WO2024032129A1 - 一种医疗设备及其显示处理方法 - Google Patents

一种医疗设备及其显示处理方法 Download PDF

Info

Publication number
WO2024032129A1
WO2024032129A1 PCT/CN2023/099219 CN2023099219W WO2024032129A1 WO 2024032129 A1 WO2024032129 A1 WO 2024032129A1 CN 2023099219 W CN2023099219 W CN 2023099219W WO 2024032129 A1 WO2024032129 A1 WO 2024032129A1
Authority
WO
WIPO (PCT)
Prior art keywords
display
display area
patient
trend
parameter data
Prior art date
Application number
PCT/CN2023/099219
Other languages
English (en)
French (fr)
Inventor
谈琳
章蕾
潘瑞玲
王慧华
邹小玲
陈钰
伍姣
Original Assignee
深圳迈瑞生物医疗电子股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳迈瑞生物医疗电子股份有限公司 filed Critical 深圳迈瑞生物医疗电子股份有限公司
Publication of WO2024032129A1 publication Critical patent/WO2024032129A1/zh

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation

Definitions

  • the present invention relates to the field of medical technology, and in particular to a medical device and a display processing method for the medical device.
  • the technical problem to be solved by this application is to provide a medical device and its display processing method that allow users to quickly locate key information from complicated data.
  • an embodiment provides a display processing method for a medical device, including:
  • a display interface of the target physiological structure is provided to the user.
  • the display interface includes at least one of a third display area, a fourth display area, and a fifth display area and a first display area. area and the second display area; among them,
  • the first display area is used to display overview information of the target physiological structure.
  • the overview information is generated based on the parameter data of the first type of clinical parameters.
  • the overview information at least includes statistical information of the parameter data of the patient's important physiological parameters. ;
  • the second display area is used to display historical trends of the second type of clinical parameters
  • the third display area is used to display the first abnormal event that occurs in the target physiological structure, and the first abnormal event is determined based on the parameter data of the third type of clinical parameters;
  • the fourth display area is used to display the distribution statistical results of the parameter data of the fourth type of clinical parameters in at least two parameter intervals, and the distribution statistical results are used to characterize the achievement of the preset goals by the fourth type of clinical parameters. ;
  • the fifth display area is used to display diagnosis and treatment information related to the target physiological structure, and the diagnosis and treatment information is determined based on parameter data of the fifth type of clinical parameters.
  • an embodiment provides a medical device, including:
  • Memory used to store programs
  • a processor configured to implement the above method by executing programs stored in the memory.
  • an embodiment provides a computer-readable storage medium, a program is stored on the medium, and the program can be executed by a processor to implement the above method.
  • multiple types of clinical parameters are first selected from a large number of clinical parameters according to the target physiological structure, and based on the parameter data of the multiple types of clinical parameters, a display interface of the target physiological structure is provided to the user.
  • the display interface includes at least one of a third display area, a fourth display area and a fifth display area and a first display area and a second display area, wherein the first display area is used to display overview information of the target physiological structure, and the second display area
  • the display area is used to display the historical trends of the second type of clinical parameters
  • the third display area is used to display the first abnormal events that occur in the target physiological structure
  • the fourth display area is used to display the parameter data of the fourth type of clinical parameters in at least two
  • the fifth display area is used to display diagnosis and treatment information related to the target physiological structure.
  • Figure 1 is a structural block diagram of a medical device according to an embodiment
  • Figure 2a is a display interface of a circulation system according to an embodiment
  • Figure 2b is a display interface of a respiratory system according to an embodiment
  • Figure 2c is a heart display interface according to an embodiment
  • Figure 2d is a display interface of a nervous system according to an embodiment
  • Figure 3a is a schematic diagram of a second display area according to an embodiment
  • Figure 3b is a schematic diagram of a second display area according to another embodiment
  • Figure 3c is a schematic diagram of a first window created in the second display area according to an embodiment
  • Figure 3d is a schematic diagram of a third window created in the second display area according to an embodiment
  • Figure 4 is a schematic diagram of a third display area according to an embodiment
  • Figure 5a is a schematic diagram of a fourth display area according to an embodiment
  • Figure 5b is a schematic diagram of a fourth display area according to another embodiment
  • Figure 6a is a schematic diagram of the second display area and the fifth display area in an embodiment
  • Figure 6b is a schematic diagram of a fourth window and a fifth window created in the second display area according to an embodiment
  • FIG. 7 is a flowchart of a display processing method according to an embodiment.
  • connection and “connection” mentioned in this application include direct and indirect connections (connections) unless otherwise specified.
  • FIG. 1 shows the relevant hardware and/or software architecture of the central station 100 in an embodiment.
  • Central station 100 includes processor 110 (which may be composed of one or more processors and/or controllers), memory 120 (which may include one or more computer-readable storage media), I/O subsystem 130, Display system 140, peripheral interface 150, and other input devices.
  • processor 110 which may be composed of one or more processors and/or controllers
  • memory 120 which may include one or more computer-readable storage media
  • I/O subsystem 130 Display system 140
  • peripheral interface 150 peripheral interface 150
  • Display system 140 may include at least one display screen.
  • the display screen is non-touch, and the user can input instructions through peripherals connected to the peripheral interface 150 .
  • Peripherals include but are not limited to devices such as mice, keyboards, and gesture recognition devices.
  • the display screen may include a touch layer and a display layer arranged in a stack, and the touch layer may provide an input/output interface between the central station 100 and the user;
  • the touch layer may include a resistive screen, a surface acoustic wave screen, an infrared touch screen, It is composed of optical touch screen, capacitive screen or nano film, etc. It is an inductive display device that can receive input signals such as contacts.
  • Visual output optionally includes graphics, text, charts, videos, and combinations thereof. Some or all of the visual output may correspond to user interface objects.
  • the display may also receive input from the user based on haptics and/or contact.
  • the display's touch layer forms a touch-sensitive surface that receives user input.
  • the touch layer and display controller detect contacts on the touch layer (and any movement or interruption of the touch) and convert the detected contacts into user interface objects such as one or more soft keys displayed on the touch layer. interaction.
  • the point of contact between the touch layer and the user corresponds to one or more of the user's fingers.
  • the touch layer may use LCD (liquid crystal display) technology or LPD (light emitting polymer display) technology, although other display technologies may be used in other embodiments.
  • the touch layer and display controller can detect contact and its movement or interruption using any of a variety of touch-sensitive technologies, including but not limited to capacitive, resistive, infrared and surface acoustic wave technologies, and other proximity sensors Array, or other technology used to determine one or more points of contact with the touch layer.
  • touch-sensitive technologies including but not limited to capacitive, resistive, infrared and surface acoustic wave technologies, and other proximity sensors Array, or other technology used to determine one or more points of contact with the touch layer.
  • the above-mentioned display system 140 includes more than two display screens.
  • the central station 100 may also include a communication module 160, an audio processor 170, a speaker 180, and a power supply system 190 (including a DC/DC conversion circuit and/or an AC/DC conversion circuit).
  • a communication module 160 may also include a communication module 160, an audio processor 170, a speaker 180, and a power supply system 190 (including a DC/DC conversion circuit and/or an AC/DC conversion circuit).
  • Memory 120 may include high-speed random access memory, and may also include non-volatile memory, such as one or more disk storage devices, flash storage devices, or other non-volatile solid-state storage devices. In some embodiments, memory 120 may also include memory 120 remote from one or more processors 110 , such as network-attached memory accessed via communications module 160 and a communications network (not shown), which may be the Internet, a Or multiple intranets, local area networks (LAN), wide area networks (WAN), storage area networks (SAN), etc., or appropriate combinations thereof.
  • LAN local area networks
  • WAN wide area networks
  • SAN storage area networks
  • Peripheral interface 150 couples input and output peripherals of central station 100 to processor 110 .
  • the processor 110 runs or executes various software programs and/or sets of instructions stored in the memory 120 to perform various functions and applications of the device and process data.
  • the peripheral interface 150, the processor 110 (CPU) and the memory 120 may be implemented on, for example, the same single chip. In some embodiments, they may also be implemented on multiple discrete chips.
  • the processor 110 together with the peripheral interface 150, the memory 120 or a part thereof constitute a processing unit.
  • the communication module 160 is used for receiving communication signals and converting them into electrical signals, and converting electrical signals into communication signals for sending.
  • the communication module 160 can be implemented by any method in the known technology, and mainly enables the central station 100 to communicate with an external network or other external devices.
  • the communication module 160 may access the Internet of the World Wide Web (WWW), an intranet, and/or wireless and/or wired networks such as a cellular telephone network, a local area network (LAN), and/or a metropolitan area network (MAN), and other device communications.
  • WWW World Wide Web
  • the communication module 160 may use any of a variety of communication standards, protocols and technologies, including but not limited to using wired or wireless media, including based on Bluetooth, Ethernet, 802.11(x) standards, body area networks or other wireless protocols. .
  • the audio processor 170 may receive audio data from the peripheral interface 150 , convert the audio data into electrical signals, and send the electrical signals to the speaker 180 .
  • Speaker 180 converts electrical signals into sound waves that are audible to humans.
  • I/O subsystem 130 couples display system 140 and other input devices with peripheral interface 150 .
  • I/O subsystem 130 may include a display controller and one or more other input controllers for controlling other input devices.
  • One or more other input controllers receive/send electrical signals to other input devices.
  • Other input devices may include actual buttons and similar devices.
  • the central station 100 also includes a power system 190 that provides power input to various components or modules or circuits, including a power management system, one or more power sources (eg, battery, alternating current (AC)), charging system, power fault detection circuitry , power converters or inverters, power status indicators (eg, light emitting diodes (LEDs)), and any other components related to the generation, management, and distribution of power in the central station 100 .
  • a power management system e.g, one or more power sources (eg, battery, alternating current (AC)), charging system, power fault detection circuitry , power converters or inverters, power status indicators (eg, light emitting diodes (LEDs)), and any other components related to the generation, management, and distribution of power in the central station 100 .
  • power sources eg, battery, alternating current (AC)
  • AC alternating current
  • LEDs light emitting diodes
  • the above-mentioned Figure 1 only provides a structural block diagram of the central station 100.
  • the above-mentioned central station 100 can also have more or less components or modules than in Figure 1, and can also use a combination of the above two or two. More than one component or module, or the architecture in Figure 1 can also be arranged in different configurations.
  • the various elements or modules shown in Figure 1 may be implemented in hardware, software, or a combination of both hardware and software, including one or more signal processing and/or application specific integrated circuits.
  • an embodiment of the present application provides a display processing method, including:
  • Step A100 Screen out multiple types of clinical parameters from multiple clinical parameters according to the target physiological structure. Different types of clinical parameters are divided based on different correlations.
  • the parameter data of the clinical parameters include but are not limited to at least one of the patient's monitoring data, examination data, and condition data.
  • monitoring data includes but is not limited to vital sign data and equipment data of ventilators, infusion pumps and other equipment
  • inspection data includes but is not limited to DR imaging data, CT imaging data, MRI imaging data, PET imaging data, ultrasound imaging data, volumetric imaging data, etc.
  • table data and physical test data At least one of table data and physical test data.
  • the examination data also includes but is not limited to data obtained by various laboratories or biochemical analysis devices. For example, it may include blood routine test data, liver function test data, and renal function test data.
  • condition data includes disease diagnosis data, treatment data, and nursing data and at least one of electronic medical record data.
  • obtained parameter data can be obtained through the sensors of the medical device itself, or through third-party equipment, application software, etc., or through user input. For example, the user can manually enter clinical evaluation parameters.
  • the target physiological structure is the patient's physiological system, physiological organ, physiological part, tissue, characteristics of the physiological system or characteristics of the physiological organ, wherein the physiological system includes the motor system, nervous system, endocrine system, circulatory system, respiratory system, etc.
  • physiological system includes the motor system, nervous system, endocrine system, circulatory system, respiratory system, etc.
  • physiological organs include at least one of the brain, heart, lungs, liver, stomach and kidneys
  • physiological parts include at least one of the head, chest and abdomen
  • the tissues include At least one of muscle tissue, nervous tissue, and epithelial tissue
  • characteristics of a physiological system or characteristics of a physiological organ include coagulation, nutrition, infection, or blood sugar.
  • Respiratory system-related clinical parameters include but are not limited to oxygenation index (PaO2/FiO2), blood oxygen saturation (SpO2), respiratory rate (RR), inspired oxygen concentration (FiO2), end-tidal carbon dioxide, blood gas analysis parameters and/or Ventilator parameters, among which, blood gas analysis parameters include lactic acid (Lac), arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2), etc.; ventilator parameters include tidal volume (Tv), positive end-expiratory pressure (PEEP) ), and the current oxygen supply mode to the patient, for example, whether to use SIMV ventilation mode, whether to use intubation or a mask to give oxygen, etc.
  • blood gas analysis parameters include lactic acid (Lac), arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2), etc.
  • ventilator parameters include tidal volume (Tv), positive end-expiratory pressure (PEEP) ), and the current oxygen supply mode to the patient, for example
  • Clinical parameters related to the circulatory system include but are not limited to shock index, blood pressure, cardiac output, lactate (Lac), laboratory indicators and hemodynamic parameters related to hemodynamics and perfusion.
  • blood pressure can be invasive blood pressure or non-invasive blood pressure.
  • Laboratory indicators include but are not limited to hemoglobin (Hb or HGB), red blood cell count (RBC), pH, HCO3, base surplus (BE);
  • blood flow Kinetic parameters include but are not limited to central venous pressure (CVP), peripheral vascular resistance index (SVRI), pulmonary water index (ELWI), and central venous blood oxygen saturation (ScvO2).
  • Nervous system-related clinical parameters include but are not limited to consciousness scores, brain blood pressure, blood oxygen indicators, and nervous system-related clinical assessment results.
  • the clinically commonly used consciousness score is the GCS score (Glasgow Coma Score), but users are also allowed to define their own consciousness scoring rules.
  • Clinical assessment results related to the nervous system include but are not limited to the assessment of pupil size, pupillary light reflex assessment, and limb muscle strength. Assessment etc.
  • Cardiac-related clinical parameters include cardiac-related risk assessment results, heart rate, and cardiac-related biochemical indicators.
  • the heart-related risk assessment results may be, for example, TIMI (Thrombolysis in Myocardial Infarction) score. If the medical subject undergoes GRACE (Global Registry of Acute Coronary Syndrome) assessment, the heart-related risk assessment results may also include the GRACE score.
  • Heart-related biochemical indicators can be, for example, creatine kinase isoenzyme (CK-MB), troponin (cTn), natriuretic titanium (NT-proBNP), etc.
  • Liver-related clinical parameters include but are not limited to liver function assessment indicators.
  • the liver function evaluation indicators provided by default include alanine aminotransferase (ALT), ⁇ -glutamyl transferase (GGT), total bilirubin (Tbil), direct bilirubin (Dbil), and blood ammonia (AMM).
  • Kidney-related clinical parameters include but are not limited to creatinine indicators and fluid input and output.
  • the fluid input includes the total intake in 24 hours and the amount of fluid pumped into the human body by the infusion pump within 24 hours. Furthermore, the amount of liquid input may also include the amount of dietary liquid, etc.
  • Fluid output includes 24-hour urine output, 24-hour drainage fluid volume, and other equipment dehydration fluid volumes, etc. Fluid output can also include sweating, excretion, vomiting, bleeding fluid volume, etc.
  • Infection-related clinical parameters include infection-related biochemical index parameters and infection-related vital sign parameters.
  • the biochemical index parameters 503 related to infection include but are not limited to white blood cell count (WBC), C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), and neutrophil ratio (NEU%); vital sign parameters related to infection include but are not limited to body temperature.
  • Clinical parameters related to coagulation include, but are not limited to, coagulation risk assessment results, coagulation indicators, and bleeding indicators.
  • the Caprini scale can be used to assess coagulation risk
  • the Padua scale can be used to assess coagulation risk.
  • the coagulation index 1202 includes at least one of the following: activated partial thromboplastin time (APTT), Thrombin time (TT), fibrinogen (Fib), D-dimer (D-dimer), fibrin degradation product (FDP), antithrombin III (AT-III).
  • Bleeding indicators include platelets (PLT) and occult blood (OB).
  • Nutrition-related clinical parameters include but are not limited to energy metabolism monitoring results, trace element supply amounts, and feeding methods.
  • energy metabolism monitoring results include energy metabolism values (EE) and their changing trends.
  • Trace elements mainly include calcium, iron, potassium, Sodium, magnesium, etc.
  • Feeding methods mainly include parenteral nutrition and enteral nutrition. Among them, parenteral nutrition can also be subdivided into deep intravenous nutrition and superficial intravenous nutrition; enteral nutrition can also be subdivided into nasogastric feeding, gastric tube, etc.
  • the target physiological structure can be a selected one of the multiple physiological structures mentioned above. In some embodiments, the target physiological structure is the default.
  • the respiratory system can be used as the target physiological structure after the ventilator is turned on. structure.
  • the medical device can provide the user with optional physiological structures, and the user determines the target physiological structure from the optional physiological structures.
  • the target physiological structure can be switched. For example, the user first If you select the respiratory system as the target physiological structure, and then want to view parameter data about clinical parameters of the circulatory system, you can switch the target physiological structure from the respiratory system to the circulatory system.
  • the correlation in the above steps refers to the correlation between clinical parameters belonging to the same category.
  • the correlation here should be understood in a broad sense. For example, if two clinical parameters can both reflect a certain state of the target physiological structure, then the two clinical parameters are relevant. For example, if the two clinical parameters cooperate, the target physiological structure can be seen. Whether there are structural abnormalities, these two clinical parameters are also relevant.
  • multiple types of clinical parameters are selected from multiple clinical parameters based on preset rules.
  • the preset rules can be diverse, with the purpose of obtaining from a large number of clinical parameters that are related to the target physiological structure or can reflect the target physiology.
  • Clinical parameters of the state of the structure Any rules that can achieve this purpose are called rules in this embodiment. For example, they can be filtered out according to at least one of the source equipment, functions and usage scenarios of multiple clinical parameters.
  • Multiple categories of clinical parameters associated with target physiological structures For example, multiple clinical parameters related to the respiratory system are divided into one category acquired by device A and another category acquired by device B.
  • multiple types of clinical parameters are screened out from multiple clinical parameters based on the user's selection.
  • multiple types of clinical parameters can also be screened out based on a preset machine learning algorithm, for example, recording the user's After the frequently used clinical parameters of the target physiological structure are selected, multiple clinical parameters are screened according to the user's selection.
  • heart rate may be a clinical parameter of category A or a clinical parameter of category B.
  • Step A200 Provide the user with a display interface of the target physiological structure based on the parameter data of multiple types of clinical parameters.
  • the display interface includes a first display area 10a, a second display area 10b, a third display area 10c, a fourth display area 10d and a fifth display area 10e.
  • the display interface may include the first display area 10a and the second display area 10b, and at least one of the third display area 10c and the fourth display area 10d and the fifth display area 10e.
  • Figures 2a to 2d are schematic diagrams of the display interface for the target physiological structures of the circulatory system, respiratory system, nervous system and heart respectively. These five target physiological structures can be switched through the switching bar at the top of Figures 2a to 2d.
  • each display area is displayed in the form of a card.
  • one display area may include one or more cards.
  • the first display area 10a is used to display overview information of the target physiological structure.
  • the overview information is generated based on parameter data of the first type of clinical parameters.
  • the first type of clinical parameters include parameters related to the target physiological structure. All physiological parameters, that is, the overview information is generated based on the parametric data of all physiological parameters.
  • Overview information includes, but is not limited to, statistical information of parameter data of the patient's important physiological parameters (at least one type of statistical information among fluctuation range, cumulative number, maximum value, minimum value and mean value over a period of time), abnormal statistics of the target physiological structure (such as Frequency, frequency, proportion, etc.
  • the first display area 10a can express the core parameters or indicators in the target physiological structure in the form of visual graphics, helping the user to quickly obtain key information.
  • the display interface expresses the macroscopic status of the patient as a whole and/or the target physiological structure in various ways to assist the user to quickly grasp the overall situation of the patient as a whole and/or the target physiological structure. Specifically, it can be displayed in the above-mentioned Express the macroscopic state of the patient as a whole and/or the target physiological structure in one or more display areas. For example, the macroscopic state of the patient as a whole can be expressed in one display area, and the macroscopic state of the target physiological structure can be expressed in another display area, or, In the same display area, both the overall macroscopic state of the patient and the macroscopic state of the target physiological structure are expressed.
  • the first display area 10a is used as an example to express the macroscopic state of the patient's entire body and/or the target physiological structure. For example, information about the macroscopic state is displayed in the above overview information.
  • the background or icon of the first display area 10a when the first display area 10a expresses the patient's overall macroscopic state, if the patient's various physiological structures are normal, the background or icon of the first display area 10a is green. When the patient's physiological structures appear abnormal, The number exceeds the preset threshold, or the degree of abnormality of a certain physiological structure exceeds the preset threshold, then the background or icon status of the first display area 10a is red.
  • the first display area 10a when the first display area 10a expresses the macroscopic state of the target physiological structure, there are several possibilities: when the target physiological structure is a certain physiological system of the patient, the first display area 10a can express the macroscopic state of the physiological system. , when the target physiological structure is a certain physiological organ of the patient, the first display area 10a can express the macroscopic state of the physiological system. When the target physiological structure is a certain tissue of the patient, the first display area 10a can express the patient's tissue. state. When the target physiological structure is a characteristic of a certain physiological system or a physiological organ of the patient, the first display area 10a can express the macroscopic state of the characteristic.
  • the background or icon status of the first display area 10a is red to indicate that the macroscopic state of the target physiological structure is abnormal.
  • the background or icon status of the first display area 10a is red.
  • the icon is green.
  • the first display area 10a is used to display the evaluation results of the patient's status to reflect the overall macroscopic status of the patient or the macroscopic status of the target physiological structure, wherein the patient status may include the status of the overall patient and/or the target physiological structure.
  • the patient state includes the clinically defined state of one or more of the patient as a whole, physiological systems, physiological organs, physiological parts, tissues, characteristics of physiological systems, and characteristics of physiological organs, reflecting the physiological functions of that part , such as unstable circulation and insufficient perfusion of the circulatory system.
  • the evaluation result of the patient's status may be a prediction result of the patient's future status or a judgment result of the patient's current status.
  • patient status such as "circulatory instability" in the drawings or text of this application may refer to the patient's current circulatory instability, or may refer to the patient's potential for circulatory instability in the future.
  • the prediction results of the patient's future status represent the development trend of the patient's status. Presenting the prediction results of the patient's future status can help medical staff intervene early to avoid or slow down the deterioration of the patient's status. Presenting the judgment results of the patient's current status also helps medical staff to provide targeted treatment in a timely manner.
  • the evaluation results of the patient's status can be displayed in various ways, specifically:
  • the evaluation results of the patient's status may be displayed in the form of text, graphics, or a combination of both.
  • strings related to the patient's status can be pre-configured.
  • the strings include strings that represent the patient's overall or target physiological structure, and strings that represent specific states, such as circulatory system + possible shock / possible heart failure / Possible internal bleeding, respiratory system + possible respiratory depression, nervous system + possible cerebral hemorrhage, urinary system + possible kidney failure, immune system + possible severe infection, etc.
  • the string can have various forms, as long as it can reflect the patient's status.
  • the string used to characterize heart failure can be "the circulatory system may have heart failure", "the patient may have heart failure", “the patient is at risk of heart failure", etc.
  • Strings can be preset by experts for each patient's status, or can be adjusted to the current specific patient status using methods related to natural language processing. For example, the string may also allow the user to configure or modify it.
  • the patient's state is represented by a state graph 60.
  • the state graph 60 simulates the organs included in the circulatory system to visually represent the circulatory system.
  • the status graph 60 is green, it indicates that the circulatory system status is normal.
  • the status graph 60 When the status graph 60 is red, it indicates that the circulatory system status is abnormal.
  • the status graph 60 includes a graph of the lung lobes to vividly represent the respiratory system.
  • the status graph 60 When the status graph 60 is green, it represents breathing. The system status is normal.
  • the status graph 60 When the status graph 60 is red, it indicates that the respiratory system status is abnormal.
  • the character "Unstable Breathing" is also displayed on the right side of the status graph 60 to indicate the current abnormality of the respiratory system; in Figure 2c, the status graph 60 includes a figure of a heart to vividly represent the heart.
  • the status figure 60 When the status figure 60 is green, it indicates that the heart status is normal, and when the status figure 60 is red, it indicates that the heart status is abnormal; in Figure 2d, the status figure 60 includes a figure of a brain. To vividly represent the nervous system, when the status graph 60 is green, it means that the nervous system is in a normal state, and when the status graph 60 is red, it means that the nervous system is in an abnormal state.
  • the patient status includes the deterioration status of the patient as a whole or the target physiological structure, for example, whether the target physiological structure is currently deteriorating, or whether deterioration is likely to occur in the future, etc.
  • the patient's status may also include whether the patient's overall or target physiological structure is abnormal, abnormality level, criticality level, care level, etc.
  • the status of the circulatory system may include circulatory abnormality or circulatory normality, and circulatory abnormality may further include circulatory minor abnormality or severe circulatory abnormality. For example, in the first display area 10a of FIG. Risk” to indicate possible future deterioration of the circulatory system.
  • patient status may also include specific diseases related to the patient's overall or target physiological structure, such as acute respiratory distress syndrome (ARDS), respiratory failure, acute kidney injury (AKI), sepsis, heart failure, brain Damage etc.
  • ARDS acute respiratory distress syndrome
  • AKI acute kidney injury
  • sepsis sepsis
  • heart failure heart failure
  • brain Damage etc.
  • the patient status may also include an unknown status or a suspected abnormal status.
  • the patient's status can be evaluated according to specific evaluation rules that are clinically available and have a consensus to obtain an evaluation result of the patient's status.
  • the patient's score can be obtained through scoring rules such as SOFA (Sequential Organ Failure) score, NEWS (UK Early Warning) score, etc., and the score can be used as the evaluation result; or, the score can be evaluated based on specific scoring rules configured through clinical surveys, etc.
  • the patient's status is evaluated. For example, when the parameter data of the first type of clinical parameter satisfies one or more preset rules, it is determined that the patient has a patient status corresponding to the preset rule. Or, use machine learning models to assess the patient's status. It can also integrate multiple parameter data to evaluate the patient's status, and obtain accurate and credible patient status evaluation results.
  • the evaluation result may be judged based on at least one of the following: the patient's criticality, the patient's condition type, the stability of the patient's status, the type of department where the patient is located, The location of the ward where the patient is located, the patient's bed number, the role of the patient's bed doctor, the clinical operations performed by the medical staff on the patient, the information related to the patient's level judgment input by the medical staff in advance, the patient's admission time, the patient's location The type or dose of ingested drugs, cardiopulmonary status classification assessment results, SOFA score, NEWS score or user-entered score, etc.
  • the purpose of the SOFA score is to describe the occurrence, development and evaluation of the incidence of multi-organ dysfunction, involving six scoring indicators of the respiratory system, blood system, liver, cardiovascular system, central nervous system and kidney.
  • Each scoring indicator has The score range is 0-4 points, and the sum of the scores is the total SOFA score. The higher the score, the worse the prognosis.
  • the NEWS score involves six scoring indicators: respiratory rate, blood oxygen saturation, body temperature, systolic blood pressure, pulse and level of consciousness.
  • the score range of each scoring indicator is 0-3 points. When the patient needs oxygen, an additional 2 points will be added. , the sum of the scores of each indicator is the total NEWS score.
  • the cardiopulmonary status grading evaluation result is the evaluation result obtained by grading the cardiopulmonary status based on both respiratory and circulatory aspects. Among them, if the severity of either respiratory instability or circulatory instability is high, the evaluation result is high, and the severity of respiratory instability and circulatory instability is high. The evaluation result is intermediate if neither circulatory instability is high nor unstable, and low-grade if neither breathing nor circulation instability is found. The higher the grade, the more serious the condition.
  • patient status assessment results can also be assessment results based on other assessment standards, or they can also be subjective and manually set scores by the user, etc.
  • multiple patients can be divided into multiple patient levels with different degrees of criticality based on the evaluation results of the patient's status, and a level indicator used to represent the level is displayed in the first display area 10a.
  • Patients with higher criticality may have higher priority, but are not limited to this.
  • the same level can be set for different evaluation results, such as high level, medium level and low level.
  • the number of levels is not limited to three.
  • the patient's level may also include only the first level and the second level, or a fatal level may be set above the high level.
  • the classification can be based solely on the patient status assessment results, or the patient status assessment results can be combined with other patient information for classification.
  • grading when grading according to the SOFA score, it is classified as advanced when the score is greater than or equal to 5 points; or when the score is greater than or equal to 2, vasopressors are used simultaneously, MAP (mean arterial pressure) ⁇ 65mmHg, and serum lactate When >2mmol, it is also classified as high-level; when the score is between 2 and 4 points, it is classified as intermediate, and when the score is between 0 and 1, it is classified as low-level.
  • grading is based on the NEWS score, when the score is greater than or equal to 7 points, it is classified as advanced. When the score is between 5 and 6 points, or when a single indicator gets 3 points, it is classified as intermediate.
  • the score When the score is between 5 and 6 points, it is classified as intermediate. Time between 0-4 points is classified as low level.
  • the cardiopulmonary status grading assessment results themselves are divided into low, intermediate and high levels, and the grading results can be directly used.
  • the grading rules can also be defined by the user, or multiple of the above scoring rules can be used to comprehensively assess the level.
  • the level when the patient's status includes the overall status of the patient, when the criticality is high, the level is identified as Roman numeral "I"; when the criticality is intermediate, the level is identified as Roman numeral “II”; when the criticality is intermediate, the level is identified as Roman numeral "II"; At lower levels, the level is designated by the Roman numeral "III".
  • the criticality level may be represented graphically.
  • the criticality of the target physiological structure may also be represented by the above-mentioned state graph 60 .
  • the target physiological structure is the circulatory system, and the color of the status graph 60 can represent the criticality of the circulatory system.
  • the status graph 60 is green, it indicates that the criticality of the circulatory system is low.
  • the status graph 60 When it is yellow, it indicates that the criticality of the circulatory system is intermediate.
  • the status graph 60 is red, it indicates that the criticality of the circulatory system is high.
  • the target physiological structure is the respiratory system, and the color of the status graph 60 can represent the respiratory system.
  • the status graphic 60 When the status graphic 60 is green, it indicates that the criticality of the respiratory system is low-level. When the status graphic 60 is yellow, it indicates that the criticality of the respiratory system is intermediate. When the status graphic 60 is red, it indicates that the criticality of the respiratory system is low-level. The degree of criticality is high; in Figure 2c, the target physiological structure is the heart, and the color of the status graph 60 can represent the degree of criticality of the heart. When the status graph 60 is green, it indicates that the degree of criticality of the heart is low. When the status graph 60 is yellow When the status graph 60 is red, it indicates that the criticality of the heart is intermediate. When the status graph 60 is red, it indicates that the criticality of the heart is high.
  • the target physiological structure is the nervous system
  • the color of the status graph 60 can represent the criticality of the nervous system.
  • the status graphic 60 when the status graphic 60 is green, it indicates that the criticality of the nervous system is low level; when the status graphic 60 is yellow, it indicates that the criticality of the nervous system is medium; when the status graphic 60 is red, it indicates that the criticality of the nervous system is advanced.
  • the criticality level can also be represented by graphics as shown in Figures 2a to 2b.
  • Figures 2a to 2b For example, a figure of a human body is displayed in any display area, and by changing the shape of the figure The display method distinguishes different degrees of criticality; and when the patient's status includes the state of the target physiological structure, the different degrees of criticality can also be distinguished not by graphics but by numbers or scores.
  • the specific parameter ranges of the parameter data of some first-type clinical parameters can also be presented in the first display area 10a through various methods such as histograms, bar graphs, and spider charts.
  • the first display area 10a will be described below with reference to Figures 2a to 2b.
  • Figure 2a shows the display interface corresponding to the circulation system.
  • the parameter changes in the circulatory system over a period of time are first displayed in the form of a graph, from which abnormal values of parameter data in the circulatory system can also be seen.
  • numerical statistics such as heart rate and blood pressure are statistical information of parameter data of important physiological parameters in the circulatory system
  • descriptions of shock index and circulatory status are abnormal statistics in the circulatory system
  • shock index "A period of shock or severe shock is possible”
  • the "risk of circulation deterioration" in the description of circulatory status are risk prediction information for the circulatory system.
  • the SI value is also calculated according to the corresponding rules
  • the GCS score is calculated according to the GCS scoring rules.
  • Figure 2b shows the display interface corresponding to the respiratory system.
  • the first display area 10a statistical information of parameter data of important physiological parameters in the respiratory system is displayed on the right side of the lung graphic.
  • “Consider adjusting the ventilatory support mode or parameters” is the parameter data in the respiratory system.
  • Diagnosis and treatment recommendations; "Presence of the above risk of pressure” is risk prediction information in the respiratory system.
  • the second display area 10b is used to display historical trends of the second type of clinical parameters. This historical trend can at least trace the patient's past vital signs and treatment status.
  • the parameter data or statistical values of the second type of clinical parameters at certain historical moments can be directly displayed in the second display area 10b to reflect the historical trend of the second type of clinical parameters.
  • the historical trend of the second type of clinical parameter includes multiple trend graphs of the second type of clinical parameter, and the multiple trend graphs share the same timeline.
  • the multiple trend graphs may not be divided into groups, or the multiple trend graphs may be divided into at least two trend groups, and each trend group includes at least one trend graph of the second type of clinical parameter; each trend group There is a corresponding displayed trend group identifier and a switching display control for folding and displaying the trend graph in the trend group.
  • the trend graph in the trend group is in the display state, if the user's input to the switching display control is detected to open the folding operation, Then collapse the trend graph in the trend group; when the trend graph in the trend group is in the folded state, if the user's input to switch the display control is detected to open the display operation, the collapsed trend graph in the trend group will be displayed.
  • the trend graph within each trend group can be folded and expanded.
  • the advantage of this is that through the concept of trend groups, clinically relevant clinical parameters are presented in a centralized manner, making it convenient for users to compare and analyze parameter data of multiple groups of clinical parameters.
  • the second display area 10b of the circulatory system display interface as an example, as shown in Figure 3a and Figure 3b, it includes several trend groups: physical signs trend group, input and output group, vasoactive drug group and sedative drug group, wherein, The trend group identifiers of the trend groups "Signs Trend", “Input and Output”, “Vasoactive Drugs” and “Sedative Drugs".
  • the lower triangle on the left side of the trend group identifier is a switching display control.
  • Each trend group can be Expand or collapse to adapt to more clinical diagnosis and treatment scenarios.
  • the vasoactive drug group and the sedative drug group are collapsed.
  • the user needs to view the impact of vasoactive drugs on blood pressure, they can collapse the "input and output amount" "Trend group allows the vital sign parameter group and the vasoactive drug trend group to be presented together to help users make data comparisons more flexibly.
  • the trend graph and parameter data of the second type of clinical parameters can be displayed at the same time.
  • the second display area 10b can display the history of the second type of clinical parameters while displaying the trend graph of the second type of clinical parameters. time parameter data and/or real-time parameter data.
  • the third display area 10c is used to display the first abnormal event occurring in the target physiological structure, and the first abnormal event is determined based on the parameter data of the third type of clinical parameter.
  • the first abnormal events in the third display area 10c include but are not limited to alarms of abnormal clinical parameters, user-defined abnormal events of concern, critical value events from vital sign monitoring or laboratory or imaging systems, as well as treatment, support, and monitoring. Device alarm events.
  • the user can view the patient's vital sign waveform and parameters when the first abnormal event occurred to understand the full picture of the event.
  • the third display area 10c of the circulatory system in Figure 4 after the user clicks on an abnormal event indicating abnormal blood oxygenation, the third display area 10c expands and displays the trend chart of the blood oxygenation. You can also expand and view the patient's complete abnormal event list through operations in the third display area 10c to meet the user's data analysis needs in different dimensions.
  • the fourth display area 10d is used to display the distribution statistical results of the fourth type of clinical parameters in at least two parameter intervals, and the distribution statistical results are used to characterize the achievement of the preset goals by the fourth type of clinical parameters.
  • Figure 5a shows the fourth display area 10d of the display interface of the circulatory system. It can be seen from it that there are five parameter intervals for the heart rate in the past 20 hours and 30 minutes. Among them, the cumulative duration of the heart rate falling within the parameter interval of 60 to 100 There are 60%.
  • medical staff can customize the target statistics of which clinical parameters specifically need to be viewed under the target physiological structure, customize the specific target range, and the detailed rules for segmented statistics of the clinical parameters.
  • the fourth display area 10d can also be expanded, as shown in Figure 5b, to display the trend chart of the fourth type of clinical parameter, and when the user selects a certain parameter interval, the corresponding trend chart can Displays the time periods during which the clinical parameter falls into the parameter range. In other words, it can present a more detailed target statistical distribution and its correlation with the patient's clinical parameter trend, as well as the corresponding distribution of these clinical parameters in different time periods.
  • the fifth display area 10e is used to display diagnosis and treatment information related to the target physiological structure.
  • the diagnosis and treatment information is determined based on the fifth type of clinical parameters, where the diagnosis and treatment information at least includes inspection data and/or condition data of the target physiological structure.
  • a corresponding trend chart can be generated based on the examination data and/or condition data, and the trend chart of the examination data and/or condition data can be displayed in the fifth display area 10e. That is to say, the fifth display area 10e can also The corresponding trend graph is displayed like the second display area 10b, and the time axis of the trend graph in the second display area 10b and the time axis in the fifth display area 10e may be the same or different.
  • the time axis in the second display area 10b is defined as the first time axis 20a
  • the time axis in the fifth display area 10e is defined as the second time axis 20b
  • the time period represented by the first time axis 20a is different from the time period represented by the second time axis 20b, and there are the following possibilities:
  • the time period represented by the first time axis 20a is different from the time period represented by the second time axis 20b.
  • the time periods represented by axis 20b do not intersect.
  • the first time axis 20a represents the time period from the past 24 hours to the past 12 hours
  • the second time axis 20b represents the time period from the past 12 hours to the present; in some embodiments, the time period represented by the first time axis 20a intersects with the time period represented by the second time axis 20b.
  • the first time axis 20a represents the time period from the past 24 hours to the past 8 hours
  • the second time axis 20b represents The time period from the past 12 hours to the present
  • one of the time period represented by the first time axis 20a and the time period represented by the second time axis 20b includes the other, for example, the first time axis 20a represents the time period from the past 24 hours to the present, and the second time axis 20b represents the time period from the past 12 hours to the present.
  • the duration represented by the unit scale on the first time axis 20a is different from the duration represented by the unit scale on the second time axis 20b.
  • the duration represented by each unit scale on the first time axis 20a is 1s
  • the duration represented by the unit scale on the second time axis 20a is 1s
  • the duration represented by each unit scale on 20b is 5 seconds.
  • the above-mentioned first situation and the second situation may occur at the same time.
  • the first time axis 20a represents the period from the past 12 hours to the present
  • the second time axis 20b represents the period from the past 24 hours to the present.
  • the duration represented by each unit scale on the first time axis 20a is 1s
  • the duration represented by each unit scale on the second time axis 20b is 2s, then the lengths of the first time axis 20a and the second time axis 20b same.
  • the first time axis 20a may be displayed in the second display area 10b, or may be hidden.
  • the second time axis 20b may be displayed in the fifth display area 10e, or may be hidden.
  • the examination results and/or condition results obtained based on the examination data and/or condition data can also be displayed in the fifth display area 10e. That is to say, the medical equipment can perform analysis based on the examination data and/or condition data. , and then display the analyzed examination results and/or condition results in the fifth display area 10e, thereby saving the user's workload required for analysis.
  • the examination data and/or condition data are displayed in a graphical manner, or can also be presented through currently existing analysis tools, including but not limited to hemodynamic real-time monitoring tools of the circulatory system, respiratory system Human-machine confrontation assessment tools, sedation and analgesia assessment tools, PRx tools in the nervous system, etc.
  • the fifth display area 10e will be described below with reference to Figures 2a to 2c.
  • the first card from top to bottom includes inspection data displayed in numerical form and inspection data displayed in graphical form or inspection results obtained based on the inspection data.
  • the "Image” card includes thumbnails of ultrasound images. As mentioned above, thumbnails of ultrasound images are also a type of inspection data.
  • the card at the bottom includes multiple trend charts. Each trend chart is formed by a single point of inspection data. Discrete trend chart.
  • the first card from top to bottom includes human-machine confrontation evaluation tools
  • the second card includes sedation and analgesia evaluation tools
  • the third card includes thumbnails of ultrasound images
  • the fourth card includes thumbnails of ultrasound images.
  • Each card includes a discrete trend graph of the inspection data.
  • Figure 2c is the display interface corresponding to the heart.
  • the first card from top to bottom displays the absolute value and variation of the ST value through a histogram
  • the second card includes thumbnails of ultrasound images and discrete trend charts of inspection data
  • the third card Each card also includes discrete trend graphs to examine the data.
  • the first moment selected by the user is determined, and then the first parameter data of the second type of clinical parameter associated with the first moment is displayed in a set manner.
  • the first parameter data of the second type of clinical parameter at the first time can be displayed in a set manner, or the first parameter data within a preset time period between the second clinical parameter and the first time can be displayed in a set manner. data.
  • the first selection operation is an operation performed by the user in the second display area 10b, which may include but is not limited to the following situations:
  • the third display area 10c includes an area for the user to select points.
  • the user selects any point in the area, according to The corresponding position of the point on the first time axis 20a can determine the first moment; in other embodiments, when the trend chart of the second type of clinical parameter is a continuous trend chart, the user can Any point can be selected, and the first moment can be determined based on the corresponding position of the point on the first time axis 20a; when the trend chart of the second type of clinical parameter is a discrete trend chart, the user can first select the trend chart a discrete point on the first time axis 20a, and then determine the first moment according to the position of the discrete point on the first time axis 20a.
  • the second display area 10b further includes a first reference cursor 40a movable along the first time axis 20a.
  • a first reference cursor 40a movable along the first time axis 20a.
  • the first reference cursor 40a is moved or changed to the first time display corresponding to the point; for another example, the user can drag the first reference cursor 40a to determine the first time.
  • time for example, if the user drags the first reference cursor 40a to a certain position along the first time axis 20a and then inputs a confirmation instruction, the first time can be determined based on the position of the first reference cursor 40a on the first time axis 20a. .
  • the first selection operation may also be an operation performed by the user in the third display area 10c. For example, if the user clicks on the first abnormal event in the third display area 10c, the time when the selected first abnormal event occurs is regarded as the first time.
  • the first selection operation may also be an operation performed by the user in the fifth display area 10e:
  • the fifth display area 10e includes an area for the user to select points.
  • the user selects any point in the area, the user selects a point based on the point.
  • the corresponding position on the second time axis 20b can determine the first moment; in other embodiments, when the trend chart of the examination data and/or condition data is a continuous trend chart, the user can Select any point, and the first moment can be determined based on the corresponding position of the point on the second time axis 20b; when the trend chart of the examination data and/or condition data is a discrete trend chart, the user can first select the trend A discrete point on the graph, and then the first moment is determined based on the position of the discrete point on the second time axis 20b.
  • the first selection operation may also be an operation performed in other areas of the user display interface.
  • the first parameter data is displayed in a set manner, including any of the following methods:
  • the first parameter data is displayed in the second display area 10b.
  • the second display area 10b includes a trend graph of the second type of clinical parameter
  • the first parameter data is displayed near the position corresponding to the first parameter data on the trend graph of the second type of clinical parameter, so that The first parameter data is in a more prominent position.
  • the second display area 10b further includes a first reference cursor 40a movable along the first time axis 20a.
  • the first reference cursor 40a moves or changed to the first time display corresponding to the point.
  • the first window 50a can be created near the first reference cursor 40a. This is equivalent to establishing a connection between the first window 50a and the first reference cursor 40a indicating the first moment, making the user more intuitive. Feel the relationship between the first parameter data and the first moment.
  • the first parameter data is displayed in the sixth display area of the display interface.
  • the sixth display area is independent of the first display area 10a, the second display area 10b, the third display area 10c, the fourth display area 10d and the fifth display area.
  • Zone 10e That is to say, the first parameter data is displayed in a separate area of the display interface.
  • the second display area 10b is also used to display a mark 30 of at least one event associated with the patient.
  • the events include but are not limited to the patient's second abnormal event, the examination event experienced by the patient, the test event and the treatment event.
  • the second abnormal event includes but is not limited to alarms for abnormal clinical parameters, user-defined abnormal events of concern, critical value events from vital sign monitoring or laboratory or imaging systems, and alarm events from treatment, support, and monitoring equipment. .
  • the user can view the patient's vital sign waveform and parameters when the second abnormal event occurs to understand the full picture of the event.
  • the first abnormal event and the second abnormal event may be at least partially the same, or may be completely different, which is not limited in this application.
  • At least one event displayed in the second display area can be displayed as an event bar, or divided according to a preset type and then displayed as multiple event bars.
  • the multiple event bars can include but are not limited to: the target physiological event bar.
  • the second abnormal event of the structure is classified as one event bar; the examination events, testing events and treatment events experienced by the patient are classified as another event bar; the occurrence of any one or more other physiological structures besides the target physiological structure within a period of time
  • the second abnormal event is classified into an event bar.
  • time A is defined as the time when the second abnormal event occurs; for another example, an ultrasound examination of the patient at time B is obtained. If the ultrasound image data is obtained, then the patient has experienced a test event at time B; for another example, if a routine blood test is performed on the patient's blood sample at time C and a blood routine test result is obtained, then the patient has experienced a test event at time C; for another example, at time D, the patient has The patient is infused with therapeutic drugs, and the patient experiences a therapeutic event at time D.
  • the markers 30 of different types of events are displayed in different ways. For example, the marker 30 of the second abnormal event is red, and the marker 30 of the inspection event is blue. In other embodiments, the mark 30 of the event may also be other symbols, characters, etc.
  • the markers 30 of the story events can also be sorted according to the order of time.
  • the markers of the events in the second display area 10b 30 may be distributed along the first time axis 20a, that is, multiple information of different types also share the same time axis.
  • the event markers 30 may form an event bar along the first timeline 20 a .
  • the event markers 30 of different types form different event bars, for example, the event markers 30 of the second abnormal event may form different event bars.
  • the markers 30 form one event bar parallel to the first time axis 20a, and the markers 30 of the check events form another event bar parallel to the first time axis 20a.
  • the user can determine the first moment by selecting any marker 30. For example, if the user selects a second abnormal event, the user will select the second abnormal event. The moment when the second abnormal event occurs is regarded as the first moment.
  • the access portal of the first target event is used to provide detailed information of the first target event in response to the user's operation. For example, by clicking the access portal, the user can cause the display interface to jump to display the detailed information of the first target event.
  • the first target event is an event associated with the first moment among at least one event.
  • the first target event is an event that occurs to the patient within a first preset time period from the first moment.
  • the detailed information of the first target event includes but is not limited to the cause, manifestation, etc. of the abnormality; when the first target event is an examination event experienced by the patient, the first target event
  • the detailed information of a target event includes but is not limited to data, imaging data, etc. obtained through detection; when the first target event is a test event experienced by the patient, the detailed information of the first target event includes but is not limited to data obtained through test analysis. Data, etc.; when the first target event is a treatment event experienced by the patient, the detailed information of the first target event includes but is not limited to the means of treatment, physiological parameters before and after treatment, etc.
  • the method of displaying the detailed information of the first target event or the access portal of the first target event includes any of the following:
  • the detailed information or access portal of the first target event is displayed in the blank area of the second display area 10b.
  • the first parameter data is displayed near the position corresponding to the first parameter data on the trend chart of the second type of clinical parameter.
  • the blank area in the second display area 10b displays the detailed information or access portal of the first target event.
  • a second window can also be created to display the first parameter data and the detailed information of the first target event or the access portal of the first target event in the second window.
  • the second display area 10b further includes a first reference cursor 40a movable along the first time axis 20a.
  • a first reference cursor 40a movable along the first time axis 20a.
  • the first reference cursor 40a is moved or changed to the first moment display corresponding to the point, and a second window can be created near the first reference cursor 40a, which is equivalent to A connection is established between the second window and the first reference cursor 40a indicating the first moment, so that the user can more intuitively feel the first reference data and the detailed information of the first target event or the access entrance and the first target event. relationship between moments.
  • the first window 50a is the same as the second window.
  • the detailed information of the first target event or the access entrance to the first target event is displayed in the seventh display area of the display interface.
  • the seventh display area is independent of the first display area 10a, the second display area 10b, and the third display area.
  • the sixth display area and the seventh display area are the same.
  • the first abnormal event associated with the first moment may also be highlighted, for example, the first abnormal event that occurred near the first moment may be highlighted.
  • the first abnormal event may also be displayed in at least one of the first window 50a, the second window, the sixth display area, and the seventh display area.
  • the examination data and/or condition data associated with the first time can also be displayed in a set manner.
  • parameter data for example, the third parameter data can be directly displayed in the fifth display area 10e.
  • the third parameter is displayed near the position corresponding to the third parameter data on the trend graph of the examination data and/or condition data. data to make the third parameter data in a more eye-catching position.
  • the third parameter data may also be displayed in at least one of the first window 50a, the second window, the sixth display area and the seventh display area, that is to say, the first parameter data, the third parameter Data, detailed information or access to the first target event, and the first abnormal event associated with the first moment may be displayed in the same window or display area.
  • the user can determine the first time by performing operations in any one of the second display area 10b, the third display area 10c, and the fifth display area 10e.
  • the user after determining the first time, , at least there is a linkage display relationship between the second display area 10b, the third display area 10c and the fifth display area 10e, allowing the user to quickly view various information associated with the first moment, greatly improving the user's work efficiency .
  • the second moment selected by the user can also be determined based on the second selection operation input by the user in the display interface, and then the first parameter data and the second parameter data are compared and displayed.
  • the second parameter data is the parameter data of the second type of clinical parameter associated with the second time.
  • the second parameter data is the parameter data of the second type of clinical parameter at the second time.
  • the second selection operation is an operation performed by the user in the second display area 10b, which may include but is not limited to the following situations:
  • the third display area 10c includes an area for the user to select points.
  • the user selects any point in the area, according to The corresponding position of the point on the first time axis 20a can determine the second moment; in other embodiments, when the trend chart of the second type of clinical parameter is a continuous trend chart, the user can determine the second moment on the trend chart.
  • any point can be selected, and the second moment can be determined based on the corresponding position of the point on the first time axis 20a; when the trend chart of the second type of clinical parameter is a discrete trend chart, the user can first select the trend chart a discrete point on the first time axis 20a, and then determine the second moment according to the position of the discrete point on the first time axis 20a.
  • the second display area 10b further includes a second reference cursor 40b movable along the first time axis 20a.
  • the second reference cursor 40b is moved or changed to the second time display corresponding to the point; for another example, the user can drag the second reference cursor 40b to determine the second time.
  • time for example, if the user drags the second reference cursor 40b to a certain position along the first time axis 20a and then enters a confirmation instruction, the second time can be determined based on the position of the second reference cursor 40b on the first time axis 20a. .
  • the second selection operation may also be an operation performed by the user in the third display area 10c. For example, if the user clicks on the first abnormal event in the third display area 10c, the time when the selected first abnormal event occurs is regarded as the second time.
  • the second selection operation may also be an operation performed by the user in the fifth display area 10e:
  • the fifth display area 10e includes an area for the user to select points.
  • the user selects any point in the area, the user selects a point based on the point.
  • the corresponding position on the second time axis 20b can determine the second moment; in other embodiments, when the trend chart of the examination data and/or condition data is a continuous trend chart, the user can Select any point, and the second moment can be determined based on the corresponding position of the point on the second time axis 20b; when the trend chart of the examination data and/or condition data is a discrete trend chart, the user can first select the trend discrete points on the graph, and then determine the second moment based on the position of the discrete points on the second time axis 20b.
  • the second selection operation may also be an operation performed in other areas of the user display interface.
  • comparison and display of the first parameter data and the second parameter data include any of the following methods:
  • the first parameter data and the second parameter data are compared and displayed in the second display area 10b.
  • the first parameter data is displayed near the position corresponding to the first parameter data on the trend graph of the second type of clinical parameter
  • the third parameter data is displayed near the position corresponding to the second parameter data on the trend graph of the second type clinical parameter.
  • the second parameter data is used to compare and display the first parameter data and the second parameter data.
  • the second display area 10b further includes a second reference cursor 40b movable along the first time axis 20a. For example, based on the above description, after the user clicks on any point and moves or changes the second reference cursor 40b to the second time display corresponding to the point, a third window 50c can also be created near the second reference cursor 40b.
  • a fourth window 50d and a fifth window 50e display the first parameter data in the fourth window 50d, and display the second parameter data in the fifth window 50e.
  • a fourth window 50d can be created near the first reference cursor 40a, which is equivalent to placing the fourth window 50d.
  • a connection is established between the window 50d and the first reference cursor 40a indicating the first moment, so that the user can more intuitively feel the relationship between the first reference data and the first moment.
  • a fifth window 50e can be created near the second reference cursor 40b, which is equivalent to establishing a connection between the fifth window 50e and the second reference cursor 40b indicating the second time. , allowing the user to more intuitively feel the relationship between the second reference data and the second moment.
  • comparing and displaying the first parameter data and the second parameter data may include, but is not limited to, at least one of changes in data before and after, highlighting of key data, highlighting of data exceeding thresholds/preset conditions, etc.
  • the information displayed by these three types of comparisons can be distinguished by at least one of font color, font size, and background color.
  • the change of the font color of the previous and subsequent data is used as an example: for example, the first parameter data uses green fonts, and the second parameter data uses red fonts; another example is that the same data in the first parameter data and the second parameter data uses the same color font.
  • the data with growth is in red font
  • the data with decrease is in green font
  • the data in the first parameter data and the second parameter data are in the same color font
  • the data with growth is increased by the first mark
  • the data with decrease is Add a second mark, for example, the first mark is an upward arrow, and the second mark is a downward arrow.
  • the optional arrow colors of the first mark and the second mark can also be distinguished, and there is no limit here.
  • changes in data before and after can also be calculated according to preset rules for calculable data, such as subtraction operations, and the obtained values are highlighted.
  • the highlighting here is done through font color, font size, background color, etc. At least one of them serves as a distinction.
  • the window can be a newly created window in the display screen, which may block the original display interface (such as Blocking part of the original display area); the display area is the area in the display screen used to display information, which can be understood as the area in the display screen that can be divided/has been divided.
  • the display interface of this application has the following characteristics:
  • the overall assessment of a patient's physiological system or organ can be visually presented through different content, and each content can be visually presented through different dimensional indicators, and these assessment dimensions and parameter ranges can be customized. Visually, users can intuitively understand the normal and abnormal status of a certain physiological system or organ through eye-catching expressions.
  • the user can quickly locate key information from the complicated data, reduce the time the user spends searching for key data, and release more energy. In clinical treatment activities such as data analysis and interpretation, it can better focus on patients.
  • the content displayed in each display area in the display interface has a linkage relationship, which helps users compare different types of information associated with the same moment, or compare with The same type of information associated at different times.
  • the program can be stored in a computer-readable storage medium.
  • the storage medium can include: read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc., through The computer executes this program to achieve the above functions.
  • the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the above functions can be realized.
  • the program can also be stored in a storage medium such as a server, another computer, a magnetic disk, an optical disk, a flash disk or a mobile hard disk, and can be downloaded or copied to save it. into the memory of the local device, or performs a version update on the system of the local device.
  • a storage medium such as a server, another computer, a magnetic disk, an optical disk, a flash disk or a mobile hard disk, and can be downloaded or copied to save it. into the memory of the local device, or performs a version update on the system of the local device.

Abstract

本申请提供了一种医疗设备以及显示处理方法，该方法包括获取根据目标生理结构从多个临床参数中筛选出多类临床参数，不同类临床参数是基于不同的相关性划分的；基于多类临床参数的参数数据，向用户提供目标生理结构的显示界面，显示界面包括第三显示区、第四显示区和第五显示区中的至少一个以及第一显示区和第二显示区，第一显示区用于显示概览信息，第二显示区用于显示第二类临床参数的历史趋势，第三显示区用于显示第一异常事件，第四显示区用于显示分布统计结果，第五显示区用于显示诊疗信息。通过上述方法能够减少用户搜索查找关键数据的时间，释放更多精力在数据分析解读等临床治疗活动上，从而更好地聚焦患者。

Description

一种医疗设备及其显示处理方法 技术领域
本发明涉及医疗技术领域，具体涉及一种医疗设备，以及涉及一种医疗设备的显示处理方法。
 背景技术
在医疗领域随着临床监测技术的发展和诊疗手段的完善，临床上对于体现患者状态和病症的数据也越来越多。但是越来越丰富的临床参数的参数数据也为医护人员带来新的挑战：医护人员需要从不同设备、系统中搜索汇总数据来完整地评估患者的病情（如整合监护仪、呼吸机、生化检验系统结果、医院影像结果……）；从海量数据中查找对临床分析治疗有用的关键数据（如从患者过去24小时的监测数据中找出异常数据，从过去一周时间里找到能够体现患者病情变化的关键指标……）无论是汇总多渠道的大量临床数据，还是从海量数据中搜索临床诊疗的线索，都耗费了临床医护人员工作时大量的时间精力，降低了诊疗效率。
 技术问题
本申请要解决的技术问题为：提供一种能够让用户从纷繁的数据中迅速定位关键信息的医疗设备及其显示处理方法。
 技术解决方案
根据第一方面，一种实施例中提供了一种医疗设备的显示处理方法，包括：
根据目标生理结构从多个临床参数中筛选出多类临床参数，不同类临床参数是基于不同的相关性划分的；
基于所述多类临床参数的参数数据，向用户提供所述目标生理结构的显示界面，所述显示界面包括第三显示区、第四显示区和第五显示区中的至少一个以及第一显示区和第二显示区；其中，
所述第一显示区用于显示所述目标生理结构的概览信息，所述概览信息基于第一类临床参数的参数数据生成，所述概览信息至少包括患者的重要生理参数的参数数据的统计信息；
所述第二显示区用于显示第二类临床参数的历史趋势；
所述第三显示区用于显示所述目标生理结构发生的第一异常事件，所述第一异常事件根据第三类临床参数的参数数据确定；
所述第四显示区用于显示第四类临床参数的参数数据在至少两个参数区间的分布统计结果，所述分布统计结果用于表征所述第四类临床参数对预设目标的达成情况；
所述第五显示区用于显示与所述目标生理结构相关的诊疗信息，所述诊疗信息基于第五类临床参数的参数数据确定。
根据第二方面，一种实施例中提供了一种医疗设备，包括：
存储器，用于存储程序；
处理器，用于通过执行所述存储器存储的程序以实现上述的方法。
根据第三方面,一种实施例中提供了一种计算机可读存储介质, 所述介质上存储有程序，所述程序能够被处理器执行以实现上述方法。
 有益效果
依据上述实施例的医疗设备及其显示处理方法，先从海量的临床参数中根据目标生理结构筛选出多类临床参数，基于多类临床参数的参数数据，向用户提供目标生理结构的显示界面，显示界面包括第三显示区、第四显示区和第五显示区中的至少一个以及第一显示区和第二显示区，其中，第一显示区用于显示目标生理结构的概览信息，第二显示区用于显示第二类临床参数的历史趋势，第三显示区用于显示目标生理结构发生的第一异常事件，第四显示区用于显示第四类临床参数的参数数据在至少两个参数区间的分布统计结果，第五显示区用于显示与目标生理结构相关的诊疗信息。通过将这些内容以结构化的方式整合到显示界面，能够让用户从纷繁的数据中迅速定位关键信息，减少用户搜索查找关键数据的时间，释放更多精力在数据分析解读等临床治疗活动上，从而更好地聚焦患者。
 附图说明
图1为一种实施例的医疗设备的结构框图；
图2a为一种实施例的循环系统的显示界面；
图2b为一种实施例的呼吸系统的显示界面；
图2c为一种实施例的心脏的显示界面；
图2d为一种实施例的神经系统的显示界面；
图3a为一种实施例的第二显示区的示意图；
图3b为另一种实施例的第二显示区的示意图；
图3c为一种实施例的第二显示区内创建有第一窗口的示意图；
图3d为一种实施例的第二显示区内创建有第三窗口的示意图；
图4为一种实施例的第三显示区的示意图；
图5a为一种实施例的第四显示区的示意图；
图5b为另一种实施例的第四显示区的示意图；
图6a为一种实施例中的第二显示区和第五显示区的示意图；
图6b为一种实施例的第二显示区内创建有第四窗口和第五窗口的示意图；
图7为一种实施例的显示处理方法的流程图。
 本发明的实施方式
下面通过具体实施方式结合附图对本发明作进一步详细说明。其中不同实施方式中类似元件采用了相关联的类似的元件标号。在以下的实施方式中，很多细节描述是为了使得本申请能被更好的理解。然而，本领域技术人员可以毫不费力的认识到，其中部分特征在不同情况下是可以省略的，或者可以由其他元件、材料、方法所替代。在某些情况下，本申请相关的一些操作并没有在说明书中显示或者描述，这是为了避免本申请的核心部分被过多的描述所淹没，而对于本领域技术人员而言，详细描述这些相关操作并不是必要的，他们根据说明书中的描述以及本领域的一般技术知识即可完整了解相关操作。
另外，说明书中所描述的特点、操作或者特征可以以任意适当的方式结合形成各种实施方式。同时，方法描述中的各步骤或者动作也可以按照本领域技术人员所能显而易见的方式进行顺序调换或调整。因此，说明书和附图中的各种顺序只是为了清楚描述某一个实施例，并不意味着是必须的顺序，除非另有说明其中某个顺序是必须遵循的。
本文中为部件所编序号本身，例如“第一”、“第二”等，仅用于区分所描述的对象，不具有任何顺序或技术含义。而本申请所说“连接”、“联接”，如无特别说明，均包括直接和间接连接（联接）。
本申请所称的医疗设备，包括但不限于中央站、监护仪等设备。在本申请的其中一个实施例中，图1给出了一种实施方式的中央站100的相关的硬件和/或软件架构。
中央站100包括处理器110(可以由一个或多个处理器和/或控制器构成）、存储器120(该存储器120可以包括一个或多个计算机可读存储介质）、I/O子系统130、显示系统140、外设接口150以及其他输入设备。
显示系统140可以包括至少一个显示屏。在一些实施例中，显示屏为非触摸式的，用户可以通过接入外设接口150的外设完成指令的输入。外设包括但不限于鼠标、键盘、手势识别设备等装置。
在一些实施例，显示屏可以包括层叠设置的触摸层和显示层，该触摸层提供中央站100与用户之间的输入/输出接口；该触摸层可以包括电阻屏、表面声波屏、红外触摸屏、光学触摸屏、电容屏或者纳米膜等组成，其为可接收触头等输入信号的感应式显示装置。视觉输出任选地包括图形、文本、图表、视频以及它们的组合。某些或所有视觉输出可与用户接口对象相对应。
显示屏还可以基于触觉和/或接触来接收用户的输入。该显示屏的触摸层形成一个接收用户输入的触摸敏感表面。该触摸层和显示控制器检测触摸层上的接触（以及触摸的任何移动或中断），并且将检测到接触转换成与显示在触摸层上的诸如一个或多个软按键之类的用户界面对象的交互。在一个示例性实施例中，触摸层与用户之间的接触点对应于用户的一个或多个手指。该触摸层可以使用LCD（液晶显示器）技术或LPD（发光聚合物显示屏）技术，但在其他实施例中可以使用其他显示技术。触摸层与显示控制器可以使用多种触敏技术中的任何一种来检测接触及其移动或中断，这些触敏技术包括但不限于电容、电阻、红外和声表面波技术，以及其他接近传感器阵列，或用于确定与触摸层相接触的一个或多个点的其他技术。
在一些实施例，上述的显示系统140包括两个以上的显示屏。
当然，中央站100还可以包括通讯模块160、音频处理器170、扬声器180、电源系统190(包括DC/DC转换电路和/或AC/DC转换电路）。
存储器120可以包括高速随机访问存储器，并且还可以包括非易失性存储器，譬如，一个或多个磁盘存储设备、闪速存储设备、或其它非易失性固态存储设备。在一些实施例中，存储器120还可以包括远离一个或多个处理器110的存储器120，例如经由通讯模块160以及通信网络（未示出）访问的网络附加存储器，其中通信网络可以是因特网、一个或多个内部网、局域网（LAN)和广域网（WAN)和存储局域网（SAN)等，或其适当的组合。
外设接口150将中央站100的输入和输出外设与处理器110进行耦合。处理器110运行或执行存储在存储器120中的各种软件程序和/或指令集，以便执行设备的各种功能和应用以及处理数据。
在本发明的多个实施例中，外设接口150、处理器110（CPU)和存储器120可以在诸如同一单一芯片上实现。在一些实施例中，它们也可以在多个分立的芯片上实现。处理器110连同外设接口150、存储器120或者其中的一部分组成处理单元。
通讯模块160用于接收通讯信号并将其转化为电信号、和将电信号转化为通讯信号进行发送。通讯模块160可以采用公知技术中的任意一种方式来实现，主要使中央站100可以与外部网络或外部其他设备进行通讯。例如，通讯模块160可以接入万维网(WWW)的因特网、内联网和/或诸如蜂窝式电话网络、局域网(LAN)和/或城域网(MAN)的无线和/或有线网络以及其它设备通信。通讯模块160可以使用多种通信标准、协议和技术的任何一种，包括但不局限于利用有线或无线媒介进行，包括基于蓝牙、以太网、802.11(x)标准、体域网或其他无线协议。
音频处理器170可以从外设接口150接收音频数据，将音频数据转换成电信号，并且将电信号发送到扬声器180。扬声器180将电信号转换成人听得见的声波。
I/O子系统130将显示系统140和其他输入设备与外设接口150耦合。I/O子系统130可以包括显示控制器和用于控制其他输入设备的一个或多个其他输入控制器。一个或多个其他输入控制器向其他输入设备接收/发送电信号。其他输入设备可以包括实际按钮及类同设备等。
中央站100还包括对各种元件或模块或电路提供电力输入的电源系统190，其包括电力管理系统、一个或多个电源(例如，电池、交流电(AC))、充电系统、电力故障检测电路、电力转换器或反相器、电力状态指示器(例如，发光二极管(LED))、以及与中央站100中的电力的生成、管理和分配有关的任何其它部件。根据电源的不同其可以包含DC/DC转换电路，或者包含AC/DC转换电路。
上述图1仅仅是指提供了一种中央站100的结构框图，当然，上述中央站100还可以具有比图1中更多或者更少的元件或模块，也还可以组合使用上述两个或两个以上的元件或模块，或者还可以对图1中的架构进行不同配置的安排。如图1所示的各种元件或模块可以以硬件、软件或硬件和软件两者结合的形式来实现，包括一个或多个信号处理和/或专用集成电路。
基于上述医疗设备，如图7所示，本申请的一种实施例中提供了一种显示处理方法，包括:
步骤A100、根据目标生理结构从多个临床参数中筛选出多类临床参数。不同类临床参数是基于不同的相关性划分的。
多个临床参数覆盖患者的方方面面，一些实施例中，临床参数的参数数据包括但不限于患者的监测数据、检查数据以及病情数据中的至少一种。其中，监测数据包括但不限于生命体征数据以及呼吸机、输液泵等设备的设备数据；检查数据包括但不限于DR影像数据、CT影像数据、MRI影像数据、PET影像数据、超声影像数据、量表数据、体格测验数据中的至少一种，此外，检查数据还包括但不限于各类实验室或生化分析装置得到的数据，例如，可以包括血常规检验数据、肝功能检验数据、肾功能检验数据、甲状腺检验数据、尿液检验数据、免疫检验数据、凝血检验数据、血气检验数据、便常规检验数据及肿瘤物检验数据中的至少一种;病情数据包括疾病诊断数据、治疗数据、护理数据以及电子病历数据中的至少一种。上述获取参数数据可以通过医疗设备自身的传感器等采集获取，也可以通过第三方设备、应用软件等得到，还可以通过用户的输入得到，例如用户可以手动输入临床评估参数。
一些实施例中，目标生理结构为患者的生理系统、生理器官、生理部位、组织、生理系统的特征或生理器官的特征，其中，生理系统包括运动系统、神经系统、内分泌系统、循环系统、呼吸系统、消化系统、泌尿系统以及生殖系统中的至少一个，生理器官包括大脑、心脏、肺、肝脏、胃以及肾脏中的至少一个，生理部位包括头部、胸部和腹部中的至少一个，组织包括肌肉组织、神经组织和上皮组织中至少一个，生理系统的特征或生理器官的特征则包括凝血、营养、感染或血糖。下面举例说明各生理结构相关的临床参数。
呼吸系统相关的临床参数包括但不限于氧合指数（PaO2/FiO2）、血氧饱和度（SpO2）、呼吸率（RR）、吸入氧浓度（FiO2）、呼末二氧化碳、血气分析参数和/或呼吸机参数，其中，血气分析参数包括乳酸（Lac）、动脉氧分压（PaO2）、动脉二氧化碳分压（PaCO2）等；呼吸机参数包括潮气量（Tv），呼气终末正压（PEEP），以及当前患者给氧的模式，例如，采用SIMV通气模式，采用插管还是面罩等方式给氧等。
循环系统相关的临床参数包括但不限于休克指数、血压、心排量、乳酸（Lac）、与血流动力学及灌注情况相关的实验室指标和血流动力学参数。其中，血压可以是有创血压、也可以是无创血压，实验室指标包括但不限于血红蛋白（Hb或HGB）、红细胞计数（RBC）、酸碱度（pH）、HCO3、碱剩余（BE）；血流动力学参数包括但不限于中心静脉压CVP、外周血管阻力指数SVRI、肺水指数ELWI、中心静脉血氧饱和度ScvO2。
神经系统相关的临床参数包括但不限于意识评分、脑部血压、血氧指标以及神经系统相关的临床评估结果。其中，临床上常用意识评分为GCS评分（格拉斯哥昏迷评分），但是也允许用户自行定义意识评分规则，神经系统相关的临床评估结果包括但不限于瞳孔大小的评估、瞳孔光反射评估、四肢肌力评估等。
心脏相关的临床参数包括心脏相关风险评估结果、心率以及心脏相关的生化指标。其中，心脏相关风险评估结果可以例如是TIMI（心肌梗塞溶栓治疗）评分，如果医疗对象进行了GRACE（全球急性冠脉综合征注册）评估，心脏相关风险评估结果还可以包括GRACE评分。心脏相关的生化指标可以例如是肌酸激酶同工酶（CK-MB），肌钙蛋白（cTn），利钠钛（NT-proBNP）等。
肝脏相关的临床参数包括但不限于肝脏功能评估指标。默认提供的肝脏功能评估指标包括丙氨酸转氨酶（ALT）、γ-谷氨酰基转（GGT）、总胆红素（Tbil）、直接胆红素（Dbil）、血氨（AMM）。
肾脏相关的临床参数包括但不限于肌酐指标以及液体出入量，其中，液体入量包括24小时总入量，以及24小时内输液泵泵入人体的液体入量。进一步地，液体入量还可以包括饮食液体量等。液体出量包括24小时尿量，24小时引流液量，其他设备脱水液体量等。液体出量还可以包括出汗、排泄、呕吐、出血液体量等。
感染相关的临床参数包括与感染相关的生化指标参数、与感染相关的生命体征参数。其中，与感染相关的生化指标参数503包括但不限于白细胞计数（WBC）、C反应蛋白（CRP）、降钙素原（PCT）、白细胞介素-6（IL-6）、中性细胞比率（NEU%）；与感染相关的生命体征参数包括但不限于体温。
凝血相关的临床参数包括但不限于凝血风险评估结果、凝血指标和出血指标。其中，对于手术患者，可以采用Caprini量表进行凝血风险评估，对于非手术患者，可以采用Padua量表进行凝血风险评估，凝血指标1202包括以下至少一项：活化部分凝血活酶时间（APTT）、凝血酶时间（TT）、纤维蛋白原（Fib）、D-二聚体（D-dimer）、纤维蛋白降解产物（FDP）、抗凝血酶III（AT-III）。出血指标包括血小板（PLT）、潜血（OB）。
营养相关的临床参数包括但不限于能量代谢监测结果、微量元素提供量以及喂养方式，其中，能量代谢监测结果包括能量代谢值（EE）及其变化趋势，微量元素主要包括钙、铁、钾、钠、镁等，喂养方式主要包括肠外营养和肠内营养两大类。其中，肠外营养还可以细分为深静脉营养、浅表静脉营养两种；肠道营养还可以细分为鼻饲、胃管道等。目标生理结构可以为上述多个生理结构中选定的一个，一些实施例中，目标生理结构为默认的，例如，当医疗设备为呼吸机时，在呼吸机开机后可以将呼吸系统作为目标生理结构。在另一些实施例中，医疗设备可以向用户提供可选的生理结构，用户从可选的生理结构中确定目标生理结构，在该场景下，目标生理结构是可以进行切换的，例如，用户先选中了呼吸系统作为目标生理结构，然后又想查看关于循环系统的临床参数的参数数据，则可以将目标生理结构由呼吸系统切换为循环系统。
上述步骤中的相关性，指的是归于同一类的临床参数之间具有相关性。此处的相关应做广义的理解，例如，两个临床参数均能够反映目标生理结构的某种状态，则这两个临床参数具有相关性，又例如，两个临床参数配合可以查看出目标生理结构是否存在异常，则这两个临床参数也具有相关性。
一些实施例中，基于预设规则从多个临床参数中筛选出多类临床参数，预设规则可以是多样的，目的在于从海量的临床参数中从得到与目标生理结构相关或能够反应目标生理结构的状态的临床参数，凡是能够达到该目的的规则均为本实施例中所称的规则，示例性的，可以根据多个临床参数的来源设备、作用以及使用场景中的至少一个，筛选出与目标生理结构关联的多类临床参数。例如，与呼吸系统相关的多个临床参数分为由A设备获取的一类以及由B设备获取的另一类。
一些实施例中，基于用户的选择从多个临床参数中筛选出多类临床参数，在另一些实施例中，还可以基于预设的机器学习算法筛选出多类临床参数，例如，记录用户在选择了目标生理结构后经常使用的临床参数，则根据用户的选择对多个临床参数进行筛选。
可以理解的是，同一个临床参数可能划分至多类临床参数，例如，心率可以为A类的临床参数，也可以为B类的临床参数。
步骤A200、基于多类临床参数的参数数据，向用户提供目标生理结构的显示界面。
显示界面则包括第一显示区10a、第二显示区10b、第三显示区10c和第四显示区10d和第五显示区10e。在其他实施例中，显示界面可以包括第一显示区10a和第二显示区10b，以及第三显示区10c和第四显示区10d和第五显示区10e中的至少一个。图2a至图2d分别为目标生理结构为循环系统、呼吸系统、神经系统以及心脏的显示界面的示意图，这五个目标生理结构可以通过图2a至2d顶部的切换栏进行切换，此外，在本实施例中，每个显示区通过卡片的形式进行显示，例如，一个显示区可以包括一个或多个的卡片。
一些实施例中，第一显示区10a用于显示目标生理结构的概览信息，概览信息基于第一类临床参数的参数数据生成，一些实施例中，第一类临床参数包括与目标生理结构相关的所有生理参数，也就是说，概览信息是基于所有生理参数的参数数据生成的。概览信息包括但不限于患者的重要生理参数的参数数据的统计信息（一段时间的波动范围、累计数、最大值、最小值与均值中至少一类统计信息）、目标生理结构的异常统计（如参数数据超过正常范围的频率、次数、占比等，又如心律失常、乳酸含量异常等）、第一类临床参数的参数数据的异常值、基于第一类临床参数的参数数据生成的风险预测信息（如可能发生心衰等）和基于第一类临床参数的参数数据生成的诊疗建议（如建议超声检查、建议关注血压波动等）中的至少一个。由此可看出，第一显示区10a中能够以可视化的图形的形式表达目标生理结构中的核心参数或指标，帮助用户快速获取关键信息。
一些实施例中，显示界面通过各种方式表达出患者整体和/或目标生理结构的宏观状态，以辅助用户快速掌握患者整体和/或目标生理结构的整体情况，具体来说，可以在上述的一个或多个显示区中表达患者整体和/或目标生理结构的宏观状态，例如，可以在一个显示区中表达患者整体的宏观状态，在另一个显示区表达目标生理结构的宏观状态，或者，在同一个显示区内既表达患者整体的宏观状态，也表达目标生理结构的宏观状态。在下文的一些实施例中，以第一显示区10a用于表达患者整体和/或目标生理结构的宏观状态为例进行说明，例如，在上文中的概览信息中显示关于宏观状态的信息。
一些实施例中，当第一显示区10a表达患者整体的宏观状态时，若患者的各个生理结构都无异常，则第一显示区10a的背景或图标为绿色，当患者的出现异常的生理结构的数量超过预设阈值，或者某一生理结构的异常程度超过预设阈值，则第一显示区10a的背景或图标状态为红色。
一些实施例中，当第一显示区10a表达目标生理结构的宏观状态，有几种可能：当目标生理结构是患者的某一生理系统时，第一显示区10a可以表达该生理系统的宏观状态，当目标生理结构为患者的某一生理器官时，第一显示区10a可以表达该生理系统的宏观状态，当目标生理结构为患者的某一组织时，第一显示区10a可以表达患者的组织状态，当目标生理结构为患者的某一生理系统的特征或生理器官的特征时，第一显示区10a可以表达该特征的宏观状态。示例性的，当目标生理结构出现异常时，第一显示区10a的背景或图标状态为红色，以提示目标生理结构的宏观状态出现异常，目标生理结构整体正常时第一显示区10a的背景或图标为绿色。
一些实施例中，第一显示区10a用于显示患者状态的评估结果，以体现患者整体的宏观状态或目标生理结构的宏观状态，其中，患者状态可以包括患者整体和/或目标生理结构的状态，也就是说，患者状态包括患者整体、生理系统、生理器官、生理部位、组织、生理系统的特征和生理器官的特征中的一个或多个的临床上定义的状态，反映该部分的生理机能，例如循环系统的循环不稳、灌注不足等。
一些实施例中，患者状态的评估结果可以是患者未来状态的预测结果，也可以是患者当前状态的判断结果。例如，本申请附图或文字中 “循环不稳定”等患者状态可以是指患者当前循环不稳定，也可以是患者未来有可能发生循环不稳定的问题。患者未来状态的预测结果代表了患者状态的发展趋势，呈现患者未来状态的预测结果有助于医护人员提早干预，避免或减缓患者状态发生恶化。呈现患者当前状态的判断结果也有助于医护人员及时进行针对性治疗。
患者状态的评估结果在显示方式上可以是多样的，具体来说：
一些实施例中，可以通过文字、图形或两者的结合的形式显示患者状态的评估结果。当采用文字方式时，可以预先配置与患者状态相关的字符串，字符串包括表征患者整体或目标生理结构的字符串，以及表征具体状态的字符串，例如循环系统+可能休克/可能心衰/可能内出血、呼吸系统+可能呼吸抑制、神经系统+可能颅脑出血、泌尿系统+可能肾脏衰竭、免疫系统+可能严重感染等等。字符串可以有各种形式，只要能够体现患者状态即可，例如用于表征心衰的字符串可以是“循环系统可能心衰”、“患者可能心衰”、“患者有心衰风险”等。字符串可以由专家针对各患者状态预先设定，或者使用自然语言处理相关的方法适应当前具体的患者状态进行调整。示例性地，字符串也可以允许用户进行配置或修改。
当采用图形方式时，可以预先存储与每种患者状态相关的、能够形象地表示该患者状态的图形，并在确定患者状态后调用该图形进行显示。代表患者状态的图形可以与患者整体或目标生理结构相对应，并通过位于图形上的或在图形附近的符号信息、颜色信息以及文字信息中的至少一项，对图形进行标记来呈现患者状态。示例性的，在图2a至图2d中，通过状态图形60表示患者状态，具体来说，在图2a中，状态图形60模拟循环系统所包括的器官以形象地表示循环系统，当状态图形60为绿色时表示循环系统状态正常，当状态图形60为红色表示循环系统状态异常；在图2b中，状态图形60则包括肺叶的图形从而形象地表示呼吸系统，当状态图形60为绿色时表示呼吸系统状态正常，当状态图形60为红色表示呼吸系统状态异常，此外，在状态图形60的右侧还显示有字符“呼吸不稳定”以表示当前呼吸系统存在的异常；在图2c中，状态图形60包括一颗心脏的图形以形象地表示心脏，当状态图形60为绿色时表示心脏状态正常，当状态图形60为红色表示心脏状态异常；在图2d中，状态图形60包括一个脑部的图形以形象地表示神经系统，当状态图形60为绿色时表示神经系统状态正常，当状态图形60为红色表示神经系统状态异常。
一些实施例中，患者状态包括患者整体或目标生理结构的恶化状态，例如，目标生理结构当前是否正在发生恶化，或者未来是否可能发生恶化等。一些实施例中，患者状态还可以包括患者整体或目标生理结构的异常与否、异常级别、危重等级、护理等级等。例如，循环系统的状态可以包括循环异常或循环正常，循环异常可以进一步包括循环轻微异常或循环严重异常，示例性的，在图2a的第一显示区10a中，通过字符“循环状态有恶化的风险”来表示循环系统未来可能发生恶化。可选地，患者状态还可以包括与患者整体或目标生理结构相关的具体的疾病，例如急性呼吸窘迫综合征（ARDS）、呼吸衰竭、急性肾损伤（AKI）、脓毒症、心衰、脑损伤等。示例性地，患者状态还可以包括未知状态或疑似异常状态。
示例性的，可以根据临床上已有的、形成共识的特定评估规则对患者的状态进行评估，以得到患者状态的评估结果。例如，可以通过SOFA（序贯器官衰竭）评分、NEWS（英国早期预警）评分等评分规则获得患者的评分，将该评分作为评估结果；或者，可以根据通过临床调研等方式配置的特定评分规则对患者的状态进行评估，例如，当第一类临床参数的参数数据满足一条或多条预设规则时，判断患者具有与该预设规则对应的患者状态。或者，利用机器学习模型对患者的状态进行评估。还可以综合多种参数数据对患者状态进行评估，能够得到准确可信的患者状态评估结果。
一些实施例中，当患者状态包括患者整体的状态时，其评估结果可以是依据以下至少一项来判断：患者危重程度、患者病情类型、患者状态的稳定性、患者所位于的科室的类型、患者所位于的病房的位置、患者的病床号、患者的管床医生的角色、医护对患者所执行的临床操作、医护预先输入的与患者的级别判断相关的信息、患者的入院时间、患者所摄入的药物的类型或剂量、心肺状态分级评估结果、SOFA评分、NEWS评分或用户输入的评分等。
其中，SOFA评分的目的是描述多脏器功能障碍的发生、发展并评价发病率，涉及呼吸系统、血液系统、肝脏、心血管系统、中枢神经系统和肾脏六个评分指标，每个评分指标的分值区间为0-4分，分值的总和为总的SOFA评分，评分越高，预后越差。NEWS评分涉及呼吸频率、血氧饱和度、体温、收缩压、脉搏以及意识水平六个评分指标，每个评分指标的分值区间为0-3分，当患者并且需要吸氧时另计2分，将各项指标的评分之和为NEWS评分的总分。心肺状态分级评估结果是根据呼吸和循环两方面对心肺状态进行分级评估得到的评估结果，其中，呼吸不稳和循环不稳中有一个的严重程度为高级的评估结果为高级，呼吸不稳和循环不稳均不属于高级的评估结果为中级，呼吸和循环均未发现不稳的为低级，级别越高表示病情越严重。
此外，患者状态评估结果还可以是其他评估标准下的评估结果，也可以是用户凭主观手动设置的评分等。
一些实施例中，可以根据患者状态的评估结果将多个患者分为不同危重程度的多个患者级别，第一显示区10a中则显示用于表示级别的级别标识。危重程度较高的患者可以具有较高的优先级，但不限于此。在一些实施例中，针对不同的评估结果可以设置相同的级别，例如高级、中级和低级。在一些实施例中，级别的数目不限于三个，例如，患者的级别也可以只包括第一级别和第二级别，或者还可以在高级之上设置致命级别。可以仅根据患者状态评估结果进行分级，也可以综合患者状态评估结果与其他患者信息一同进行分级。
例如，当根据SOFA评分进行分级时，当分值大于或等于5分时划分为高级；或者分值大于或等于2，同时使用血管升压药，MAP（平均动脉压）≥65mmHg，且血清乳酸>2mmol时也划分为高级；当分值在2分-4分时划分为中级，当分值在0-1分时划分为低级。当根据NEWS评分进行分级时，当分值大于或等于7分时划分为高级，当分值在5分-6分之间，或者有单项指标得到3分时，划分为中级，当分值在0-4分之间时划分为低级。心肺状态分级评估结果本身即分为低级、中级和高级，可以直接采用其分级结果。对于用户手动输入的评分，其分级规则也可以由用户定义，或者采用上述评分规则中的多种来综合评定级别。
一些实施例中,当患者状态包括患者整体的状态时,当危重程度为高级时,级别标识为罗马数字“I”；当危重程度为中级时,级别标识为罗马数字“II”；当危重程度为低级时，级别标识为罗马数字“III”。
一些实施例中，当患者状态包括目标生理结构的状态时，可以通过图形来表示危重程度。示例性的，也可以通过上述状态图形60表示目标生理结构的危重程度。示例性的，在图2a中，目标生理结构为循环系统，状态图形60的颜色能够表示循环系统的危重程度，当状态图形60为绿色时，表示循环系统的危重程度为低级，当状态图形60为黄色时，表示循环系统的危重程度为中级当状态图形60为红色时，表示循环系统的危重程度为高级；在图2b中，目标生理结构为呼吸系统，状态图形60的颜色能够表示呼吸系统的危重程度，当状态图形60为绿色时，表示呼吸系统的危重程度为低级，当状态图形60为黄色时，表示呼吸系统的危重程度为中级，当状态图形60为红色时，表示呼吸系统的危重程度为高级；在图2c中，目标生理结构为心脏，状态图形60的颜色能够表示心脏的危重程度，当状态图形60为绿色时，表示心脏的危重程度为低级，当状态图形60为黄色时，表示心脏的危重程度为中级，当状态图形60为红色时，表示心脏的危重程度为高级；在图2d中，目标生理结构为神经系统，状态图形60的颜色能够表示神经系统的危重程度，当状态图形60为绿色时，表示神经系统的危重程度为低级，当状态图形60为黄色时，表示神经系统的危重程度为中级，当状态图形60为红色时，表示神经系统的危重程度为高级。
可以理解的，当患者状态包括患者整体的状态，也可以像图2a至图2b中的一样，通过图形来表示危重程度，例如，在任一显示区内显示一个人体的图形，通过改变该图形的显示方式区分不同的危重程度；而当患者状态包括目标生理结构的状态时，也可以不通过图形而是通过数字或评分的方式区分不同的危重程度。
一些实施例中，第一显示区10a内还可以通过柱状图、条形图、蛛网图等多种方式呈现一些第一类临床参数的参数数据的具体参数范围。
下面结合图2a至图2b说明第一显示区10a。
图2a为循环系统对应的显示界面。在第一显示区10a中，由上至下首先通过曲线图的形式表示一段时间内循环系统中的参数变化，从中也可以看出循环系统中参数数据的异常值。此外，在循环小结中：心率、血压等数值统计是在循环系统中重要生理参数的参数数据的统计信息；休克指数和循环状态的描述是在循环系统的异常统计；在休克指数的描述中“一段时间休克或重度休克可能”，以及循环状态的描述中“循环有恶化的风险”则是循环系统的风险预测信息。在循环灌注的卡片中，还根据相应的规则计算出SI值，根据GCS评分规则，计算GCS分值等。
图2b为呼吸系统对应的显示界面。在第一显示区10a中，在肺部图形的右侧显示有呼吸系统中重要生理参数的参数数据的统计信息，在呼吸小结中，“考虑调整通气支持模式或参数”则是呼吸系统中的诊疗建议；“存在压力上述风险”则是呼吸系统中的风险预测信息。
第二显示区10b用于显示第二类临床参数的历史趋势。通过该历史趋势能够至少追溯患者过去生命体征及治疗情况。
一些实施例中，可以在第二显示区10b内直接显示第二类临床参数在某些历史时刻的参数数据或者统计值，来体现第二类临床参数的历史趋势。
一些实施例中，第二类临床参数的历史趋势包括第二类临床参数的多个趋势图，多个趋势图共用同一时间轴。
可选的，多个趋势图可以不划分组，或者，多个趋势图被划分至至少两个趋势组内，每一趋势组中包括至少一个第二类临床参数的趋势图；每一趋势组具有对应显示的趋势组标识以及用于折叠和显示该趋势组中趋势图的切换显示控件，当趋势组中的趋势图处于显示状态时，若检测到用户对于切换显示控件输入的开启折叠操作，则折叠该趋势组中的趋势图；当趋势组中的趋势图处于折叠状态时，若检测到用户对于切换显示控件输入的开启显示操作时，则显示该趋势组中被折叠的趋势图。也就是说，每个趋势组内的趋势图都是可以折叠和展开的。这样的好处在于，通过趋势组的概念，把临床上强相关的临床参数集中呈现，方便用户对多组临床参数的参数数据进行比较分析。以循环系统的显示界面的第二显示区10b为例，如图3a与图3b所示，其包括体征趋势组、出入量组、血管活性药组以及镇静药组这几个趋势组,其中，“体征趋势”、“出入量”、“血管活性药”以及“镇静药”这几个趋势组的趋势组标识，趋势组标识左侧的下三角形为切换显示控件，每个趋势组都可以通过展开或收起以适应更多的临床诊疗场景，例如在图3b中血管活性药组以及镇静药组被折叠，又例如当用户需要查看血管活性药对于血压的影响时，可以通过折叠“出入量”趋势组而使生命体征参数组与血管活性药趋势组在一起呈现，帮助用户更灵活地进行数据比较。
可以理解的是，第二类临床参数的趋势图和参数数据可以同时显示，例如，第二显示区10b在显示第二类临床参数的趋势图的同时，还可以显示第二类临床参数的历史时刻的参数数据和/或实时的参数数据。
第三显示区10c用于显示目标生理结构发生的第一异常事件，第一异常事件根据第三类临床参数的参数数据确定。第三显示区10c的第一异常事件包括但不限于临床参数异常的报警、用户自定义关注的异常事件，来源于生命体征监测或实验室或影像系统的危急值事件、以及治疗、支持、监测设备的报警事件。用户通过点击该第一异常事件，可以联动查看发生第一异常事件时的患者生命体征波形及参数，了解事件全貌。例如，图4的循环系统的第三显示区10c中，在用户点击表示血氧发生异常的异常事件后，第三显示区10c后扩大并显示该血氧的趋势图。也可以通过在第三显示区10c内的操作扩展查看患者完整异常事件列表，满足用户不同维度的数据分析需求。
第四显示区10d用于显示第四类临床参数在至少两个参数区间的分布统计结果，分布统计结果用于表征第四类临床参数对预设目标的达成情况。例如图5a为循环系统的显示界面的第四显示区10d，从中可以看出，过去的20小时30分钟心率的参数区间有五个，其中，心率落在60到100这一参数区间的累计时长有60%。
一些实施例中，医护人员可以自定义具体需要在该目标生理结构下查看哪些临床参数的目标统计，自定义具体目标范围，以及该临床参数分段统计的详细规则。
一些实施例中，第四显示区10d也可以进行扩展，如图5b所示，可以显示第四类临床参数的趋势图，并且，当用户选中某一参数区间后，在对应的趋势图内可以显示该临床参数在哪些时段内落入到了该参数区间，也就是说，可以呈现更详细的目标统计分布情况以及与患者该临床参数趋势的关联，以及对应在不同时间段这些临床参数的分布。
第五显示区10e用于显示与目标生理结构相关的诊疗信息，诊疗信息基于第五类临床参数确定，其中，诊疗信息至少包括目标生理结构的检查数据和/或病情数据。一些实施例中，可以根据检查数据和/或病情数据生成相应的趋势图，在第五显示区10e中显示检查数据和/或病情数据的趋势图，也就是说，第五显示区10e也可以像第二显示区10b一样显示相应的趋势图，并且，第二显示区10b中的趋势图的时间轴和第五显示区10e内的时间轴可以相同，也可以不同。在本申请中，如图6a所示，将第二显示区10b中的时间轴定义为第一时间轴20a，将第五显示区10e内的时间轴定义为第二时间轴20b，则此时的第一时间轴20a和第二时间轴20b不同至少有以下几种情况：
第一、第一时间轴20a表示的时间段与第二时间轴20b所表示的时间段不同，又有以下几种可能：一些实施例中，第一时间轴20a表示的时间段与第二时间轴20b所表示的时间段没有交集，例如，第一时间轴20a表示过去24小时到过去12小时这一时间段，第二时间轴20b表示过去12小时到当前这一时间段；一些实施例中，第一时间轴20a表示的时间段与第二时间轴20b所表示的时间段存在交集，例如，第一时间轴20a表示过去24小时到过去8小时这一时间段，第二时间轴20b表示过去12小时到当前这一时间段；在另一些实施例中，第一时间轴20a表示的时间段与第二时间轴20b所表示的时间段中的一个包含另一个，例如，第一时间轴20a表示过去24小时到当前这一时间段，第二时间轴20b表示过去12小时到当前这一时间段。
第二、第一时间轴20a上单位刻度表示的时长与第二时间轴20b上单位刻度表示的时长不同，例如，第一时间轴20a上每一单位刻度表示的时长为1s，第二时间轴20b上每一单位刻度表示的时长为5s。
在一些实施例中，上述第一种情况和第二种情况可以同时发生，例如，第一时间轴20a表示过去12小时到当前这一时间段，第二时间轴20b表示过去24小时到当前这一时间段，第一时间轴20a上每一单位刻度表示的时长为1s，第二时间轴20b上每一单位刻度表示的时长为2s，则第一时间轴20a和第二时间轴20b的长度相同。
上述第一时间轴20a可以显示在第二显示区10b内，也可以隐藏不显示，与之类似的，上述第二时间轴20b可以显示在第五显示区10e内，也可以隐藏不显示。
一些实施例中，还可以在第五显示区10e内显示基于检查数据和/或病情数据得到的检查结果和/或病情结果，也就是说，医疗设备可以基于检查数据和/或病情数据进行分析，然后将经过分析得到的检查结果和/或病情结果显示在第五显示区10e内，从而节约用户分析所需的工作量。
一些实施例中，以图形化的方式显示检查数据和/或病情数据，或者，还可以通过目前已有的分析工具呈现，包括但不限于循环系统的血流动力学实时监测工具，呼吸系统中的人机对抗评估工具以及镇静镇痛评估工具，神经系统中的PRx工具等。
下面结合图2a至图2c说明第五显示区10e。
图2a的第五显示区10e中，由上至下的第一个卡片包括以数值形式显示的检查数据以及以图形的方式显示的检查数据或基于检查数据得到的检查结果 。“影像”的卡片包括超声图像的缩略图，如上述的，超声图像的缩略图也是一种检查数据，最底部的卡片包括多个趋势图，每个趋势图是由单点的检查数据形成的离散的趋势图。
图2b的第五显示区10e中，由上至下的第一个卡片包括人机对抗评估工具，第二个卡片包括镇静镇痛评估工具，第三个卡片包括超声图像的缩略图，第四个卡片包括检查数据的离散的趋势图。
图2c为心脏对应的显示界面。在第五显示区10e中，由上至下的第一个卡片通过柱状图显示ST值绝对值及变化量，第二个卡片包括超声图像的缩略图以及检查数据的离散的趋势图，第三个卡片也包括检查数据的离散的趋势图。
一些实施例中，基于用户在显示界面内输入的第一选中操作，确定用户选中的第一时刻，然后，以设定的方式显示第二类临床参数的与第一时刻关联的第一参数数据，例如，可以以设定的方式显示第二类临床参数在第一时刻的第一参数数据，或者，以设定的方式显示第二临床参数与第一时刻相距预设时长内的第一参数数据。
首先说明第一选中操作的一些具体方式，一些实施例中，第一选中操作是用户在第二显示区10b内执行的操作，可以包括但不限于以下几种情况：
当第二显示区10b中显示第二类临床参数的趋势图时，则一些实施例中，第三显示区10c中包括供用户选择点的区域，当用户选中该区域中的任意一点后，根据该点在第一时间轴20a上对应的位置，即可确定第一时刻；在另一些实施例中，当第二类临床参数的趋势图为连续的趋势图时，则用户在该趋势图上可以选中任意一点，根据该点在第一时间轴20a上对应的位置，即可确定第一时刻；当第二类临床参数的趋势图为离散的趋势图时，则用户可以首先选中该趋势图上的离散点，然后根据该离散点在第一时间轴20a上的位置确定第一时刻。
在另一些实施例中，如图3c所示，在第二显示区10b内还包括沿第一时间轴20a可移动的第一参考游标40a。例如，结合上述描述，在用户点击任意一点后，将第一参考游标40a移动至或者变更至该点对应的第一时刻显示；又如，用户可以通过拖动第一参考游标40a来确定第一时刻，例如，用户将第一参考游标40a沿第一时间轴20a拖动到某一位置后输入确认指令，则根据第一参考游标40a在第一时间轴20a上的位置即可确定第一时刻。
一些实施例中，第一选中操作还可以是用户在第三显示区10c内执行的操作。例如，用户点击第三显示区10c中的第一异常事件，则将该选中的第一异常事件发生的时刻作为第一时刻。
一些实施例中，第一选中操作还可以是用户在第五显示区10e内执行的操作：
当第五显示区10e中显示有检查数据和/或病情数据的趋势图时，第五显示区10e中包括供用户选择点的区域，当用户选中该区域中的任意一点后，根据该点在第二时间轴20b上对应的位置，即可确定第一时刻；在另一些实施例中，当检查数据和/或病情数据的趋势图为连续的趋势图时，则用户在该趋势图上可以选中任意一点，根据该点在第二时间轴20b上对应的位置，即可确定第一时刻；当检查数据和/或病情数据的趋势图为离散的趋势图时，则用户可以首先选中该趋势图上的离散点，然后根据该离散点在第二时间轴20b上的位置确定第一时刻。
其他实施例中，第一选中操作还可以是用户显示界面中的其他区域内执行的操作。
本申请中，以设定的方式显示第一参数数据，包括以下方式中的任意一种：
第一、在第二显示区10b内显示第一参数数据。示例性的，当第二显示区10b内包括第二类临床参数的趋势图时，则在第二类临床参数的趋势图上与第一参数数据对应的位置附近显示第一参数数据，以使得第一参数数据在更加醒目的位置。
第二、创建第一窗口50a，在第一窗口50a内显示第一参数数据，故用户可以在一个第一窗口50a内看到所有第二类临床参数的第一参数数据。一些实施例中，在第二显示区10b内还包括沿第一时间轴20a可移动的第一参考游标40a。例如，结合上述描述，在用户点击任意一点后，将第一参考游标40a移动至或者变更至该点对应的第一时刻显示。如图3c所示，可以在第一参考游标40a的附近创建第一窗口50a，这样相当于将第一窗口50a与指示第一时刻的第一参考游标40a之间建立了联系，使得用户更直观感受到第一参数数据和第一时刻之间的关系。
第三、在显示界面的第六显示区显示第一参数数据，第六显示区独立于第一显示区10a、第二显示区10b、第三显示区10c、第四显示区10d和第五显示区10e。也就是说，在显示界面的一个单独区域内显示第一参数数据。
一些实施例中, 第二显示区10b还用于显示与患者关联的至少一个事件的标记30。 此处的事件包括但不限于患者的第二异常事件、患者经历的检查事件、检验事件和治疗事件。
其中，第二异常事件包括但不限于临床参数异常的报警、用户自定义关注的异常事件，来源于生命体征监测或实验室或影像系统的危急值事件、以及治疗、支持、监测设备的报警事件。用户通过点击该第二异常事件，可以联动查看发生第二异常事件时的患者生命体征波形及参数，了解事件全貌。第一异常事件与第二异常事件可以至少部分相同，或者可以完全不同，本申请对此不做限定。
可选的，该第二显示区显示的至少一个事件可以显示为一个事件条，或者按照预设类型进行划分进而显示为多个事件条，例如多个事件条可以包括但不限于：该目标生理结构的第二异常事件归类为一个事件条；患者经历的检查事件、检验事件和治疗事件归类为另一个事件条；一段时间内除目标生理结构之外任意一个或者多个其他生理结构的第二异常事件归类为一个事件条。
可以理解的是，这些事件与时间也是相关的，例如，患者在A时刻的生理状态发生异常，则将A时刻定义为第二异常事件发生的时刻；又例如，B时刻对患者进行超声检查获得了超声影像数据，则B时刻患者经历了检查事件；再例如，C时刻对患者的血样进行血常规检查得到了血常规的检验结果，则C时刻患者经历了检验事件；又例如，D时刻对患者输注了治疗用的药物，则D时刻患者经历了治疗事件。一些实施例中，不同类型的事件的标记30的显示方式不同，例如，第二异常事件的标记30为红色，检查事件的标记30为蓝色。在其他实施例中，事件的标记30还可以是其他符号、字符等。
由上述描述可以看出，上述事件和时间也是相关的，故事件的标记30也可以根据时间的先后顺序进行排序，一些实施例中，如图3c所示，第二显示区10b当中事件的标记30可以沿第一时间轴20a进行分布，也就是说，不同类型的多个信息也共用同一时间轴。当事件的标记30具有多个时，事件的标记30可以沿第一时间轴20a形成事件条，一些实施例中，不同类型的事件的标记30形成不同的事件条，例如，第二异常事件的标记30形成一个与第一时间轴20a平行的事件条，检查事件的标记30形成另一个与第一时间轴20a平行的事件条。通过对事件的分类筛选，可以更好地帮用户聚焦在关注的事件上。
当第二显示区10b中显示有事件的标记30时，则在一些实施例中，用户可以通过选中任意一个标记30以确定第一时刻，例如，用户选中一个第二异常事件，则将该第二异常事件发生的时刻作为第一时刻。
当第二显示区10b中显示有事件的标记30时，在一些实施例中，除了以设定的方式显示第一参数数据外，还显示第一目标事件的详细信息或第一目标事件的访问入口，第一目标事件的访问入口用于响应用户的操作提供第一目标事件的详细信息，例如，用户通过点击访问入口可以使得显示界面跳转至显示第一目标事件的详细信息。其中，第一目标事件为至少一个事件中与第一时刻关联的事件，可选的，第一目标事件为患者在与第一时刻相距第一预设时长内发生的事件。示例性的，当第一目标事件为患者的第二异常事件时，第一目标事件的详细信息包括但不限于异常的原因、表现等；当第一目标事件为患者经历的检查事件时，第一目标事件的详细信息包括但不限于通过检测得到的数据资料、影像资料等；当第一目标事件为患者经历的检验事件时，第一目标事件的详细信息包括但不限于通过检验分析得到的数据资料等；当第一目标事件为患者经历的治疗事件时，第一目标事件的详细信息包括但不限于治疗的手段、治疗前后的生理参数等。
本申请中，显示第一目标事件的详细信息或第一目标事件的访问入口的方式包括以下中的任意一种：
第一、在第二显示区10b的空白区域显示第一目标事件的详细信息或访问入口。
当第二显示区10b中显示第二类临床参数的趋势图时，则在一些实施例中，在第二类临床参数的趋势图上与第一参数数据对应的位置附近显示有第一参数数据，第二显示区10b中的空白区域则显示有第一目标事件的详细信息或访问入口。
第二、还可以创建第二窗口，在第二窗口内显示第一参数数据以及显示第一目标事件的详细信息或第一目标事件的访问入口。一些实施例中，在第二显示区10b内还包括沿第一时间轴20a可移动的第一参考游标40a。例如，结合上述描述，在用户点击任意一点后，将第一参考游标40a移动至或者变更至该点对应的第一时刻显示，可以在第一参考游标40a的附近创建第二窗口，这样相当于将第二窗口与指示第一时刻的第一参考游标40a之间建立了联系，使得用户更直观感受到第一参考数据以及第一目标事件的详细信息或第一目标事件的访问入口和第一时刻之间的关系。一些实施例中，第一窗口50a与第二窗口相同。
第三、在显示界面的第七显示区内显示第一目标事件的详细信息或第一目标事件的访问入口，第七显示区独立于第一显示区10a、第二显示区10b、第三显示区10c、第四显示区10d和第五显示区10e。一些实施例中，第六显示区与第七显示区相同。
一些实施例中，当显示界面中包括第三显示区10c时，在确定了第一时刻后，还可以突出显示与第一时刻关联的第一异常事件，例如，突出显示第一时刻附近发生的第一异常事件。此外，一些实施例中，还可以在上述第一窗口50a、第二窗口、第六显示区和第七显示区中的至少一个中也显示与第一时刻关联的第一异常事件。
一些实施例中，当显示界面包括第五显示区10e时，在确定了第一时刻后，还可以以设定的方式显示与第一时刻关联的检查数据和/或病情数据（定义为第三参数数据），例如，可以直接在第五显示区10e内显示第三参数数据。示例性的，当第五显示区10e内包括检查数据和/或病情数据的趋势图时，则在检查数据和/或病情数据的趋势图上与第三参数数据对应的位置附近显示第三参数数据，以使得第三参数数据在更加醒目的位置。另一些实施例中，也可以在第一窗口50a、第二窗口、第六显示区和第七显示区中的至少一个中显示第三参数数据，也就是说，第一参数数据、第三参数数据、第一目标事件的详细信息或访问入口以及与第一时刻关联的第一异常事件可以显示在同一窗口或显示区内。
从上述描述可以看出，第二显示区10b、第三显示区10c和第五显示区10e之间具有联动的关系。一方面，用户通过在第二显示区10b、第三显示区10c和第五显示区10e中任意一个显示区内执行的操作都可以确定第一时刻，另一方面，在确定了第一时刻后，至少在第二显示区10b、第三显示区10c和第五显示区10e之间具有联动显示的关系，使得用户能够快速查看各种与第一时刻关联的信息，大大提高了用户的工作效率。
一些实施例中，在确定了第一时刻之后，还可以基于用户在显示界面内输入的第二选中操作，确定用户选中的第二时刻，然后比对显示第一参数数据和第二参数数据，其中，第二参数数据是第二类临床参数的与第二时刻关联的参数数据，例如，第二参数数据是第二类临床参数在第二时刻的参数数据。
首先说明第二选中操作的一些具体方式，一些实施例中，第二选中操作是用户在第二显示区10b内执行的操作，可以包括但不限于以下几种情况：
当第二显示区10b中显示第二类临床参数的趋势图时，则一些实施例中，第三显示区10c中包括供用户选择点的区域，当用户选中该区域中的任意一点后，根据该点在第一时间轴20a上对应的位置，即可确定第二时刻；在另一些实施例中，当第二类临床参数的趋势图为连续的趋势图时，则用户在该趋势图上可以选中任意一点，根据该点在第一时间轴20a上对应的位置，即可确定第二时刻；当第二类临床参数的趋势图为离散的趋势图时，则用户可以首先选中该趋势图上的离散点，然后根据该离散点在第一时间轴20a上的位置确定第二时刻。
在另一些实施例中，如图6b所示，在第二显示区10b内还包括沿第一时间轴20a可移动的第二参考游标40b。例如，结合上述描述，在用户点击任意一点后，将第二参考游标40b移动至或者变更至该点对应的第二时刻显示；又如，用户可以通过拖动第二参考游标40b来确定第二时刻，例如，用户将第二参考游标40b沿第一时间轴20a拖动到某一位置后输入确认指令，则根据第二参考游标40b在第一时间轴20a上的位置即可确定第二时刻。
一些实施例中，第二选中操作还可以是用户在第三显示区10c内执行的操作。例如，用户点击第三显示区10c中的第一异常事件，则将该选中的第一异常事件发生的时刻作为第二时刻。
一些实施例中，第二选中操作还可以是用户在第五显示区10e内执行的操作：
当第五显示区10e中显示有检查数据和/或病情数据的趋势图时，第五显示区10e中包括供用户选择点的区域，当用户选中该区域中的任意一点后，根据该点在第二时间轴20b上对应的位置，即可确定第二时刻；在另一些实施例中，当检查数据和/或病情数据的趋势图为连续的趋势图时，则用户在该趋势图上可以选中任意一点，根据该点在第二时间轴20b上对应的位置，即可确定第二时刻；当检查数据和/或病情数据的趋势图为离散的趋势图时，则用户可以首先选中该趋势图上的离散点，然后根据该离散点在第二时间轴20b上的位置确定第二时刻。
其他实施例中，第二选中操作还可以是用户显示界面中的其他区域内执行的操作。
本申请中，比对显示第一参数数据和第二参数数据，包括以下方式中的任意一种：
第一、在第二显示区10b内比对显示第一参数数据和第二参数数据。示例性的，在第二类临床参数的趋势图上与第一参数数据对应的位置附近显示第一参数数据，在第二类临床参数的趋势图上与第二参数数据对应的位置附近显示第二参数数据，以此来比对显示第一参数数据和第二参数数据。
第二、创建第三窗口50c，在第三窗口50c内比对显示第一参数数据和第二参数数据。例如，可以在第三窗口50c内并排显示第一参数数据和第二参数数据。一些实施例中，如图3d所示，在第二显示区10b内还包括沿第一时间轴20a可移动的第二参考游标40b。例如，结合上述描述，在用户点击任意一点后，将第二参考游标40b移动至或者变更至该点对应的第二时刻显示，则还可以在第二参考游标40b的附近创建第三窗口50c。
第三、创建第四窗口50d和第五窗口50e，在第四窗口50d内显示第一参数数据，在第五窗口50e内显示第二参数数据。如图6b所示，一些实施例中，当第二显示区10b内还包括上述的第一参考游标40a时，可以在第一参考游标40a的附近创建第四窗口50d，这样相当于将第四窗口50d与指示第一时刻的第一参考游标40a之间建立了联系，使得用户更直观感受到第一参考数据和第一时刻之间的关系，一些实施例中，当第二显示区10b内还包括上述的第二参考游标40b时，可以在第二参考游标40b的附近创建第五窗口50e，这样相当于将第五窗口50e与指示第二时刻的第二参考游标40b之间建立了联系，使得用户更直观感受到第二参考数据和第二时刻之间的关系。
可选的，比对显示第一参数数据与第二参数数据可以包括但不限于前后数据的变化、关键数据的突出显示、超过阈值/预设条件的数据的突出显示等中的至少一个。
一方面，这三类比对显示的信息可以通过字体颜色、字体大小、背景色中的至少一个作为区分。以前后数据的变化为字体颜色为例进行说明：例如第一参数数据用绿色字体、第二参数数据用红色字体；又如第一参数数据与第二参数数据中相同的数据用相同颜色的字体，有增长的数据用红色字体、有降低的数据用绿色字体；又如，第一参数数据与第二参数数据中数据用相同颜色的字体，有增长的数据增加第一记号、有降低的数据增加第二记号，比如，第一记号为向上的箭头、第二记号为向下的箭头，可选的第一记号与第二记号箭头颜色也可以做区分，这里不做限定。
另一方面，前后数据的变化还可以针对可计算的数据按照预先设置的规则进行计算，例如减法运算，将的得到的数值进行突出显示，这里的突出显示通过比如字体颜色、字体大小、背景色中的至少一个作为区分。
在上述本申请各个实施例中，涉及到不同的窗口与不同的显示区，这里对这两者进行解释，窗口可以为在显示屏内新创建的窗口，可能会遮挡原有的显示界面（例如遮挡原有显示区的部分内容）；显示区为显示屏中用于显示信息的区域，可以理解为显示屏中能够划分/已经划分出的区域。
综上，本申请的显示界面，具有以下特点：
①具有单系统或器官“整体状态评估”、“患者病情追溯”、“分析评估工具整合”的递进式信息结构框架及数据提炼整合的方式。
②能够通过不同内容，每个内容中可以通过不同维度指标可视化呈现患者某个生理系统或器官的整体评估情况，且这些评估维度及参数范围可自定义。在视觉上通过醒目的表达方式让用户直观了解到某个生理系统或器官的正常及异常状态。
③通过不同维度综合概括患者过去一段时间某系统或器官的异常，解读②中的整体评估情况，为临床提供诊疗依据。且用户可以根据病情或临床诊疗习惯对这些维度进行自定义。具体自定义维度至少包括下列中的一项：患者过去一段时间发生的异常事件、患者生命体征监测数据统计、该系统或器官数据分析总结以及临床诊疗建议等。
④对于患者病情追溯的趋势相关交互：临床用户可以通过时间的维度，定位诊疗事件、异常报警等方式追溯患者该系统相关核心临床指标的变化情况，并了解统计分析结果；在整个系统或器官页面，所有相关临床数据通过时间轴汇总，指标或事件都可以与生命体征趋势联动查看。
依据上述实施例的医疗设备及其显示处理方法，通过整合了多个维度信息的显示界面，能够让用户从纷繁的数据中迅速定位关键信息，减少用户搜索查找关键数据的时间，释放更多精力在数据分析解读等临床治疗活动上，从而更好地聚焦患者，并且，显示界面内各个显示区所显示的内容具有联动关系，有助于用户比较与同一时刻关联的不同类信息，或者比较与不同时刻关联的同一类信息。
本领域技术人员可以理解，上述实施方式中各种方法的全部或部分功能可以通过硬件的方式实现，也可以通过计算机程序的方式实现。当上述实施方式中全部或部分功能通过计算机程序的方式实现时，该程序可以存储于一计算机可读存储介质中，存储介质可以包括：只读存储器、随机存储器、磁盘、光盘、硬盘等，通过计算机执行该程序以实现上述功能。例如，将程序存储在设备的存储器中，当通过处理器执行存储器中程序，即可实现上述全部或部分功能。另外，当上述实施方式中全部或部分功能通过计算机程序的方式实现时，该程序也可以存储在服务器、另一计算机、磁盘、光盘、闪存盘或移动硬盘等存储介质中，通过下载或复制保存到本地设备的存储器中，或对本地设备的系统进行版本更新，当通过处理器执行存储器中的程序时，即可实现上述实施方式中全部或部分功能。
以上应用了具体个例对本发明进行阐述，只是用于帮助理解本发明，并不用以限制本发明。对于本领域的一般技术人员，依据本发明的思想，可以对上述具体实施方式进行变化。

Claims (24)

  1. 一种医疗设备的显示处理方法,其特征在于，包括：
    根据目标生理结构从多个临床参数中筛选出多类临床参数，不同类临床参数是基于不同的相关性划分的；
    基于所述多类临床参数的参数数据，向用户提供所述目标生理结构的显示界面，所述显示界面包括第三显示区、第四显示区和第五显示区中的至少一个以及第一显示区和第二显示区；其中，
    所述第一显示区用于显示所述目标生理结构的概览信息，所述概览信息基于第一类临床参数的参数数据生成，所述概览信息至少包括患者的重要生理参数的参数数据的统计信息；
    所述第二显示区用于显示第二类临床参数的历史趋势；
    所述第三显示区用于显示所述目标生理结构发生的第一异常事件，所述第一异常事件根据第三类临床参数的参数数据确定；
    所述第四显示区用于显示第四类临床参数的参数数据在至少两个参数区间的分布统计结果，所述分布统计结果用于表征所述第四类临床参数对预设目标的达成情况；
    所述第五显示区用于显示与所述目标生理结构相关的诊疗信息，所述诊疗信息基于第五类临床参数的参数数据确定。
  2.  如权利要求1所述的方法，其特征在于，所述概览信息还包括:所述目标生理结构的异常统计、所述第一类临床参数的参数数据的异常值、基于所述第一类临床参数的参数数据生成的风险预测信息和基于所述第一类临床参数的参数数据生成的诊疗建议中的至少一个。
  3.  如权利要求1所述的方法，其特征在于，所述方法还包括：
    基于用户在所述显示界面内输入的第一选中操作，确定用户选中的第一时刻；
    以设定的方式显示所述第二类临床参数的与所述第一时刻关联的第一参数数据。
  4.  如权利要求3所述的方法，其特征在于，所述以设定的方式显示所述第二类临床参数的与所述第一时刻关联的第一参数数据，包括：
    在所述第二显示区内显示所述第一参数数据；或者
    创建第一窗口，在所述第一窗口内显示所述第一参数数据；或者
    在所述显示界面的第六显示区显示第一参数数据，所述第六显示区独立于所述第一显示区和所述第二显示区。
  5.  如权利要求4所述的方法，其特征在于，所述第二类临床参数的历史趋势包括所述第二类临床参数的趋势图；
    所述方法还包括：
    显示沿所述趋势图的时间轴可移动的第一参考游标；
    所述创建第一窗口，包括：
    在所述第一参考游标的附近创建所述第一窗口。
  6.  如权利要求3所述的方法，其特征在于，所述第二显示区还用于显示与患者关联的至少一个事件的标记；所述至少一个事件包括所述患者的第二异常事件、患者经历的检查事件、检验事件和治疗事件中的至少一类；
    所述方法还包括：
    确定所述至少一个事件中与所述第一时刻关联的第一目标事件；
    显示所述第一目标事件的详细信息或所述第一目标事件的访问入口，所述第一目标事件的访问入口用于响应用户的操作提供所述第一目标事件的详细信息。
  7.  如权利要求6所述的方法，其特征在于，所述显示所述第一目标事件的详细信息或所述第一目标事件的访问入口，包括：
    在所述第二显示区内显示所述第一目标事件的详细信息或所述第一目标事件的访问入口；或者
    创建第二窗口，在所述第二窗口内显示所述第一参数数据以及显示所述第一目标事件的详细信息或所述第一目标事件的访问入口；或者
    在所述显示界面的第七显示区显示所述第一目标事件的详细信息或所述第一目标事件的访问入口，所述第七显示区独立于所述第一显示区和所述第二显示区。
  8.  如权利要求7所述的方法，其特征在于，所述第二类临床参数的历史趋势包括所述第二类临床参数的趋势图；
    所述方法还包括：
    显示沿所述趋势图的时间轴可移动的第一参考游标；
    所述创建第二窗口，包括：
    在所述第一参考游标的附近创建所述第二窗口。
  9.  如权利要求8所述的方法，其特征在于，所述至少一个事件的标记沿所述趋势图的时间轴分布。
  10.  如权利要求5或8所述的方法，其他特征在于，所述方法还包括：基于所述第一选中操作，将所述第一参考游标移动至所述趋势图的时间轴上与所述第一时刻对应的位置。
  11.  如权利要求1所述的方法，其特征在于，所述方法还包括：
    基于用户在所述显示界面内输入的第一选中操作，确定用户选中的第一时刻；
    确定所述第二类临床参数的与所述第一时刻关联的第一参数数据；
    基于用户在所述显示界面内输入的第二选中操作，确定用户选中的第二时刻；
    确定所述第二类临床参数的与所述第二时刻关联的第二参数数据；
    比对显示所述第一参数数据和所述第二参数数据。
  12.  如权利要求11所述的方法，其特征在于，所述比对显示所述第一参数数据和所述第二参数数据，包括：
    在所述第二显示区内比对显示所述第一参数数据和所述第二参数数据；或者；
    创建第三窗口，在所述第三窗口内比对显示所述第一参数数据和所述第二参数数据；或者
    创建第四窗口和第五窗口，在所述第四窗口内显示所述第一参数数据，在所述第五窗口内显示所述第二参数数据，或者
    在第八显示区内比对显示所述第一参数数据和所述第二参数数据，所述第八显示区独立于所述第一显示区和所述第二显示区。
  13.  如权利要求12所述的方法，其特征在于，所述第二类临床参数的历史趋势包括所述第二类临床参数的趋势图；
    所述方法还包括：
    显示沿所述趋势图的时间轴可移动的第一参考游标；
    显示沿所述趋势图的时间轴可移动的第二参考游标；
    所述创建第三窗口，包括：在所述第二参考游标的附近创建所述第三窗口；或者
    所述创建第四窗口，包括：在所述第一参考游标的附近创建所述第四窗口；或者
    所述创建第五窗口，包括：在所述第二参考游标的附近创建所述第五窗口。
  14.  如权利要求13所述的方法，其特征在于，所述方法还包括：
    基于所述第一选中操作，将所述第一参考游标移动至所述趋势图的时间轴上与所述第一时刻对应的位置；基于所述第二选中操作，将所述第二参考游标移动至所述趋势图的时间轴上与所述第二时刻对应的位置。
  15.  如权利要求3或10所述的方法，其特征在于，当所述显示界面显示有第三显示区或第五显示区时，所述方法还包括：
    以设定的方式显示与所述第一时刻关联的第一异常事件，和/或，以设定的方式显示与所述第一时刻关联的诊疗信息。
  16.  如权利要求1所述的方法，其特征在于，所述第二类临床参数的历史趋势包括所述第二类临床参数的多个趋势图；
    其中，多个所述趋势图被划分至至少两个趋势组内，每一所述趋势组中包括至少一个第二类临床参数的趋势图；每一所述趋势组具有对应显示的趋势组标识以及用于折叠和显示该趋势组中趋势图的切换显示控件；
    所述方法还包括：
    当所述趋势组中的趋势图处于显示状态时，若检测到用户对于所述切换显示控件输入的开启折叠操作，则折叠该趋势组中的趋势图；
    当所述趋势组中的趋势图处于折叠状态时，若检测到用户对于所述切换显示控件输入的开启显示操作时，则显示该趋势组中被折叠的趋势图。
  17.  如权利要求1所述的方法，其特征在于，所述诊疗信息至少包括所述目标生理结构的检查数据和/或病情数据。
  18.  如权利要求17所述的方法，其特征在于，所述显示与所述目标生理结构相关的诊疗信息，包括：
    根据检查数据和/或病情数据生成相应的趋势图，显示所述检查数据和/或病情数据的趋势图；
    或者；
    显示基于所述检查数据和/或病情数据得到的检查结果和/或病情结果；
    或者
    以图形化的方式显示所述检查数据和/或病情数据。
  19.  如权利要求1所述的方法，其特征在于，所述显示界面还用于显示患者状态的评估结果，以体现患者的宏观状态，所述患者状态包括患者整体的状态和/或目标生理结构的状态。
  20.  如权利要求19所述的方法，其特征在于，当患者状态包括患者整体的状态时，所述患者状态的评估结果依据以下至少一项来判断：患者危重程度、患者病情类型、患者状态的稳定性、患者所位于的科室的类型、患者所位于的病房的位置、患者的病床号、患者的管床医生的角色、医护对患者所执行的临床操作、医护预先输入的与患者的级别判断相关的信息、患者的入院时间、患者所摄入的药物的类型或剂量、心肺状态分级评估结果、SOFA评分、NEWS评分或用户输入的评分。
  21.  如权利要求1至20中任一项所述的方法，其特征在于，所述目标生理结构为患者的生理系统、生理器官、生理部位、组织、所述生理系统的特征或所述生理器官的特征。
  22.  如权利要求21所述的方法，其特征在于，所述生理系统包括运动系统、神经系统、内分泌系统、循环系统、呼吸系统、消化系统、泌尿系统以及生殖系统中的至少一个，所述生理器官包括大脑、心脏、肺、肝脏、胃以及肾脏中的至少一个，所述生理部位包括头部、胸部和腹部中的至少一个，所述组织包括肌肉组织、神经组织和上皮组织中至少一个，所述生理系统的特征或所述生理器官的特征包括凝血、营养、感染和血糖中的至少一个。
  23.  一种医疗设备，其特征在于，包括：
    存储器，用于存储程序；
    处理器，用于通过执行所述存储器存储的程序以实现如权利要求1-22中任一项所述的方法。
  24.  一种计算机可读存储介质，其特征在于，所述介质上存储有程序，所述程序能够被处理器执行以实现如权利要求1-22中任一项所述的方法。
PCT/CN2023/099219 2022-08-12 2023-06-08 一种医疗设备及其显示处理方法 WO2024032129A1 (zh)

Applications Claiming Priority (8)

Application Number Priority Date Filing Date Title
CN202210970377.4 2022-08-12
CN202210970385.9 2022-08-12
CN202210970385 2022-08-12
CN202210970377 2022-08-12
CN2022144266 2022-12-30
CNPCT/CN2022/144266 2022-12-30
CN2023093687 2023-05-11
CNPCT/CN2023/093687 2023-05-11

Publications (1)

Publication Number Publication Date
WO2024032129A1 true WO2024032129A1 (zh) 2024-02-15

Family

ID=89850567

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2023/099219 WO2024032129A1 (zh) 2022-08-12 2023-06-08 一种医疗设备及其显示处理方法

Country Status (1)

Country Link
WO (1) WO2024032129A1 (zh)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101288593A (zh) * 2007-03-20 2008-10-22 生命扫描有限公司 用于糖尿病管理的通讯媒介
JP2017000299A (ja) * 2015-06-08 2017-01-05 東芝メディカルシステムズ株式会社 医用画像処理装置
CN111687852A (zh) * 2020-06-07 2020-09-22 厦门波耐模型设计有限责任公司 医疗急救机器人装置、方法及系统
CN114680823A (zh) * 2020-12-25 2022-07-01 深圳迈瑞生物医疗电子股份有限公司 监护设备、医疗中央站系统及监测数据的回顾方法
CN114680842A (zh) * 2020-12-31 2022-07-01 深圳迈瑞生物医疗电子股份有限公司 一种监护设备和监护设备的生命体征数据概览方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101288593A (zh) * 2007-03-20 2008-10-22 生命扫描有限公司 用于糖尿病管理的通讯媒介
JP2017000299A (ja) * 2015-06-08 2017-01-05 東芝メディカルシステムズ株式会社 医用画像処理装置
CN111687852A (zh) * 2020-06-07 2020-09-22 厦门波耐模型设计有限责任公司 医疗急救机器人装置、方法及系统
CN114680823A (zh) * 2020-12-25 2022-07-01 深圳迈瑞生物医疗电子股份有限公司 监护设备、医疗中央站系统及监测数据的回顾方法
CN114680842A (zh) * 2020-12-31 2022-07-01 深圳迈瑞生物医疗电子股份有限公司 一种监护设备和监护设备的生命体征数据概览方法

Similar Documents

Publication Publication Date Title
JP5474937B2 (ja) 医療障害パターン検索エンジン
US9053222B2 (en) Patient safety processor
US11289199B2 (en) Wellness analysis system
Chen et al. Dynamic and personalized risk forecast in step-down units. Implications for monitoring paradigms
US20150227710A1 (en) Clinical support systems and methods
JP6072021B2 (ja) 評価システム及び評価方法
CN105792731A (zh) 患者护理监督系统和方法
US9953453B2 (en) System for converting biologic particle density data into dynamic images
US10354429B2 (en) Patient storm tracker and visualization processor
Hong et al. State of the art of machine learning–enabled clinical decision support in intensive care units: Literature review
US20140278478A1 (en) Systems and methods for analytics-based patient management
US20140180722A1 (en) Time Lapsable Motion Image Responsive to Features of Pathophysiologic Perturbations
EP2961312A1 (en) Patient storm tracker and visualization processor
Tsien TrendFinder: Automated detection of alarmable trends
CN105408905A (zh) 用于患者监测系统的临床规则和定义的计算机化与可视化
Stubbs et al. Sim• TwentyFive: an interactive visualization system for data-driven decision support
WO2024032129A1 (zh) 一种医疗设备及其显示处理方法
WO2024032130A1 (zh) 一种医疗设备及其显示处理方法、存储介质
Kamaleswaran et al. PhysioEx: visual analysis of physiological event streams
Fortier et al. Development of a mobile cardiac wellness application and integrated wearable sensor suite
CN114098638A (zh) 一种可解释的动态疾病严重程度预测方法
CN113782197A (zh) 基于可解释性机器学习算法的新冠肺炎患者转归预测方法
WO2021119593A1 (en) Control of a therapeutic delivery system
Shirwaikar et al. Design framework for a data mart in the neonatal intensive care unit
CN117594180A (zh) 显示医疗数据的方法和生命信息处理系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23851357

Country of ref document: EP

Kind code of ref document: A1