WO2020082341A1 - 医疗设备、用于医疗设备的多工作模式监护设置方法及装置 - Google Patents

医疗设备、用于医疗设备的多工作模式监护设置方法及装置 Download PDF

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Publication number
WO2020082341A1
WO2020082341A1 PCT/CN2018/112125 CN2018112125W WO2020082341A1 WO 2020082341 A1 WO2020082341 A1 WO 2020082341A1 CN 2018112125 W CN2018112125 W CN 2018112125W WO 2020082341 A1 WO2020082341 A1 WO 2020082341A1
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Prior art keywords
medical
working mode
workflow
mode
state
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Ceased
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PCT/CN2018/112125
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English (en)
French (fr)
Inventor
谈琳
张健慧
蒋霞
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Shenzhen Mindray Bio Medical Electronics Co Ltd
Shenzhen Mindray Scientific Co Ltd
Original Assignee
Shenzhen Mindray Bio Medical Electronics Co Ltd
Shenzhen Mindray Scientific Co Ltd
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Application filed by Shenzhen Mindray Bio Medical Electronics Co Ltd, Shenzhen Mindray Scientific Co Ltd filed Critical Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority to CN201880098994.1A priority Critical patent/CN113068400A/zh
Priority to PCT/CN2018/112125 priority patent/WO2020082341A1/zh
Publication of WO2020082341A1 publication Critical patent/WO2020082341A1/zh
Priority to US17/239,661 priority patent/US12433493B2/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/742—Details of notification to user or communication with user or patient; User input means using visual displays
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/04—Babies, e.g. for SIDS detection
    • A61B2503/045—Newborns, e.g. premature baby monitoring

Definitions

  • the present application relates to the technical field of medical equipment, in particular to a medical equipment, a method and device for setting multiple working modes of medical equipment.
  • this application provides a method for setting a multi-working mode of a medical device, including:
  • a preset working mode library determine a target working mode corresponding to the sign state; wherein the preset working mode library contains a plurality of working modes, and the working mode has a corresponding relationship with the sign state;
  • the present application provides a method for setting a multi-working mode of medical equipment, including:
  • a target working mode corresponding to the setting instruction is determined in a preset working mode library; wherein, the preset working mode library contains a plurality of working modes, and the working mode includes the display of a medical device Interface layout configuration information and / or medical device workflow configuration information;
  • the present application provides a method for setting a multi-working mode of medical equipment, including:
  • Reading medical parameter setting information of other medical devices connected to the device
  • the present application provides a method for setting a multi-working mode of medical equipment, including:
  • the device for collecting physiological sign parameters is connected to the medical equipment;
  • the target working mode includes display interface layout setting information of the medical device and / or workflow setting information of the medical device;
  • this application provides a medical device, including:
  • the memory stores multiple working modes in advance, wherein the working mode includes several workflows, tools associated with the workflows, and constraint relationships for workflow execution;
  • the processor if the working state of the medical device satisfies the switching condition, switches among the plurality of working modes, and when executing the switched working mode, executes sequentially according to the constraint conditions of the execution of each workflow in the workflow set.
  • this application provides a medical device, including:
  • Memory stores program instructions
  • a processor that executes program instructions to implement any of the steps of the method for setting a multi-working mode of a medical device.
  • the present application provides a readable storage medium on which a computer program is stored.
  • a computer program is loaded and executed by a processor, any one of the above multi-working mode setting methods for medical devices is implemented.
  • Figure 1-2 are two flow charts of the method for setting multiple working modes of medical equipment
  • FIGS. 3A-3B are flowcharts of two examples of specific application scenarios
  • Figure 4-6 is another three flow charts of the method for setting the multi-working mode of medical equipment
  • FIG. 7 is a schematic structural diagram of a monitor.
  • the patient's sign status is different in different clinical scenarios, and the care or treatment measures required by the patient are also different. Different clinical scenarios may be reflected in the different medical care measures required by different patients, or may be reflected in the adjustment of medical care measures received by the same patient as the clinical state changes.
  • Clinical medical staff need to use medical equipment to provide auxiliary work.
  • medical equipment may be equipped with multiple application modules. By combining different application modules according to the needs of different medical processes, they can be provided differently. Working mode of medical function.
  • medical equipment needs to provide different working modes in accordance with clinical needs to provide the best equipment use effect for the patient's treatment process.
  • Existing medical equipment completely depends on the manual operation of medical personnel, that is, medical personnel manually select the required modules from the application modules of the medical equipment according to actual needs, and set the order of execution of the selected modules, so as to combine the required working modes .
  • This manual setting method is more complicated for the operator and the setting efficiency is lower.
  • This application provides a method for setting multiple working modes of medical equipment. As shown in FIG. 1, the method may specifically include the following steps 1.1 to 1.4.
  • Step 1.1 Obtain medical data of the monitored object.
  • the monitoring object may be any object that has monitoring requirements in the actual application scenario.
  • the monitoring object is equipped with a wearable device, and the medical data related to the monitoring object is recorded in the device, so the medical data of the monitoring object can be read from the monitoring object's wearable device; specifically, for the information of a large number of patients
  • An electronic medical record system is set for management, and related information of these patients is recorded in the system, so the medical data of the monitoring object can be obtained from the electronic medical record system.
  • the patient information contained in the electronic medical record system may include personal information data such as population information, family medical history, personal medical history, etc., and may also include physiological data such as physiological sign monitoring data, biochemical examination data, and image data.
  • a specific application scenario is that some patients are equipped with a wearable device such as a wristband.
  • the wristband records some personal information data of the patient, such as age, gender, medical history, and illness.
  • the medical device can be directly from the wristband Read the medical data required by the patient.
  • the patient ’s identification such as social security number, hospitalization number, etc. is recorded on the wristband, the patient ’s identification can be read from the wristband, and the patient ’s detailed information can be read from the electronic medical record system through the identification Medical data.
  • a physiological sign parameter collection device may be used to collect the physiological sign parameters of the monitored object, and then identify the physiological data of the monitored object from the collected physiological sign parameter information.
  • a specific application scenario is to use a medical device accessory to collect the patient's body temperature, respiration rate, blood pressure, blood oxygen, and other physiological sign signals. From the collected physiological sign signals, various physiological data of the monitored object can be obtained.
  • the medical device can receive external input data, and a user such as a medical staff can input the medical data of the monitoring object to the medical device through the input device.
  • Medical equipment can display medical data in various forms, such as characters, sounds, and images.
  • the medical data may include one or more of the following items: personal information data, physiological data, nursing data, and treatment data.
  • personal information data may include one or more of the following items: personal information data, physiological data, nursing data, and treatment data.
  • physiological data may include one or more of the following items: physiological data, nursing data, and treatment data.
  • nursing data may include one or more of the following items: physiological data, nursing data, and treatment data.
  • treatment data may include one or more of the following items: personal information data, physiological data, nursing data, and treatment data.
  • other relevant data that can be used to achieve the purpose of the invention of the present application may also be included.
  • the personal information data refers to the basic information of the monitoring object, including but not limited to demographic information (such as age, gender, race, etc.), family medical history, personal medical history, etc .; physiological data refers to the physiological state data of the monitoring object, including but not Limited to physiological sign monitoring data, biochemical test data, image examination data, clinical observation data, etc. Nursing data refers to data related to clinical nursing operations performed on the monitored objects. Clinical nursing operations such as sputum suction, drug administration, body rubbing, feeding, etc. Nursing data may include the time of occurrence of clinical nursing operations and so on.
  • the treatment data refers to the data related to the treatment process of the monitored object, including but not limited to the following content, treatment drug information such as the name of the treatment drug, drug concentration and medication strategy, etc., treatment operation information such as mechanical ventilation of the ventilator, etc., Diagnostic test information such as passive leg lift test, etc., patient status assessment such as lung status assessment, cardiac bypass, emergency cardiopulmonary resuscitation, etc.
  • Step 1.2 According to the medical data of the monitoring object, determine the physical status of the monitoring object.
  • the medical data of the monitored object can reflect the physical status of the monitored object. After obtaining the medical data of the monitored object, the medical data is analyzed to determine the physical status of the monitored object.
  • the obtained medical data may include one item or multiple items.
  • a piece of medical data can be regarded as a type of medical data. After each medical data meets a predetermined trigger condition (the trigger condition is associated with the sign state), it can be determined that the monitored person's sign state specifically corresponds to the trigger condition Sign status.
  • the sign state determined by the item of medical data is the final sign state of the monitored object. If there is multiple medical data, then comprehensive evaluation of the multiple sign states according to the judgment rules in the medical field to determine the final sign state of the monitored object.
  • a specific implementation method is that the medical device can be configured with a sign state determination rule.
  • the determination rule can not only stipulate a sign state determination, which one or more items of medical data are needed for the sign state, but also the medical data After performing permutation and combination of the sign states of each, the final sign state corresponding to the result of each permutation and combination is specified.
  • the final sign state determined above may also be referred to as a target sign state.
  • the target sign state is also the sign state that needs to be determined in this step.
  • a specific application scenario is to obtain three physiological data of a certain monitoring object, including respiratory rate, blood pressure, and mental state, respectively.
  • breathing corresponds to three sign states: low breathing rate, normal breathing rate, and high breathing rate.
  • the three sign states correspond to their respective trigger conditions, and the monitoring conditions are determined according to which trigger condition the obtained breathing rate meets.
  • the sign state of the subject's respiration rate In the same way, blood pressure and mental state also correspond to their respective sign states. According to the trigger conditions reached by their respective physiological data, the corresponding sign states of blood pressure and mental state are determined respectively.
  • the sign state of the monitored object can be determined to be suspected sepsis.
  • the monitoring scene selected by the user for the monitoring object is obtained, wherein the monitoring scene is associated with one or more sign states; the current medical data of the monitoring object is obtained, and based on the medical data, a sign is determined from the sign states associated with the monitoring scene The sign status is taken as the current sign status of the monitoring object.
  • the medical device may provide several alternative monitoring scenarios, and users such as medical personnel may select monitoring scenarios corresponding to the monitoring requirements according to the current monitoring requirements of the monitoring object.
  • monitoring scenarios such as day surgery, night surgery, neonatal monitoring, health status assessment of patients during recovery, etc.
  • the monitoring scene is associated with the judgment rules of medical data. After selecting a monitoring scene, the judgment rules associated with the monitoring scene can be used to judge the medical data.
  • the sign status associated with the monitoring scene indicates the sign status that the monitoring object may appear in a monitoring scene.
  • the neonatal sign status may include: neonatal intensive care status, neonatal sub-intensive care status, and neonatal general monitoring status.
  • the monitoring object's sign status may include three types: surgical induction period, surgical maintenance period, and surgical recovery period. It should be noted that, according to the actual monitoring requirements, the associated sign status corresponding to the monitoring scene setting is set.
  • judgment rules associated with the monitoring scene will specify the type of medical data to be used when judging the state of the signs, so the corresponding types of medical data of the monitored object can be obtained according to the judgment rules associated with the monitoring scene .
  • Different sign states correspond to different trigger conditions. After obtaining the medical data of the monitoring object, and judging which trigger condition the medical data meets, the sign state of the monitoring object can be determined to be the corresponding sign state of the trigger condition.
  • Step 1.3 Determine the target working mode according to the sign status.
  • the medical equipment may be preset with a working mode library, and the preset working mode library contains multiple working modes, and the working modes have a corresponding relationship with the sign state.
  • the sign state and the working mode may have a one-to-one correspondence, that is, different sign states correspond to different working modes.
  • the sign state and the working mode can be a many-to-one relationship, that is, different sign states can correspond to the same working mode, that is, the working mode used by the medical device may be the same for different sign states of the monitored object .
  • the working mode corresponding to the sign state can be determined in a preset working mode library.
  • the determined working mode may be referred to as a target working mode.
  • the sign state determined in step 1.2 is a cardiac arrest state
  • the working mode corresponding to the sudden stop state is a working mode related to cardiopulmonary resuscitation operation, and the working mode can be determined as the target working mode according to the corresponding relationship.
  • the implementation of this target working mode by medical equipment can assist medical personnel to perform cardiopulmonary resuscitation operations on the monitored objects.
  • Step 1.4 Execute the target working mode.
  • the working mode is a general description of the working content of medical equipment.
  • the working mode may limit the interface display of the medical device and the workflow.
  • the working mode may include display interface layout configuration information of the medical device and / or medical device workflow Configuration information.
  • the display interface layout configuration information is used to indicate which parameter items are included in the interface to be displayed during the working process of the medical device, and how the layout of these parameter items is;
  • the workflow configuration information is used to indicate which steps the medical device includes And what is the order of execution of these steps.
  • the implementation of the target working mode of medical equipment can realize the monitoring of the monitored objects.
  • This monitoring includes how the device display interface is displayed and how the work process is executed.
  • the work mode may include a workflow set, a tool set associated with the workflow set, and constraints for execution of each workflow in the workflow set.
  • the workflow set refers to a collection of workflows. It should be noted that the workflow set includes multiple workflows or one workflow.
  • the tool set refers to a collection of application tools. It should be noted that the tool set included in the tool set associated with the tool flow set may include multiple items or one item.
  • Workflow is a basic process used to realize a function of a medical device, such as an induction process before the operation, a maintenance process during the operation, and a recovery process after the operation is completed.
  • Some tools may be used during the execution of the workflow, and these tools are the aforementioned application tools.
  • the application tool is a module that may be used in the workflow execution of the medical device to implement a specific function.
  • application tools include apnea analysis module, sign parameter value distribution statistics module, severe congenital heart disease screening module, and so on.
  • Workflows and application tools can be considered as functional modules, which are generally implemented through software programs. The difference is that the execution of application tools depends on the execution of workflows, that is, a certain workflow may be called during the execution of a workflow. One or more application tools to load the functions implemented by the application tool. An application tool may be called by multiple workflows, and a workflow may also call multiple application tools. The relationship between the two is many-to-many.
  • the workflow and application tools involved in the workflow set can be pre-stored in the data pool.
  • the data pool can specifically include the workflow pool and the tool pool.
  • the workflow pool contains medical equipment. All workflows used, the tool pool contains all application tools that may be used by medical equipment.
  • the workflow execution in the workflow set is subject to constraints.
  • constraints can include both constraints between workflows and workflows, as well as constraints between workflows and application tools.
  • the constraints between the workflow and the workflow can be embodied as the constraints of the execution sequence of the workflow; the constraint relationship between the workflow and the application tools can be embodied as the call relationship of the workflow to the application tool.
  • the target working mode belongs to one of the above-mentioned working modes, so the target working mode can also be expressed in the above-mentioned form. Based on this form of target work mode, the specific ways to implement the target work mode are:
  • the respective workflows are executed in sequence, and in the process of executing the respective workflows, tools associated with the workflows are called.
  • the medical device can continue to work. If it is determined from the medical data that the sign state of the monitored object has changed, the medical device can automatically switch the working module to the working mode corresponding to the changed sign state.
  • the visual representation of the switch of the working module may be that the display interface has changed, such as changes in the layout of the monitoring parameters, changes in the types of monitoring parameters, changes in the number of monitoring parameters, and so on.
  • this application provides a multi-working mode setting method for medical equipment.
  • This method can obtain medical data of the monitored object, and can determine the sign status of the monitored object based on the medical data, and then in the preset working mode In the library, select the working mode corresponding to the sign status and execute the working mode to realize the monitoring of the monitored object by the medical device.
  • the method provided by the present application can improve the setting efficiency of the working mode of the medical equipment and realize the automatic setting of the working mode.
  • One application scenario is that the medical device obtains patient identity information from the wristband worn by the patient.
  • the identity information includes age.
  • the medical device can determine the patient's physical status as an adult according to the age, and the medical device turns on the adult monitoring mode.
  • the medical data obtained by the medical device contains the patient's medical history data or diagnosis results.
  • the working mode related to the heart state is turned on. This working mode has arrhythmia analysis function.
  • the medical device determines that the patient's blood pressure state may be abnormal, and then starts the work mode related to the blood pressure state. This work mode can perform 24-hour dynamic blood pressure monitoring, and can also count patients during the day or The overall condition of blood pressure at night.
  • the medical device can obtain the patient's physiological data, treatment data, nursing data and other medical data from the electronic medical record system or other clinical systems (such as medical order system, nursing order system, etc.).
  • physiological data include biochemical test data, rescue cardiopulmonary resuscitation data, etc .
  • treatment data include mechanical ventilation by ventilator, medication use, doctor's medical orders, etc.
  • nursing data include sputum suction, patient cleaning, turning over, eating and other nursing activities.
  • the medical equipment combines physiological sign monitoring data to enter a certain working mode suitable for the patient.
  • the medical equipment is turned on Auxiliary ventilation monitoring mode.
  • This application provides another implementation of a method for setting a multi-working mode of a medical device. As shown in FIG. 2, this implementation includes a data input module 21, a pattern decision module 22, a pattern loading module 23, and a pattern execution module 24.
  • the data input module 21 obtains medical data of the monitoring object.
  • the medical data may specifically include: personal information data, physiological data, nursing data, and treatment data.
  • personal information data includes demographic information (such as age, gender, race, etc.), family medical history, personal medical history, etc.
  • Physiological data includes physiological sign monitoring data, biochemical detection data, imaging examination data, clinical observation data, etc.
  • the mode decision module 22 selects the working mode in the decision dictionary according to the medical data.
  • the decision dictionary may be regarded as a specific implementation of the preset working mode library. As shown in Fig. 2, the decision dictionary contains several working modes. The working mode can be specifically represented by three items: workflow set, tool set, and constraint conditions.
  • Constraints may include constraints on the execution order between workflows. As shown in FIG. 2, in the constraints of work mode n, the workflow set includes workflow 2, workflow 5 and workflow 9, and the execution order is workflow 5. Workflow 3 and workflow 9. Constraints can also include the application tools associated with the workflow. As shown in FIG. 2, in the constraint of working mode n, workflow 2 calls tool 7; and as in the constraint of working mode 1, workflow 1 calls Tool 1. The constraint condition can also be empty. As shown in FIG. 2, the constraint condition of working mode 2 is none.
  • the workflow involved in the workflow set and the application tools involved in the tool set can be stored in the data pool in advance.
  • the workflow pool in the data pool contains n workflows. In order to distinguish records, you can add a numeric sequence number to the workflow, that is, the workflow is marked as workflow 1, workflow 2, workflow 3 ... workflow n.
  • the tool pool in the data pool contains n tools. In order to distinguish records, you can add a numeric serial number to the application tool, that is, the application tool is marked as tool 1, tool 2, tool 3 ... tool n.
  • the mode loading module 23 calls related workflows and application tools from the data pool according to the work mode selected by the mode decision module 22.
  • the pattern execution module 24 executes the workflow called by the pattern loading module 23, and calls the application tool associated with the workflow during the execution of the workflow. It should be noted that the execution process needs to be restricted according to the constraints.
  • the mode execution module 24 may automatically switch the working module to the changed sign state Working mode.
  • the mode decision module and the mode loading module may exist inside the medical device or outside the medical device, for example, they are installed on the network server side and cloud server side.
  • the working mode in the decision dictionary can be edited, added and deleted.
  • a new work mode can be generated through self-learning; for example, an external processing instruction for the work mode can be received, and the work mode can be processed according to the processing instruction.
  • the workflow and application tools in the data pool can also perform the above processing operations.
  • the medical staff can first select the newborn monitoring scene on the medical device according to the characteristics of the monitoring object.
  • the medical device can collect the medical data of the corresponding type of the neonate and determine the sign status according to the specific content of the medical data.
  • the preset working mode library contains two working modes corresponding to the monitoring scene, as shown in FIG. 3A, respectively: neonatal intensive care mode and neonatal general monitoring mode.
  • the neonatal intensive care mode corresponds to the neonatal intensive care state
  • the neonatal general care mode corresponds to the neonatal intensive care state.
  • the types of medical data that need to be monitored in the intensive care mode include multiple types, such as ECG, blood oxygen, respiration, and blood pressure, so the intensive care mode can also be called a multi-parameter monitoring mode; in contrast, In the general monitoring state, there are fewer types of medical data to be monitored in the general monitoring mode, which generally only includes blood oxygen. Therefore, the general monitoring mode may also be called a single-parameter monitoring mode.
  • the specific forms of the neonatal intensive care mode and the neonatal general monitoring mode can be expressed as three parts including the workflow set, the tool set associated with the workflow set, and the constraints required for workflow execution.
  • the workflow set specifically includes a workflow, that is, a multi-parameter monitoring workflow;
  • the tool set associated with the workflow set includes four items, respectively for apnea analysis Device, physiological parameter value distribution statistics module, severe congenital heart disease screening module, discharge assessment module; the constraints required for workflow execution are none.
  • the workflow set specifically includes a workflow, that is, a single-parameter monitoring workflow; the tool set associated with the workflow set includes two items, which are the physiological parameter value distribution statistics module, severe congenital heart disease Screening module; the constraints required for workflow execution are to block the monitoring of other types of medical data when entering the mode.
  • the workflow involved in the workflow set and the application tools involved in the tool set can be stored in the data pool in advance.
  • the workflow pool in the data pool includes two workflows, namely: a multi-parameter monitoring workflow and a single-parameter monitoring workflow.
  • the multi-parameter monitoring workflow is marked as workflow 1
  • the parameter monitoring workflow is marked as workflow 2.
  • the tool pool in the data pool contains four application tools, namely: apnea analyzer, physiological parameter value distribution statistics module, severe congenital heart disease screening module, and discharge assessment module.
  • the four application tools are labeled Tool 1, Tool 2, Tool 3, and Tool 4, respectively.
  • the above is a description of some preset information about the neonatal monitoring mode.
  • the data input module obtains medical data of the newborn, and the mode decision module determines the newborn's sign status according to the medical data, and then determines the target work corresponding to the sign status in the above two working modes Mode, the mode loading module loads the workflow and application tools required by the target working mode from the data pool, and the mode execution module executes the target working mode.
  • the medical device can continue to work. If it is determined from the collected medical data that the neonatal sign state has changed, the medical device can automatically switch to the target working mode corresponding to the changed sign state.
  • the target working mode is determined to be switched from the neonatal intensive care mode to the neonatal intensive care mode; or the opposite goal is performed Work mode switching.
  • the display interface of the medical device After the working mode is switched, the display interface of the medical device also changes accordingly. If the newborn is seriously ill and the medical device determines that the neonatal intensive care mode needs to be performed, the display interface includes measurement data of multiple monitoring parameters such as ECG, blood oxygen, respiration, and blood pressure, and the measurement data includes the measurement values and the waveform diagram. If the newborn's condition improves and the medical device determines to perform the normal monitoring mode, the display interface no longer contains monitoring data for some parameters such as ECG, respiration, and blood pressure, and only provides monitoring data for blood oxygen. As the state of the newborn's physical signs changes, it can be seen that the display interface of the medical device has also changed accordingly.
  • multiple monitoring parameters such as ECG, blood oxygen, respiration, and blood pressure
  • the measurement data includes the measurement values and the waveform diagram. If the newborn's condition improves and the medical device determines to perform the normal monitoring mode, the display interface no longer contains monitoring data for some parameters such as ECG, respiration, and blood pressure, and only provides monitoring
  • the sign state of the monitored object includes the condition monitoring state and the condition recovery state
  • the working mode of the medical device includes a condition monitoring mode corresponding to the condition monitoring state, and a condition recovery assessment mode corresponding to the condition recovery state;
  • the target working mode is switched from the mode of condition monitoring to the mode of assessment of condition recovery.
  • the state of condition monitoring and the state of recovery are two relative sign states, and the two sign states can also change with each other. If the condition of the monitored subject is aggravated, the sign state will be changed from the state of condition monitoring to the state of condition recovery, and vice versa.
  • the specific function of the working mode is set according to the sign status of the monitored object. Under the condition of illness monitoring, clinical attention is paid to the abnormality of certain physiological parameters. Therefore, the specific functions of the working mode may include real-time monitoring of physiological parameters, trend review of physiological parameters, and review of alarm events. In the state of recovery, the clinical focus is more on the overall recovery status of the monitored object. Therefore, the specific functions of the working mode can include the assessment of the condition, where the condition assessment process will block some unimportant physiological alarms.
  • the monitoring scene options provided by the medical device may include the surgical scene, and the medical staff may select the surgical scene according to the characteristics of the patient.
  • the surgical scene can be more specifically subdivided into an in-patient surgery scene and a day surgery scene.
  • patients after surgery in the inpatient department are often sent to the intensive care unit, and patients after day surgery can often be discharged after observation.
  • in-hospital surgery is often a major operation, which takes a long time, has many monitoring parameters, and is often accompanied by invasive monitoring.
  • monitoring parameters are mostly non-invasive monitoring, the anesthesia is mainly intravenous injection, and inhalation anesthesia is rare.
  • the workflow set, tool set, and constraints in the work mode are set accordingly according to the characteristics of the surgical scene. Therefore, in different surgical scenarios, the working mode performed by the medical device will be different. For example, in the working mode corresponding to the surgical scene in the inpatient department, there are more surgical monitoring parameters, longer monitoring time in the induction phase, and more monitoring parameters in the maintenance period; in the working mode corresponding to the inpatient department surgery, it is necessary to judge whether the patient's resuscitation state has reached Transferred to the intensive care unit, and in the working mode corresponding to the day surgery, it is determined whether the patient's resuscitation status meets the requirement of being discharged.
  • the specific form of the work mode can be expressed as the workflow set, the tool set associated with the workflow set, and the constraints required for workflow execution.
  • the difference in the work mode can be reflected in the above three aspects.
  • the tool set in the working mode corresponding to the surgical scene in the inpatient department, includes: invasive monitoring parameters, dynamic short trend graph, intubation indicator, timer, anesthesia balance triangle, three low status indicator, resuscitation score Tools; but in the working mode corresponding to the daytime hand scene, the tool set includes different application tools, namely: dynamic short trend chart, timer, preoperative baseline calibration tool, postoperative baseline anastomosis comparator, and discharge score tool .
  • the constraints for workflow execution are also different. It should be noted that the workflow included in the workflow set and the application tools associated with the tool set can be stored in the data pool, and the specific content of the data pool is shown in FIG. 3B.
  • the medical staff can select a specific surgical scene according to the characteristics of the surgical patient.
  • the medical device can collect the medical data of the corresponding type of the patient, and determine the sign status according to the value of the medical data.
  • the monitoring scene is associated with three sign states: the sign state includes the operation induction state, the operation maintenance state, and the operation recovery state.
  • the preset working mode library contains three working modes corresponding to the monitoring scene, which are: surgical induction mode, surgical maintenance mode and surgical recovery mode.
  • the surgical induction mode corresponds to the surgical induction state
  • the surgical maintenance mode corresponds to the surgical maintenance state
  • the surgical recovery state corresponds to the surgical recovery mode.
  • the surgical induction state is the state of the patient during the surgical preparation process.
  • the operation preparation includes injection of anesthesia to the patient, in addition to inserting the catheter necessary for the operation of the patient and other contents. After injecting anesthesia, check whether the patient's respiration rate meets certain requirements, if it is, it indicates that the patient has entered the surgical induction state.
  • the patient's respiration rate meets another requirement, such as a stable respiratory waveform, it means that the patient's anesthetic is effective and the operation can be performed. At this time, the patient is in a state of surgical maintenance. When the operation is completed, the collected sign parameters can indicate that the patient's consciousness has been restored, which means that the patient has entered the surgical recovery state.
  • the data input module obtains the patient's medical data, and the mode decision module determines the patient's sign state according to the medical data, and then determines the target working mode corresponding to the sign state in the above three working modes.
  • the mode loading module loads the workflow and application tools required by the target working mode from the data pool, and the mode execution module executes the target working mode.
  • the medical device can automatically switch to the target working mode corresponding to the changed sign state.
  • the target working mode is determined to be the surgical induction mode; when the determined sign state of the monitored object is changed from the surgical induction state to the surgical maintenance state, the target working mode is determined to be surgical induction The mode is switched to the operation maintenance mode; when it is determined that the monitoring object's sign state is changed from the operation maintenance state to the operation recovery state, it is determined that the target working mode is switched from the operation maintenance mode to the operation recovery mode.
  • the surgical induction work mode includes the display interface layout configuration information and workflow configuration information related to the medical device during the surgical induction period
  • the surgical maintenance work mode includes the display interface layout configuration information and workflow configuration information related to the medical device during the surgical maintenance period
  • the surgical recovery working mode includes the configuration information of the display interface layout and the workflow configuration information related to the medical device during the surgical recovery period.
  • the display interface layout configuration information is used to indicate what the display interface layout is; the workflow configuration information is used to indicate the steps included in the workflow and the execution order between the steps. As the patient undergoes the above three changes in the sign status, the content of the display interface of the medical device will also change intuitively according to the different layout information of the display interface.
  • the patient enters the surgical induction state, and the medical device will perform the surgical induction work mode, so that the display interface contains an intubation indicator to prompt the medical staff to intubate the patient.
  • the medical equipment When the patient enters the operation maintenance state from the operation induction state, the medical equipment will perform the operation maintenance operation mode.
  • the display interface changes include the removal of the intubation indicator, the addition of the anesthesia balance triangle, and the three-low status indicator.
  • the medical device When the patient enters the surgical recovery state from the surgical maintenance state, the medical device will perform the surgical recovery working mode.
  • the display interface changes include the removal of the anesthesia balance triangle and the three-low status indicator, and the addition of resuscitation scoring tools.
  • the patient enters the surgical induction state, and the display interface of the medical device will contain the preoperative baseline calibration tool; the patient enters the surgical maintenance state from the surgical induction state, and the display interface changes include, before removal Baseline calibration tool; the patient changes from the maintenance state to the operation recovery state, and the display interface changes include adding a postoperative baseline anastomosis comparator and a discharge scoring tool.
  • the medical equipment will automatically switch the corresponding working mode, which improves the efficiency of the medical equipment.
  • the user can intuitively view the change of the display interface.
  • three specific working modes can be included as two workflows in two large monitoring scenarios of inpatient surgery and day surgery. After determining which of the two monitoring scenarios to use, the medical device can execute the working mode corresponding to the monitoring scenario, and during the execution of the working mode, according to the changes in the patient's physical status, there are three different To switch between workflows.
  • the present application also provides a multi-working mode setting method for medical equipment, which can execute a corresponding working mode according to a setting instruction input by a user.
  • FIG. 4 shows the flow of the multi-working mode setting method for medical equipment, specifically including steps 4.1-4.3.
  • Step 4.1 Obtain the working mode setting instruction.
  • the medical device can provide an input module, and the user can input the setting instruction of the working mode through the input module.
  • the display screen of the medical device is set as a touch screen, and the display screen can provide alternative options for each working mode included in the preset working mode library for the user to select.
  • the medical device In response to the operation of the user selecting a certain working mode, the medical device generates a setting instruction for the working mode.
  • Step 4.2 According to the setting instruction, determine the target working mode.
  • the preset working mode library contains multiple working modes, and the setting instruction can indicate which working mode the user selects the working mode. Therefore, according to the setting instruction, the working mode corresponding to the setting instruction is determined in the preset working mode library The determined working mode can be called the target working mode.
  • the working mode includes configuration information of the display interface layout of the medical device and / or workflow configuration information of the medical device.
  • Step 4.3 Execute the target working mode.
  • the work mode includes the workflow set, the tool set associated with the workflow set, and the constraint conditions for the execution of each workflow in the workflow set.
  • the execution mode of the target work mode is to execute each workflow in sequence according to the constraints of execution of each workflow according to the workflow of the target work mode, and to call the tools associated with the workflow during the execution of each workflow .
  • the present application also provides a multi-working mode setting method for medical equipment.
  • the medical equipment is connected to other medical equipment.
  • the medical equipment can set its own working mode according to the parameter setting information of other medical equipment.
  • FIG. 5 shows the flow of the method for setting the multi-working mode of the medical device, specifically including steps 5.1-5.3.
  • Step 5.1 Read the medical parameter setting information of other medical equipment.
  • the medical device used in this method may be referred to as the target medical device.
  • other medical equipment may be connected to the monitored object.
  • the other medical equipment may include a medical system. It should be noted that the other medical devices connected to the monitoring object may be one or more than one.
  • the other medical equipment may include any one or more of measurement equipment, monitoring equipment, and treatment equipment.
  • the treatment equipment includes, but is not limited to, one or more of an extracorporeal circulation machine, a ventilator, an anesthesia machine, and a defibrillator.
  • Other medical equipment can implement functions such as measurement, monitoring, and treatment for the monitored objects. For example, during the operation, if the patient's heart function is temporarily interrupted passively, an extracorporeal circulation machine is required to provide heart-related functional support; for another example, the defibrillator can perform defibrillation operations for patients with abnormal heart rate to restore the patient's heart rate to normal.
  • Other medical devices will contain medical parameter setting information.
  • the medical parameter setting information is specifically treatment parameter setting information.
  • the medical parameter setting information is used to instruct the medical method and / or medical purpose of other medical equipment to the monitored object.
  • the medical methods of the defibrillator can include three medical modes, namely, pacing mode, automatic defibrillation mode, and manual defibrillation mode.
  • Step 5.2 Set the working mode to the target working mode corresponding to the medical parameter setting information.
  • the working mode provided by the target medical equipment is also different.
  • the filter module of the target medical device needs to be set to the mode corresponding to the cardiac pacing mode; if the defibrillator works in manual defibrillation mode, the target medical device needs to be Is set to the mode corresponding to the manual defibrillation mode; if the defibrillator works in the automatic defibrillation mode, the filter module of the target medical device needs to be set to the mode corresponding to the automatic defibrillation mode.
  • the medical parameter setting information can reflect the situation of the medical means, so the correspondence between the medical parameter setting information and the working mode can be set in advance.
  • the target working mode After acquiring the medical parameter setting information of other medical devices, according to the corresponding relationship, the target working mode can be determined.
  • the target working mode can be used to reflect the medical effects of medical parameters.
  • Step 5.3 Execute the target working mode.
  • the present application also provides a multi-working mode setting method for medical equipment, which can directly set the working mode of the medical equipment according to the collected physiological sign parameters.
  • FIG. 6 shows the flow of the method for setting a multi-working mode of medical equipment, specifically including steps 6.1 to 6.4.
  • Step 6.1 The device for collecting physiological sign parameters is connected to the medical equipment.
  • the medical equipment can be connected to a physiological sign parameter collection device, and the physiological sign parameter collection device can collect real-time physiological sign parameters of the monitored object.
  • the medical device detects the connection signal with the physiological sign parameter collection device, and can determine that the physiological sign parameter collection device is connected.
  • the number of physiological sign parameter collection devices may be one or more, and the type may be one or more.
  • Step 6.2 Determine the parameter type of the physiological sign parameter collected by the physiological sign parameter collection device.
  • a blood oxygen collector can collect the blood oxygen value of the monitoring object
  • a blood pressure meter can collect the blood pressure value of the monitoring object.
  • the type of the collected physiological sign parameter can be determined.
  • Step 6.3 Determine the target working mode corresponding to the parameter type of the physiological sign parameter.
  • different types of physiological sign parameters may require medical devices to provide different types of working modes.
  • the signal that the medical device is connected to the blood oxygen collector indicates that there is a need to measure the blood oxygen of the monitored object, and the display interface related to the blood oxygen measurement needs to appear on the medical device; similarly, the medical device is connected to the blood pressure Signal, a display interface related to blood pressure measurement needs to appear on the medical device.
  • the medical device detects that the device itself has two blood oxygen measurement channels, the medical device displays a double blood oxygen monitoring interface; if the medical device detects that the device itself has two noninvasive blood pressure measurement channels, the medical device displays a dual channel noninvasive Blood pressure monitoring interface.
  • the corresponding relationship between the parameter type of the physiological sign parameter and the working mode can be preset.
  • the working mode is determined according to the corresponding relationship, and the determined working mode is the target working mode in this step.
  • the target working mode includes the setting information of the display interface layout of the medical device and / or the setting information of the workflow of the medical device.
  • a specific way to determine the target working mode includes automatically generating a matching interface layout and / or alarm configuration based on the determined parameter type of the physiological sign parameter. That is to say, if the parameter types of physiological sign parameters are different, the generated interface layout and / or alarm configuration may also be different.
  • the interface layout is a single-parameter interface layout.
  • the physiological sign parameter can be displayed in large font; if there are multiple physiological sign parameters, the interface layout is a multi-parameter interface layout.
  • the physiological sign parameters are displayed according to the layout, and some physiological sign parameters in the layout are displayed in a relatively prominent manner, and the remaining physiological sign parameters are displayed in a relatively ordinary manner.
  • the medical device determines that the operation mode to be performed is the operation maintenance operation mode.
  • the medical device may monitor the alarm information.
  • Alarms can be divided into two types, physiological alarms and technical alarms.
  • the physiological alarm is an alarm caused by the abnormality of the monitored physiological sign parameters
  • the technical alarm refers to the alarm caused by the interruption of the monitoring signal or the detection of the interference signal.
  • a patient is monitored using a monitor.
  • the operation may use an electrocautery. Signals related to the electrocautery may interfere with the monitor, and the monitor may generate an alarm. This alarm is a technical alarm.
  • the existence of technical alarms may cause errors in physiological alarms. Therefore, if the technical alarm is detected by the medical device and the work mode performed contains a physiological alarm, the relevant information of the physiological alarm in the working mode can be deleted, such as the detection workflow information of the physiological alarm and the interface of the physiological alarm Display information so that the alarm configuration of the working mode is automatically adapted to the current situation.
  • the method provided in this embodiment enables the medical device to automatically match the relevant interface layout and / or alarm configuration.
  • Step 6.4 Execute the target working mode.
  • it may further include: the processing of the interruption of the physiological mode parameter in the working mode.
  • the cause of the signal interruption of the physiological sign parameter is determined; if the signal interruption reason is a normal cause, a physiological condition is deleted in the target working mode.
  • medical staff may take the initiative to remove the blood oxygen collector connected to the patient's body.
  • the medical equipment detects that the blood oxygen signal collected by the blood oxygen collector is interrupted.
  • the cause of the signal interruption is a normal cause, and the medical staff can input a cause instruction of the signal interruption to indicate to the medical equipment that the cause of the signal interruption is the normal cause.
  • the medical device may delete the display interface and / or workflow corresponding to the blood oxygen parameter in the target working mode according to the instruction of the cause.
  • the present application provides a medical device that can automatically switch between multiple working modes.
  • the medical device includes: a memory and a processor.
  • the memory stores multiple working modes in advance, wherein the working mode includes several workflows, tools associated with the workflows, and constraint relationships for workflow execution;
  • the processor if the working state of the medical device satisfies the switching condition, switches among the plurality of working modes, and when executing the switched working mode, executes sequentially according to the constraint conditions of the execution of each workflow in the workflow set.
  • this application provides another medical device, which includes: a memory and a processor.
  • Memory store program instructions
  • the processor executes program instructions to implement any of the steps of the method for setting a multiple working mode of a medical device.
  • each of the foregoing units or modules for performing various steps may be stored in one or more of the foregoing memories, and the foregoing embodiments are respectively used to implement the foregoing monitor or monitoring system, in which each functional module includes Each instruction set used to perform the corresponding steps in the above method.
  • the above module or program ie, instruction set
  • these modules can be combined or rearranged.
  • Each sub-block therefore, in some embodiments of the invention, the memory may store a subset of the modules or data structures described above.
  • FIG. 7 provides a system framework diagram of a parameter processing module in a multi-parameter monitor.
  • the multi-parameter monitor has an independent housing with a sensor interface area on the housing panel, in which multiple sensor interfaces are integrated to connect with various external physiological sign parameter sensor accessories 711.
  • the housing panel also includes a small LCD display area and a display 718, input interface circuit 720 and alarm circuit 719 (such as LED alarm area) and so on.
  • the parameter processing module is used for external communication and power interface for communicating with the host and taking power from the host.
  • the parameter processing module also supports extrapolation parameter modules.
  • the plug-in monitor host can be formed by inserting the parameter module as a part of the monitor, or it can be connected to the host through a cable.
  • the extrapolation parameter module is used as an external accessory of the monitor.
  • the multi-parameter monitor includes a memory 717 for storing computer programs and various data generated during the related monitoring process.
  • the internal circuit of the parameter processing module is placed in the housing, as shown in FIG. 7, and includes at least two signal acquisition circuits 712, a front-end signal processing circuit 713, and a main processor 715 corresponding to physiological sign parameters.
  • the main processor 715 may implement various steps related to the processing in each monitoring information display method described above.
  • the signal acquisition circuit 712 can be selected from an electrocardiogram circuit, a breathing circuit, a body temperature circuit, a blood oxygen circuit, a non-invasive blood pressure circuit, an invasive blood pressure circuit, etc. These signal acquisition circuits 712 are electrically connected to corresponding sensor interfaces for electrical The sensor accessory 711 corresponding to different physiological signs parameters is connected, the output end of which is coupled to the front-end signal processor, the communication port of the front-end signal processor is coupled to the main processor, and the main processor is electrically connected to the external communication and power interface.
  • the front-end signal processor completes the sampling and analog-to-digital conversion of the signal acquisition circuit output signal, and outputs the control signal to control the physiological signal measurement process.
  • These parameters include but not Limited to: ECG, respiration, body temperature, blood oxygen, noninvasive blood pressure and invasive blood pressure parameters.
  • the front-end signal processor can be implemented by a single-chip microcomputer or other semiconductor devices, or by ASIC or FPGA.
  • the front-end signal processor can be powered by an isolated power supply. After simple processing and packaging, the sampled data is sent to the main processor through the isolated communication interface.
  • the front-end signal processor circuit can be coupled to the main processor 715 through the isolated power supply and the communication interface 714. .
  • the reason why the front-end signal processor is powered by the isolated power supply is that the DC / DC power supply isolated by the transformer plays the role of isolating the patient from the power supply equipment.
  • the main purposes are: 1. Isolating the patient, floating the application part through the isolation transformer, so that The leakage current of the patient is small enough; 2. Prevent the voltage or energy during the application of defibrillation or electrocautery from affecting the cards and devices of the intermediate circuit such as the main control board (guaranteed by creepage distance and electrical clearance).
  • the main processor completes the calculation of physiological sign parameters, and sends the calculation results and waveforms of the parameters to the host (such as a host with a display, a PC, a central station, etc.) through external communication and power interface.
  • the external communication and power interface 716 can It is one or a combination of LAN interfaces composed of Ethernet, Token Ring, Token Bus, and FDDI, which are the backbone networks of these three networks. It may be one or a combination of wireless interfaces such as infrared, Bluetooth, wifi, and WMTS communication, or one or a combination of wired data connection interfaces such as RS232 and USB.
  • the external communication and power interface 716 may also be one or a combination of two of a wireless data transmission interface and a wired data transmission interface.
  • the host computer can be any computer equipment such as the monitor's host computer, electrocardiogram machine, ultrasound diagnostic equipment, computer, etc., and install the matching software to form a monitoring device.
  • the host can also be a communication device, such as a mobile phone, and the parameter processing module sends data to a mobile phone that supports Bluetooth communication through a Bluetooth interface to realize remote transmission of data.
  • the present application provides a readable storage medium on which a computer program is stored.
  • a computer program is loaded and executed by a processor, any one of the above multi-working mode setting methods for medical devices is implemented.
  • any tangible, non-transitory computer-readable storage medium can be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROM, DVD, Blu-ray disks, etc.), flash memory, and / or the like .
  • These computer program instructions can be loaded onto a general purpose computer, special purpose computer, or other programmable data processing equipment to form a machine, so that these instructions executed on a computer or other programmable data processing device can generate a device that implements a specified function.
  • Computer program instructions can also be stored in a computer-readable memory, which can instruct the computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory can form a piece Manufactured products, including implementation devices that implement specified functions.
  • Computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operating steps are performed on the computer or other programmable device to produce a computer-implemented process that allows the computer or other programmable device to execute Instructions can provide steps for implementing specified functions.

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Abstract

一种医疗设备，包括：存储器，预先存储多种工作模式，其中工作模式包含若干工作流程、工作流程所关联的工具、工作流程执行的约束关系；处理器，若医疗设备的工作状态满足切换条件则在多种工作模式之中进行切换，在执行切换后的工作模式时，按照工作流集中各个工作流执行的约束条件，依次执行各个工作流，并在执行各个工作流的过程中，调用工作流所关联的工具。

Description

医疗设备、用于医疗设备的多工作模式监护设置方法及装置 技术领域
本申请涉及医疗设备技术领域，具体涉及一种医疗设备、用于医疗设备的多工作模式设置方法及装置。
背景技术
医学领域中，针对不同的病人、病症存在大量不同的临床场景，不同临床场景中，需要不同的监测、治疗、护理或诊断的处理措施。例如，重症新生儿的监测参数与重症成年人明显不同；又如，实施手术的病人，在手术过程的诱导期、维持期和复苏期三个不同阶段的生命体征不同，需要监测的参数也是不同的。
目前，临床上的医疗设备，需要操作人员手动调用各部分功能模块并人工进行组合，操作复杂度较高且工作效率较低。
发明内容
第一方面，本申请提供了一种用于医疗设备的多工作模式设置方法，包括：
获得监测对象的医疗数据；
根据所述医疗数据，确定所述监测对象的体征状态；
在预设工作模式库中，确定与所述体征状态对应的目标工作模式；其中所述预设工作模式库中包含多个工作模式，所述工作模式与所述体征状态具有对应关系；
执行所述目标工作模式。
第二方面，本申请提供了一种用于医疗设备的多工作模式设置方法，包括：
获得用户所输入的工作模式设置指令；
依据所述设置指令，在预设工作模式库中确定与所述设置指令对应的目标工作模式；其中，所述预设工作模式库中包含多个工作模式，所述工作模式包括医疗设备的显示界面布局配置信息和/或医疗设备的工作流程配置信息；
执行所述目标工作模式。
第三方面，本申请提供了一种用于医疗设备的多工作模式设置方法，包括：
读取与所述设备连接的其他医疗设备的医疗参数设置信息；
将工作模式设置为与所述医疗参数设置信息相对应的目标工作模式；其中所述目标工作模式用于反映医疗参数的医疗效果；
执行所述目标工作模式。
第四方面，本申请提供了一种用于医疗设备的多工作模式设置方法，包括：
检测生理体征参数采集装置接入到所述医疗设备；
确定生理体征参数采集装置所采集的生理体征参数的参数类型；
确定与所述生理体征参数的参数类型对应的目标工作模式；其中所述目标工作模式包括医疗设备的显示界面布局设置信息和/或医疗设备的工作流程设置信息；
执行所述目标工作模式。
第五方面，本申请提供了一种医疗设备，包括：
存储器，预先存储多种工作模式，其中所述工作模式包含若干工作流程、工作流程所关联的工具、工作流程执行的约束关系；
处理器，若所述医疗设备的工作状态满足切换条件则在所述多种工作模式之中进行切换，在执行切换后的工作模式时，按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
第六方面，本申请提供了一种医疗设备，包括：
存储器，所述存储器存储程序指令；
处理器，所述处理器执行程序指令以实现上述任一种用于医疗设备的多工作模式设置方法的步骤。
第七方面，本申请提供了一种可读存储介质，其上存储有计算机程序，所述计算机程序被处理器加载并执行时，实现上述任意一种用于医疗设备的多工作模式设置方法。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1-2为用于医疗设备的多工作模式设置方法的两种流程图；
图3A-3B为两种具体应用场景示例的流程图；
图4-6为用于医疗设备的多工作模式设置方法的另三种流程图；
图7为监护仪的一种结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
在医疗领域中，不同的临床场景中病人的体征状态不同，病人所需要的护理或治疗措施也是不同的。临床场景的不同，可能体现在不同的病人所需要的医护措施不同，也可能体现在同一病人随着临床状态的变化，所接受的医护措施的调整。
临床上医护人员需要使用医疗设备提供辅助工作，为了具有较高的应用性，医疗设备中可能配置有多种应用模块，将不同的应用模块按照不同医疗流程的需要组合起来，便可以得到提供不同医护功能的工作模式。
在不同的医护场景中，医疗设备需要配合临床需求提供不同的工作模式，以为病人治疗过程提供最佳的设备使用效果。现有的医疗设备完全依赖医护人员的人工操作，即医护人员根据实际需求，手动从医疗设备的应用模块中选取所需模块，并设置所选模块的先后执行顺序，从而组合出所需工作模式。这种人工设置方式，对于操作人员来说较为复杂，设置效率较低。
本申请提供了一种用于医疗设备的多工作模式设置方法。如图1所示，该方法可以具体包括如下步骤1.1-步骤1.4。
步骤1.1：获得监测对象的医疗数据。
其中，监测对象可以是实际应用场景中有监测需求的任何对象。
医疗数据的获得方式可以有多种。
一种获取方式可以是从存储设备预先存储的数据中获得。具体如监测对象配备有穿戴设备，该设备内记录有该监测对象相关的医疗数据，因此可以从监测对象的穿戴设备中读取该监测对象的医疗数据；具体又如为了对大量病患的信息进行管理设置有电子病历系统，该系统内记录有这些病患的相关信息，因此可以从电子病历系统中获取监测对象的医疗数据。其中电子病历系统中包含的病患信息可以包括个人信息数据如人口信息、家族病史、个人病史等，也可以包括生理数据如生理体征监测数据、生化检查数据、影像数据等。
具体的一种应用场景为，有些病患配置有穿戴设备如腕带，腕带中记录有该病患的一些个人信息数据，如年龄、性别、病史、病症等，医疗设备可以直接从腕带读取该病患所需的医疗数据。或者，腕带中记录有病患的身份标识如社保号、住院号等，可以从腕带中读取该病患的身份标识，通过该身份标识从电子病历系统中读取该病患详细的医疗数据。
另一种获取方式可以是从对监测对象的实时监测数据中获得。具体地，可以使用生理体征参数采集装置采集该监测对象的生理体征参数，进而从采集到的生理体征参数的信息中识别得到该监测对象的生理数据。
具体的一种应用场景为，使用医疗设备附件采集病患的体温、呼吸率、血压、血氧等生理体征信号，从采集的生理体征信号可以获取监测对象的各种生理数据。
又一种获取方式可以是从医疗设备的输入设备中获得。具体地，如果需要对某监测对象进行监测，医疗设备可以接收外部输入数据，则用户如医护人员可以通过输入设备向医疗设备输入该监测对象的医疗数据。
医疗设备对医疗数据的展示形式可以有多种，例如字符、声音、图像等。
具体的，医疗数据可以包括如下几项中的一项或多项：个人信息数据、生理数据、护理数据、治疗数据。当然，也可以包括其他可以用于实现本申请发明目的相关数据。
其中个人信息数据即监测对象自身的基本信息，包括但不限于人口信息(如年龄、性别、种族等)、家族病史、个人病史等；生理数据指的是监测对象的生理状态数据，包括但不局限于生理体征监测数据、生化检验数据、影像检查数据、临床观察数据等等。护理数据表示的是对监测对象进行临床护理操作的相关数据，临床护理操作如吸痰、给药、擦身、喂养等，护理数据可以包括临床护理操作的发生时间等等。治疗数据表示的是与监测对象治疗过程相关 的数据，包括但不局限于以下几项内容，治疗药物信息如治疗药物名称、药物浓度及用药策略等、治疗操作信息如呼吸机进行机械通气等、诊断测试信息如被动抬腿试验等、病人状态评估如肺状态评估、心脏搭桥、急救心肺复苏等。
步骤1.2：根据监测对象的医疗数据，确定监测对象的体征状态。
其中，监测对象的医疗数据可以反映监测对象的体征状态，获得监测对象的医疗数据后，对医疗数据进行分析，以确定监测对象的体征状态。
具体地，获得的医疗数据可能包括一项，也可能包括多项。一项医疗数据可以认为是一种医疗数据，每项医疗数据在满足预定的触发条件后(触发条件与体征状态相关联)，则可以确定监测对象的体征状态具体为与该触发条件所对应的体征状态。
如果医疗数据有一项，那么该一项医疗数据所确定出的体征状态便是该监测对象最终的体征状态。如果医疗数据有多项，那么按照医学领域的判定规则对该多项体征状态进行综合评价，以确定监测对象最终的体征状态。一种具体的实现方式为，医疗设备内可以配置体征状态的判定规则，判定规则不仅可以规定，一项体征状态的认定，需要哪个或哪些项的医疗数据的体征状态，还可以将这些医疗数据的体征状态进行排列组合后，规定每一种排列组合结果所对应的最终体征状态是怎样的。
为了便于描述，上述确定出的最终体征状态也可以称为目标体征状态。目标体征状态也即本步骤所需要确定的体征状态。
在实际应用中，一种具体的应用场景为，获得某监测对象的三项生理数据，分别包括有呼吸率、血压、精神状态。其中呼吸对应有呼吸率过低、呼吸率正常、呼吸率过高三个体征状态，该三个体征状态分别对应有各自的触发条件，根据所获得的呼吸率达到哪个触发条件的要求，来确定监测对象的呼吸率处于哪个体征状态。同理，血压和精神状态也对应有各自的体征状态，根据各自的生理数据所达到的触发条件，来分别确定血压及精神状态各自所对应的体征状态。
假设该监测对象的呼吸率降低到一定程度、血压收缩压高于一定程度、且精神状态发生明显改变，则可以确定该监测对象的体征状态为疑似脓毒症。
在具体实施中，获得用户为监测对象选择的监测场景，其中监测场景关联一种或多种体征状态；获得监测对象当前的医疗数据，根据该医疗数据，从监测场景关联的体征状态中确定一种体征状态作为该监测对象当前的体征状 态。
更具体地，医疗设备可以提供若干个备选的监测场景，用户如医护人员可以根据监测对象的当前监测需求，选择与监测需求对应的监测场景。几种常见的监测场景例如日间手术、夜间手术、新生儿监测、恢复期患者的健康状态评估等等。
监测场景关联有医疗数据的判断规则，选择某个监测场景之后，就可以使用该监测场景关联的判断规则对医疗数据进行判断。监测场景所关联的体征状态，表示的是，在一监测场景下监测对象可能出现的体征状态。例如，在新生儿监测场景中，新生儿的体征状态可以包括：新生儿重症监护状态、新生儿亚重症监护状态和新生儿普通监护状态三种。又如，在日间部手术监测场景中，监测对象的体征状态可以包括手术诱导期、手术维持期及手术恢复期三种。需要说明的是，根据实际监测需求，监测场景设置相对应的关联的体征状态。
需要说明的是，监测场景所关联的判断规则中，会指定判断体征状态时所需要使用的医疗数据的类型，因此可以按照监测场景所关联的判断规则，来获得监测对象相对应类型的医疗数据。
不同的体征状态对应不同的触发条件，获得监测对象的医疗数据后，判断医疗数据达到哪个触发条件的要求，则可以确定监测对象的体征状态为该触发条件所对应的体征状态。
步骤1.3：根据体征状态，确定目标工作模式。
其中，医疗设备可以预先设置有工作模式库，预设工作模式库中包含多个工作模式，工作模式与体征状态具有对应关系。
体征状态与工作模式可以是一一对应的关系，即不同的体征状态对应不同的工作模式。或者体征状态与工作模式也可以是多对一的关系，即不同的体征状态可以对应相同的工作模式，也就是说，针对监测对象不同的体征状态，医疗设备所使用的工作模式可能是相同的。
在步骤1.2确定出监测对象的体征状态后，便可以在预设工作模式库中，确定与所述体征状态对应的工作模式，为了便于描述，可以将确定出的工作模式称为目标工作模式。
仍以上述示例为例，假设步骤1.2所确定出的体征状态为心脏骤停状态，可以理解的是，心脏骤停状态的病患需要进行心肺复苏操作，因此在预设工作模式库中，心脏骤停状态对应的工作模式为进行心肺复苏操作相关的工作模 式，依据该对应关系可以将该工作模式确定为目标工作模式。医疗设备执行该目标工作模式，便可以辅助医护人员对监测对象执行心肺复苏操作。
步骤1.4：执行目标工作模式。
其中，工作模式是对医疗设备工作内容的一个概括性描述。
在一种具体的实现方式中，工作模式可以限定医疗设备的界面显示以及工作流程两方面的内容，具体来讲，工作模式可以包括医疗设备的显示界面布局配置信息和/或医疗设备的工作流程配置信息。
显示界面布局配置信息用于表示医疗设备工作过程中所需要显示的界面中包括哪些参数项，以及这些参数项的布局是怎样的；工作流程配置信息用于表示医疗设备的工作过程包括哪些步骤，以及这些步骤的执行顺序是怎样的。
医疗设备执行目标工作模式，便可以实现对监测对象的监测，这种监测包括设备显示界面如何显示以及工作流程如何执行。
在另一具体的实现方式中，工作模式可以包括工作流集、工作流集所关联的工具集、工作流集中各个工作流执行的约束条件。
为了便于理解工作模式的执行，首先对工作流集、工作流、工具集、工具几个概念进行说明。
工作流集指的是工作流的集合，需要说明的是，工作流集合包括的工作流可以是多条，也可以是一条。工具集指的是应用工具的集合，需要说明的是，工具流集所关联的工具集中包含的应用工具可以是多项，也可以是一项。
工作流是用于实现医疗设备一项功能的基本流程，例如手术实施之前的诱导流程、手术实施过程中的维持流程、手术实施完成之后的复苏流程等等。工作流的执行过程中可能使用一些工具，这些工具即上述的应用工具。具体来讲，应用工具为医疗设备的工作流执行中可能使用到的实现某项具体功能的模块。例如应用工具包括，呼吸暂停分析模块、体征参数值分布统计模块、重症先天性心脏病筛查模块等等。
工作流及应用工具都可以认为是功能模块，一般都通过软件程序实现，不同之处在于，应用工具的执行依赖于工作流的执行，也就是说，某个工作流执行过程中可能会调用某一项或多项应用工具，以加载该应用工具所实现的功能。一项应用工具可能会被多条工作流调用，一项工作流也可能调用多项应用工具，两者是多对多的关系。
需要说明的是，工作流集所涉及的工作流及工具集所涉及的应用工具可以 预先存储在数据池中，数据池可以具体包括工作流池及工具池，工作流池中包含有医疗设备可能使用到的所有工作流，工具池中包含有医疗设备可能使用到的所有应用工具。
工作流集中的工作流执行是有约束条件的，这种约束条件既可以包括工作流与工作流之间的约束条件，也可以包括工作流与应用工具之间的约束关系。工作流与工作流之间的约束条件，可以具体表现为工作流先后执行顺序的约束条件；工作流与应用工具之间的约束关系，可以具体表现为工作流对应用工具的调用关系。
目标工作模式属于上述形式的工作模式中的一项，因此目标工作模式也可以表现为上述形式。基于这种形式的目标工作模式，执行目标工作模式的具体方式为：
按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
需要说明的是，医疗设备可以持续工作，如果根据医疗数据确定监测对象的体征状态发生了变化，则医疗设备可以自动将工作模块切换至变化后的体征状态相对应的工作模式。工作模块的切换在直观上的体现可以是，显示界面发生了变化，如监测参数布局的变化、监测参数类型的变化、监测参数个数的变化等等。
由以上技术方案可知，本申请提供了一种用于医疗设备的多工作模式设置方法，该方法可以获得监测对象的医疗数据，根据医疗数据可以确定监测对象的体征状态，进而在预设工作模式库中，选择与体征状态所对应的工作模式，并执行该工作模式，以实现医疗设备对监测对象的监测。相较于人工组合工作模式的方式，本申请提供的方式可以提高医疗设备的工作模式的设置效率，实现工作模式的自动化设置。
为了便于理解本申请的技术方案，以下提供以下几种应用场景进行说明。
一种应用场景是，医疗设备从病人所佩戴的腕带中获取病人身份信息，身份信息包括年龄，医疗设备根据年龄可以确定病人的体征状态为成人，则医疗设备开启成人监护模式。
又如一种应用场景是，医疗设备获得的医疗数据中包含病人的病史数据或诊断结果，对病史数据或诊断结果数据进行分析后确定病人的心脏状态异 常，则开启与心脏状态相关的工作模式，该工作模式具有心律失常分析功能。或者，医疗设备对病史数据或者诊断结果数据进行分析后确定病人的血压状态可能出现异常，则开始与血压状态相关的工作模式，该工作模式可以进行24小时动态血压监测，还可以统计病人白天或夜间血压整体状况。
再一种应用场景是，医疗设备可以从电子病历系统或者其他临床系统(如医嘱系统、护嘱系统等)获取病人的生理数据、治疗数据、护理数据等医疗数据。其中生理数据包括生化检验数据、抢救心肺复苏数据等；治疗数据包括呼吸机进行机械通气、药物使用、医生医嘱等，护理数据包括吸痰、病人清洁、翻身、进食等护理活动。医疗设备结合生理体征监测数据，进入某种适合该病人的工作模式。例如，假设根据生理体征监测数据及生化检查结果，判断病人有脓毒症问题，从而开启脓毒症治疗模式；又如，假设根据治疗数据确定病人正在接受呼吸机机械通气治疗，则医疗设备开启辅助通气监测模式。
本申请提供了用于医疗设备的多工作模式设置方法的另一种实现方式。如图2所示，该实现方式中包括数据输入模块21、模式决策模块22、模式加载模块23、模式执行模块24。
数据输入模块21，获得监测对象的医疗数据。
如图2所示，医疗数据可以具体包括：个人信息数据、生理数据、护理数据、治疗数据。其中个人信息数据包括人口信息(如年龄、性别、种族等)、家族病史、个人病史等，生理数据包括生理体征监测数据，生化检测数据，影像检查数据、临床观察数据等等。
模式决策模块22，根据医疗数据在决策字典中选择工作模式。
需要说明的是，具体的选择方式可以参见上述实施例中步骤1.2及步骤1.3中的说明，此处并不赘述。在本实施例中，决策字典可以认为是上述预设工作模式库的一种具体实现方式。如图2所示，决策字典中包含有若干个工作模式，工作模式可以具体由工作流集、工具集及约束条件三项内容表示。
约束条件可以包括工作流之间执行顺序的约束，如图2所示，在工作模式n的约束条件中，工作流集包括工作流2、工作流5及工作流9，先后执行顺序为工作流5、工作流3及工作流9。约束条件也可以包括工作流所关联的应用工具，如图2所示，在工作模式n的约束条件中，工作流2调用工具7；又如在工作模式1的约束条件中，工作流1调用工具1。约束条件也可以为空， 如图2所示，工作模式2的约束条件为无。
工作流集所涉及的工作流及工具集所涉及的应用工具可以预先存储在数据池中。数据池中的工作流池包含n条工作流，为了进行区分记录，可以为工作流添加数字序号标识，即工作流标记为工作流1、工作流2、工作流3……工作流n。数据池中的工具池包含n项工具，为了进行区分记录，可以为应用工具添加数字序号标识，即应用工具标记为工具1、工具2、工具3……工具n。
模式加载模块23，根据模式决策模块22所选择的工作模式从数据池中调用相关的工作流及应用工具。
模式执行模块24，执行模式加载模块23所调用的工作流，并在执行工作流过程中调用工作流关联的应用工具。需要说明的是，执行过程中需要按照约束条件的约束。
在持续工作过程中，如果模式决策模块22根据数据输入模块21所获得的医疗数据确定监测对象的体征状态发生了变化，则模式执行模块24可以自动将工作模块切换至变化后的体征状态相对应的工作模式。
针对上述结构的医疗设备，补充几点说明。第一，模式决策模块及模式加载模块可以存在于医疗设备内部，也可以存在于医疗设备之外，例如设置在网络服务器端、云服务端等。第二，决策字典内的工作模式可以进行编辑、新增及删除等处理操作。例如可以通过自学习的方式生成新的工作模式；又如可以接收外部对工作模式的处理指令，依据处理指令对工作模式进行处理操作。第三，数据池中的工作流及应用工具也可以执行上述处理操作。
以下通过几个具体的应用场景，对技术方案的实现进行举例说明。
应用场景一
如图3A所示，假设监测对象为新生儿，医护人员针对监测对象的特点，可以首先在医疗设备上选择新生儿监测场景。
预先对新生儿监测场景进行设置，设置信息指明需要采集哪些类型的医疗数据，来判断新生儿的体征状态。因此，根据新生儿监测场景的设置信息，医疗设备可以采集新生儿相对应类型的医疗数据，并根据医疗数据的具体内容来确定体征状态。
新生儿监测场景关联有两种体征状态，分别为新生儿重症监护状态和新生儿普通监护状态。针对新生儿监测场景，预设工作模式库中包含有与该监测场 景相对应的两种工作模式，如图3A所示，分别为：新生儿重症监护模式及新生儿普通监护模式。新生儿重症监护模式与新生儿重症监护状态对应，新生儿普通监护模式与新生儿普通监护状态对应。
其中，重症监护状态下，重症监护模式需要监测的医疗数据类型包括多种，例如包括心电、血氧、呼吸以及血压，因此重症监护模式也可以称为多参数监护模式；相较之下，普通监护状态下，普通监护模式需要监测的医疗数据类型较少，一般只包括血氧，因此普通监护模式也可以称为单参数监护模式。
新生儿重症监护模式及新生儿普通监护模式的具体形式可以表现为，包含工作流集、工作流集所关联的工具集、工作流执行所需的约束条件三项内容。
具体地，如图3A所示，新生儿重症监护模式下，工作流集具体包括一条工作流，即多参数监测工作流；该工作流集所关联的工具集包括四项，分别为呼吸暂停分析器、生理参数值分布统计模块、严重先天性心脏病筛查模块、出院评估模块；工作流执行所需的约束条件为无。
新生儿普通监护模式下，工作流集具体包括一条工作流，即单参数监测工作流；该工作流集所关联的工具集包括两项，分别为生理参数值分布统计模块、严重先天性心脏病筛查模块；工作流执行所需的约束条件为，进入模式时屏蔽其他类型医疗数据的监测。
工作流集所涉及的工作流及工具集所涉及的应用工具可以预先存储在数据池中。如图3A所示，数据池中的工作流池包含两条工作流，分别为：多参数监测工作流及单参数监测工作流。多参数监测工作流标记为工作流1，参数监测工作流标记为工作流2。数据池中的工具池包含四项应用工具，分别为：呼吸暂停分析器、生理参数值分布统计模块、严重先天性心脏病筛查模块、出院评估模块。四项应用工具分别标记为工具1、工具2、工具3及工具4。
以上是关于新生儿监测模式的一些预设信息的说明。
基于上述设置信息，在实际应用中，数据输入模块获得新生儿的医疗数据，模式决策模块根据医疗数据确定新生儿的体征状态后，在上述两种工作模式中确定与体征状态相对应的目标工作模式，模式加载模块从数据池中加载目标工作模式所需的工作流及应用工具，交由模式执行模块执行该目标工作模式。
需要说明的是，医疗设备可以持续工作，如果根据所采集到的医疗数据确定新生儿的体征状态发生了变化，则医疗设备可以自动切换至变化后的体征状态相对应的目标工作模式。
具体地，在确定到监测对象的体征状态由新生儿重症监护状态转变为新生儿普通监护状态时，则确定目标工作模式由新生儿重症监护模式切换为新生儿普通监护模式；或者进行相反的目标工作模式的切换。
工作模式切换后，医疗设备显示界面也随之发生变化。如果新生儿病情严重，医疗设备确定需要对新生儿执行重症监护模式，则显示界面上包括多个监测参数如心电、血氧、呼吸以及血压的测量数据，测量数据包括测量值及波形图。如果新生儿病情好转，医疗设备确定执行普通监护模式即可，则显示界面中，不再包含一些参数如心电、呼吸及血压的监测数据，仅提供血氧的相关监测数据。随着新生儿体征状态的变化，可以看出医疗设备的显示界面也发生了相应的变化。
以上应用场景中，以新生儿的两种体征状态为例，在其他应用场景中，其他监测对象的其他两种体征状态的变化也是同理。
例如，监测对象的体征状态包括病情监护状态和病情恢复状态，医疗设备的工作模式包括对应所述病情监护状态的病情监护模式，和对应所述病情恢复状态的病情恢复评估模式；则在确定到监测对象的体征状态由病情监护状态转变为病情恢复状态，则目标工作模式由病情监护模式切换为病情恢复评估模式。
其中病情监护状态与病情恢复状态是两种相对的体征状态，两种体征状态也可以相互变化。如果监测对象的病情加重，则体征状态由病情监护状态转变为病情恢复状态，反之也可。
工作模式的具体功能是根据监测对象的体征状态设置的。在病情监护状态下，临床上比较关注某些生理参数的异常情况，因此工作模式的具体功能可以包括，生理参数的实时监测、生理参数的趋势回顾、报警事件的回顾等。在病情恢复状态下，临床上更关注监测对象整体康复状况，因此工作模式的具体功能可以包括，进行病情评估，其中病情评估流程会屏蔽一些不重要的生理报警。
应用场景二
假设监测对象为需要进行手术的病人，医疗设备提供的监测场景选项中可以包括手术场景，医护人员针对该病人的特点，可以选择手术场景。
更具体地，如图3B所示，手术场景可以更具体地细分为住院部手术场景及日间手术场景。其中：住院部手术后的病人往往被送往重症监护病房，日间 手术后的病人往往可以观察后出院。相较于日间手术，住院部手术往往是大手术，手术时间较长，监测参数多且常伴有有创监测，如有创血压监测，麻醉方式以吸入式和静脉注射麻醉混合为主，少有单静脉注射方式。日间手术往往是小手术，持续时间较短，监测参数多以无创监测为主，麻醉方式以静脉注射为主，少有吸入式麻醉。
可以理解的是，工作模式中的工作流集、工具集及约束条件是根据手术场景的特点而相应设置的。因此在不同的手术场景中，医疗设备所执行的工作模式会有不同。例如，住院部手术场景对应的工作模式中，手术监测参数更多，诱导阶段监测时间更长，维持期监测的参数更多；住院部手术对应的工作模式中，需要判断病人复苏状态是否达到可以转移到重症监护病房的要求，而日间手术对应的工作模式中，判断病人复苏状态是否达到能够出院的要求。
另外，工作模式的具体形式可以表现为，工作流集、工作流集所关联的工具集、工作流执行所需的约束条件，工作模式的不同可以体现在以上三方面的不同。
如图3B所示，住院部手术场景对应的工作模式中，工具集包括：有创监测参数、动态短趋势图、插管指示器、计时器、麻醉平衡三角、三低状态指示器、复苏评分工具；但是日间手部场景对应的工作模式中，工具集包括不同的应用工具，分别为：动态短趋势图、计时器、术前基线标定工具、术后基线吻合比较器、离院评分工具。并且，由于工作流所关联的工具不同，则工作流执行的约束条件也有所不同。需要说明的是，工作流集所包含的工作流以及工具集所关联的应用工具都可以存储在数据池中，数据池的具体内容如图3B所示。
因此，如果医疗设备提供有更加详细的手术场景分类，则医护人员可以根据手术病人的特点选择具体的手术场景。
预先为手术场景进行设置，设置信息指明需要采集哪些类型的医疗数据，来判断病人的体征状态。因此，根据手术场景的设置信息，医疗设备可以采集病人相对应类型的医疗数据，并根据医疗数据的值来确定体征状态。
不论是住院部手术还是日间手术，监测场景均关联三种体征状态，分别为:体征状态包括手术诱导状态、手术维持状态及手术恢复状态。针对手术场景，预设工作模式库中包含有与该监测场景相对应的三种工作模式，分别为：手术诱导模式、手术维持模式及手术恢复模式。手术诱导模式对应手术诱导状态，手术维持模式对应手术维持状态，手术恢复状态对应手术恢复模式。
其中，手术诱导状态是病人在手术准备过程中出现的状态。手术准备内容包括给病人注射麻醉剂，此外还包括给病人插手术需要的导管等等其他内容。在注射麻醉剂后，检测病人的呼吸率是否达到一定要求，如果是，则表明病人进入手术诱导状态。
当病人的呼吸率达到另一要求如呼吸波形稳定，则说明病人麻醉剂发挥作用，可以进行手术，此时病人处于手术维持状态。当手术完成后，所采集到的体征参数能够表示病人意识已经恢复，则表示病人进入手术恢复状态。
以上是关于手术监测模式的一些预设信息的说明。
基于上述设置信息，在实际应用中，数据输入模块获得病人的医疗数据，模式决策模块根据医疗数据确定病人的体征状态后，在上述三种工作模式中确定与体征状态相对应的目标工作模式，模式加载模块从数据池中加载目标工作模式所需的工作流及应用工具，交由模式执行模块执行该目标工作模式。
医疗设备对病人的持续监护过程中，如果根据所采集到的医疗数据确定病人的体征状态发生了变化，则医疗设备可以自动切换至变化后的体征状态相对应的目标工作模式。
在确定到监测对象的体征状态为手术诱导状态，则确定目标工作模式为手术诱导模式；在确定到监测对象的体征状态由手术诱导状态转变为手术维持状态时，则确定目标工作模式由手术诱导模式切换为手术维持模式；在确定到监测对象的体征状态由手术维持状态转变为手术恢复状态时，则确定目标工作模式由手术维持模式切换为手术恢复模式。
在不同的手术工作模式中，包括不同的显示界面布局配置信息及不同的工作流程配置信息。具体地，手术诱导工作模式包括医疗设备在手术诱导期相关的显示界面布局配置信息和工作流程配置信息；手术维持工作模式包括医疗设备在手术维持期相关的显示界面布局配置信息和工作流程配置信息；手术恢复工作模式包括医疗设备在手术恢复期相关的显示界面布局配置信息和工作流程配置信息。
显示界面布局配置信息用于表示，显示界面布局是怎样的；工作流程配置信息用于表示工作流程包含的步骤及各个步骤之间的执行顺序。随着病人发生上述三种体征状态的变化，根据显示界面布局配置信息的不同，则医疗设备的显示界面内容也会发生直观的变化。
例如，在住院部手术监测场景下，病人进入手术诱导状态，医疗设备会执 行手术诱导工作模式，从而显示界面中包含插管指示器，提示医疗人员对病人进行插管操作。病人由手术诱导状态进入手术维持状态，医疗设备会执行手术维持工作模式，显示界面的变化包括，去除插管指示器，增加麻醉平衡三角以及三低状态指示器。病人由手术维持状态进入手术恢复状态，医疗设备会执行手术恢复工作模式，显示界面的变化包括，去除麻醉平衡三角以及三低状态指示器，增加复苏评分工具。
又如，在日间手术监测场景下，病人进入手术诱导状态，医疗设备的显示界面中会包含术前基线标定工具；病人由手术诱导状态进入手术维持状态，显示界面的变化包括，去除术前基线标定工具；病人由手术维持状态进入手术恢复状态，显示界面的变化包括，增加术后基线吻合比较器以及离院评分工具。
可见，随着病人体征状态的变化，医疗设备会自动切换对应的工作模式，提高了医疗设备的工作效率。随着工作模式的切换，用户可以直观地查看到显示界面的变化。
需要说明的是，如图3B所示，三种具体的工作模式可以作为工作流包含在住院部手术及日间手术两种较大的监测场景中。医疗设备在确定使用两种监测场景中的哪一种监测场景之后，可以执行与该监测场景对应的工作模式，且在工作模式的执行过程中，会根据病人体征状态的变化，在三种不同的工作流之间进行切换。
本申请还提供了一种用于医疗设备的多工作模式设置方法，该方法可以根据用户输入的设置指令，来执行相应的工作模式。
见图4，其示出了该用于医疗设备的多工作模式设置方法的流程，具体包括步骤4.1-步骤4.3。
步骤4.1：获得工作模式设置指令。
其中，医疗设备可以提供输入模块，用户可以通过输入模块输入工作模式的设置指令。
例如，将医疗设备的显示屏设置为触控屏，显示屏可以提供预设工作模式库所包含的各个工作模式的备选项，以供用户进行选择。响应于用户选择某个工作模式的操作，医疗设备便生成该工作模式的设置指令。
步骤4.2：依据设置指令，确定目标工作模式。
具体地，预设工作模式库中包含多个工作模式，设置指令可以指明用户 所选择的工作模式为哪个工作模式，因此依据设置指令，在预设工作模式库中确定与设置指令对应的工作模式，所确定的工作模式可以称为目标工作模式。
另外，工作模式包括医疗设备的显示界面布局配置信息和/或医疗设备的工作流程配置信息。
步骤4.3：执行目标工作模式。
其中，工作模式包括工作流集、工作流集所关联的工具集、工作流集中各个工作流执行的约束条件。基于此，目标工作模式的执行方式为，按照目标工作模式的工作流集中各个工作流执行的约束条件，依次执行各个工作流，并在执行各个工作流的过程中，调用工作流所关联的工具。
需要说明的是，有关本实施例的说明可以参见上述相关内容，此处并不赘述。
本申请又提供了一种用于医疗设备的多工作模式设置方法，该方法中医疗设备连接有其他医疗设备，该医疗设备可以根据其他医疗设备的参数设置信息，来设置自身的工作模式。
见图5，其示出了该用于医疗设备的多工作模式设置方法的流程，具体包括步骤5.1-步骤5.3。
步骤5.1：读取其他医疗设备的医疗参数设置信息。
其中，为了便于区分，可以将本方法所用于的医疗设备可以称为目标医疗设备。临床中，监测对象可能还连接有其他医疗设备，其他医疗设备可以包括医疗系统。需要说明的是，监测对象所连接的其他医疗设备可以是一台，也可以包括多台。
具体地，其他医疗设备可以包括测量设备、监护设备、治疗设备中的任意一项或多项。其中治疗设备包括但不局限于，体外循环机、呼吸机、麻醉机、除颤仪中的一种或多种。
其他医疗设备可以对监测对象实施测量、监护、治疗等功能。例如手术过程中，病人的心脏功能被动暂时中断，则需要体外循环机提供心脏相关的功能支持；又如，除颤仪可以为心率异常的病人进行除颤操作，以使病人心率恢复正常。
其他医疗设备会包含医疗参数设置信息，在其他医疗设备具体为治疗设备的情况下，医疗参数设置信息具体为治疗参数设置信息。
医疗参数设置信息用于指示其他医疗设备对监测对象的医疗方式和/或医 疗目的等。例如，除颤仪的医疗方式可以包括三种医疗模式，分别为起搏模式、自动除颤模式及手动除颤模式。
读取与目标医疗设备连接的其他医疗设备的医疗参数设置信息，便可以确定出其他医疗设备当前对监测对象所实施的医疗手段的情况。
步骤5.2：将工作模式设置为与医疗参数设置信息相对应的目标工作模式。
其中，对于医疗设备所提供的不同医疗手段，目标医疗设备所提供的工作模式也是不同的。以除颤仪的三种医疗模式为例。如果除颤仪工作在起搏模式下，则需要将目标医疗设备的滤波模块设置为与心脏起搏模式相对应的方式；如果除颤器工作在手动除颤模式下，则需要将目标医疗设备的滤波模块设置为与手动除颤模式对应的方式；如果除颤仪工作在自动除颤模式下，则需要将目标医疗设备的滤波模块设置为与自动除颤模式相对应的方式。
医疗参数设置信息可以反映医疗手段的情况，因此可以预先设置医疗参数设置信息与工作模式的对应关系。
获取到其他医疗设备的医疗参数设置信息之后，根据该对应关系，便可以确定目标工作模式。目标工作模式可以用于反映医疗参数的医疗效果。
步骤5.3：执行目标工作模式。
需要说明的是，有关本实施例的说明可以参见上述相关内容，此处并不赘述。
本申请又提供了一种用于医疗设备的多工作模式设置方法，该方法可以直接根据所采集到的生理体征参数，来设置医疗设备的工作模式。
见图6，其示出了该用于医疗设备的多工作模式设置方法的流程，具体包括步骤6.1-步骤6.4。
步骤6.1：检测生理体征参数采集装置接入到医疗设备。
其中，医疗设备可以连接生理体征参数采集装置，生理体征参数采集装置可以采集监测对象的实时生理体征参数。医疗设备检测到与生理体征参数采集装置的连接信号，便可以确定接入了生理体征参数采集装置。
生理体征参数采集装置的个数可以是一个，也可以是多个，种类可以是一种，也可以是多种。
步骤6.2：确定生理体征参数采集装置所采集的生理体征参数的参数类型。
其中，不同种类的生理体征参数采集装置用于采集不同类型的生理体征参数，例如血氧采集器可以采集监测对象的血氧值，血压仪可以采集监测对象 的血压值。根据所连接的生理体征参数采集装置的类型，便可以确定出其所采集的生理体征参数的类型。
步骤6.3：确定与生理体征参数的参数类型对应的目标工作模式。
其中，不同类型的生理体征参数可能需要医疗设备提供不同类型的工作模式。例如，医疗设备连接到血氧采集器的信号，说明有对监测对象进行血氧测量的需求，则医疗设备上需要出现与血氧测量相关的显示界面；同理，医疗设备连接到血压仪的信号，则医疗设备上需要出现与血压测量相关的显示界面。又如，医疗设备检测到设备自身建立有两个血氧测量通道，则医疗设备显示双血氧监测界面；医疗设备检测到设备自身建立有两个无创血压测量通道，则医疗设备显示双通道无创血压监测界面。
在实际应用中，可以预先设置生理体征参数的参数类型与工作模式的对应关系。在步骤6.2确定参数类型后，根据该对应关系确定工作模式，所确定的工作模式即本步骤中的目标工作模式。其中目标工作模式包括医疗设备的显示界面布局设置信息和/或医疗设备的工作流程设置信息。
确定目标工作模式的一种具体方式包括，基于确定的生理体征参数的参数类型自动生成与之匹配的界面布局和/或报警配置。也就是说，生理体征参数的参数类型不同，则所生成的界面布局和/或报警配置也可能是不同的。
举例对工作模式中界面布局的变化进行说明。
例如，生理体征参数为一个，则界面布局为单参界面布局，在该界面布局中，生理体征参数可以使用大字体显示；生理体征参数为多个，则界面布局为多参界面布局，在该界面布局中，生理体征参数按布局显示，且布局中某些生理体征参数以相对突出的方式显示，剩余生理体征参数以相对普通的方式显示。
结合具体应用场景对工作模式中报警配置的变化进行说明。
例如，病人处于手术过程中，医疗设备确定需要执行的工作模式为手术维持工作模式。在手术维持工作模式中，医疗设备可能监测到报警信息。
报警可以分为两种，生理报警及技术报警。其中生理报警是由于监测到的生理体征参数的异常导致的报警；技术报警，指的是由于监测信号中断或者监测到干扰信号导致的报警。例如，病人在手术过程中，使用监护仪对病人进行监护，手术操作可能使用电刀，电刀相关的信号会对监护仪产生干扰，进而监护仪会发生报警，这个报警即技术报警。
技术报警的存在，可能会导致生理报警的错误。因此，如果医疗设备监测到技术报警，且所执行的工作模式中包含生理报警，则可以删除该工作模式中该生理报警的相关信息，相关信息如生理报警的检测工作流信息以及生理报警的界面显示信息，从而使工作模式的报警配置自动与当前情况相适配。
现有技术中，医疗设备接入生理体征参数采集装置之后，不管传感器采集的生理体征参数为何种类型，都需要人工选择界面布局中需要哪些生理体征参数，不够自动化。与现有技术相比，本实施例提供的方法，使得医疗设备可以自动匹配相关的界面布局和/或报警配置。
步骤6.4：执行目标工作模式。
需要说明的是，有关本实施例的说明可以参见上述相关内容，此处并不赘述。
在上述实施例提供的步骤基础上，还可以包括：工作模式关于生理体征参数中断的处理。
具体地，监测到某一生理体征参数采集装置所采集的生理体征参数的信号中断，则确定生理体征参数的信号中断原因；若信号中断原因为正常原因，则在目标工作模式中删除某一生理体征参数采集装置所采集的生理体征参数对应的展示界面和/或工作流程。
例如，在对病人实施医疗手段时，医护人员可能主动将病人身体连接的血氧采集器拆除，此时医疗设备监测到血氧采集器所采集的血氧信号中断。但是，该信号中断原因属于正常原因，医护人员可以输入信号中断的原因指令，以指示医疗设备该信号中断原因为正常原因。医疗设备根据该原因指令，可以在目标工作模式中删除血氧参数对应的展示界面和/或工作流程。
另外，本申请提供了一种医疗设备，该医疗设备可以实现多个工作模式的自动切换。具体地，该医疗设备包括：存储器及处理器。
存储器，预先存储多种工作模式，其中所述工作模式包含若干工作流程、工作流程所关联的工具、工作流程执行的约束关系；
处理器，若所述医疗设备的工作状态满足切换条件则在所述多种工作模式之中进行切换，在执行切换后的工作模式时，按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
再者，本申请提供了另一种医疗设备，该医疗设备包括：存储器及处理器。
存储器，存储程序指令；
处理器，执行程序指令以实现上述任意一种用于医疗设备的多工作模式设置方法的步骤。
前述用于执行各个步骤的各个单元或模块中的每一个可以存储在一个或多个前述存储器中，而上述实施例中分别用于实现前述的监护仪或监护系统中，其中各个功能模块中包括每一个用于执行上述方法中相应步骤的指令集，上述模块或程序(即指令集)不需要时限为分立软件程序、过程或模块，因此，在各个实施例中可以组合或重新安排这些模块的各个子块，因此，在本发明的一些实施例中存储器可以存储如上所述的模块或数据结构的子集。
当医疗设备为监护仪时，监护仪的一个具体示例如图7所示。图7提供了一种多参数监护仪中参数处理模块的系统框架图。
多参数监护仪具有独立的外壳，外壳面板上具有传感器接口区，其中集成了多个传感器接口，用于与外部的各个生理体征参数传感器附件711连接，外壳面板上还包括小型IXD显示器区，显示器718，输入接口电路720和报警电路719(如LED报警区)等。参数处理模块用于与主机进行通讯和从主机取电的对外通讯和电源接口。参数处理模块还支持外插参数模块，可以通过插入参数模块形成插件式监护仪主机，作为监护仪的一部分，也可以通过电缆与主机连接，外插参数模块作为监护仪外置的一个配件。另外，多参数监护仪包括存储器717，用于存储计算机程序及相关监测过程中产生的各种数据。
参数处理模块的内部电路置于外壳内，如图7所示，包括至少两个生理体征参数对应的信号采集电路712、前端信号处理电路713和主处理器715。
主处理器715可以实现上述各个监护信息显示方法中与处理相关的各个步骤。
信号采集电路712可以选自于心电电路、呼吸电路、体温电路、血氧电路、无创血压电路、有创血压电路等等，这些信号采集电路712分别与相应的传感器接口电连接，用于电连接到不同的生理体征参数对应的传感器附件711，其输出端耦合到前端信号处理器，前端信号处理器的通讯口耦合到主处理器，主处理器与对外通讯和电源接口电连接。
各种生理体征参数测量电路可采用现有技术中的通用电路，前端信号处理器完成信号采集电路输出信号的采样和模数转换，并输出控制信号控制生理信 号的测量过程，这些参数包括但不限于：心电，呼吸，体温，血氧，无创血压和有创血压参数。
前端信号处理器可采用单片机或其它半导体器件实现，也可以采用ASIC或FPGA实现。前端信号处理器可由隔离电源供电，采样得到的数据经过简单处理打包后，通过隔离通讯接口发送至主处理器，例如前端信号处理器电路可以通过隔离电源和通讯接口714耦合到主处理器715上。
前端信号处理器由隔离电源供电的原因是通过变压器隔离的DC/DC电源，起到了隔离患者与供电设备的作用，主要目的是：1、隔离患者，通过隔离变压器，将应用部分浮地，使患者漏电流足够小；2、防止除颤或电刀应用时的电压或能量影响主控板等中间电路的板卡及器件(用爬电距离和电气间隙保证)。
主处理器完成生理体征参数的计算，并通过对外通讯和电源接口将参数的计算结果和波形发送到主机(如带显示器的主机、PC机、中央站等等)，对外通讯和电源接口716可以是以太网(Ethernet)、令牌环(Token Ring)、令牌总线(Token Bus)以及作为这三种网的骨干网光纤分布数据接口(FDDI)构成的局域网接口中的一个或其组合，还可以是红外、蓝牙、wifi、WMTS通讯等无线接口中的一个或其组合，或者还可以是RS232、USB等有线数据连接接口中的一个或其组合。
对外通讯和电源接口716也可以是无线数据传输接口和有线数据传输接口中的一种或两种的组合。主机可以是监护仪的主机、心电图机，超声诊断仪，计算机等任何一个计算机设备，安装配合的软件，就能够组成一个监护设备。主机还可以是通讯设备，例如手机，参数处理模块通过蓝牙接口将数据发送到支持蓝牙通讯的手机上，实现数据的远程传输。
另外，本申请提供了一种可读存储介质，其上存储有计算机程序，计算机程序被处理器加载并执行时，实现上述任意一种用于医疗设备的多工作模式设置方法。
本文参照了各种示范实施例进行说明。然而，本领域的技术人员将认识到，在不脱离本文范围的情况下，可以对示范性实施例做出改变和修正。例如，各种操作步骤以及用于执行操作步骤的组件，可以根据特定的应用或考虑与系统的操作相关联的任何数量的成本函数以不同的方式实现(例如一个或多个步骤可以被删除、修改或结合到其他步骤中)。
本文的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同的对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法或设备固有的其他步骤或单元。
另外，如本领域技术人员所理解的，本文的原理可以反映在计算机可读存储介质上的计算机程序产品中，该可读存储介质预装有计算机可读程序代码。任何有形的、非暂时性的计算机可读存储介质皆可被使用，包括磁存储设备(硬盘、软盘等)、光学存储设备(CD-ROM、DVD、Blu Ray盘等)、闪存和/或诸如此类。这些计算机程序指令可被加载到通用计算机、专用计算机或其他可编程数据处理设备上以形成机器，使得这些在计算机上或其他可编程数据处理装置上执行的指令可以生成实现指定的功能的装置。这些计算机程序指令也可以存储在计算机可读存储器中，该计算机可读存储器可以指示计算机或其他可编程数据处理设备以特定的方式运行，这样存储在计算机可读存储器中的指令就可以形成一件制造品，包括实现指定功能的实现装置。计算机程序指令也可以加载到计算机或其他可编程数据处理设备上，从而在计算机或其他可编程设备上执行一系列操作步骤以产生一个计算机实现的进程，使得在计算机或其他可编程设备上执行的指令可以提供用于实现指定功能的步骤。
前述具体说明已参照各种实施例进行了描述。然而，本领域技术人员将认识到，可以在不脱离本披露的范围的情况下进行各种修正和改变。因此，对于本披露的考虑将是说明性的而非限制性的意义上的，并且所有这些修改都将被包含在其范围内。同样，有关于各种实施例的优点、其他优点和问题的解决方案已如上所述。然而，益处、优点、问题的解决方案以及任何能产生这些的要素，或使其变得更明确的解决方案都不应被解释为关键的、必需的或必要的。本文中所用的术语“包括”和其任何其他变体，皆属于非排他性包含，这样包括要素列表的过程、方法、文章或设备不仅包括这些要素，还包括未明确列出的或不属于该过程、方法、系统、文章或设备的其他要素。此外，本文中所使用的术语“耦合”和其任何其他变体都是指物理连接、电连接、磁连接、光连接、通信连接、功能连接和/或任何其他连接。
以上实施例仅表达了几种实施方式，其描述较为具体和详细，但并不能因 此而理解为对本发明专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干变形和改进，这些都属于本发明的保护范围。因此，本发明专利的保护范围应以所附权利要求为准。

Claims (22)

  1. 一种用于医疗设备的多工作模式设置方法，其特征在于，包括：
    获得监测对象的医疗数据；
    根据所述医疗数据，确定所述监测对象的体征状态；
    在预设工作模式库中，确定与所述体征状态对应的目标工作模式；其中所述预设工作模式库中包含多个工作模式，所述工作模式与所述体征状态具有对应关系；
    执行所述目标工作模式。
  2. 根据权利要求1所述的方法，其特征在于，所述医疗数据包括以下几项中的任意一项或多项：所述监测对象的个人信息数据，生理数据、护理数据、治疗数据。
  3. 根据权利要求1所述的方法，其特征在于，获得监测对象的医疗数据，包括以下几种方式中的任意一种或多种：
    从监测对象的穿戴设备中读取所述监测对象的医疗数据；
    从电子病历系统中查找所述监测对象对应的医疗数据；
    从生理体征参数采集装置采集的生理体征参数的信号中识别得到；
    接收用户输入的关于所述监测对象的医疗数据。
  4. 根据权利要求1所述的方法，其特征在于，所述体征状态包括新生儿重症监护状态和新生儿普通监护状态，所述工作模式包括对应所述新生儿重症监护状态的新生儿重症监护模式，和对应所述新生儿普通监护状态的新生儿普通监护模式；所述方法还包括：
    在确定到所述监测对象的体征状态由新生儿重症监护状态转变为新生儿普通监护状态时，则确定所述目标工作模式由新生儿重症监护模式切换为新生儿普通监护模式；
    或者，所述体征状态包括病情监护状态和病情恢复状态，所述工作模式包括对应所述病情监护状态的病情监护模式，和对应所述病情恢复状态的病情恢复评估模式；所述方法还包括：
    在确定到所述监测对象的体征状态由病情监护状态转变为病情恢复状态，则确定所述目标工作模式由病情监护模式切换为病情恢复评估模式。
  5. 根据权利要求1所述的方法，其特征在于，所述体征状态包括手术诱导状态、手术维持状态及手术恢复状态，所述工作模式包括对应所述手术诱导 状态的手术诱导模式，对应所述手术维持状态的手术维持模式以及对应所述手术恢复状态的手术恢复模式；所述方法还包括：
    在确定到所述监测对象的体征状态为手术诱导状态，则确定所述目标工作模式为手术诱导模式；其中所述手术诱导工作模式包括医疗设备在手术诱导期相关的显示界面布局配置信息和工作流程配置信息；
    在确定到所述监测对象的体征状态由手术诱导状态转变为手术维持状态时，则确定所述目标工作模式由手术诱导模式切换为手术维持模式；其中所述手术维持工作模式包括医疗设备在手术维持期相关的显示界面布局配置信息和工作流程配置信息；
    在确定到所述监测对象的体征状态由手术维持状态转变为手术恢复状态时，则确定所述目标工作模式由手术维持模式切换为手术恢复模式；其中所述手术恢复工作模式包括医疗设备在手术恢复期相关的显示界面布局配置信息和工作流程配置信息。
  6. 根据权利要求1所述的方法，其特征在于，根据所述医疗数据，确定所述监测对象的体征状态，包括：
    获得用户为所述监测对象选择的监测场景，其中所述监测场景关联一种或多种体征状态；
    基于所述医疗数据，从所述监测场景关联的体征状态中确定其中之一作为当前所述监测对象的体征状态。
  7. 根据权利要求1所述的方法，其特征在于，所述工作模式包括医疗设备的显示界面布局配置信息和/或医疗设备的工作流程配置信息。
  8. 根据权利要求1所述的方法，其特征在于，所述工作模式包括工作流集、工作流集所关联的工具集、工作流集中各个工作流执行的约束条件；所述执行所述目标工作模式的步骤，包括：
    按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
  9. 根据权利要求1所述的方法，其特征在于，还包括：
    接收对工作模式的处理指令，所述处理指令包括以下几项中的任意一项或多项：编辑、新增及删除；
    依据所述处理指令，对工作模式进行处理操作。
  10. 一种用于医疗设备的多工作模式设置方法，其特征在于，包括：
    获得用户所输入的工作模式设置指令；
    依据所述设置指令，在预设工作模式库中确定与所述设置指令对应的目标工作模式；其中，所述预设工作模式库中包含多个工作模式，所述工作模式包括医疗设备的显示界面布局配置信息和/或医疗设备的工作流程配置信息；
    执行所述目标工作模式。
  11. 根据权利要求10所述的方法，其特征在于，所述工作模式包括工作流集、工作流集所关联的工具集、工作流集中各个工作流执行的约束条件；所述执行所述目标工作模式的步骤，包括：
    按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
  12. 一种用于医疗设备的多工作模式设置方法，其特征在于，包括：
    读取与所述设备连接的其他医疗设备的医疗参数设置信息；
    将工作模式设置为与所述医疗参数设置信息相对应的目标工作模式；其中所述目标工作模式用于反映医疗参数的医疗效果；
    执行所述目标工作模式。
  13. 根据权利要求12所述的方法，其特征在于，所述工作模式包括医疗设备的显示界面布局配置信息和/或医疗设备的工作流程配置信息。
  14. 根据权利要求12所述的方法，其特征在于，医疗设备具体为具有治疗功能的设备，所述参数设置信息具体为治疗参数设置信息。
  15. 根据权利要求12所述的方法，其特征在于，所述工作模式包括工作流集、工作流集所关联的工具集、工作流集中各个工作流执行的约束条件；所述执行所述目标工作模式的步骤，包括：
    按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
  16. 一种用于医疗设备的多工作模式设置方法，其特征在于，包括：
    检测生理体征参数采集装置接入到所述医疗设备；
    确定生理体征参数采集装置所采集的生理体征参数的参数类型；
    确定与所述生理体征参数的参数类型对应的目标工作模式；其中所述目 标工作模式包括医疗设备的显示界面布局设置信息和/或医疗设备的工作流程设置信息；
    执行所述目标工作模式。
  17. 根据权利要求16所述的方法，其特征在于，所述工作模式包括工作流集、工作流集所关联的工具集、工作流集中各个工作流执行的约束条件；所述执行所述目标工作模式的步骤，包括：
    按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
  18. 根据权利要求16所述的方法，其特征在于，还包括：
    监测到某一生理体征参数采集装置所采集的生理体征参数的信号中断，则确定所述生理体征参数的信号中断原因；
    若所述信号中断原因为正常原因，则在所述目标工作模式中删除所述某一生理体征参数采集装置所采集的生理体征参数对应的展示界面和/或工作流程。
  19. 根据权利要求16所述的方法，其特征在于：确定与所述生理体征参数的参数类型对应的目标工作模式包括：基于确定的生理体征参数的参数类型自动生成与之匹配的界面布局和/或报警配置。
  20. 一种医疗设备，其特征在于，包括：
    存储器，预先存储多种工作模式，其中所述工作模式包含若干工作流程、工作流程所关联的工具、工作流程执行的约束关系；
    处理器，若所述医疗设备的工作状态满足切换条件则在所述多种工作模式之中进行切换，在执行切换后的工作模式时，按照工作流集中各个工作流执行的约束条件，依次执行所述各个工作流，并在执行所述各个工作流的过程中，调用所述工作流所关联的工具。
  21. 一种医疗设备，其特征在于，包括：
    存储器，所述存储器存储程序指令；
    处理器，所述处理器执行程序指令以实现权利要求1-19任意一项所述的用于医疗设备的多工作模式设置方法的步骤。
  22. 一种可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器加载并执行时，实现上述权利要求1-19任意一项所述的用 于医疗设备的多工作模式设置方法。
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