CN115881256A - Offline evaluation method and device - Google Patents

Abstract

An off-line assessment method and apparatus, the method comprising implementing, by a processor, the following: acquiring a plurality of medical data of a medical object, wherein each of the plurality of medical data respectively corresponds to a medical data source, and the number of the medical data sources is at least two; acquiring at least two off-line evaluation indexes, wherein each off-line evaluation index corresponds to at least one type of medical data; determining an offline evaluation parameter corresponding to each offline evaluation index according to the at least two offline evaluation indexes and the medical data corresponding to each offline evaluation index; determining an offline evaluation result corresponding to the medical object based on at least two offline evaluation parameters; displaying the offline evaluation result on a display. The invention integrates various medical data to generate an offline evaluation result, and is beneficial to medical staff to carry out offline evaluation more efficiently and accurately.

Description

Offline evaluation method and device

Technical Field

The present application relates to the field of monitoring, and more particularly, to an offline evaluation method and apparatus.

Background

Patients who are mechanically ventilated, especially patients who are mechanically ventilated for a long time, are prone to have a certain dependence on the ventilator. Moreover, due to the long mechanical ventilation, the patient's own respiratory capacity deteriorates, with the corresponding respiratory muscles atrophy. Diaphragm is the main respiratory muscle, and prolonged mechanical ventilation may cause atrophy and dysfunction of contraction of the diaphragm.

How to reasonably take a mechanically ventilated patient off-line is a clinical problem which is difficult to solve, and a determined guide index is not yet available. The current guidance indexes generally comprise physical sign measurement values, breathing machine parameters, biochemical indexes, subjective evaluation indexes and the like. Reference indicators vary from clinician to clinician. Because the guide indexes are numerous and mainly depend on the subjective judgment of a clinician, the problems of low offline efficiency and high risk are always puzzled to the clinician.

Disclosure of Invention

In this summary, concepts in a simplified form are introduced that are further described in the detailed description. This summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

An aspect of an embodiment of the present invention provides an offline evaluation method, where the method includes implementing, by a processor, the following processes:

acquiring a plurality of medical data of a medical object, wherein each of the plurality of medical data respectively corresponds to a medical data source, and the number of the medical data sources is at least two;

acquiring at least two off-line evaluation indexes, wherein each off-line evaluation index corresponds to at least one type of medical data;

determining an offline evaluation parameter corresponding to each offline evaluation index according to the at least two offline evaluation indexes and the medical data corresponding to each offline evaluation index;

determining an offline evaluation result corresponding to the medical object based on at least two of the offline evaluation parameters;

displaying the offline evaluation result on a display.

In one embodiment, the medical data includes at least two of:

vital sign parameters, ventilation parameters, diaphragm parameters, consciousness score, blood gas indices, and ultrasound data of the medical subject.

In one embodiment, the displaying the offline evaluation results on a display includes:

receiving first display settings applied to the display, the first display settings including offline information display settings and offline evaluation display settings;

displaying the at least two off-line evaluation indexes and corresponding off-line evaluation parameters according to the off-line information display setting;

displaying an offline evaluation result generated based on the plurality of offline evaluation parameters according to the offline evaluation display setting.

In one embodiment, the displaying the at least two offline evaluation indicators and the corresponding offline evaluation parameters according to the offline information display setting includes:

obtaining a second display setting of the offline information display setting, the second display setting comprising a plurality of offline information display units;

within each offline information display unit, a set of associated offline evaluation metrics and offline evaluation parameters is displayed.

In one embodiment, the offline information display unit comprises an offline evaluation tag, wherein the offline evaluation tag is used for identifying whether the offline evaluation parameter corresponding to the current offline information display unit represents that the medical object is in a safe offline range;

determining a corresponding off-line evaluation result of the medical subject based on at least two of the off-line evaluation parameters, including

And determining an offline evaluation result corresponding to the medical object based on each offline evaluation index and the corresponding offline evaluation label.

In one embodiment, the offline evaluation tab is provided within or in association with the offline information display unit, and the offline evaluation tab is displayed in a form different from that of the offline information display unit.

In one embodiment, the displaying offline evaluation results generated based on the plurality of offline evaluation parameters according to the offline evaluation display settings comprises:

displaying the offline evaluation parameters corresponding to the at least two offline evaluation indexes according to the offline evaluation display setting; and/or (c) and/or,

and displaying an offline evaluation result obtained after offline evaluation processing is performed on the offline evaluation parameters corresponding to the at least two offline evaluation indexes according to the offline evaluation display setting, wherein the offline evaluation result is displayed in a graphic or digital or text form.

In one embodiment, the method further comprises, by the processor:

receiving an assessment instruction for off-line assessment of the medical subject; the evaluation instruction is triggered by user selection or a preset instruction;

acquiring at least two off-line evaluation indexes according to the evaluation instruction, and screening out corresponding medical data from the multiple medical data;

and generating an offline evaluation result corresponding to the evaluation instruction based on the screened medical data.

In one embodiment, the evaluation instruction includes at least two evaluation points;

the displaying the offline evaluation result on the display comprises:

and displaying the off-line evaluation result corresponding to each evaluation point on the same screen according to the time trend.

In one embodiment, the display form of the offline information display setting or the offline evaluation display setting includes at least one of a spider-web graph, a bar graph, and a table.

In one embodiment, the method further comprises:

in response to a user instruction from a user to select any at least one of the at least two offline information display units, medical data corresponding to the selected offline information display unit is displayed in a medical data display area of the display.

In one embodiment, the determining an offline evaluation parameter corresponding to each offline evaluation index according to the at least two offline evaluation indexes and the medical data corresponding to each offline evaluation index comprises:

judging whether the life medical information of the patient represented by the medical data corresponding to the current off-line evaluation index meets the off-line requirement or not according to each off-line evaluation index and the corresponding medical data, and generating a corresponding off-line evaluation result;

and associating each off-line evaluation index with the corresponding medical data and off-line evaluation result to form an off-line evaluation parameter corresponding to the off-line evaluation index.

In one embodiment, the method further comprises:

normalizing the medical data to obtain an offline evaluation parameter of the medical object subjected to normalization processing on each offline evaluation index;

determining an offline evaluation result of the medical object based on each offline evaluation parameter subjected to the normalization processing.

In one embodiment, the medical data is a vital sign parameter or a medical parameter of the medical subject during ventilation,

or the medical data is the vital sign parameters or the medical parameters of the medical subject within a preset time range after the medical ventilation device is offline.

In one embodiment, the obtaining at least two off-line assessment indicators includes:

if an index selection instruction from a user is received, determining a corresponding offline evaluation index according to the index selection instruction to perform offline evaluation on the medical object;

and otherwise, taking a preset offline evaluation index as the determined offline evaluation index to perform offline evaluation on the medical object.

In one embodiment, the displaying the offline evaluation result on a display comprises:

receiving a third display setting applied to the display, the third display setting comprising a time display area and a parameter display area, the parameter display area comprising a first data display area and a second data display area; a time shaft is arranged in the time display area;

displaying a trend curve of the medical data corresponding to the at least two off-line evaluation indexes along the time axis in the first data display area;

and displaying the medical data corresponding to the at least two off-line evaluation indexes at the current moment in the first and second data display areas.

In one embodiment, the displaying the offline evaluation result on the display further comprises:

displaying an event label on the timeline; the event tag is used for marking a medical event related to the medical object on the timeline; the medical event includes at least one of medical sample analysis, medical image detection, vital sign monitoring, and offline evaluation.

In one embodiment, the method further comprises:

implementing, by a processor, the following:

receiving an operation instruction of a user for selecting any time point on the time axis;

and if the time point selected by the operation instruction has an event label, displaying the corresponding medical event on the display.

Another aspect of an embodiment of the present invention provides an offline evaluation apparatus, which includes a memory, a processor, and a display;

the memory is for storing a plurality of medical data of a medical subject, the plurality of medical data including data acquired from at least two sources;

the processor is used for executing the off-line evaluation method to obtain an off-line evaluation result;

the processor is further configured to control the display to display the offline evaluation result.

The off-line evaluation method and the off-line evaluation device of the embodiment of the invention integrate medical data from multiple sources, carry out off-line evaluation by combining with corresponding off-line evaluation indexes, comprehensively consider influence factors possibly existing in the off-line process of the medical object, and enable the off-line process of the medical object to be more accurate, safer and more efficient.

Drawings

The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail embodiments of the present invention with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings, like reference numbers generally represent like parts or steps.

FIG. 1 shows a schematic flow diagram of an offline evaluation method according to an embodiment of the invention;

FIG. 2 shows a schematic diagram showing the results of an off-line evaluation by a spider graph according to one embodiment of the present invention;

FIG. 3 illustrates a schematic diagram showing the results of an offline evaluation by a histogram, in accordance with one embodiment of the present invention;

FIG. 4 shows a schematic diagram showing the results of an off-line evaluation by a histogram, according to another embodiment of the invention;

FIG. 5 illustrates a diagram showing results of offline evaluations via a table, according to one embodiment of the present invention;

FIG. 6 is a diagram illustrating the results of off-line evaluation at multiple points in time displayed on-screen according to one embodiment of the present invention;

FIG. 7 illustrates a schematic diagram of a display interface displaying results of offline evaluations, in accordance with one embodiment of the present invention;

8A-8E illustrate a schematic of parameter normalization according to one embodiment of the invention;

FIG. 9 illustrates a spider graph generated based on normalized parameters according to one embodiment of the present invention;

FIG. 10 shows a schematic block diagram of an offline evaluation apparatus according to one embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the described embodiments are only some of the embodiments of the present invention, and not all of the embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the invention described herein without inventive step, shall fall within the scope of protection of the invention.

In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in order to avoid obscuring the invention.

It is to be understood that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes any and all combinations of the associated listed items.

In order to provide a thorough understanding of the present invention, a detailed structure will be set forth in the following description in order to explain the present invention. Alternative embodiments of the invention are described in detail below, however, the invention may be practiced in other embodiments that depart from these specific details.

Next, an offline evaluation method according to an embodiment of the present invention will be described with reference to fig. 1. FIG. 1 is a schematic flow chart diagram of an offline evaluation method 100 in accordance with an embodiment of the present invention.

As shown in FIG. 1, an offline evaluation method 100 of one embodiment of the present invention comprises the steps of:

in step S110, a plurality of medical data of a medical object are obtained, where each of the plurality of medical data corresponds to a medical data source, and there are at least two medical data sources;

in step S120, at least two off-line evaluation indexes are obtained, wherein each off-line evaluation index corresponds to at least one type of medical data;

in step S130, determining an offline evaluation parameter corresponding to each offline evaluation index according to the at least two offline evaluation indexes and the medical data corresponding to each offline evaluation index;

in step S140, determining an offline evaluation result corresponding to the medical subject based on at least two of the offline evaluation parameters;

in step S150, the offline evaluation result is displayed on the display.

The off-line assessment method 100 of embodiments of the present invention may be implemented in a ventilator that is used to provide mechanical ventilation to a medical subject. The offline evaluation results obtained based on the offline evaluation method 100 may be displayed on a display of a ventilator to serve as a reference indicator of the offline feasibility of the medical subject, and the healthcare worker may decide whether to take the medical subject offline with reference to the offline evaluation results displayed on the display. The offline evaluation method 100 according to the embodiment of the present invention can also be implemented in a monitor, a central station, a cloud service system, or other electronic devices.

In particular, the medical subject is a patient who is receiving mechanical ventilation. The offline evaluation method 100 may be implemented during the mechanical ventilation process, and is used to provide an offline evaluation result before the medical subject is offline, so as to assist the clinician in deciding whether to take the medical subject offline, where the medical data of the medical subject acquired in step S110 is a vital sign parameter or a medical parameter of the medical subject during the ventilation process.

Alternatively, the offline evaluation method 100 may also be implemented after offline for providing the offline state evaluation for the medical subject, where the medical data acquired in step S110 is the vital sign parameters or the medical parameters of the medical subject within a preset time range after the medical ventilator is offline.

Exemplary ways of triggering off-line evaluation may include: displaying various medical data of a medical subject in real time on a conventional monitoring interface, wherein the various medical data include but are not limited to vital sign monitoring parameters, breathing machine monitoring parameters and the like; meanwhile, an offline evaluation option is provided on the display interface, offline evaluation is performed according to the medical data and the offline evaluation index when a selection instruction for the option is received, an offline evaluation window can be displayed at the moment, and an offline evaluation result is displayed in the window.

Each of the plurality of medical data of the medical object obtained in step S110 corresponds to a medical data source, and the plurality of medical data come from at least two different sources. That is, at least two different sources of medical data are obtained in step S110, each source can provide one or more types of medical data, and the offline evaluation of the integrated multi-source medical data can result in more comprehensive and accurate offline evaluation results. For example, sources of medical data include monitors, ventilators, infusion pumps, and imaging devices such as ultrasound imaging devices, X-ray imaging devices, and the like; the source of the medical data may also include other information relay devices or data management systems. The medical data can comprise data obtained by monitoring a medical object in real time by medical equipment and can also comprise biochemical analysis data; the medical data may also include subjective assessment data of the medical subject by a healthcare worker.

In one embodiment, the medical data includes at least two of the following: vital sign parameters, ventilation parameters, diaphragm parameters, consciousness score, clinical assessment, blood gas indices, and ultrasound data of the medical subject. The vital sign parameters are from a monitor, the ventilation parameters are from a breathing machine, the ultrasonic data and the diaphragm parameters are from ultrasonic equipment, the blood and gas indexes are biochemical analysis data, the consciousness score is subjective evaluation data of consciousness restoration conditions of the patient playing the chess by a doctor, the contents of clinical evaluation include but are not limited to sedation and analgesia evaluation, sputum excretion capability evaluation and the like, and the evaluation can be the same as the consciousness score and is the contents input by the doctor after various clinical evaluations. For example, the medical data for off-line evaluation may be selected from the following parameters: heart Rate (HR), blood oxygen (SpO 2), blood Pressure (BP) or systolic blood pressure (BP-sys), end-tidal carbon dioxide (etCO 2), spontaneous respiration rate (sb-RR), positive end-expiratory pressure (PEEP), shallow fast Breathing Index (RSBI), rapid Breathing Index (Oxygenation Index), inspiratory oxygen concentration (FiO 2), maximum inspiratory negative pressure (MIP), tidal volume (Vt), arterial oxygen partial pressure (PaO 2), pH, diaphragm thickness, diaphragm thickening ratio (DTF), diaphragm activity (DE), diaphragmatic variability (GCS), consciousness score (e.g., glasgow coma score GCS), dobutamine, body temperature, static compliance of the lungs (Csat).

The medical data for evaluation offline may be automatically selected according to preset conditions or manually selected by the user. In some embodiments, the medical data is selected according to an offline evaluation index, and in particular, an evaluation instruction for offline evaluation of the medical object may be received by the processor, at least two offline evaluation indexes are obtained according to the evaluation instruction, medical data corresponding to the offline evaluation indexes are screened out from the plurality of medical data, and then an offline evaluation result corresponding to the evaluation instruction may be generated based on the screened medical data. Alternatively, the processor may receive an evaluation instruction for performing an offline evaluation of the medical subject, select the medical data according to the evaluation instruction, and call the corresponding offline evaluation index. Wherein, the evaluation instruction can be triggered by user selection, namely, the off-line evaluation is carried out when the user selection is received; alternatively, the evaluation command may be triggered by a preset command, for example, an off-line evaluation may be performed periodically.

When medical data such as vital sign parameters and the like are processed, because structures and formats of data from different sources may have great differences, after the original data are acquired, the data structures and formats can be firstly analyzed, and the data can be stored again according to the prefabricated data structures and formats. In a pre-fabricated data structure and format, the data all carry time information to facilitate off-line evaluation for the current time or any time before.

At step S120, at least two offline evaluation indexes are obtained, where each offline evaluation index corresponds to at least one type of medical data. Each off-line evaluation index represents one off-line evaluation dimension, and multi-dimensional off-line evaluation results can be obtained by integrating a plurality of off-line evaluation indexes and corresponding medical data.

Illustratively, the offline evaluation index may include a threshold or a threshold range. For example, for the diaphragm Thickening ratio (DTF), the corresponding off-line evaluation index is 36% of the threshold value, and the DTF value may be compared with the threshold value when performing off-line evaluation, so as to obtain a comparison result that the DTF value is greater than the threshold value or less than the threshold value. Alternatively, new medical data may be obtained through a certain operation rule according to the at least two types of medical data, and the offline evaluation index includes an offline evaluation index for evaluating the new medical data, and the offline evaluation index corresponds to the at least two types of medical data.

For example, the offline evaluation index may be selected by a user, or the offline evaluation index may be a preset set of offline evaluation indexes. In one embodiment, if an index selection instruction is received from a user, a corresponding offline evaluation index is determined according to the index selection instruction to perform offline evaluation on the medical object. If the index selection instruction is not received, the preset offline evaluation index can be used as the determined offline evaluation index to perform offline evaluation on the medical object. In addition, the offline evaluation index may also be modified when a user's index modification instruction is received, such as modifying the size of the threshold.

In step S130, an offline evaluation parameter corresponding to each offline evaluation index is determined according to at least two offline evaluation indexes and the medical data corresponding to each offline evaluation index. The offline evaluation parameter is a parameter obtained by integrating the offline evaluation index and the corresponding medical data in each evaluation dimension.

Specifically, according to each offline evaluation index and the corresponding medical data, whether the patient life medical information represented by the medical data corresponding to the current offline evaluation index meets the offline requirement or not can be judged, and a corresponding offline evaluation result is generated, wherein the offline evaluation result is an offline evaluation result in a single evaluation dimension. Associating each off-line assessment indicator with the corresponding medical data and off-line assessment results may form an off-line assessment parameter corresponding to the off-line assessment indicator. The offline evaluation parameter can characterize whether the medical data corresponding to each offline evaluation index indicates that the medical subject is eligible to be offline. The offline evaluation parameters may include various combinations of offline evaluation metrics, medical data, offline evaluation results, for example, the offline evaluation parameters include offline evaluation metrics and medical data, or the offline evaluation parameters include offline evaluation results.

In step S140, an offline evaluation result corresponding to the medical object determined based on the at least two offline evaluation parameters is a visualized offline evaluation result, and is used for visually prompting the offline feasibility of the medical object for the user.

Illustratively, in displaying the offline evaluation results, first display settings applied to the display may be received, the first display settings including offline information display settings and offline evaluation display settings. The offline information display settings are for information in each evaluation dimension, including specifically in what manner the offline information is displayed. At least two offline evaluation indicators and corresponding offline evaluation parameters may be displayed according to the offline information display settings. The offline evaluation display setting is a display setting for an evaluation result, and specifically includes how to display the offline evaluation result, and the offline evaluation result generated based on a plurality of offline evaluation parameters may be displayed according to the offline evaluation display setting. According to the offline information display setting and the offline evaluation display setting, the single-dimension offline information and the comprehensive offline evaluation result are displayed on the display interface.

In some embodiments, the offline information display setting defines a display area for displaying offline information, and the offline evaluation display setting defines a display area for displaying the results of the offline evaluation. The two display areas may be independent of each other, or may overlap or partially overlap each other.

Further, since the offline information includes a plurality of dimensions, in order to clearly present the offline information of different dimensions, when displaying at least two offline evaluation indexes and corresponding offline evaluation parameters according to the offline information display setting, a second display setting of the offline information display setting may be acquired, the second display setting including a plurality of offline information display units, each offline information display unit corresponding to one evaluation dimension; within each offline information display unit, a set of associated offline evaluation indicators and offline evaluation parameters is displayed. Therefore, the offline evaluation indexes and the offline evaluation parameters of each dimension are presented in an associated mode through the plurality of offline information display units, and a user can know the parameter state of each dimension conveniently.

Referring to FIG. 2, in one example, the offline evaluation results may be presented in the form of a spider graph. The spider-web graph comprises a plurality of support arms 201 arranged around the center, wherein each support arm represents an offline information display unit and is used for displaying offline evaluation indexes and offline evaluation parameters of corresponding dimensions. Using several off-line evaluation indices for off-line evaluation, the spider graph includes several arms. Taking the arm representing Heart Rate (HR) as an example, based on this arm, the threshold range representing offline is 50-140, and the current real-time heart rate falls within this range.

Referring to FIG. 3, in another example, the results of offline evaluation may be presented using a histogram. The histogram includes a plurality of bar graphs 301 arranged side by side, each bar graph representing an offline information display unit for displaying offline evaluation indexes and offline evaluation parameters of a corresponding dimension.

In addition to the graphical display of fig. 2 and 3, the results of the off-line evaluation may be presented in the form of a table as shown in fig. 5. In the example of fig. 5, each cell in the table represents an offline information display unit, and the numerical value of the medical parameter is displayed in the cell of the table and identified by color as a result of comparison with the offline evaluation index.

Further, the offline information display unit may further include an offline evaluation tag, where the offline evaluation tag is used to identify whether the offline evaluation parameter corresponding to the current offline information display unit indicates that the medical subject is within the safe offline range. Determining an offline evaluation result corresponding to the medical subject based on the at least two offline evaluation parameters may specifically include determining an offline evaluation result based on each offline evaluation index and the corresponding offline evaluation label. The user may determine, from the offline evaluation labels, the contribution of the medical parameters for each evaluation dimension to the offline evaluation results.

The offline evaluation tab may be provided in the offline information display unit, and the offline evaluation tab is displayed in a form different from that of the offline information display unit. For example, for the spider-web diagram shown in fig. 2, the offline information display unit is a spider-web diagram arm, each arm includes at least a first area 203 and a second area 202, the first area 203 represents a threshold range suitable for offline in the offline evaluation index, the second area 202 represents a threshold range unsuitable for offline in the offline evaluation index, and the first area 203 and the second area 202 are displayed differently, for example, in different colors or patterns. Each arm also includes an identifier 204, illustrated in FIG. 2 as a dotted pattern, representing the size of the offline evaluation data. Wherein the first area and the indication indicating the size of the offline evaluation data together constitute an offline evaluation tag, and the first area is displayed in a form distinguished from the second area. In conjunction with the first region and the dot pattern, it may be determined whether the medical data is within a threshold range representing suitability for offline. If the identifier representing the size of the offline evaluation data is in the first area, the offline evaluation parameter corresponding to the current offline information display unit represents that the medical object is in the safe offline range, and if the identifier representing the size of the offline evaluation data is in the second area, the offline evaluation parameter corresponding to the current offline information display unit represents that the medical object is not in the safe offline range. The greater the number of identifiers falling within the first region, the higher the offline feasibility of the medical subject.

Similarly for the bar graphs shown in fig. 3, each bar graph includes a first area 302 and a second area 303, the first area 302 represents a threshold range suitable for offline in the offline evaluation index, the second area 303 represents a threshold range unsuitable for offline in the offline evaluation index, the first area 302 and the second area 303 are displayed differently, and each bar graph further includes an identifier representing the size of the offline evaluation data. Whether the offline evaluation parameter corresponding to the current offline information display unit represents that the medical object is in the safe offline range or not can be judged according to the area where the identifier is located.

In some embodiments, an offline evaluation tag may also be provided in association with the offline information display unit, for example, a specific identifier may be displayed outside the offline information display unit when an offline evaluation parameter characterizes whether the medical subject is within a safe offline range.

In some embodiments, the offline evaluation tag further includes a tag for identifying whether the offline evaluation parameter representation corresponding to the current offline information display unit needs to be considered for security offline. If the label is displayed in the offline information display unit, the representative offline evaluation parameter cannot explicitly indicate that safe offline is possible or not, and medical staff is required to consider the label in combination with actual conditions. For example, in the bar graph shown in fig. 4, the bar graph includes a first area 401, a second area 404, and a third area 403, where the first area 401 represents a threshold range suitable for offline in the offline evaluation index, the second area 404 represents a threshold range unsuitable for offline in the offline evaluation index, and the third area 403 represents a threshold range that needs to be considered suitable for offline. In the bar graph corresponding to the GSC, an indication 402 indicating the size of the off-line assessment data falls in a third area 403 indicating that the GSC falls within a threshold range that needs to be considered off-line.

In some embodiments, an offline evaluation tab that characterizes whether security offline consideration is required may be set as an option, and a user may select whether to enable the offline evaluation tab in the setting. For example, the user may choose to use a two-segment bar chart as shown in FIG. 3, or a three-segment bar chart as shown in FIG. 4.

In the table shown in fig. 5, the offline evaluation label is the context of the offline information display unit, e.g., the off-line information display unit 501 without context indicates that the corresponding offline evaluation parameter characterizes the medical subject as being within a safe offline range. Offline information display unit 502 with a dark shaded background indicates that the corresponding offline evaluation parameter characterizes the medical subject as not being within a safe offline range. The off-line information display unit 501 with a light background indicates that the corresponding off-line evaluation parameter characterization needs to be considered whether a safe off-line is possible.

Determining an offline evaluation result corresponding to the medical subject based on the at least two offline evaluation parameters may specifically include determining an offline evaluation result corresponding to the medical subject based on each offline evaluation index and the corresponding offline evaluation label. For example, in the spider-web diagram shown in FIG. 2, the offline evaluation result includes a ring 205 connecting all of the dot patterns 204; in the histogram shown in fig. 3, the offline evaluation result includes a broken line connecting all the dot patterns.

Further, in addition to determining the shape of the offline evaluation result based on the offline evaluation tag, other attributes of the offline evaluation result may be determined based on the offline evaluation tag. For example, for a circle in the spider-web graph, when all the dot patterns fall within the first region representing the threshold range for offline evaluation index, the circle pattern is displayed in a color, for example, green. When 1-2 dot patterns fall on the second area, the ring pattern is displayed in yellow. When more dot patterns fall on the second area, the ring pattern is displayed in red. The meaning of the ring-shaped graphic representation of different colors may be defined according to user instructions.

It can be understood that, in the embodiment of the present invention, the offline evaluation result may include an evaluation result in each evaluation dimension, and the evaluation result in each evaluation dimension may be embodied by an offline evaluation tag; the overall evaluation result, i.e. the evaluation result obtained by synthesizing the multi-source parameters, can also be included. When the offline evaluation results include evaluation results in each evaluation dimension, displaying the offline evaluation results includes displaying offline evaluation parameters corresponding to at least two offline evaluation indicators according to the offline evaluation display settings. For example, when the offline evaluation result is displayed in the form of a spider graph, the offline evaluation result includes each arm, and displaying the offline evaluation result includes displaying at least two arms corresponding to the offline evaluation index.

And when the offline evaluation result comprises the overall evaluation result, displaying the offline evaluation result comprises displaying the offline evaluation result after offline evaluation processing is performed on the offline evaluation parameters corresponding to the at least two offline evaluation indexes according to the offline evaluation display setting. For example, in the spider-web diagram shown in fig. 2, the integrated offline evaluation result displayed in the form of a graph includes a loop graph formed by the marks on each arm connecting the sizes representing the medical data in the spider-web diagram. In the histogram shown in fig. 3, the comprehensive offline evaluation result displayed in the form of a graph includes a broken line in the histogram formed by connecting the marks representing the size of the medical data on each histogram.

In addition to being displayed graphically, the results of the off-line assessment may also be displayed numerically or textually. For example, the parameter values and threshold values of the medical data corresponding to each evaluation dimension may be directly displayed, or the offline evaluation results may be presented in the form of text such as "offline" or "not offline".

The offline evaluation results described above may be generated and displayed in real time, for example, current medical data of the medical subject may be obtained in real time to generate offline evaluation parameters, and the offline evaluation results displayed on the display may be refreshed every predetermined time. Alternatively, the offline evaluation result may be an offline evaluation result generated in response to the evaluation instruction at a point in time corresponding to the evaluation instruction. Each time point \ segment corresponding to the evaluation instruction can be referred to as an evaluation point.

If offline evaluation is required to be performed at a plurality of evaluation points and results are displayed, particularly, when two evaluation points can be arranged according to time sequence, and the offline evaluation results are displayed, the offline evaluation results corresponding to each evaluation point can be displayed on the same screen according to time trends, so that a user can conveniently view the change trend of the offline evaluation results. For example, the table shown in fig. 5 shows the off-line evaluation results obtained from three off-line evaluations. As can be seen in fig. 5, the subject was evaluated off-line once a day for three consecutive days. From the first day only four medical data fall within the range representing safe off-line to the third day all parameters fall within the range representing safe off-line, thereby helping medical staff to confirm that the condition of the medical subject is improving, that the spontaneous respiration capacity is increasing, and that the off-line feasibility is gradually increasing.

In another embodiment, referring to FIG. 6, FIG. 6 shows a spider-web diagram showing the results of an offline evaluation of multiple evaluation points simultaneously. The medical staff can simultaneously view the offline evaluation results of a plurality of evaluation points. Where elements 601, 602, and 603 represent offline evaluation results for different evaluation points, respectively. In order to distinguish the offline evaluation results of different evaluation points, the offline evaluation results of the different evaluation points can be represented by annular graphs with different thicknesses, and the annular graphs corresponding to the different evaluation points can be distinguished by lines with different colors or different patterns. Of course, multiple spiders may be used to represent off-line evaluation results at different evaluation points.

In some embodiments, the offline evaluation results displayed on the display may also be used to enable user interaction. For example, medical data corresponding to the selected offline information display unit may be displayed in the medical data display area of the display in response to a user instruction from the user to select any at least one of the at least two offline information display units. For example, referring to fig. 7, when the offline information display unit selected by the user instruction corresponds to an ultrasound parameter such as DTF, DE, diaphragm thickness, etc., one or more frames of ultrasound images related to the ultrasound parameter may be displayed in a medical data display area 705, and the medical data display area 705 is disposed below the offline evaluation result display area 704. The user can click on the arm of the spider graph displayed in the offline evaluation result display area 704 or the hot key corresponding to the arm to view the ultrasound image. In addition to the image data, when an instruction to select other numerical-value-type medical data is received, the relevant medical data, for example, a waveform of the medical data or the like, may be displayed.

Further, the position, size, and the like of the medical data display area may also be changed in response to a user instruction to adjust the medical data display area. For example, the user may move the display position of the ultrasound image display window to facilitate the on-screen viewing of the ultrasound image with other information.

In one embodiment, in addition to displaying the results of the off-line assessment, other information of the medical data may be displayed on the display. In particular, a third display setting may be received for application to a display, the third display setting including a time display region and a parameter display region, the parameter display region including a first data display region and a second data display region. With continued reference to fig. 7, a time axis 701 is provided within the time display region; a trend curve 702 of medical data corresponding to at least two off-line evaluation indexes along a time axis is displayed in the first data display area; the second data display area displays medical data 703 corresponding to at least two off-line assessment indicators at the current time.

The trend curves displayed in the first data display area shown in fig. 7 specifically include trend curves of Heart Rate (HR), blood oxygen (SPO 2), and Blood Pressure (BP) from the monitor; and trend curves for Positive End Expiratory Pressure (PEEP) and tidal volume (Tve) from a ventilator. Also displayed in the first data display area is an indication of a ventilation mode, which indicates that the ventilator is switched to a PSV ventilation mode (pressure support ventilation mode). The trend curves listed above are merely examples, and trend curves for other types of medical data may also be displayed in the display interface. The trend curves are displayed in a vertical arrangement and are displayed in alignment with the time axis 701 in the time dimension.

Illustratively, the left area of each trend curve is displayed with a corresponding measuring range, and the right area is a second data display area, in which the real-time numerical value of the medical data corresponding to the current time is displayed, and the data type and the data unit are displayed. Further, the reference time can be determined based on the received operation instruction, and the medical data corresponding to the reference time can be used as the reference value of the medical data. Illustratively, the user may mark a longitudinally extending baseline 708 on the display interface, the baseline 708 representing the time instant being the reference time instant; the value corresponding to the intersection of the first baseline 708 and each trend curve is the reference value of each medical data. Illustratively, a horizontally extending baseline representing the reference value may also be displayed in each trend curve, facilitating the user to compare the fluctuation size of each vital sign parameter with respect to the reference value. The baseline may also indicate the beginning of an offline evaluation by the user.

In one embodiment, the Event tab 706 may also be displayed on a timeline, the Event tab 706 being used to mark medical events related to the medical subject on the timeline, and the timeline displayed with the medical events may be referred to as an Event overview Bar (Event Bar). The timeline with event labels displayed can help the user understand which events occurred during the change of the parameter trend graph. The medical events can be all valuable events within the time span represented by the timeline, including events that are automatically triggered by the medical device due to certain conditions, as well as certain events that are manually recorded.

Illustratively, the medical event includes, but is not limited to, at least one of medical sample analysis, medical image detection, vital sign monitoring, and offline evaluation. The medical sample analysis refers to various tissue sample analyses including biochemical analysis, and specifically may include in vitro diagnostic methods such as biochemical analysis, coagulation analysis, and immunoassay. Medical image detection includes ultrasound imaging events, and the like. The vital sign monitoring comprises various events recorded in the monitoring process of a monitor. Offline evaluation includes performing offline evaluation according to the offline evaluation instruction. Medical events also include various events recorded by the ventilator, such as a change in ventilator ventilation pattern, etc. The event tag may specifically include a graphical marker displayed in the time axis for marking the event occurrence time, and event type information and event time information displayed below the graphical marker, for example, POCUS represents an ultrasound mapping event, and 12.

In one embodiment, the following process may also be implemented by a processor: receiving an operation instruction of a user for selecting any time point on a time axis; if the operation instruction has an event tag 706 at the selected time point, the corresponding medical event 707 is displayed on the display. In the example of fig. 7, the selected label is the label of the ultrasound mapping event, when the user positions the cursor to the event label, other medical data corresponding to the label may be displayed, and the parameter values "pH 7.3, pao2 64mmhg, paco2 54mmHg" of the last blood gas analysis result are shown in fig. 7.

In some embodiments, the following processes may also be implemented by a processor: and receiving an operation instruction of any time point on the time axis selected by the user, and displaying an offline evaluation result at the time point selected by the operation instruction. Unlike the real-time offline evaluation result, the offline evaluation result displayed at this time is a historical offline evaluation result, which may be an offline evaluation result generated and saved during the real-time offline evaluation, and when an operation instruction for a historical time point is received, the offline evaluation result for the historical time point may be called and displayed.

Alternatively, the historical offline evaluation result may be generated after receiving an operation instruction from the user to select a certain time point on the time axis. For example, when it is detected that the cursor is positioned to a certain time point on the time axis, an offline evaluation function key may be provided on the display interface, medical data at the corresponding time point may be called after a selection instruction for the key is received, and an offline evaluation result at the corresponding time point may be generated and displayed. Optionally, the offline evaluation function key may also be implemented as a state key, and the offline evaluation state is entered after receiving a selection instruction for the state key, and at this time, if the cursor is moved to a certain time point, the offline evaluation result corresponding to the time point is automatically generated and displayed.

In some embodiments, if an ultrasound event is recorded at the time point of performing the offline evaluation, the ultrasound image acquired during the ultrasound event may be displayed, that is, the ultrasound image may be displayed in a manner that includes displaying the portion of the offline evaluation result corresponding to the ultrasound data when the portion of the offline evaluation result corresponding to the ultrasound event is received, or displaying the ultrasound image when the event tag for the ultrasound event is received.

In view of the numerous medical parameters for offline evaluation and the large differences between different offline evaluation indexes, in one embodiment, the medical data may be normalized to obtain an offline evaluation parameter of the medical subject normalized by each offline evaluation index, and the offline evaluation result of the medical subject may be determined based on the normalized offline evaluation parameters. The normalization process can make the display of the off-line evaluation result more intuitive and understandable.

Specifically, the normalization process includes normalization of the particular medical data, for example, mapping the measurement range segments of the medical data onto values 1-5, where 5 represents a complete off-line requirement, 4 represents a slightly off-line requirement, and 1 represents an extreme deviation from the off-line requirement.

Alternatively, normalization also includes normalization of homogeneous medical data. For example, the types of medical data include basic vital sign parameters, oxygenation parameters, spontaneous breathing, CO2 clearance, diaphragm parameters, consciousness assessment, blood gas index, each type of medical data includes a plurality of medical parameters, and the plurality of parameters of the same type of medical data may be jointly normalized.

Fig. 8 shows a schematic diagram of determining an off-line evaluation result of a medical subject based on the respective off-line evaluation parameters subjected to the normalization processing. Fig. 8A is a graph of a variation trend of basic vital sign parameters, and the included medical data includes but is not limited to heart rate, blood pressure, body temperature, and other parameters. The composite index in the trend graph is the mean value of the normalized values of heart rate, blood pressure and body temperature. Fig. 8B is a trend graph of oxygenation comprising medical data including, but not limited to, spO2, fiO2, and PEEP. Fig. 8C is a trend graph of spontaneous respiratory ability, including medical data including but not limited to sb-RR, RSBI, MIP. Fig. 8D is a graph of CO2 clearance trend, including medical data including, but not limited to, MV, pinsp, etCO2. Figure 8E is a graph of trend of diaphragm motor capacity, including medical data including, but not limited to, DFT, DE, and diaphragm thickness. Each of the trend plots of fig. 8A-8E shows the normalized trend of both the single medical data and the merged normalized trend of the same medical data.

Fig. 9 shows a spider graph generated based on the parameter normalization result. In the spider-web diagram shown in fig. 9, each loop represents a one-time offline evaluation result, and different loops represent offline evaluation results at different times. From the spider web diagram shown in fig. 9, the overall variation trend of various types of medical data of the medical object can be known.

In summary, the offline evaluation method 100 according to the embodiment of the present invention integrates a plurality of medical data to generate an offline evaluation result, which is helpful for medical staff to perform offline evaluation more efficiently and accurately.

The embodiment of the invention also provides an offline evaluation device, which is used for implementing the offline evaluation method 100. Referring to fig. 10, the offline evaluation apparatus 1000 includes a memory 1010, a processor 1020, and a display 1030; the memory 1010 is for storing a plurality of medical data of a medical subject, the plurality of medical data including data acquired from at least two sources; the processor 1020 is configured to perform the offline evaluation method as described above to obtain an offline evaluation result; processor 1020 is also configured to control display 1030 to display the results of the offline evaluation.

Illustratively, the off-line evaluation apparatus 1000 may be implemented as a ventilator, or may be implemented as a medical device such as a monitor, a central station, or other electronic devices. The memory 1010 may be a flash memory card, solid state memory, hard disk, or the like. Which may be volatile memory and/or non-volatile memory, removable memory and/or non-removable memory, etc. Processor 1020 may be implemented as software, hardware, firmware, or any combination thereof, and may include circuitry, single or multiple application specific integrated circuits, single or multiple general purpose integrated circuits, single or multiple microprocessors, single or multiple programmable logic devices, or any combination of the aforementioned, or other suitable circuitry or devices, and processor 1020 may control other components in offline evaluation apparatus 1000 to perform desired functions. Display 1030 may display data to be displayed as obtained by processor 1020. In addition, the display 1030 can also provide a graphical interface for human-computer interaction for a user while displaying data to be displayed, one or more controlled objects are arranged on the graphical interface, and the user is provided with a human-computer interaction device to input operation instructions to control the controlled objects, so that corresponding control operation is performed. For example, icons are displayed on the graphical interface, which can be manipulated by the human-computer interaction device to perform a particular function.

Optionally, the offline evaluation device 1000 may also include a human interaction device other than the display 1030, which is coupled to the processor 1020, for example, the processor 1020 may be coupled to the human interaction device via an external input/output port, which may be a wireless communication module, a wired communication module, or a combination thereof. The external input/output port may also be implemented based on USB, bus protocols such as CAN, and/or wired network protocols, etc. Optionally, the offline evaluation device 1000 further includes a plurality of sensors, and the offline evaluation device 1000 may acquire the acquired signal of the vital sign data through the sensor connected to the human body, and then may convert the acquired signal of the vital sign data into an electrical signal, perform preprocessing such as interference suppression, signal filtering and amplification, and finally acquire the medical data.

Only the main functions of the components of the offline evaluation apparatus are described above, and for more details, reference is made to the related description of the offline evaluation method 100, which is not described herein again.

Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the foregoing illustrative embodiments are merely exemplary and are not intended to limit the scope of the invention thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present invention. All such changes and modifications are intended to be included within the scope of the present invention as set forth in the appended claims.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present invention should not be construed to reflect the intent: rather, the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules according to embodiments of the present invention. The present invention may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

The above description is only for the specific embodiment of the present invention or the description thereof, and the protection scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the protection scope of the present invention. The protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (19)

1. An off-line assessment method, the method comprising: implementing, by a processor, the following:

acquiring a plurality of medical data of a medical object, wherein each of the plurality of medical data respectively corresponds to a medical data source, and the number of the medical data sources is at least two;

acquiring at least two off-line evaluation indexes, wherein each off-line evaluation index corresponds to at least one type of medical data;

determining an offline evaluation parameter corresponding to each offline evaluation index according to the at least two offline evaluation indexes and the medical data corresponding to each offline evaluation index;

determining an offline evaluation result corresponding to the medical object based on at least two of the offline evaluation parameters;

displaying the offline evaluation result on a display.

2. The method of claim 1, wherein the medical data comprises at least two of:

vital sign parameters, ventilation parameters, diaphragm parameters, consciousness score, clinical assessment, blood gas indices, and ultrasound data of the medical subject.

3. The method of claim 1, wherein displaying the offline evaluation results on a display comprises:

receiving first display settings applied to the display, the first display settings including offline information display settings and offline evaluation display settings;

displaying the at least two offline evaluation indexes and corresponding offline evaluation parameters according to the offline information display setting;

displaying an offline evaluation result generated based on the plurality of offline evaluation parameters according to the offline evaluation display setting.

4. The method of claim 3, wherein displaying the at least two offline evaluation metrics and corresponding offline evaluation parameters according to the offline information display settings comprises:

obtaining a second display setting of the offline information display setting, the second display setting comprising a plurality of offline information display units;

within each offline information display unit, a set of associated offline evaluation metrics and offline evaluation parameters is displayed.

5. The method of claim 4, wherein the offline information display unit includes an offline evaluation tag that identifies whether the offline evaluation parameter corresponding to the current offline information unit characterizes the medical subject as being within a safe offline range;

the determining an offline evaluation result corresponding to the medical subject based on at least two of the offline evaluation parameters comprises:

and determining an offline evaluation result corresponding to the medical object based on each offline evaluation index and the corresponding offline evaluation label.

6. The method of claim 5, wherein the offline evaluation tab is disposed within or in association with the offline information display unit and is displayed in a form distinct from the offline information display unit.

7. The method of claim 3, wherein displaying offline evaluation results generated based on the plurality of offline evaluation parameters according to the offline evaluation display settings comprises:

displaying the offline evaluation parameters corresponding to the at least two offline evaluation indexes according to the offline evaluation display setting; and/or (c) and/or,

and displaying an offline evaluation result obtained after offline evaluation processing is performed on the offline evaluation parameters corresponding to the at least two offline evaluation indexes according to the offline evaluation display setting, wherein the offline evaluation result is displayed in a graphic, digital or text form.

8. The method according to any one of claims 3-7, further comprising:

by a processor:

receiving an assessment instruction for off-line assessment of the medical subject; the evaluation instruction is triggered by user selection or a preset instruction;

acquiring at least two off-line evaluation indexes according to the evaluation instruction, and screening out corresponding medical data from the multiple medical data;

and generating an offline evaluation result corresponding to the evaluation instruction based on the screened medical data.

9. The method of claim 8, wherein off-line evaluation results for at least two evaluation points are obtained;

the displaying the offline evaluation result on the display comprises:

and displaying the off-line evaluation result corresponding to each evaluation point on the same screen.

10. The method of any of claims 3-7, wherein the display form of the offline information display setting or offline evaluation display setting comprises at least one of a spider graph, a bar graph, and a table.

11. The method according to any one of claims 4-7, further comprising:

in response to a user instruction from a user to select at least one of the at least two offline information display units, displaying medical data corresponding to the selected offline information display unit in a medical data display area of the display.

12. The method of claim 1 or 2, wherein determining the offline evaluation parameter for each offline evaluation indicator based on the at least two offline evaluation indicators and the medical data for each offline evaluation indicator comprises:

judging whether the life medical information of the patient represented by the medical data corresponding to the current off-line evaluation index meets the off-line requirement or not according to each off-line evaluation index and the corresponding medical data, and generating a corresponding off-line evaluation result;

and associating each off-line evaluation index with the corresponding medical data and off-line evaluation result to form an off-line evaluation parameter corresponding to the off-line evaluation index.

13. The method according to claim 1 or 2, characterized in that the method further comprises:

normalizing the medical data to obtain an offline evaluation parameter of the medical object subjected to normalization processing on each offline evaluation index;

determining an off-line evaluation result of the medical subject based on the normalized off-line evaluation parameters.

14. The method according to claim 1 or 2, wherein the medical data is a vital sign parameter or a medical parameter of the medical subject during ventilation,

or,

the medical data is a vital sign parameter or a medical parameter within a preset time range after the mechanical medical subject finishes taking the medical ventilator off-line.

15. The method of claim 1 or 2, wherein the obtaining at least two off-line assessment indicators comprises:

if an index selection instruction from a user is received, determining a corresponding offline evaluation index according to the index selection instruction to perform offline evaluation on the medical object;

and otherwise, taking a preset offline evaluation index as the determined offline evaluation index to perform offline evaluation on the medical object.

16. The method of claim 1 or 2, wherein displaying the offline evaluation result on a display comprises:

receiving a third display setting applied to the display, the third display setting comprising a time display area and a parameter display area, the parameter display area comprising a first data display area and a second data display area; a time shaft is arranged in the time display area;

displaying a trend curve of the medical data corresponding to the at least two off-line evaluation indexes along the time axis in the first data display area;

and displaying the medical data corresponding to the at least two off-line evaluation indexes at the current moment in the second data display area.

17. The method of claim 16, wherein displaying the offline evaluation results on a display further comprises:

displaying an event label on the timeline; the event tag is used for marking a medical event related to the medical object on the timeline; the medical event includes at least one of medical sample analysis, medical image detection, vital sign monitoring, and offline evaluation.

18. The method of claim 17, further comprising:

implementing, by a processor, the following:

receiving an operation instruction of a user for selecting any time point on the time axis;

and if the time point selected by the operation instruction has an event label, displaying the corresponding medical event on the display.

19. An off-line evaluation apparatus, comprising a memory, a processor, and a display;

the memory is for storing a plurality of medical data of a medical subject, the plurality of medical data including data acquired from at least two sources;

the processor is configured to execute the offline evaluation method of any one of claims 1-18 to obtain an offline evaluation result;

the processor is further configured to control the display to display the offline evaluation result.

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