Physiological parameter measurement method and apparatus

Abstract

This invention proposes a method and apparatus for measuring physiological parameters. The method includes: acquiring the identification of the subject; acquiring the subject's medical history information based on the identification; determining the target physiological parameter to be measured based on the medical history information; and measuring the target physiological parameter on the subject to obtain measurement data. This method automatically determines the target physiological parameter based on the subject's medical history information, reducing manual operation and shortening the measurement time compared to manually determining the physiological parameter. This significantly improves the work efficiency of medical staff and ward rounds. Furthermore, determining the physiological parameter based on medical history information improves the accuracy and convenience of physiological parameter selection.

Description

Technical Field

[0001] This invention relates to the field of medical monitoring technology, and in particular to a method and device for measuring physiological parameters. Background Technology

[0002] In order to improve the monitoring of patients' conditions, physiological parameters of patients are usually measured during ward rounds and short-term monitoring, so that doctors can understand the patients' conditions based on the data.

[0003] Currently, measurements are primarily taken after medical staff determine the physiological parameters that need to be measured for each patient. However, since the number of patients requiring daily monitoring is usually quite large, the existing method of determining the necessary physiological parameters significantly reduces the efficiency of ward rounds. Summary of the Invention

[0004] The present invention aims to at least partially solve one of the technical problems in the related art.

[0005] Therefore, the first objective of this invention is to propose a method for measuring physiological parameters, so as to automatically determine the physiological parameters that need to be measured based on medical history information, thereby reducing manual operation and greatly improving the efficiency of ward rounds.

[0006] The second objective of this invention is to provide a physiological parameter measuring device.

[0007] The third objective of this invention is to provide a computer device.

[0008] A fourth objective of this invention is to provide a non-transitory computer-readable storage medium.

[0009] The fifth objective of this invention is to provide a computer program product.

[0010] To achieve the above objectives, a first aspect of the present invention provides a method for measuring physiological parameters, comprising:

[0011] Obtain the identity identifier of the measurement object;

[0012] Based on the identity identifier, obtain the medical history information of the measurement subject;

[0013] Based on the medical history information, determine the target physiological parameters that need to be measured for the subject;

[0014] Measurement data of the target physiological parameters are obtained by measuring the object being measured.

[0015] The physiological parameter measurement method of this invention obtains the identity identifier of the measurement subject, acquires the medical history information of the measurement subject based on the identity identifier, determines the target physiological parameter to be measured based on the medical history information, and then measures the target physiological parameter on the measurement subject to obtain the measurement data. In this embodiment, the medical history information of the measurement subject is acquired based on the identity identifier, and the target physiological parameter to be measured is automatically determined based on the medical history information. Compared with the method of manually determining the physiological parameter to be measured, this reduces manual operation, shortens the measurement time, and greatly improves the work efficiency of medical staff and ward rounds. At the same time, determining the physiological parameter to be measured based on the medical history information can improve the accuracy and convenience of physiological parameter selection.

[0016] To achieve the above objectives, a second aspect of the present invention provides a physiological parameter measuring device, comprising:

[0017] The first acquisition module is used to acquire the identity identifier of the measurement object;

[0018] The second acquisition module is used to acquire the medical history information of the measurement object based on the identity identifier;

[0019] The determination module is used to determine the target physiological parameters that need to be measured for the measurement subject based on the medical history information;

[0020] The third acquisition module is used to measure and acquire measurement data of the target physiological parameters on the measurement object.

[0021] The physiological parameter measurement device of this invention acquires the identity identifier of the measurement subject, obtains the subject's medical history information based on the identity identifier, determines the target physiological parameters to be measured based on the medical history information, and then measures the target physiological parameters on the measurement subject to obtain measurement data. In this embodiment, the medical history information of the measurement subject is obtained based on the identity identifier, and the target physiological parameters to be measured are automatically determined based on the medical history information. Compared with the method of manually determining the physiological parameters to be measured, this reduces manual operation, shortens the measurement time, and greatly improves the work efficiency of medical staff and ward rounds. At the same time, determining the physiological parameters to be measured based on medical history information can improve the accuracy and convenience of physiological parameter selection.

[0022] To achieve the above objectives, a third aspect of the present invention provides a computer device including a processor and a memory;

[0023] The processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the physiological parameter measurement method as described in the first aspect embodiment.

[0024] To achieve the above objectives, a fourth aspect of the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the physiological parameter measurement method as described in the first aspect embodiment.

[0025] To achieve the above objectives, a fifth aspect of the present invention provides a computer program product that, when instructions in the computer program product are executed by a processor, implements the physiological parameter measurement method as described in the first aspect embodiment.

[0026] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0027] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0028] Figure 1 A flowchart illustrating a physiological parameter measurement method provided in an embodiment of the present invention;

[0029] Figure 2 A flowchart illustrating another physiological parameter measurement method provided in an embodiment of the present invention;

[0030] Figure 3 A flowchart illustrating another physiological parameter measurement method provided in an embodiment of the present invention;

[0031] Figure 4 This is a flowchart illustrating a method for displaying measurement data in a monitoring trend according to a display mode, as provided in an embodiment of the present invention.

[0032] Figure 5 A trend chart showing the body temperature monitoring of a test subject from 8:00 AM to 12:00 AM throughout the day;

[0033] Figure 6 A flowchart illustrating another method for measuring physiological parameters provided in an embodiment of the present invention;

[0034] Figure 7 This is a schematic diagram of a physiological parameter measuring device provided in an embodiment of the present invention;

[0035] Figure 8 A block diagram of an exemplary computer device suitable for implementing embodiments of the present invention. Detailed Implementation

[0036] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0037] The physiological parameter measurement method and apparatus of the present invention are described below with reference to the accompanying drawings.

[0038] The physiological parameter measurement method of this invention is applicable to monitoring equipment, such as vital sign monitors and bedside monitors.

[0039] Figure 1 This is a flowchart illustrating a physiological parameter measurement method provided in an embodiment of the present invention.

[0040] Step 101: Obtain the identity identifier of the measurement object.

[0041] In this embodiment, the measurement object can be a patient in a hospital, or it can be an ordinary person.

[0042] Taking patients as an example, when a patient goes through the admission process, the hospital's server assigns them a unique patient ID number, which is the patient's unique identifier.

[0043] The monitoring equipment can obtain the identification information of the person being measured from the hospital's server via the network and store it locally. Medical staff can enter the name, ID number, and other information of the person being measured into the human-computer interface of the monitoring equipment to obtain the identification information of the person being measured corresponding to that name and ID number.

[0044] Step 102: Obtain the medical history information of the measurement subject based on the identity identifier.

[0045] In this embodiment, the patient's medical history information can be stored on the hospital's server or in the memory of the monitoring device according to the patient's identification. This medical history information may include measurement data of the patient's historical physiological parameters and past medical history.

[0046] The physiological parameters that are usually measured include, but are not limited to, blood pressure, pulse rate, body temperature, and respiratory rate. It is understandable that the physiological parameters measured in different medical histories may vary.

[0047] Step 103: Based on the medical history information, determine the target physiological parameters that need to be measured for the subject.

[0048] In this embodiment, after acquiring the medical history information, the target physiological parameters to be measured for the subject can be determined based on the medical history information. As one possible implementation, the physiological parameters measured historically included in the medical history information can be used as the target physiological parameters for the subject. For example, if the medical history information contains measurement data for three parameters—blood glucose, blood pressure, and blood oxygen saturation—then blood glucose, blood pressure, and blood oxygen saturation can be used as the target physiological parameters for the subject.

[0049] To improve the specificity and efficiency of measurements, as another possible approach, when the medical history information includes historically measured physiological parameters, abnormal physiological parameters can be extracted from these historically measured parameters and used as target physiological parameters. This makes the selected physiological parameters more specific, improving measurement efficiency and the work efficiency of medical staff.

[0050] It is understandable that there may be no abnormal physiological parameters among the historical measurements; that is, all historical physiological parameter values ​​may be within the normal range. In this case, the target physiological parameter can be determined based on the total number of historical measurements.

[0051] Specifically, when no abnormal physiological parameters are found in the historical physiological parameters, the total number of measurements for each historical physiological parameter is counted. All historical physiological parameters are then sorted in descending order of the total number of measurements, and a preset number of historical physiological parameters are selected as target physiological parameters in descending order. For example, the first four physiological parameters can be selected for measurement.

[0052] The two implementation methods mentioned above are for cases where the medical history information contains historical measurement parameters. It is understandable that the medical history information may not contain historically measured physiological parameters. For example, the medical history information may only provide a verbal description of the patient's physiological condition.

[0053] When the medical history information does not include previously measured physiological parameters, one possible way to determine the target physiological parameter to be measured is to extract the subject's past medical history data from the medical history information, analyze this data, and then determine the physiological parameter that needs to be measured. For example, if the medical history records that the subject previously experienced dizziness due to high blood pressure, then blood pressure can be used as the target physiological parameter.

[0054] In this embodiment, the target physiological parameters are determined based on the medical history information of the measurement subject. This avoids blindly measuring a large number of physiological parameters, improves the accuracy of the selection of target physiological parameters, and also improves the work efficiency of medical staff.

[0055] After determining the target physiological parameters to be measured based on the patient's medical history, a list of target physiological parameters can be generated and displayed on the interactive interface.

[0056] When the medical history is brief and the target physiological parameter cannot be determined based on the history, the target physiological parameter can be determined by detecting the measurement accessory inserted into the monitoring device. Specifically, the access interface for the measurement accessory is detected. When an accessory is detected, the physiological parameter measured by that accessory can be used as the target physiological parameter. For example, if a blood pressure monitor is detected, it means that medical staff will measure the patient's blood pressure.

[0057] It should be noted that an interface can be set up so that medical staff can manually set the patient's target physiological parameters.

[0058] Step 104: Measure and obtain measurement data of the target physiological parameters on the measurement object.

[0059] In this embodiment, after determining the target parameter to be measured, the target physiological parameter of the object can be measured and measurement data can be obtained. Specifically, the physiological parameters that the monitoring device can measure can be obtained directly through measurement. When measuring physiological parameters through a measuring accessory, the monitoring device can obtain the measurement data of the physiological parameters from the measuring accessory.

[0060] The physiological parameter measurement method of this invention can obtain the medical history information of the measurement subject through the subject's identification. Based on the medical history information, the target physiological parameters to be measured can be automatically determined. Compared with the method of manually determining the physiological parameters to be measured, this reduces manual operation, shortens the measurement time, and greatly improves the work efficiency of medical staff and ward rounds. At the same time, determining the physiological parameters to be measured based on medical history information can improve the accuracy of physiological parameter selection.

[0061] Furthermore, after determining the target physiological parameters, they can be modified according to the actual situation, which provides great flexibility. Figure 2 This is a flowchart illustrating another method for measuring physiological parameters provided in an embodiment of the present invention.

[0062] Step 201: After determining the target physiological parameters, probe the first access interface for connecting to the first measurement accessory that matches the target physiological parameters.

[0063] In this embodiment, the monitoring device has a socket into which a measuring accessory matching a certain physiological parameter can be inserted to assist in measuring the physiological parameter.

[0064] After determining the target physiological parameter, the first access interface for inserting a first measurement accessory that matches the target physiological parameter is probed. For example, if blood pressure is the target physiological parameter, the access interface for connecting a blood pressure monitor can be probed.

[0065] Optionally, when the first access interface corresponding to one of the target physiological parameters is detected as a measurement accessory, a reminder message can be sent to medical staff. The reminder message can be a voice reminder or a text reminder, and the text reminder can be displayed on the operation interface. For example, if blood pressure is the target physiological parameter, but no blood pressure measurement accessory is detected, the monitoring device will display a reminder message: "Please insert a blood pressure measurement accessory."

[0066] Step 202: If a second access interface is detected, send an alert message.

[0067] In this embodiment, the second access interface is an access interface other than the first access interface that does not match the target physiological parameters. That is to say, the physiological parameters measured by the measurement accessory to which the second access interface belongs are not the target physiological parameters.

[0068] When the second access interface is detected, a notification message can be sent to remind medical staff that the inserted measurement accessory cannot measure the target physiological parameter. This notification can be either a voice message or a text message.

[0069] For example, if blood pressure is the target physiological parameter, but a blood oxygen saturation measuring accessory is detected, the monitoring device will display a reminder message: "Do you want to measure blood oxygen saturation?".

[0070] Step 203: If a confirmation message is received, the target physiological parameters are corrected using the detected second access interface; wherein, the second access interface is an access interface other than the first access interface that does not match the target physiological parameters.

[0071] In this embodiment, when medical staff determine that the measurement is performed through the measurement accessory belonging to the second access interface, they can confirm the measurement by using the confirmation button on the operation interface, or send a confirmation message to the monitoring device in a non-contact manner such as voice.

[0072] Furthermore, the monitoring device can receive a confirmation message and use the detected second access interface to correct the target physiological parameters. Specifically, physiological parameters that match the measurement accessory to which the second access interface belongs can be added to the target physiological parameters.

[0073] In this embodiment, after determining the target physiological parameters to be measured for the subject, medical staff can manually modify the target physiological parameters, for example, by inserting other measurement accessories. When an access interface of a measurement accessory that does not match the target physiological parameters is detected, the physiological parameters measured by the measurement accessory to which that access interface belongs can be added to the target physiological parameters to modify the target physiological parameters.

[0074] Based on the above embodiments, after obtaining the test results of the target physiological parameters, the test results can be displayed on the interactive interface. Figure 1 On this basis, Figure 3 This is a flowchart illustrating another physiological parameter measurement method provided in an embodiment of the present invention.

[0075] like Figure 3 As shown, the method for measuring this physiological parameter may also include:

[0076] Step 105: Compare the measurement data of the target physiological parameter with the preset standard threshold of the target physiological parameter.

[0077] To facilitate timely understanding of whether the measurement data of the target physiological parameters are normal, the measurement data of the target physiological parameters can be compared with the preset standard threshold of the target physiological parameters.

[0078] Specifically, standard thresholds for various physiological parameters can be pre-stored locally. After obtaining measurement data of the target physiological parameter, the measurement data of the target physiological parameter is compared with the preset standard threshold of the target physiological parameter.

[0079] Step 106: If the measurement data exceeds the standard threshold, obtain the deviation of the measurement data relative to the standard threshold.

[0080] If the measured data exceeds the standard threshold, the deviation of the measured data from the standard threshold is obtained. Specifically, the measured data can be subtracted from the standard threshold, and the difference is the deviation of the measured data from the standard threshold.

[0081] Step 107: Determine the display mode of the measurement data based on the deviation, and display the measurement data according to the display mode.

[0082] To highlight the deviation of the measurement data from the standard threshold, the display mode of the measurement data can be determined according to the degree of deviation.

[0083] As one possible implementation, multiple deviation ranges can be preset, with different deviation ranges corresponding to different display modes. The measurement data is displayed according to the deviation range to which the deviation of the measurement data relative to the standard threshold belongs.

[0084] Specifically, the deviation is compared with the upper and lower limits of each deviation range to identify the deviation range to which the deviation belongs. Based on the deviation range to which the deviation belongs, the display mode of the measurement data is determined to be the display mode corresponding to the deviation judgment to which the deviation belongs.

[0085] In this embodiment, different deviation ranges can be set to correspond to different display colors. As an example, when the deviation range is the range where the measured data slightly exceeds the standard threshold, the measured data is displayed in yellow; when the deviation range is the range where the measured data significantly exceeds the standard threshold, the measured data is displayed in red.

[0086] For example, suppose the deviation range of body temperature is [0.1℃~1.0℃] and greater than 1.0℃, and the two deviation ranges correspond to yellow and red displays, respectively. That is, when the measured body temperature exceeds the standard threshold of 37.0℃, and the deviation from the standard threshold of 37.0℃ is within [0.1℃~1.0℃], the measured body temperature is displayed as yellow; when the measured body temperature exceeds the standard threshold of 37.0℃, and the deviation from the standard threshold of 37.0℃ is greater than 1.0℃, the measured body temperature is displayed as red.

[0087] The physiological parameter measurement method of this invention determines the display mode of the measurement data based on the deviation of the measurement data from the standard threshold when the measurement data exceeds the standard threshold. Displaying the measurement data according to the display mode enables medical staff to intuitively understand the status of the measurement data and facilitates monitoring of the measured object.

[0088] The above embodiment determines the display mode by the deviation range to which the deviation of the measured data relative to the standard threshold belongs. As another possible implementation, it can generate the monitoring trend of the measured object under the target physiological parameters within a preset time period.

[0089] exist Figure 1 Based on the embodiment shown, the physiological parameter measurement method may further include: using the measurement data and the measurement data collected within a previously preset time period, generating a monitoring trend of the measurement object under the target physiological parameter according to the measurement time of the measurement data.

[0090] Specifically, the system retrieves measurement data of the target physiological parameters collected within a previously preset time period from the memory of the monitoring device, or retrieves such data from a server via a network. Then, using the measured data and the previously collected data, a monitoring trend of the measured object under the target physiological parameters is generated according to the measurement time of the measured data.

[0091] The monitoring trend can be a monitoring trend table, a monitoring trend graph, or other graphics that can represent the monitoring trend.

[0092] As an example, with time as the horizontal axis and measurement data as the vertical axis, the measurement data corresponding to the measurement time can be connected by lines according to the time sequence of the physiological parameters, thereby obtaining a monitoring trend graph of the target physiological parameter.

[0093] In this embodiment, by monitoring trends, medical staff can understand the changes in the target physiological parameters of the measured subject over a recent period of time.

[0094] To make the monitoring trend display of measurement data more intuitive, during the process of generating the monitoring trend of the measurement object under the target physiological parameters, the display mode of the measurement data can also be determined according to the deviation of the measurement data from the standard threshold, so that the measurement data can be displayed in the monitoring trend according to the display mode. Figure 4 This is a flowchart illustrating a method for displaying measurement data in a monitoring trend according to a display mode, as provided in an embodiment of the present invention.

[0095] like Figure 4 As shown, the method includes:

[0096] Step 401: For each measurement data point, compare the measurement data with a preset standard threshold for the target physiological parameter.

[0097] For a specific target physiological parameter, for each measurement data point, the measurement data is compared with the preset standard threshold of the target physiological parameter.

[0098] Specifically, standard thresholds for various physiological parameters can be pre-stored locally, and the measurement data of the target physiological parameter can be compared with the preset standard threshold of the target physiological parameter.

[0099] Step 402: If the measurement data exceeds the standard threshold, obtain the deviation of the measurement data relative to the standard threshold.

[0100] If the measured data exceeds the standard threshold, the deviation of the measured data from the standard threshold is obtained. Specifically, the measured data can be subtracted from the standard threshold, and the difference is the deviation of the measured data from the standard threshold.

[0101] Step 403: Determine the display mode of the measurement data based on the deviation, and display the measurement data in the monitoring trend according to the display mode.

[0102] In this embodiment, a correspondence between the deviation range to which the deviation belongs and the display mode can be established in advance. As an example, a correspondence between the deviation range and the color of the measurement data can be established so as to highlight the measurement data by color.

[0103] For each deviation, the deviation range to which the deviation belongs is identified. Based on the display mode corresponding to the deviation range, the display mode for the measurement data can be determined. Then, the measurement data is displayed in the monitoring trend according to the display mode.

[0104] As another example, in a monitoring trend graph, circles are used to represent the body temperature at a certain point in time. A correspondence can be established between the deviation range and the fill color of the circles in the monitoring trend graph, so as to highlight the measurement data by filling the color.

[0105] Taking the target physiological parameter body temperature as an example, assuming the standard threshold for body temperature is 37.0℃, when the measured body temperature exceeds the standard threshold within the deviation range of (0, 0.5℃), that is, when the body temperature is between (37.0℃, 37.5℃), it indicates that the body temperature is slightly high, and this is represented by a white circle in the monitoring trend graph; when the deviation range is between (0.5℃, 1.0℃), that is, when the body temperature is between (37.5℃, 38.0℃), it is represented by a gray circle in the monitoring trend graph; when the deviation range is greater than 1.0℃, that is, when the body temperature is greater than 38.0℃, it indicates that the body temperature is high, and this is represented by a black circle in the monitoring trend graph. Figure 5 This is a trend chart of a test subject's body temperature monitoring from 8:00 AM to 12:00 AM throughout the day. It should be noted that... Figure 5 This is just one example.

[0106] Medical staff measured the body temperature of test subjects every two hours starting at 8:00 AM using monitoring equipment. The monitoring equipment retrieved the temperature data measured during this time period from memory or a server. Then, using time as the horizontal axis and temperature as the vertical axis, a smooth curve was connected at each test time point to generate a temperature monitoring trend graph. Figure 5 As can be seen, the test subject's body temperature at 8 o'clock was 39.5℃, which was significantly different from the standard threshold. As time went on, the test subject's body temperature gradually approached the standard threshold.

[0107] Since the body temperature measured between 8:00 AM and 4:00 PM exceeded 38°C, the body temperature during this period is represented by a black-filled circle in the monitoring trend graph; the deviation of the body temperature measured at 6:00 PM and 8:00 PM from the standard threshold of 37.0°C falls within the range of (0.5°C, 1.0°C), so the body temperature during this period is represented by a gray-filled circle; the deviation of the body temperature measured at 10:00 PM and 12:00 AM from the standard threshold of 37.0°C falls within the range of (0, 0.5°C), so the body temperature measured at these two times is represented by a white-filled circle.

[0108] In this embodiment, by displaying the trend test data in the monitoring mode, medical staff can more intuitively understand the relationship between the test data and the standard threshold at each test time within the previously preset duration, and can also understand the changing trend of the test data within the previously preset duration through trend monitoring.

[0109] Understandably, when the measured data is below the standard threshold, the test data can be subtracted from the standard threshold to obtain the deviation, and the display mode of the measured data can be determined according to the deviation range to which the deviation belongs.

[0110] Furthermore, after measuring and obtaining the target physiological parameters on the object, the measurement data can be reported to the server via the network, and the server stores the test data according to the identity identifier.

[0111] In this embodiment, the measurement data of the target physiological parameters are uploaded to the server, so that doctors can obtain the measurement data of the target physiological parameters of the measured object from the server through the network, which makes it easier for doctors to make a diagnosis based on the test data.

[0112] Currently, medical staff need to input patient information before measuring physiological parameters. Due to the large number of patients, relying entirely on manual input and registration of patient information is extremely inefficient and prone to errors, leading to misdiagnosis and medical accidents. Furthermore, for the same patients, this registration process needs to be repeated daily, which is cumbersome and affects the efficiency of ward rounds for medical staff.

[0113] To further improve the work efficiency and ward round efficiency of hospital staff, the primary identification information of the measurement subject can be obtained, and the subject's identity can be determined based on this information. This primary identification information may include biometric information (such as face, fingerprint, iris, etc.), social security card, identification code, etc.

[0114] exist Figure 1 Based on the illustrated embodiment, step 101 can be achieved through... Figure 6 The process shown is implemented as follows: Figure 6 This is a flowchart illustrating another method for measuring physiological parameters provided in an embodiment of the present invention.

[0115] like Figure 6 As shown, the method for measuring this physiological parameter includes:

[0116] Step 601: Obtain the first identification information of the object being measured.

[0117] As an example, if the first identification information is used as biometric information, biometric information can be collected through a biometric information collection device on the monitoring device. For example, if the monitoring device is equipped with a camera, it can capture the facial image of the subject being measured. Alternatively, if the monitoring device is equipped with a fingerprint collection device, it can collect the fingerprint of the subject being measured.

[0118] As another example, when the first identification information is a social security card or identification code, medical staff can enter the social security card number of the person being measured on the interactive interface of the monitoring device, or scan the identification code of the person being measured, so that the monitoring device can obtain the first identification information.

[0119] Step 602: Match the first identifier information in the database.

[0120] In this embodiment, the database stores identity identifiers and corresponding first identifier information. After obtaining the first identifier information of the measurement object, the corresponding identity identifier can be searched in the database.

[0121] One possible implementation is to match the first identification information in a local database, which contains the identity identifiers and first identification information of multiple measurement objects. Upon receiving the first identification information of a measurement object, the system searches the local database for first identification information that matches the first identification information of the measurement object, and displays the matching result on the interface.

[0122] The matching results include audible and visual alarms, text displays, etc. For example, when a match is successful, the monitoring device displays "Pairing Successful" and shows the personal information of the person being measured. When a match fails, it displays "This user does not exist." The personal information of the person being measured includes: name, identification, gender, age, height, weight, department, bed number, and state of consciousness.

[0123] As another possible implementation, the monitoring device sends the acquired first identification information to the server for matching. Specifically, after receiving the first identification information of the object being measured, the server compares it with first identification information stored in its database. When a matching first identification information is found in the database, the server returns the successful match result and the corresponding identity identifier to the monitoring device. When no matching first identification information is found, the server returns a failed match result to the monitoring device. The monitoring device then displays the matching results on its interface.

[0124] Step 603: When an identity identifier corresponding to the first identifier information is matched, the corresponding identity identifier is used as the identity identifier of the measurement object.

[0125] When an identity identifier corresponding to the first identifier information is matched in the database, the corresponding identity identifier is used as the identity identifier of the measurement object.

[0126] For example, before measuring the physiological parameters of a subject, a facial image of the subject is acquired and compared with facial images in a database. When a matching facial image is found in the database, the identity identifier corresponding to that image is used as the subject's identity identifier.

[0127] After obtaining the identification of the measurement subject, medical history information is obtained based on the identification, and the target physiological parameters that need to be measured for the measurement subject are determined based on the medical history information.

[0128] To avoid identification errors due to similar characteristics of different measurement subjects, which could lead to incorrect identification of the measurement subject and consequently errors in the recording of physiological parameter data, other personal information of the measurement subject, such as name, gender, age, department, past medical history, and allergy history, can be obtained based on the identification before measuring the target physiological parameter. This information can then be displayed on the monitoring device to confirm the identity of the measurement subject.

[0129] After confirming the identity information of the measurement subject, measurement data of the target physiological parameters are obtained by measuring the subject. For details, please refer to the above embodiment, which will not be repeated here.

[0130] Furthermore, the method for measuring this physiological parameter may also include:

[0131] Step 604: If no identity identifier corresponding to the first identifier information is matched, the process of creating an identity identifier for the measurement object is initiated.

[0132] When no identity identifier corresponding to the first identifier information is found in the database, it means that there is no identity identifier for the measured object in the database. An identity identifier needs to be created for the measured object, and the monitoring device enters the process of creating an identity identifier for the measured object.

[0133] Step 605: Create the identity identifier for the measurement object according to the processing flow, and bind the identity identifier with the first identifier information.

[0134] In this embodiment, an identity identifier is created for the measurement object according to the process of creating an identity identifier. Specifically, the monitoring device displays an information input interface on the interactive interface, on which the identity identifier of the measurement object, as well as other personal information, such as the type of the measurement object (adult / child / newborn), name, age, height, weight, department, bed number, state of consciousness, etc., are filled in.

[0135] After obtaining the identity identifier of the measurement object, the monitoring device binds the identity identifier and the first identifier information of the measurement object according to the received binding instruction. Thus, the identity identifier and other personal information of the measurement object can be obtained based on the first identifier information of the measurement object.

[0136] To ensure the accuracy of the measured information, medical staff can have the subject confirm the information displayed on the interface before binding. After confirmation, the medical staff can click the binding button on the interface. The monitoring device receives the binding instruction and binds the subject's identity identifier and primary identification information.

[0137] Furthermore, while creating the identification, the medical history information of the measurement subject is collected. For example, based on the description of the measurement subject, historical measurement data of the subject's physiological parameters, past medical history data, etc., are entered on the interface so that the monitoring device can determine the physiological parameters that need to be measured based on the medical history information.

[0138] Understandably, when the person being measured has no medical history information, "None" can be entered directly.

[0139] Furthermore, the monitoring equipment can also upload the patient's identification information, primary identification information, and other personal information to a server via the network. This allows doctors to obtain relevant patient information from the server, facilitating diagnosis. Additionally, another similar monitor in the same or other departments of the hospital can also access the patient's data from the server via the network, and obtain the patient's information in the same way, enabling intelligent ward rounds.

[0140] The physiological parameter measurement method of this invention, after acquiring the first identification information, can automatically match it with the first identification information in the database. When no existing measurement object is found, it can automatically enter the process of creating an identity identifier, quickly binding it with the identity identifier of the measurement object; when an identity identifier corresponding to the first identification information is found, the identity identifier of the measurement object can be automatically obtained. Compared with inputting or registering the identity information of the measurement object each time, it can shorten the ward round time of medical staff and greatly improve work efficiency.

[0141] Furthermore, the physiological measurement method of this invention can accurately identify the measurement object through the first identification information of the measurement object, and can find the historical measurement data of the physiological parameters of the measurement object, review its physiological parameters and monitoring trends, and has plasticity, so as to facilitate the query of historical abnormal measurement data.

[0142] To achieve the above embodiments, the present invention also proposes a physiological parameter measurement device. Figure 7This is a schematic diagram of a physiological parameter measuring device provided in an embodiment of the present invention.

[0143] like Figure 7 As shown, the physiological parameter measuring device includes: a first acquisition module 710, a second acquisition module 720, a determination module 730, and a third acquisition module 740.

[0144] The first acquisition module 710 is used to acquire the identity identifier of the measurement object.

[0145] The second acquisition module 720 is used to acquire the medical history information of the measurement subject based on the identity identifier.

[0146] The determination module 730 is used to determine the target physiological parameters that need to be measured for the subject based on medical history information.

[0147] The third acquisition module 740 is used to acquire measurement data of target physiological parameters on the measurement object.

[0148] In one possible implementation of this embodiment, when the medical history information includes historically measured physiological parameters, the determining module 730 is further configured to:

[0149] Extract abnormal physiological parameters from historically measured physiological parameters and use these abnormal physiological parameters as target physiological parameters.

[0150] In one possible implementation of this embodiment, the determining module 730 is further configured to:

[0151] If there are no abnormal physiological parameters among the historical physiological parameters, then the total number of measurements for each historical physiological parameter is counted.

[0152] The physiological parameters of all historical measurements were sorted according to the total number of measurements.

[0153] Select a preset number of historically measured physiological parameters as target physiological parameters in descending order of their value.

[0154] In one possible implementation of this embodiment, when the medical history information does not include historically measured physiological parameters, the determining module 730 is further configured to:

[0155] Extract the subject's past medical history data from the medical history information;

[0156] Analyze past medical history data to determine the target physiological parameters of the subjects.

[0157] In one possible implementation of this embodiment, the device may further include:

[0158] The first detection module is used to detect the access interface for connecting to the measurement accessory when the target physiological parameters cannot be determined based on the medical history information.

[0159] The determination module 730 is also used to determine the target's physiological parameters based on the detected access interface.

[0160] In one possible implementation of this embodiment, the device may further include:

[0161] The second detection module is also used to detect the first access interface for connecting to the first measurement accessory that matches the target physiological parameters after the target physiological parameters are determined.

[0162] The alert module is used to send an alert message if a second access interface is detected.

[0163] The correction module is used to correct the target physiological parameters using the detected second access interface if a confirmation message is received; wherein the second access interface is an access interface other than the first access interface that does not match the target physiological parameters.

[0164] In one possible implementation of this embodiment, the device may further include:

[0165] The comparison module is used to compare the measurement data of the target physiological parameter with the preset standard threshold of the target physiological parameter after the measurement results of the target physiological parameter are obtained on the measurement object.

[0166] The fourth acquisition modulus is used to acquire the deviation of the measurement data from the standard threshold when the measurement data exceeds the standard threshold.

[0167] The first display module is used to determine the display mode of the measurement data based on the deviation, and to display the measurement data according to the display mode.

[0168] In one possible implementation of this embodiment, the first display module is further configured to:

[0169] Identify the deviation range to which the deviation belongs, where different deviation ranges correspond to different display modes;

[0170] Determine the display mode of the measurement data based on the deviation range to which the deviation belongs.

[0171] In one possible implementation of this embodiment, the device may further include:

[0172] The generation module is used to generate a monitoring trend of the target physiological parameter of the measurement object after measuring and obtaining the measurement data of the target physiological parameter on the measurement object, using the measurement data and the measurement data collected within the previously preset time period, according to the measurement time of the measurement data.

[0173] In one possible implementation of this embodiment, the generation module is further configured to:

[0174] The process of generating monitoring trends for subjects measured under target physiological parameters includes:

[0175] For each measurement data point, the measurement data is compared with a pre-defined standard threshold for the target physiological parameter;

[0176] If the measured data exceeds the standard threshold, obtain the deviation of the measured data relative to the standard threshold;

[0177] Based on the deviation, determine the display mode of the measurement data, and display the measurement data in the monitoring trend according to the display mode.

[0178] In one possible implementation of this embodiment, the device may further include:

[0179] The storage module is used to report the measurement data of the target physiological parameters to the server and store it according to the identity identifier after measuring the target object.

[0180] In one possible implementation of this embodiment, the first acquisition module 710 is further configured to:

[0181] Obtain the first identification information of the object being measured;

[0182] Match the first identifier information in the database;

[0183] When an identity identifier corresponding to the first identifier is matched, the corresponding identity identifier is used as the identity identifier of the measurement object.

[0184] In one possible implementation of this embodiment, the first acquisition module 710 is further configured to:

[0185] If no identity identifier corresponding to the first identifier information is found, the process of creating an identity identifier for the measurement object will begin.

[0186] According to the processing procedure, an identity identifier is created for the measurement object, and the identity identifier is bound to the first identifier information.

[0187] In one possible implementation of this embodiment, the first acquisition module 710 is further configured to:

[0188] While creating identity identifiers, medical history information of the measurement subjects is collected.

[0189] It should be noted that the foregoing explanation of the physiological parameter measurement method embodiment also applies to the physiological parameter measurement device of this embodiment, and will not be repeated here.

[0190] The physiological parameter measurement device of this invention acquires the identity identifier of the measurement subject, obtains the subject's medical history information based on the identity identifier, determines the target physiological parameters to be measured based on the medical history information, and then measures the target physiological parameters on the measurement subject to obtain measurement data. In this embodiment, the medical history information of the measurement subject is obtained based on the identity identifier, and the target physiological parameters to be measured are automatically determined based on the medical history information. Compared with the method of manually determining the physiological parameters to be measured, this reduces manual operation, shortens the measurement time, and greatly improves the work efficiency of medical staff and ward rounds. At the same time, determining the physiological parameters to be measured based on medical history information can improve the accuracy and convenience of physiological parameter selection.

[0191] To implement the above embodiments, the present invention also provides a computer device, including a processor and a memory;

[0192] The processor reads executable program code stored in memory to run a program corresponding to the executable program code, so as to implement the physiological parameter measurement method as described in the foregoing embodiments.

[0193] To implement the above embodiments, the present invention also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the physiological parameter measurement method as described in the foregoing embodiments.

[0194] To implement the above embodiments, the present invention also proposes a computer program product that, when the instructions in the computer program product are executed by a processor, implements the physiological parameter measurement method as described in the foregoing embodiments.

[0195] Figure 8 A block diagram of an exemplary computer device suitable for implementing embodiments of the present invention is shown. Figure 8 The computer device 12 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0196] like Figure 8 As shown, the computer device 12 is represented in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0197] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0198] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0199] Memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 8 Not shown; usually referred to as a "hard drive"). Although Figure 8 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disc drive for reading and writing to a removable non-volatile optical disc (e.g., a compact disc read-only memory (CD-ROM), a digital video disc read-only memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0200] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this application.

[0201] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with computer device 12, and / or with any device that enables computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0202] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the methods mentioned in the foregoing embodiments.

[0203] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0204] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0205] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of the invention pertain.

[0206] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0207] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0208] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0209] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0210] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for measuring physiological parameters, characterized in that, include: Obtain the identity identifier of the measurement object; Based on the identity identifier, obtain the medical history information of the measurement subject, which includes the physiological parameters measured in the past and / or the past medical history data of the measurement subject; Based on the medical history information, determine the target physiological parameters that need to be measured for the subject; Measurement data of the target physiological parameters are obtained by measuring the object being measured. The step of determining the target physiological parameters to be measured for the subject based on the medical history information includes: When the medical history information includes the historically measured physiological parameters, and there are abnormally measured physiological parameters among the historically measured physiological parameters, the abnormally measured physiological parameters are used as the target physiological parameters. If the medical record information includes the historically measured physiological parameters, and there are no abnormally measured physiological parameters among the historically measured physiological parameters, then the total number of measurements for each historically measured physiological parameter is counted, and all historically measured physiological parameters are sorted according to the total number of measurements. A preset number of historically measured physiological parameters are selected as the target physiological parameters in descending order. When the medical record information does not include the physiological parameters measured in the past, but includes previous medical record data, semantic analysis is performed on the previous medical record data to determine the target physiological parameters of the measurement object.

2. The method according to claim 1, characterized in that, Also includes: When the target physiological parameter cannot be determined based on the medical history information, the access interface used to connect the measurement accessory is probed. The target physiological parameters are determined based on the detected access interface.

3. The method according to claim 1, characterized in that, Also includes: After determining the target physiological parameters, the first access interface for connecting to the first measurement accessory that matches the target physiological parameters is probed; If a second access interface is detected, an alert message will be sent. If a confirmation message is received, the target physiological parameters are corrected using the detected second access interface; wherein the second access interface is an access interface other than the first access interface that does not match the target physiological parameters.

4. The method according to claim 1, characterized in that, After obtaining the measurement results of the target physiological parameters on the measurement object, the method further includes: The measurement data of the target physiological parameter are compared with the preset standard threshold of the target physiological parameter; If the measured data exceeds the standard threshold, the deviation of the measured data relative to the standard threshold is obtained; Based on the deviation, determine the display mode of the measurement data, and display the measurement data according to the display mode.

5. The method according to claim 1, characterized in that, After obtaining measurement data of the target physiological parameters on the measurement object, the method further includes: Using the measurement data and the measurement data collected within a previously preset time period, a monitoring trend of the measured object under the target physiological parameters is generated according to the measurement time of the measurement data.

6. The method according to claim 5, characterized in that, The process of generating the monitoring trend of the measured object under the target physiological parameters includes: For each measurement data point, the measurement data is compared with a preset standard threshold for the target physiological parameter; If the measured data exceeds the standard threshold, the deviation of the measured data relative to the standard threshold is obtained; Based on the deviation, a display mode for the measurement data is determined, and the measurement data is displayed according to the monitoring trend in accordance with the display mode.

7. The method according to claim 1, characterized in that, The process of obtaining the identity identifier of the measurement object includes: Obtain the first identification information of the object being measured; The first identifier information is matched against the database; When an identity identifier corresponding to the first identifier information is matched, the corresponding identity identifier is used as the identity identifier of the measurement object; If no identity identifier corresponding to the first identifier information is found, the process of creating the identity identifier for the measurement object is initiated. The identity identifier is created for the measurement object according to the processing flow, and the identity identifier is bound to the first identifier information; While creating the identity identifier, the medical history information of the measurement subject is collected.

8. A physiological parameter measuring device, characterized in that, include: The first acquisition module is used to acquire the identity identifier of the measurement object; The second acquisition module is used to acquire the medical history information of the measurement object based on the identity identifier, wherein the medical history information includes physiological parameters measured in the past and / or the measurement object's past medical history data; The determination module is used to determine the target physiological parameters that need to be measured for the measurement subject based on the medical history information; The third acquisition module is used to acquire measurement data of the target physiological parameters on the measurement object; Specifically, the determining module is used for: When the medical history information includes the historically measured physiological parameters, and there are abnormally measured physiological parameters among the historically measured physiological parameters, the abnormally measured physiological parameters are used as the target physiological parameters. If the medical record information includes the historically measured physiological parameters, and there are no abnormally measured physiological parameters among the historically measured physiological parameters, then the total number of measurements for each historically measured physiological parameter is counted, and all historically measured physiological parameters are sorted according to the total number of measurements. A preset number of historically measured physiological parameters are selected as the target physiological parameters in descending order. When the medical record information does not include the physiological parameters measured in the past, but includes previous medical record data, semantic analysis is performed on the previous medical record data to determine the target physiological parameters of the measurement object.

9. A computer device, characterized in that, Including processor and memory; The processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the physiological parameter measurement method as described in any one of claims 1-7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the physiological parameter measurement method as described in any one of claims 1-7.

11. A computer program product, characterized in that, When the instructions in the computer program product are executed by a processor, the physiological parameter measurement method as described in any one of claims 1-7 is implemented.

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