CN111265189A - Medical monitoring early warning method and system - Google Patents

Abstract

The invention relates to the medical field, and specifically discloses a medical monitoring early warning method and system. The method includes: obtaining the parameter score value corresponding to the measured value of the target physiological parameter; determining the total score value according to each parameter score value and its corresponding weight coefficient; when the total score value is not less than the preset score value threshold, according to the total score value. The score selects at least one target medical intervention plan among multiple medical intervention plans, and activates the target medical intervention plan. Under this method, abnormal physiological conditions of patients can be detected in time, and timely and effective medical intervention measures can be provided for patients.

Description

A kind of medical monitoring early warning method and system

technical field

The invention relates to the field of medical technology, in particular to a medical monitoring early warning method and system.

Background technique

With the rise of the concept of the Internet of Things (Internet of Things), a large number of new technologies, new products, new applications, and new models are constantly emerging, which promotes the transformation of information technology from mobile Internet to Internet of Everything, and combines the Internet of Things and artificial intelligence. , from security to city management, from smart home to smart life, from smart medical to precision medical, etc., boosting the digital transformation and upgrading of all walks of life.

In the medical field, the medical Internet of Things includes the somatosensory network, which captures and transmits the physiological parameters of the human body (such as human blood pressure, pulse, blood sugar, ECG, body temperature, respiration, etc.) through medical sensors and mobile communication devices. These physiological parameters are monitored and uploaded to the server for reference by medical staff or relatives and friends, so as to effectively monitor and prevent diseases. At present, under the existing medical system in our country, the shortage of medical resources and the serious uneven distribution have led to the frequent occurrence of difficulties in seeking medical treatment. A doctor often needs to deal with a large number of patients, and cannot take care of the physiological changes of each patient in time, so that he cannot take more timely and effective medical intervention measures for patients. Therefore, how to detect abnormal physiological conditions of patients in time and provide timely and effective intervention measures has become an urgent problem to be solved.

SUMMARY OF THE INVENTION

In order to solve the technical problem in the related art that the abnormal physiological condition of the patient cannot be found in time and provide timely and effective intervention measures, the present invention provides a medical monitoring early warning method and system.

A first aspect of the embodiments of the present invention discloses a medical monitoring early warning method, the method includes:

Obtain the parameter score value corresponding to the measured value of the target physiological parameter;

Determine the total score value according to the score value of each said parameter and its corresponding weight coefficient;

When the total score value is not less than the preset score value threshold, at least one target medical intervention plan is selected from a plurality of medical intervention plans according to the total score value, and the target medical intervention plan is activated.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the obtaining the parameter score value corresponding to the measured value of the target physiological parameter includes:

Determine the target physiological parameter from several physiological parameters to be measured;

The measured value of the target physiological parameter is acquired, and the parameter score value corresponding to each measured value of the target physiological parameter is calculated.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the calculating a parameter score value corresponding to the measured value of each of the target physiological parameters includes:

Set corresponding upper and lower boundary values for each of the target physiological parameters;

According to the upper and lower boundary values and the measurement values, a fuzzy membership function is used to calculate a parameter score value corresponding to each measurement value.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determination of the total score value according to the score value of each parameter and its corresponding weight coefficient includes:

Multiply each of the parameter score values and their corresponding weight coefficients to obtain a multiplication result;

A total score value is obtained by accumulating each of the product results.

A second aspect of the embodiment of the present invention discloses a medical monitoring early warning system, including:

an acquisition unit for acquiring the parameter score value corresponding to the measured value of the target physiological parameter;

a determining unit, configured to determine a total score value according to each of the parameter score values and its corresponding weight coefficient;

a judging unit for judging whether the total score value is not less than a preset score value threshold;

a selection unit, configured to select at least one target medical intervention plan from a plurality of medical intervention plans according to the total score value when the total score value is not less than a preset score value threshold;

A start-up unit, configured to start the target medical intervention plan.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the obtaining unit includes:

a determination subunit for determining a target physiological parameter from several physiological parameters to be measured;

an acquisition subunit for acquiring the measured value of the target physiological parameter;

The calculation subunit is used to calculate the parameter score value corresponding to the measured value of each target physiological parameter.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the method for the calculation subunit to calculate the parameter score value corresponding to the measurement value of each of the target physiological parameters is specifically:

Set corresponding upper and lower boundary values for each of the target physiological parameters;

According to the upper and lower boundary values and the measurement values, a fuzzy membership function is used to calculate a parameter score value corresponding to each measurement value.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the determining unit includes:

a product subunit, used to multiply each of the parameter score values and their corresponding weight coefficients to obtain a product result;

The accumulating subunit is used for accumulating each product result to obtain a total score value.

A third aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the medical monitoring early warning method disclosed in the first aspect of the embodiments of the present invention.

A fourth aspect of the embodiments of the present invention discloses an electronic device, and the electronic device includes:

processor;

A memory, where computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by the processor, implement the aforementioned method.

The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

The medical monitoring early warning method provided by the present invention includes the following steps: obtaining the parameter score value corresponding to the measured value of the target physiological parameter; determining the total score value according to each parameter score value and its corresponding weight coefficient; when the total score value is not less than When the score value threshold is preset, at least one target medical intervention plan is selected from the multiple medical intervention plans according to the total score value, and the target medical intervention plan is activated.

Under this method, the patient's physiological condition can be instantly judged according to the total score value of multiple target physiological parameters, and a corresponding medical intervention plan can be taken when it is judged that the patient's physiological condition is abnormal, which solves the problems existing in the prior art. The problem of inability to detect abnormal physiological conditions of patients in a timely manner and to provide timely and effective interventions.

It is to be understood that the foregoing general description and the following detailed description are exemplary only and do not limit the invention.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

1 is a flowchart of a medical monitoring early warning method according to an exemplary embodiment;

2 is a flowchart of another medical monitoring early warning method according to an exemplary embodiment;

3 is a block diagram of a medical monitoring early warning system according to an exemplary embodiment;

Fig. 4 is a block diagram of another medical monitoring early warning system according to an exemplary embodiment.

Detailed ways

The description will now be made in detail of exemplary embodiments, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with some aspects of the invention as recited in the appended claims.

Fig. 1 is a flow chart of a medical monitoring early warning method according to an exemplary embodiment. As shown in Figure 1, this method includes the following steps.

In step 101, the medical monitoring and early warning system obtains the parameter score value corresponding to the measured value of the target physiological parameter.

In the embodiment of the present invention, the medical monitoring and early warning system can obtain target physiological parameters by monitoring the breathing, blood pressure, pulse, consciousness, body temperature, urine volume, etc. of the user patient in real time; wherein, the target physiological parameters may include but are not limited to heart rate, Systolic blood pressure, respiratory rate, body temperature and consciousness, etc.

In the embodiment of the present invention, each target physiological parameter may be preset with at least one parameter score value corresponding to the measurement value range according to the existing research on the physiological parameter or expert experience, and according to the numerical range in which the parameter is usually located. For example, the target physiological parameter can be heart rate, then the parameter score corresponding to (0~40) times/min can be preset to be 2, and the parameter score corresponding to (41~50) times/min 1. The parameter score corresponding to (51~100) times/min is 0, the parameter score corresponding to (101~110) times/min is 1, and the parameter score corresponding to (111~130) times/min is 2.

In step 102, the medical monitoring and early warning system determines the total score value according to the score value of each parameter and its corresponding weight coefficient.

In the embodiment of the present invention, each target physiological parameter may correspond to a preset weight coefficient, and further, the parameter score value corresponding to the measured value of each target physiological parameter may also correspond to the weight coefficient.

As an optional implementation, the medical monitoring early warning system determines the total score value according to the score value of each parameter and its corresponding weight coefficient, which may include:

Multiply the score value of each parameter and its corresponding weight coefficient to obtain the product result;

The total score value is obtained by adding up each product result.

In the embodiment of the present invention, in particular, if the weight coefficient corresponding to each target physiological parameter is 1, then the accumulation of each of the above product results can be regarded as the parameter corresponding to the measured value of each target physiological parameter The sum of the rating values.

Step 103, when the total score value is not less than the preset score value threshold, the medical monitoring early warning system selects at least one target medical intervention plan among the multiple medical intervention plans according to the total score value, and starts the target medical intervention plan.

In this embodiment of the present invention, each medical intervention plan may be pre-bound with a score range, and at least one target medical intervention plan may be selected from multiple medical intervention plans according to the score range in which the total score value is located. For example, medical intervention plan A corresponds to a score range of (0~2) points, the main content is that no hospitalization is required, and doctors or ICU staff are reminded to evaluate the patient's condition and adjust the medical treatment plan; medical intervention plan B corresponds to The score range of (2~4) points, the main content is that no hospitalization is required, and the user's physiological parameter data is provided to the doctor, so that the doctor can identify the severity of the patient's disease according to the user's physiological parameter data; medical intervention plan C The corresponding score range is (4-8) points. Patients with higher scores are at increased risk of disease changes, patients are at risk of "potentially critically ill", and the risk of staying in specialized wards or even ICU is increased. The interval frequency at which the hospital sends the patient's physiological parameter data, and makes an appointment with the hospital for a specialized ward; the corresponding score range of the medical intervention plan D is 9 points and above, and the patient's death risk is significantly increased, and the patient needs to be admitted to the ICU ward for treatment. The content is to send the patient's physiological parameter data to the hospital and make an appointment for the doctor for surgical treatment. When the total score is 4 points, medical intervention plan B can be selected.

It can be seen that by implementing the medical monitoring and early warning method described in Figure 1, the patient's physiological condition can be instantly judged according to the total score value of multiple target physiological parameters, and corresponding medical intervention plans can be taken when it is judged that the patient's physiological condition is abnormal. , which solves the problems existing in the prior art that the abnormal physiological condition of the patient cannot be detected in time and the timely and effective intervention measures cannot be provided.

Please refer to FIG. 2 , which is a schematic flowchart of another medical monitoring early warning method disclosed in an embodiment of the present invention. Wherein, as shown in Figure 2, the medical monitoring early warning method may include the following steps:

In step 201, the medical monitoring and early warning system determines a target physiological parameter from several physiological parameters to be measured.

In step 202, the medical monitoring and early warning system obtains the measured value of the target physiological parameter, and calculates the parameter score value corresponding to the measured value of each target physiological parameter.

As an optional implementation, the medical monitoring early warning system calculates the parameter score value corresponding to the measured value of each target physiological parameter, which may specifically include:

Set corresponding upper and lower boundary values for each target physiological parameter;

According to the upper and lower boundary values and the measured values of the above target physiological parameters, a fuzzy membership function is used to calculate the parameter score value corresponding to each measured value.

In the embodiment of the present invention, the above-mentioned upper and lower boundary values of the physiological parameter may be set according to the existing research on the physiological parameter index or expert experience, and according to the numerical range in which the parameter is usually located, which is not limited in the embodiment of the present invention.

In this embodiment of the present invention, the medical monitoring early warning method may further include steps 203 to 204. For the description of steps 203 to 204, please refer to the detailed description of steps 102 to 103 in Embodiment 1, which is not repeated in this embodiment of the present invention.

It can be seen that by implementing the medical monitoring and early warning method described in Figure 2, the patient's physiological condition can be instantly judged according to the total score value of multiple target physiological parameters, and a corresponding medical intervention plan can be taken when it is judged that the patient's physiological condition is abnormal. , which solves the problems existing in the prior art that the abnormal physiological condition of the patient cannot be detected in time and the timely and effective intervention measures cannot be provided.

Fig. 3 is a block diagram of a medical monitoring early warning system according to an exemplary embodiment. As shown in Figure 3, the system includes:

The obtaining unit 301 is configured to obtain the parameter score value corresponding to the measured value of the target physiological parameter, and provide it to the determining unit 302 .

The determination unit 302 is configured to determine the total score value according to the score value of each parameter and its corresponding weight coefficient, and provide the total score value to the judgment unit 303 .

The judging unit 303 is used for judging whether the total score value is not less than the preset score value threshold.

The selecting unit 304 is configured to select at least one target medical intervention plan among the multiple medical intervention plans according to the total score value when the above-mentioned judging unit 303 judges that the above-mentioned total score value is not less than the preset score value threshold, and trigger the starting unit 305 start up.

The starting unit 305 is used for starting the target medical intervention plan.

It can be seen that by implementing the system described in Figure 3, the patient's physiological condition can be instantly judged according to the total score value of multiple target physiological parameters, and the corresponding medical intervention plan can be taken when it is judged that the patient's physiological condition is abnormal. There are problems in the prior art that the abnormal physiological conditions of patients cannot be detected in time and timely and effective intervention measures cannot be provided.

Please refer to FIG. 4 , which shows a block diagram of another medical monitoring early warning system according to an exemplary embodiment, wherein the system shown in FIG. 4 is obtained by further optimizing the system shown in FIG. 3 . Compared with the medical monitoring early warning system shown in FIG. 3 , in the medical monitoring early warning system shown in FIG. 4 , the obtaining unit 301 may include:

The determining subunit 3011 is configured to determine the target physiological parameter from several physiological parameters to be measured, and provide the target physiological parameter to the obtaining subunit 3012 .

The acquisition subunit 3012 is used to acquire the measured value of the target physiological parameter and provide it to the calculation subunit 3013 .

The calculation subunit 3013 is configured to calculate the parameter score value corresponding to the measured value of each target physiological parameter.

As an optional implementation manner, the specific method for calculating the parameter score value corresponding to the measured value of each target physiological parameter by the above calculation subunit 3013 may be:

The corresponding upper and lower boundary values are set for each target physiological parameter; according to the upper and lower boundary values and the measured values, the fuzzy membership function is used to calculate the parameter score value corresponding to each measured value.

As an optional implementation manner, the foregoing determining unit 302 may include:

The product subunit 3021 is configured to multiply each parameter score value and its corresponding weight coefficient to obtain a multiplication result, and provide the multiplication result to the accumulation subunit 3022 .

The accumulation subunit 3022 is configured to accumulate each product result to obtain a total score value.

It can be seen that by implementing the system described in Figure 4, the patient's physiological condition can be instantly judged according to the total score value of multiple target physiological parameters, and the corresponding medical intervention plan can be taken when it is judged that the patient's physiological condition is abnormal. There are problems in the prior art that the abnormal physiological conditions of patients cannot be detected in time and timely and effective intervention measures cannot be provided.

The present invention also provides an electronic device comprising:

processor;

A memory, where computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by the processor, the medical monitoring and early warning method shown above is implemented.

In an exemplary embodiment, the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the medical monitoring early warning method as shown above.

It should be understood that the present invention is not limited to the precise structures described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from its scope. The scope of the present invention is limited only by the appended claims.

Claims (8)

1. A medical monitoring and early warning method is characterized by comprising the following steps:

acquiring a parameter score value corresponding to a measured value of a target physiological parameter;

determining a total score value according to each parameter score value and the corresponding weight coefficient;

and when the total score value is not less than a preset score value threshold, selecting at least one target medical intervention plan from a plurality of medical intervention plans according to the total score value, and starting the target medical intervention plan.

2. The method of claim 1, wherein obtaining the parameter score value corresponding to the measured value of the target physiological parameter comprises:

determining a target physiological parameter from a plurality of physiological parameters to be measured;

and acquiring the measured values of the target physiological parameters, and calculating the parameter scoring value corresponding to the measured value of each target physiological parameter.

3. The method of claim 2, wherein calculating the parameter score value for each measured value of the target physiological parameter comprises:

setting corresponding upper and lower boundary values for each target physiological parameter;

and calculating the parameter grading value corresponding to each measured value by using a fuzzy membership function according to the upper and lower boundary values and the measured values.

4. The method of claim 1, wherein determining a total score value based on each of the parameter score values and its corresponding weighting factor comprises:

multiplying each parameter score value by a corresponding weight coefficient to obtain a product result;

and accumulating each multiplication result to obtain a total score value.

5. A medical monitoring and early warning system, comprising:

the acquisition unit is used for acquiring a parameter score value corresponding to a measured value of the target physiological parameter;

the determining unit is used for determining a total score value according to each parameter score value and the corresponding weight coefficient;

the judging unit is used for judging whether the total score value is not less than a preset score value threshold value or not;

the selecting unit is used for selecting at least one target medical intervention plan from a plurality of medical intervention plans according to the total score value when the total score value is not less than a preset score value threshold;

and the starting unit is used for starting the target medical intervention plan.

6. The system of claim 5, wherein the obtaining unit comprises:

the determining subunit is used for determining a target physiological parameter from a plurality of physiological parameters to be measured;

an acquisition subunit, configured to acquire a measured value of the target physiological parameter;

and the calculating subunit is used for calculating the parameter scoring value corresponding to the measured value of each target physiological parameter.

7. The system according to claim 6, wherein the computing subunit calculates the parameter score value corresponding to the measured value of each of the target physiological parameters by:

setting corresponding upper and lower boundary values for each target physiological parameter;

and calculating the parameter grading value corresponding to each measured value by using a fuzzy membership function according to the upper and lower boundary values and the measured values.

8. The system of claim 5, wherein the determining unit comprises:

the multiplication subunit is used for multiplying each parameter scoring value by the corresponding weight coefficient to obtain a multiplication result;

and the accumulation subunit is used for accumulating each product result to obtain a total credit value.

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