Intelligent ward calling method and system based on electronic medical record matching

Through the patient's bracelet terminal, the sign and location data are collected in real time, combined with voice interaction, the problems of insufficient monitoring and inefficient communication in the traditional ward call system are solved, real-time assessment of the patient's health status and dynamic update of electronic medical records are achieved, and the timeliness and accuracy of medical services are improved.

CN120564992AInactive Publication Date: 2025-08-29DAQING EYE HOSPITAL
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Patent Information

Application Number
CN202510651348.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-20
Publication Date
2025-08-29
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The traditional ward call system lacks the ability to actively monitor and evaluate the patient's health status, which makes it difficult for patients to receive timely assistance when the disease occurs, the efficiency of doctor-patient communication is inefficient, and the data lag in electronic medical record management, which affects the quality of medical care.

Method used

Through the patient's bracelet terminal, the sign parameters and position data are collected in real time, combined with voice interaction, real-time health monitoring and early warning are realized, electronic medical records are automatically updated, early warning information is generated and voice collection is triggered, and the medical terminal responds.

Benefits of technology

Real-time monitoring and accurate assessment of patients' health status is achieved, the efficiency and quality of medical services are improved, the interaction between doctors and patients is enhanced, and the timeliness and accuracy of electronic medical records is ensured.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of medical services, and provides an intelligent ward calling method and system based on electronic medical record matching, the system comprises a medical care terminal and a patient bracelet terminal, the medical care terminal is connected with the patient bracelet terminal through a hospital HIS system, and the method comprises the following steps: collecting physical sign parameters and position data in real time through the patient bracelet terminal, updating the electronic medical record associated with the patient; monitoring and analyzing the sign parameters, and generating a comprehensive risk result according to a preset vital sign threshold value; early warning information is sent to the medical care terminal in combination with the position data; meanwhile, voice collection is triggered, voice information is recorded through the patient bracelet, and a calling instruction is sent out; the medical care terminal makes a call response after receiving the instruction, and sends a response instruction back to the patient bracelet terminal; by updating the electronic medical record in real time, real-time health monitoring and active early warning are carried out, and meanwhile, through voice interaction, the interactivity and the communication effect between doctors and patients are enhanced.
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Description

Technical Field

[0001] The present invention belongs to the field of medical service technology, and in particular to an intelligent ward calling method and system based on electronic medical record matching. Background Art

[0002] With the continuous advancement of medical technology and the increasing demand for medical service quality, the ward call system is an important part of hospital information construction. As an important tool to ensure patient safety and promote doctor-patient communication, it plays a key role in clinical scenarios.

[0003] However, traditional ward call systems rely primarily on patients manually pressing a call button, providing only a simple signal for help to medical staff and lacking the ability to proactively monitor and assess patients' health status. Medical staff can only visit the ward upon receiving a call, with no prior knowledge of the patient's health risks. This makes it difficult for patients to receive timely and effective assistance when their condition suddenly worsens or when they are unable to call for help, resulting in delayed treatment and reduced healthcare efficiency.

[0004] Furthermore, in terms of doctor-patient communication, existing call systems rely primarily on one-way signal transmission, making it difficult for patients to accurately express their symptoms and needs, and for medical staff to determine the urgency of their condition based on limited information. This results in inefficient communication and makes it difficult for both parties to establish effective interaction. Furthermore, existing electronic medical record management technologies often rely on manual entry or periodic updates, resulting in data lags and poor accuracy. This prevents real-time reflection of changes in a patient's condition, hindering medical staff's comprehensive understanding of their health status. This, in turn, leads to inaccurate diagnosis and treatment plans, reducing the quality of medical care.

[0005] At the same time, the existing system lacks a continuous monitoring and risk assessment mechanism for patient vital signs data, and is unable to promptly detect potential health risks and proactively issue warnings, resulting in a certain lag in medical intervention and making it difficult to meet the high standards of modern medical care for patient safety and health management.

[0006] To this end, technicians in this field have proposed an intelligent ward call method and system based on electronic medical record matching, aiming to achieve real-time health monitoring and active early warning, greatly improve patients' medical experience and medical care efficiency through voice interaction, and automatically update electronic medical records based on real-time collected vital sign data, ensuring the dynamic and accurate electronic medical records. Summary of the Invention

[0007] In order to solve the above technical problems, the present invention provides an intelligent ward calling method and system based on electronic medical record matching to solve the problems raised in the background technology.

[0008] According to a first aspect of the present disclosure, a smart ward calling method based on electronic medical record matching is proposed, comprising a medical terminal and a patient wristband terminal, wherein the medical terminal is connected to the patient wristband terminal via a hospital HIS system, and the method comprises the following steps:

[0009] S1. Real-time collection of patient's vital sign parameter data and location data through the patient's wristband terminal;

[0010] S2. updating the electronic medical record associated with the patient's wristband terminal in real time based on the vital sign parameter data;

[0011] S3. Real-time monitoring and analysis of the vital sign parameter data are performed, and a comprehensive risk result is obtained based on preset vital sign thresholds;

[0012] S4. Obtaining warning information based on the comprehensive risk result and the location data, and sending the warning information to the medical terminal;

[0013] S5. When the patient's wristband terminal sends the warning information, the voice collection operation is triggered, the patient's voice information is collected through the patient's wristband terminal, and a call instruction is issued to the medical terminal;

[0014] S6. According to the call instruction, the medical terminal responds to the call, issues a response instruction, and sends the response instruction to the patient's wristband terminal.

[0015] Preferably, the real-time monitoring and analysis of the vital sign parameter data and obtaining a comprehensive risk result based on preset vital sign thresholds include:

[0016] Based on the physical sign parameter data {x1, x2, ..., x n} and the corresponding preset vital sign thresholds {[a1,b1],[a2,b2],...,[a n ,b n ]}, use the following formula to calculate the i-th characteristic parameter x i Conduct risk assessment:

[0017]

[0018] When f i (x i )=1, indicating that the i-th physical sign parameter exceeds the normal range and there is a risk; when f i (x i ) = 0, it means that the i-th sign parameter is within the normal range and there is no risk;

[0019] Combining the risk status of all characteristic parameters, the comprehensive risk result R is:

[0020] R=max{f1(x1),f2(x2),...,f n (x n )}

[0021] When R=1, it means that at least one vital sign parameter is outside the normal range, indicating that the patient is at health risk; when R=0, it means that all vital sign parameters are within the normal range, indicating that the patient currently has no health risk that exceeds the preset vital sign threshold range.

[0022] Preferably, obtaining warning information based on the comprehensive risk result in combination with the location data, and sending the warning information to the medical terminal includes:

[0023] Real-time collection of patient location data (q, p) based on the patient's wristband terminal;

[0024] Based on the comprehensive risk result, when R=1, that is, when at least one physical sign parameter exceeds the normal range, the comprehensive risk result is combined with the position data to obtain warning information E, which is expressed as:

[0025] E=(R,(q,p))

[0026] After obtaining the early warning information E, the early warning information E is sent to the medical terminal.

[0027] Preferably, when the patient's wristband terminal sends the warning information, a voice collection operation is triggered, the patient's voice information is collected through the patient's wristband terminal, and a call instruction is issued to the medical terminal, including:

[0028] When the patient's wristband terminal successfully sends the warning information E, the state of the patient's wristband terminal changes, triggering the microphone of the patient's wristband terminal to turn on and collect voice. The state transition function T(S) is:

[0029]

[0030] Among them, S is the state variable of the patient's wristband terminal, and the value set is {S0, S1, S2}, where S0 indicates the state of no warning information sent, S1 indicates the state of having sent the warning information, and S2 indicates the state of voice collection;

[0031] The analog voice signal collected by the voice is a(t), t∈[t1,t2], which means that the voice collection is performed within the time interval [t1,t2];

[0032] With sampling frequency f s The analog voice signal a(t) is sampled to obtain a discrete digital voice signal d(n): d(n) = a(nT s ),n=0,1,...,N-1, where Ts is the sampling period, and N is the number of sampling points, and

[0033] Encoding the digital voice signal d(n) to obtain encoded voice data c: c=C(d[n]), where C is the encoding algorithm;

[0034] The encoded voice data c and the warning information E=(R, (q, p)) are combined into a call instruction, which is expressed as:

[0035] I=(c,E)=(c,(R,(q,p)))

[0036] Here, I represents a call instruction sent to the medical terminal.

[0037] Preferably, responding to the call through the medical terminal according to the call instruction, issuing a response instruction, and sending the response instruction to the patient's wristband terminal includes:

[0038] Parse the call instruction I=(c,(R,(q,p))) to: A(I)=(c,R,(q,p)), where A is a parsing function, to obtain parsed information;

[0039] According to the parsed information, the medical staff implements a response strategy and outputs the content of the response instruction as follows:

[0040] r=D(R,c)

[0041] Where D is the response strategy function, r is the content of the response instruction;

[0042] The content r of the response instruction is combined with the patient's position data (q, p) to form a response instruction:

[0043] U=(r,(q,p))

[0044] Among them, U is a response instruction, which is issued by the medical terminal and sent to the patient's wristband terminal.

[0045] According to a second aspect of the present disclosure, an intelligent ward call system based on electronic medical record matching is proposed, comprising:

[0046] The data acquisition module is used to collect the patient's vital sign parameter data and location data in real time through the patient's wristband terminal, and trigger the collection of voice data;

[0047] The electronic medical record management module is used to receive the vital sign parameter data collected by the patient's wristband terminal and update the electronic medical record associated with the patient's wristband terminal in real time according to the vital sign parameter data;

[0048] The risk assessment module is used to monitor and analyze the vital sign parameter data collected by the patient's wristband terminal in real time, and calculate the comprehensive risk results by comparing them with the preset vital sign thresholds;

[0049] An early warning information generation module is used to generate early warning information based on the comprehensive risk result and the patient's location data, and pre-send the early warning information to the medical terminal;

[0050] A patient calling module is configured to trigger a data acquisition module to collect voice data when the warning information is pre-sent to the medical terminal, combine the voice data with the warning information, and issue a calling instruction to the medical terminal;

[0051] The call response module is used to receive a call instruction through the medical terminal and send a response instruction to the patient's wristband terminal according to the content of the call instruction.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] 1. By collecting and analyzing patient data in real time, the present invention can quickly identify patients' health problems and issue early warnings, allowing medical staff to respond promptly, reducing patient waiting time and improving the efficiency of medical services. It also triggers voice collection while sending early warning information, allowing patients to communicate with medical staff through voice, thereby enhancing the interactivity and communication effect between doctors and patients.

[0054] 2. Through real-time updating of electronic medical records and accurate risk assessment, the present invention enables medical staff to have a more comprehensive and accurate understanding of the patient's health status and formulate more reasonable treatment plans, thereby improving the quality of medical care. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of the intelligent ward calling method of the present invention;

[0056] Figure 2 This is a block diagram of the intelligent ward call system of the present invention. DETAILED DESCRIPTION

[0057] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0058] As attached Figure 1 As shown:

[0059] Example 1: The present invention provides an intelligent ward calling method based on electronic medical record matching, including a medical terminal and a patient wristband terminal. The medical terminal is connected to the patient wristband terminal through the hospital HIS system. The method includes the following steps:

[0060] S1. Real-time collection of patients' vital sign parameter data and location data through the patient's wristband terminal; real-time collection of patients' vital sign parameter data and location data through the patient's wristband terminal. Vital sign parameter data include heart rate, blood pressure, body temperature, etc., and trigger the collection of voice data under specific conditions; it can fully and timely obtain the patient's health status and location information. At the same time, the collection of voice data allows medical staff to understand the patient's needs and situation more directly.

[0061] S2. Update the electronic medical record associated with the patient's wristband terminal in real time based on the vital sign parameter data; by receiving the vital sign parameter data from the data acquisition module, update the electronic medical record associated with the patient's wristband terminal in real time based on these data, ensuring the real-time and accuracy of the electronic medical record, so that medical staff can grasp the patient's latest health status at any time.

[0062] S3, real-time monitoring and analysis of vital sign parameter data, and obtain comprehensive risk results based on preset vital sign thresholds; based on vital sign parameter data {x1, x2, ..., x n} and the corresponding preset vital sign thresholds {[a1,b1],[a2,b2],...,[a n ,b n ]}, use the following formula to calculate the i-th characteristic parameter x i Conduct risk assessment:

[0063]

[0064] When f i (x i )=1, indicating that the i-th physical sign parameter exceeds the normal range and there is a risk; when f i (x i ) = 0, it means that the i-th sign parameter is within the normal range and there is no risk;

[0065] Combining the risk status of all characteristic parameters, the comprehensive risk result R is:

[0066] R=max{f1(x1),f2(x2),...,f n (x n )}

[0067] When R=1, it means that at least one vital sign parameter is outside the normal range, indicating that the patient is at health risk; when R=0, it means that all vital sign parameters are within the normal range, indicating that the patient currently has no health risk that exceeds the preset vital sign threshold range.

[0068] The vital sign parameter data collected by the data acquisition module is monitored and analyzed in real time, and compared with the preset vital sign thresholds to calculate the comprehensive risk results, so that the patient's health risks can be discovered in time, and corresponding measures can be taken according to the risk level to improve the timeliness and effectiveness of medical response.

[0069] S4. Based on the comprehensive risk results and location data, obtain early warning information and send it to the medical terminal; collect the patient's location data (q, p) in real time based on the patient's wristband terminal;

[0070] Based on the comprehensive risk result, when R=1, that is, when at least one vital sign parameter exceeds the normal range, the comprehensive risk result is combined with the location data to obtain the warning information E, which is expressed as:

[0071] E=(R,(q,p))

[0072] After obtaining the early warning information E, the early warning information E is sent to the medical terminal.

[0073] Combining the comprehensive risk results obtained by the risk assessment module and the patient location data provided by the data acquisition module, early warning information is generated and sent to the medical terminal, allowing medical staff to quickly understand the patient's risk status and location so that they can quickly arrive at the scene for treatment.

[0074] S5. When the patient's wristband terminal sends an early warning message, the voice collection operation is triggered. The patient's voice information is collected through the patient's wristband terminal, and a call instruction is issued to the medical terminal. When the patient's wristband terminal successfully sends the early warning message E, the patient's wristband terminal state changes, triggering the microphone of the patient's wristband terminal to turn on and perform voice collection. The state transition function T(S) is:

[0075]

[0076] Among them, S is the state variable of the patient's wristband terminal, and the value set is {S0, S1, S2}, where S0 indicates the state of no warning information sent, S1 indicates the state of having sent the warning information, and S2 indicates the state of voice collection;

[0077] The analog voice signal collected is a(t), t∈[t1,t2], which means that the voice collection is performed in the time interval [t1,t2];

[0078] With sampling frequency f s The analog voice signal a(t) is sampled to obtain a discrete digital voice signal d(n): d(n) = a(nT s ),n=0,1,...,N-1, where T s is the sampling period, and N is the number of sampling points, and

[0079] Encode the digital voice signal d(n) to obtain encoded voice data c: c = C(d[n]), where C is the encoding algorithm;

[0080] The encoded voice data c and the warning information E = (R, (q, p)) are combined into a call instruction, which is expressed as:

[0081] I=(c,E)=(c,(R,(q,p)))

[0082] Here, I represents a call instruction sent to the medical terminal.

[0083] When the warning information is sent to the medical terminal, the data acquisition module is triggered to collect the patient's voice information. After integrating the voice data and the warning information, a call instruction is sent to the medical terminal, enabling the patient to express his or her needs through voice in an emergency, thereby enhancing the communication efficiency between the patient and the medical staff.

[0084] S6. According to the call instruction, the medical terminal responds to the call, issues a response instruction, and sends the response instruction to the patient's wristband terminal.

[0085] Parse the call instruction I = (c, (R, (q, p))) to: A(I) = (c, R, (q, p)), where A is the parsing function, and obtain the parsed information;

[0086] Based on the parsed information, the medical staff implements a response strategy and outputs the following response instructions:

[0087] r=D(R,c)

[0088] Where D is the response strategy function, r is the content of the response instruction;

[0089] Combine the content r of the response instruction with the patient's position data (q, p) to form the response instruction:

[0090] U=(r,(q,p))

[0091] Here, U is the response command, which is issued by the medical terminal and sent to the patient's wristband terminal. The medical terminal receives the call command issued by the patient call module and sends a response command to the patient's wristband terminal based on the command content, thus realizing timely interaction between medical staff and patients, allowing patients to receive timely feedback and guidance from medical staff.

[0092] As attached Figure 2 As shown:

[0093] Embodiment 2: The present invention also provides an intelligent ward call system based on electronic medical record matching, comprising:

[0094] The data acquisition module is used to collect the patient's vital sign parameter data and location data in real time through the patient's wristband terminal, and trigger the collection of voice data;

[0095] The electronic medical record management module is used to receive the vital sign parameter data collected by the patient's wristband terminal and update the electronic medical record associated with the patient's wristband terminal in real time according to the vital sign parameter data;

[0096] The risk assessment module is used to monitor and analyze the vital sign parameter data collected by the patient's wristband terminal in real time, and calculate the comprehensive risk results by comparing them with the preset vital sign thresholds;

[0097] The early warning information generation module is used to generate early warning information based on the comprehensive risk results and the patient's location data, and pre-send the early warning information to the medical terminal;

[0098] The patient call module is used to trigger the data acquisition module to collect voice data when the warning information is pre-sent to the medical terminal, combine the voice data with the warning information, and send a call instruction to the medical terminal;

[0099] The call response module is used to receive call instructions through the medical terminal and send response instructions to the patient's wristband terminal according to the content of the call instruction.

[0100] As can be seen from the above, the integration of the patient's vital sign parameter data, location data and voice data, and real-time processing and analysis can provide a more comprehensive and accurate understanding of the patient's condition and provide richer information for medical decision-making; the patient's vital sign data is monitored and analyzed in real time through preset vital sign thresholds to obtain comprehensive risk results, and early warning information is generated based on the risk results, achieving accurate risk warnings and improving the timeliness and pertinence of medical responses; triggering voice collection at the same time as the early warning information is sent, allowing patients to communicate with medical staff through voice, breaking the limitation of traditional call systems that can only send simple text or signals, and enhancing the interactivity and communication effect between doctors and patients; updating electronic medical records in real time based on real-time collected vital sign parameter data, ensuring the timeliness and accuracy of electronic medical records, and providing medical staff with a more reliable basis for diagnosis.

[0101] It is important to note that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are merely illustrative. Although only a few embodiments are described in detail in this disclosure, it will be readily understood by those who consult this disclosure that many modifications are possible without departing substantially from the novel teachings and advantages of the subject matter described in this application. Other replacements, modifications, changes, and omissions may be made in the design, operating conditions, and arrangement of the exemplary embodiments without departing from the scope of the present invention. Therefore, the present invention is not limited to specific embodiments, but extends to a variety of modifications still falling within the scope of the appended claims.

[0102] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (i.e., those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0103] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent ward calling method based on electronic medical record matching is characterized in that: The method comprises a medical terminal and a patient wristband terminal, wherein the medical terminal is connected to the patient wristband terminal via a hospital HIS system, and the method comprises the following steps: S1. Real-time collection of patient's vital sign parameter data and location data through the patient's wristband terminal; S2. updating the electronic medical record associated with the patient's wristband terminal in real time based on the vital sign parameter data; S3. Real-time monitoring and analysis of the vital sign parameter data are performed, and a comprehensive risk result is obtained based on preset vital sign thresholds; S4. Obtaining warning information based on the comprehensive risk result and the location data, and sending the warning information to the medical terminal; S5. When the patient's wristband terminal sends the warning information, the voice collection operation is triggered, the patient's voice information is collected through the patient's wristband terminal, and a call instruction is issued to the medical terminal; S6. According to the call instruction, the medical terminal responds to the call, issues a response instruction, and sends the response instruction to the patient's wristband terminal.

2. The intelligent ward calling method based on electronic medical record matching according to claim 1, characterized in that: The real-time monitoring and analysis of the vital sign parameter data and obtaining a comprehensive risk result based on preset vital sign thresholds include: Based on the physical sign parameter data {x1, x2, ..., x n } and the corresponding preset vital sign thresholds {[a1,b1],[a2,b2],...,[a n ,b n ]}, use the following formula to calculate the i-th characteristic parameter x i Conduct risk assessment: When f i (x i )=1, indicating that the i-th physical sign parameter exceeds the normal range and there is a risk; when f i (x i ) = 0, it means that the i-th sign parameter is within the normal range and there is no risk; Combining the risk status of all characteristic parameters, the comprehensive risk result R is: R=max{f1(x1),f2(x2),...,f n (x n )} When R=1, it means that at least one vital sign parameter is outside the normal range, indicating that the patient is at health risk; when R=0, it means that all vital sign parameters are within the normal range, indicating that the patient currently has no health risk that exceeds the preset vital sign threshold range.

3. The intelligent ward calling method based on electronic medical record matching according to claim 1, characterized in that: The step of obtaining warning information based on the comprehensive risk result and the location data, and sending the warning information to the medical terminal, includes: Real-time collection of patient location data (q, p) based on the patient's wristband terminal; Based on the comprehensive risk result, when R=1, that is, when at least one physical sign parameter exceeds the normal range, the comprehensive risk result is combined with the position data to obtain warning information E, which is expressed as: E=(R,(q,p)) After obtaining the early warning information E, the early warning information E is sent to the medical terminal.

4. The intelligent ward calling method based on electronic medical record matching according to claim 1, characterized in that: When the patient's wristband terminal sends the warning information, the voice collection operation is triggered, the patient's voice information is collected through the patient's wristband terminal, and a call instruction is issued to the medical terminal, including: When the patient's wristband terminal successfully sends the warning information E, the state of the patient's wristband terminal changes, triggering the microphone of the patient's wristband terminal to turn on and collect voice. The state transition function T(S) is: Among them, S is the state variable of the patient's wristband terminal, and the value set is {S0, S1, S2}, where S0 indicates the state of no warning information sent, S1 indicates the state of having sent the warning information, and S2 indicates the state of voice collection; The analog voice signal collected by the voice is a(t), t∈[t1,t2], which means that the voice collection is performed within the time interval [t1,t2]; With sampling frequency f s The analog voice signal a(t) is sampled to obtain a discrete digital voice signal d(n): d(n) = a(nT s ),n=0,1,...,N-1, where T s is the sampling period, and N is the number of sampling points, and Encoding the digital voice signal d(n) to obtain encoded voice data c: c=C(d[n]), where C is the encoding algorithm; The encoded voice data c and the warning information E=(R, (q, p)) are combined into a call instruction, which is expressed as: I=(c,E)=(c,(R,(q,p))) Here, I represents a call instruction sent to the medical terminal.

5. The intelligent ward calling method based on electronic medical record matching according to claim 1, characterized in that: The method of responding to a call through a medical terminal according to the call instruction, issuing a response instruction, and sending the response instruction to the patient's wristband terminal includes: Parse the call instruction I=(c,(R,(q,p))) to: A(I)=(c,R,(q,p)), where A is a parsing function, to obtain parsed information; According to the parsed information, the medical staff implements a response strategy and outputs the content of the response instruction as follows: r=D(R,c) Where D is the response strategy function, r is the content of the response instruction; The content r of the response instruction is combined with the patient's position data (q, p) to form a response instruction: U=(r,(q,p)) Among them, U is a response instruction, which is issued by the medical terminal and sent to the patient's wristband terminal.

6. Intelligent ward call system based on electronic medical record matching, characterized by: include: The data acquisition module is used to collect the patient's vital sign parameter data and location data in real time through the patient's wristband terminal, and trigger the collection of voice data; The electronic medical record management module is used to receive the vital sign parameter data collected by the patient's wristband terminal and update the electronic medical record associated with the patient's wristband terminal in real time according to the vital sign parameter data; The risk assessment module is used to monitor and analyze the vital sign parameter data collected by the patient's wristband terminal in real time, and calculate the comprehensive risk results by comparing them with the preset vital sign thresholds; An early warning information generation module is used to generate early warning information based on the comprehensive risk result and the patient's location data, and pre-send the early warning information to the medical terminal; A patient calling module is configured to trigger a data acquisition module to collect voice data when the warning information is pre-sent to the medical terminal, combine the voice data with the warning information, and issue a calling instruction to the medical terminal; The call response module is used to receive a call instruction through the medical terminal and send a response instruction to the patient's wristband terminal according to the content of the call instruction.