Intelligent nursing management alarm system and method

Abstract

The invention relates to the technical field of nursing informatization, and particularly discloses an alarm system and method for intelligent nursing management. The system comprises a data acquisition module, a threshold judgment module, an intelligent analysis module, an alarm push module and a record archiving module. The data acquisition module is used for acquiring multiple physiological parameter data of a patient in real time; the threshold judgment module judges whether to trigger a primary alarm or not according to a set standard value and tolerance; the intelligent analysis module calculates an alarm comprehensive risk index in combination with the primary alarm result, the historical health state of the patient, the nursing grade and the medication condition; the alarm pushing module synchronously pushes the alarm information to the nurse terminal, the doctor workstation and the electronic medical record system according to the risk index level; and the recording and archiving module performs whole-process recording and automatic archiving on the alarm response process.

Description

Technical Field

[0001] The present invention relates to the field of nursing information technology, and in particular to an alarm system and method for intelligent nursing management. Background Art

[0002] With the continuous advancement of medical information technology, hospitals have widely deployed digital platforms such as electronic medical records (EMRs), clinical pathways, and nursing information systems (NISs) in the diagnosis and treatment process, achieving basic electronic management of patient information. However, in actual nursing work, clinical nurses still face problems such as delayed information acquisition and inefficient response. This is especially true in high-risk wards such as intensive care units (ICUs), cardiology departments, and emergency departments, where emergencies are frequent and require a fast and accurate alarm system to support nursing decisions.

[0003] In the existing technology, some medical institutions have introduced monitor alarm systems or simple nursing call systems, but the following problems are common: First, the alarm trigger mechanism relies on a single parameter threshold setting, lacks coordinated judgment of multiple vital signs, and is prone to false alarms or missed reports; second, the alarm information is only presented locally on the device side, and cannot be linked to the nursing information system, doctor platform and mobile terminal, resulting in a break in the information response chain; third, the alarm event processing lacks automatic recording and tracking functions, and cannot form a closed-loop management, which is not conducive to medical quality control and risk tracing.

[0004] In addition, some studies have attempted to introduce AI algorithms for alarm prediction. However, due to a lack of deep integration with the nursing process, an integrated closed-loop process of parameter collection, intelligent assessment, graded push notification, and response recording has not been established, making it difficult to meet the comprehensive needs of clinical nursing for real-time, accuracy, systematicity, and traceability. Therefore, it is urgent to develop an intelligent nursing alarm system and method based on multi-parameter intelligent analysis, graded judgment, multi-channel push notification, and automatic archiving capabilities to improve the level of informationization of hospital nursing work and patient safety assurance capabilities. Summary of the Invention

[0005] The purpose of the present invention is to provide an alarm system and method for intelligent nursing management to solve the problems raised by the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: an alarm system for intelligent nursing management, comprising:

[0007] Data acquisition module: used to collect the patient's real-time physiological parameter data P, including heart rate ,blood pressure , blood oxygen saturation ,body temperature and respiratory rate

[0008] A threshold determination module is used to compare the physiological parameter data with the corresponding standard threshold set Compare and generate a set of primary alarm indicators

[0009] Intelligent analysis module, based on alarm indicator set A collection of historical health status of patients , nursing level , drug use Perform weighted assessment and calculate the alarm comprehensive risk index

[0010] Alarm push module, used to push the alarm based on the comprehensive risk index Trigger multi-level alarms and push alarm information to nurse terminals and electronic medical record systems;

[0011] The record archiving module is used to write the alarm process and treatment records into the patient medical record database.

[0012] As a preferred technical solution of the present invention, the primary alarm indicator set Determine according to the following formula:

[0013] i ,

[0014] in: The current collection Physiological parameters; For the Normal thresholds for the parameters, For the The tolerance range for the item parameter.

[0015] As a preferred technical solution of the present invention, the alarm comprehensive risk index Calculated by the following formula:

[0016]

[0017] in: It is the primary alarm indicator. is the corresponding risk weight, is the historical state risk function, is the nursing level risk correction function, Use risk function for drugs are the adjustment coefficients of each dimension respectively.

[0018] As the preferred technical solution of the present invention, the historical state risk function is defined as follows:

[0019]

[0020] in: Indicates the history Severity score of similar alarms and post-intervention diagnosis, is the similarity weighting coefficient, is the number of available historical samples.

[0021] As the preferred technical solution of the present invention, the nursing level risk correction function is defined as: in: , indicates the nursing level, the lower the value, the more serious the condition is the regulating factor.

[0022] As a preferred technical solution of the present invention, the drug use risk function Defined as:

[0023]

[0024] in: , indicating whether the high-risk drugs, is the weight value of complications caused by the drug, The total number of high-risk drugs identified for the system.

[0025] As the preferred technical solution of the present invention, the alarm push module is provided with a multi-channel notification mechanism, which supports synchronization of alarm information through the following methods: pop-up reminders at the nurse workstation; push notifications at the mobile nursing terminal; email reminders at the doctor workstation; and voice broadcast device for alarm levels.

[0026] As a preferred technical solution of the present invention, the record archiving module automatically generates the following content: alarm triggering timestamp; alarm type and level; nursing staff response time and disposal operation; subsequent diagnosis and treatment feedback and event closed-loop marking.

[0027] The present invention also provides an alarm method for intelligent nursing management, comprising the following steps:

[0028] (1) Collecting patient physiological parameters

[0029] (2) Calculate the primary alarm indicator set according to the formula in claim 2

[0030] (3) Calculate the alarm risk index according to the algorithm in claim 3

[0031] (4) Determine the alarm level and execute multi-terminal alarm push,

[0032] (5) Archive the alarm event records into the electronic medical record system.

[0033] As a preferred technical solution of the present invention, the alarm level determination standard is:

[0034] Alarm level .

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] This invention constructs a multi-parameter comprehensive judgment model, combining key vital sign parameters such as heart rate, blood pressure, blood oxygen, body temperature, and respiratory rate, and uses an algorithmic model to jointly judge abnormal conditions. This significantly reduces the probability of false alarms and missed alarms in traditional systems based on single indicators. At the same time, the system calculates a comprehensive alarm risk index based on historical health data, nursing level, and drug risk, enabling graded response and intelligent push notifications. This enables caregivers to more quickly and accurately locate high-risk patients and implement interventions, effectively improving clinical response efficiency.

[0037] The system's built-in alarm record archiving function automatically records the entire alarm process, including the trigger time, response process, and processing results, into the electronic medical record, ensuring closed-loop alarm processing and traceable accountability. Furthermore, push information can be synchronized to multiple platforms, including nurse terminals, doctor workstations, and mobile devices, achieving comprehensive information coverage and a fully closed-loop response. This significantly reduces the burden on nursing staff of manual record-keeping and information communication, and promotes the standardization and digitization of nursing work.

[0038] The proposed system features a modular structure, flexible algorithms, and strong interface compatibility. It can be seamlessly integrated into existing hospital information systems (such as HIS, EMR, and LIS) and supports standardized communication with various bedside monitoring devices. It is suitable for a variety of scenarios, including general hospitals, rehabilitation centers, and nursing homes. System parameters and weights can be dynamically adjusted based on different departments and disease types, demonstrating excellent clinical adaptability and application value, helping to promote the full implementation of intelligent nursing management. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces and describes the drawings required for use in the embodiments of the present invention or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0040] Figure 1: A system block diagram of an intelligent nursing management alarm system of the present invention;

[0041] Figure 2 : A method flow chart of an alarm method for intelligent nursing management of the present invention. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative effort shall fall within the scope of protection of the present invention. In order to more clearly explain and illustrate the technical solutions and implementations of the present invention, the following describes preferred specific examples for implementing the technical solutions of the present invention.

[0044] See Figure 1 and Figure 2 The system is suitable for use in hospitals, nursing institutions, and other settings. By combining software and hardware, it implements a closed-loop system for multi-parameter nursing risk warning and treatment. The system includes a data acquisition module, a threshold determination module, an intelligent analysis module, an alarm push module, and a record archiving module.

[0045] The system can be integrated into the hospital's existing nursing workstations or deployed on a LAN server, and interconnected with bedside monitoring equipment, mobile nursing terminals, and doctor work platforms through wireless networks.

[0046] In actual operation, the system uses the data acquisition module to access the patient's five core physiological parameters in real time: heart rate ,blood pressure , blood oxygen saturation ,body temperature and respiratory rate .

[0047] These parameters constitute the patient's current status dataset The threshold determination module combines the collected real-time parameters with the preset standard threshold value. To enhance fault tolerance, the system introduces tolerance for each indicator. ,When the deviation between an indicator and the standard value exceeds the tolerance, it is considered abnormal. , obtained through the following formula:

[0048]

[0049] in, Indicates whether the indicator triggers the primary alarm (1 means triggered, 0 means not triggered). The system can generate up to 5 alarm tags. The intelligent analysis module combines the primary alarm indicator with the patient's medical history data. , nursing level , drug use Comprehensive assessment, calculation of alarm comprehensive risk index , its expression is as follows:

[0050]

[0051] in, is the risk-weighted sum of the indicators; 、 、 They are historical condition correction function, nursing level correction function and drug risk correction function respectively; It is the system adjustment coefficient, which is preset as an empirical value.

[0052] Historical risk function Based on the patient's past similar alarm events and diagnosis, the following mean-weighted method is used to define:

[0053]

[0054] in, For the Subdiagnostic severity score, is the similarity weighting coefficient, is the number of relevant historical events.

[0055] Care Level Function The definition is as follows:

[0056]

[0057] in, ,The lower the level, the more serious the condition, and the higher the weight, is the scaling factor. Drug risk function By identifying whether the patient is taking any of a set of known high-risk medications, defined as follows:

[0058]

[0059] in, For the Indication of drug use (1 means used, 0 means not used), The corresponding risk factor is It is the total number of drugs in the preset drug risk library.

[0060] Calculated After that, the alarm level is determined by the following rules:

[0061] Alarm level

[0062] The alarm push module implements a tiered push notification system based on alarm severity: Emergency alarms trigger pop-up notifications at the nurse station, voice announcements, and mobile device notifications, while also synchronizing records with the electronic medical record system and sending reminders to the attending physician's email address. Serious alarms are pushed to the nurse's terminal and doctor's workstation; concern-level alarms are recorded but not immediately pushed.

[0063] Finally, the record archiving module stores structured information such as alarm trigger time, alarm level, response time, disposition measures, and closed-loop status into the electronic medical record system for subsequent quality management and tracking evaluation. This system can be deployed within the hospital's existing network environment, supports bedside monitoring equipment access, and integrates with mainstream HIS / EMR systems through software interfaces. It offers excellent adaptability and scalability, effectively improving hospital nursing response efficiency and patient safety.

[0064] The intelligent nursing management and alarm system proposed in this invention has been deployed in the cardiology intensive care unit (CCU) of a tertiary hospital. It covers all beds in the ward and seamlessly integrates with the hospital's HIS and electronic medical record systems. The system interconnects with bedside monitors, mobile nursing terminals, and physician workstations via a local area network, enabling intelligent early warning and nursing response throughout the entire process. Patient Wang, a 68-year-old male, was admitted to the hospital for the postoperative recovery period after acute myocardial infarction and was assessed as a Level 1 nursing level.

[0065] After the patient enters the bed, the system automatically creates an electronic file and connects to the bedside monitoring device wirelessly to collect the following five physiological parameters in real time: heart rate ; systolic blood pressure ( ; Blood oxygen saturation ( ;body temperature ; Respiratory rate ( ;

[0066] The system sets the normal parameter threshold set as:

[0067] , bpm

[0068] m mmHg

[0069] ,

[0070] ,

[0071] times / min times / min

[0072] Alarm event triggered: At 2:47 AM on May 18, 2025, Wang was detected to have the following physiological changes: bpm, mmHg, 、 、 The secondary / sub-system sets the primary alarm index according to the following formula Make a judgment:

[0073]

[0074] but:

[0075]

[0076]

[0077]

[0078]

[0079]

[0080] therefore:

[0081]

[0082] Comprehensive risk score calculation: The alarm risk index is calculated using the following formula:

[0083]

[0084] 1. Primary alarm weighting part: setting risk weight:

[0085] , , , , but:

[0086] ;

[0087] 2. History State Function The patient had three arrhythmia alarms during hospitalization, and the severity scores were , the similarity weight is , , , substitute into the formula:

[0088] ;

[0089] 3. Care Level Function Wang is a first-level nurse ( ),set up , substitute into:

[0090] ;

[0091] 4. Drug Risk Function The system identifies the following medications:

[0092] Nitroglycerin: ;

[0093] Metoprolol: ;

[0094] aspirin: ;

[0095] ;

[0096] 5. Adjustment parameter settings: ;

[0097] 6. Final alarm index calculation:

[0098] ;

[0099] Alarm response: According to the alarm level judgment rules:

[0100] Level I emergency

[0101] The system immediately executes the following response measures: a red pop-up window appears on the nurse workstation screen, and a voice message plays: "Wang has issued a level 1 alarm, please conduct ward rounds immediately."

[0102] Mobile nursing terminals push alarm summary cards;

[0103] The alarm information is synchronously transmitted to the doctor's station and an email is sent to the attending doctor;

[0104] The system records the entire process data including alarm time, responding nurses, and treatment measures.

[0105] A nurse arrived at the ward within three minutes and administered oxygen, performed an electrocardiogram, and adjusted medications. The entire alarm response loop was completed within eight minutes, with the results recorded in the electronic medical record and automatically archived by the system.

[0106] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to replace some of the technical features therein with equivalents. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An alarm system for intelligent nursing management, characterized in that: include Data acquisition module: used to collect the patient's real-time physiological parameter data P, including heart rate ,blood pressure , blood oxygen saturation ,body temperature and respiratory rate Threshold determination module: used to compare the physiological parameter data with the corresponding standard threshold set Compare and generate a set of primary alarm indicators Intelligent analysis module: based on alarm indicator set A collection of historical health status of patients , nursing level , drug use Perform weighted assessment and calculate the alarm comprehensive risk index Alarm push module: used to push the alarm based on the comprehensive risk index Trigger multi-level alarms and push alarm information to nurse terminals and electronic medical record systems; Record archiving module: used to write the alarm process and treatment records into the patient medical record database.

2. An intelligent nursing management alarm system according to claim 1, characterized in that: The primary alarm indicator set Determine according to the following formula: i , in: The current collection Physiological parameters; For the Normal thresholds for the parameters, For the The tolerance range for the item parameter.

3. The intelligent nursing management alarm system according to claim 1, characterized in that: The alarm comprehensive risk index Calculated by the following formula: in: It is the primary alarm indicator. is the corresponding risk weight, is the historical state risk function, is the nursing level risk correction function, Use risk function for drugs are the adjustment coefficients of each dimension respectively.

4. An intelligent nursing management alarm system according to claim 3, characterized in that: Historical state risk function is defined as follows: in: Indicates the history Severity score of similar alarms and post-intervention diagnosis, is the similarity weighting coefficient, is the number of available historical samples.

5. The intelligent nursing management alarm system according to claim 3, characterized in that: The care level risk modification function is defined as: in: , indicates the nursing level, the lower the value, the more serious the condition is the regulating factor.

6. The intelligent nursing management alarm system according to claim 3, characterized in that: The drug use risk function Defined as: in: , indicating whether the high-risk drugs, is the weight value of complications caused by the drug, The total number of high-risk drugs identified for the system.

7. The intelligent nursing management alarm system according to claim 1, characterized in that: The alarm push module is equipped with a multi-channel notification mechanism, which supports synchronization of alarm information through the following methods: pop-up reminders at the nurse workstation; push notifications at the mobile nursing terminal; email reminders at the doctor workstation; and voice broadcast device for alarm levels.

8. The intelligent nursing management alarm system according to claim 1, characterized in that: The record archiving module automatically generates the following content: alarm trigger timestamp; alarm type and level; nursing staff response time and disposal operation; subsequent diagnosis and treatment feedback and event closed-loop marking.

9. An intelligent nursing management alarm method based on an intelligent nursing management alarm system according to any one of claims 1 to 8, characterized in that: The steps include: (1) Collecting patient physiological parameters (2) Calculate the primary alarm indicator set (3) Calculate the alarm risk index (4) Determine the alarm level and execute multi-terminal alarm push, (5) Archive the alarm event records into the electronic medical record system.

10. The method according to claim 9, characterized in that The alarm level determination criteria are: Alarm level .

Images