CN116915818A - Inpatient state monitoring system and method - Google Patents

Abstract

Embodiments of the present application provide an inpatient status monitoring system and method, which belongs to the field of smart monitoring technology. The system includes a monitoring module, an alarm module, and a cloud server; the monitoring module includes a system installed in the ward and worn on the patient's body. Multiple sensors and cameras on the hospital bed; the warning module includes warning lights installed at the medical station and ward and emergency buttons in the ward; wherein, the monitoring module is used to monitor the movement of inpatients on the hospital bed and whether they fall and the current environment information; the warning module is used for inpatients to send alarm signals and prompt medical staff; the cloud server is used to receive and store information from the monitoring module and the warning module, and transmit the alarm signals to medical staff . In this way, inpatients can be monitored comprehensively to determine whether they have fallen, etc., and to improve risk warning capabilities for patients.

Description

Inpatient status monitoring system and method

Technical field

Embodiments of the present application relate to the field of smart monitoring technology, and in particular to an inpatient status monitoring system and method.

Background technique

At present, with the development of computers and information technology, smart monitoring systems have received more and more attention, and they have broad application prospects in ensuring patient safety and health. However, traditional monitoring systems usually rely on manual inspection and manual on-duty to find and solve problems, which often have problems such as low efficiency, high costs and false alarms. In addition, many monitoring systems are unable to provide rich and reliable data and event records, limiting subsequent analysis and research. Therefore, an intelligent and automated smart monitoring system is needed to solve these challenges.

Contents of the invention

In order to solve the above-mentioned technical problems, according to embodiments of the present application, an inpatient status monitoring system and method are provided.

In a first aspect of the present application, an inpatient status monitoring system is provided. The system includes:

Monitoring module, warning module, cloud server; the monitoring module includes a plurality of sensors and cameras installed in the ward and worn on the patient's body; the warning module includes a warning light installed at the medical station and an emergency button in the ward ;

Among them, the monitoring module is used to monitor the movement of inpatients on the hospital bed, whether they fall, and the current environment information;

The warning module is used for inpatients to send alarm signals and prompt medical staff;

The cloud server is used to receive and store information from the monitoring module and the warning module, and transmit the warning signal to medical staff.

In a possible implementation, the sensors include a combination sensor disposed on the hospital bed, a height sensor disposed on the patient's waist, an environment monitoring sensor and a sound sensor disposed in the ward;

Wherein, the combined sensor includes a plurality of pressure sensors arranged on the sides of the hospital bed, the central axis and the pillow, and is used to monitor the movement state of the patient on the hospital bed and whether the patient leaves the bed;

The height sensor is used to monitor whether the patient falls based on changes in height.

In a possible implementation, the combined sensor is specifically configured as:

Obtain pressure data from multiple pressure sensors in real time;

Determine whether the pressure data satisfies the preset data model;

Based on the judgment results of the data model, the patient's motion status in the hospital bed and whether the patient leaves the bed are judged.

In a possible implementation, the height sensor is specifically configured as:

When the patient leaves the bed, compare the measured value of the height sensor with the preset threshold;

If the measured value is less than the preset threshold within the preset time, it is determined that the patient has fallen.

In a possible implementation, if no alarm signal from the patient is received within a preset period, the monitoring frequency of the monitoring module is reduced.

In a possible implementation, the combination sensor, environmental monitoring sensor, sound sensor and camera are connected to the cloud server in a wired and/or wireless manner, and the height sensor is connected to the cloud server in a wireless manner, The warning module is connected to the cloud server in a wired manner.

In a possible implementation, the system also includes:

Vital sign sensors worn on the patient's body: used to monitor the patient's body temperature, pulse, respiration, blood pressure and heart rhythm.

In a possible implementation, the system also includes:

A lost locating device worn on the patient's body is used to locate the patient's real-time location through GPS.

In a possible implementation, the system also includes:

An infusion sensor installed on the infusion tube is used to monitor the infusion speed, infusion volume and critical liquid level.

In a second aspect of the present application, a method for inpatient status monitoring is provided. The method includes:

Obtain the pressure signal, height signal and environmental information measured by the sensor;

Determine whether the inpatient patient is in an abnormal state based on the pressure signal, height signal and environmental information;

If so, the abnormal status information is sent to the monitoring personnel.

To sum up, this application includes at least one of the following beneficial technical effects:

1. Establish an inpatient status monitoring system through the linkage of the monitoring module, warning module and cloud server, which combines combined sensors, height sensors, sound sensors, cameras and vital sign sensors into a multi-sensor network, which can integrate the patient, The ward end, nurse mobile end, and doctor end are effectively connected to conduct comprehensive monitoring of inpatients, improve risk warning capabilities for patients, and realize large-scale data storage and query on the cloud server to help doctors, nurses or caregivers better Assess patient status and achieve centralized management and control, rapid response, data tracking and other functions in order to formulate more accurate and personalized medical plans.

2. By adjusting the threshold, specific monitoring can be performed on specific patients, reducing the work pressure on nurses caused by false alarms or frequent alarms, and at the same time reducing the impact on other patients.

It should be understood that the content described in the Summary of the Invention is not intended to define key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the application will become readily apparent from the following description.

Description of the drawings

The above and other features, advantages and aspects of various embodiments of the present application will become more apparent with reference to the following detailed description taken in conjunction with the accompanying drawings. In the drawings, the same or similar reference numbers represent the same or similar elements, where:

Figure 1 shows a schematic structural diagram of an inpatient status monitoring system provided by an embodiment of the present application;

Figure 2 shows a schematic diagram of a combined sensor provided by an embodiment of the present application;

Figure 3 shows a flow chart of an inpatient status monitoring method according to an embodiment of the present application;

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

In order to facilitate understanding of the embodiments of the present application, the application scenarios involved in the embodiments of the present application are first introduced. It should be noted that the application scenario described in the embodiment of the present application is a scenario in which hospital medical staff monitors the status of inpatients. It is only for the purpose of explaining the technical solutions of the embodiment of the present application more clearly, and does not constitute the provision of the embodiment of the present application. Limitations of technical solutions. The inpatient status monitoring system provided by the embodiments of the present application is also applicable to other similar or similar scenarios of monitoring the status of inpatients.

In actual application scenarios, the inpatient status monitoring system is divided into patient terminals, nurse station terminals and doctor station terminals based on different personnel categories; based on different scenario implementation functions, the system is divided into ward terminals and medical station terminals.

Among them, the patient end is used to sense unexpected events such as cardiovascular disease emergencies, pressure ulcer risks, fall risks, bed fall risks, infusion risks, and missing events through multiple sensors, and achieve real-time warning; the nurse station end is used to Receive and process information from the patient side, and connect with the doctor station side to realize voice communication with patients and doctors; the doctor station side is used to retrieve information from the patient side and nurse station side at any time, and through beeps or information system prompt boxes Provide real-time warning, and record and store each warning information.

Specifically, the nurse at the nurse station uses a hand-held PDA and/or electronic watch to receive and display various information from the combined sensor on the patient side; at the same time, it processes various early warning information, such as eliminating alarms, etc.; and has the ability to communicate with the patient's bed pager It has the function of real-time voice communication and the function of making phone calls with patients and doctors; it also has the function of scanning the QR code for scanning the patient's medical card to obtain and verify the patient's identity information.

Among them, the medical card has an electronic medical record function. By scanning the patient's medical card (such as a QR code), the patient's medical record can be accessed and updated in real time, so that the nurse can immediately obtain the patient's medical history, medication records and other information.

Further, the ward end is the environment where the patient is, and the information comes from the warning on the patient end. When there is abnormal information being transmitted, the red light outside the ward lights up, and when there is no abnormal information being transmitted, it displays a green light; the medical station terminal is used to receive, display, Process, store and retrieve data at any time.

Specifically, the medical station terminal has the basic information overview function of inpatients commonly used in clinical practice, such as name, gender, age, medical record number, etc., as well as the real-time voice intercom function with the patient's bed pager.

It receives, displays, processes and stores data through the host, display and keyboard input devices, and buzzes and alarms and automatically records when there is abnormal data; at the same time, the early warning threshold can be manually set so that the threshold can be modified in time to adapt to different patients.

Figure 1 shows a schematic structural diagram of an inpatient status monitoring system according to an embodiment of the present application. Referring to Figure 1, the system includes a monitoring module, an alarm module, and a cloud server.

Among them, the monitoring module is used to monitor the movement of inpatients on the hospital bed, whether they fall, and the current environment information, including multiple sensors installed in the ward and worn on the patient's body, as well as cameras; the warning module is used to send messages to inpatients. Alarm signals and prompt medical staff include warning lights installed at medical stations and wards, as well as emergency buttons in wards; the cloud server is used to receive and store information from monitoring modules and warning modules, and transmit alarm signals to medical staff.

Specifically, the sensors include a combination sensor installed on the hospital bed, a height sensor installed on the patient's waist, a vital sign sensor and loss locating device installed on the patient's body, an infusion sensor installed on the infusion tube, and an environment installed in the ward. Monitoring sensors as well as sound sensors.

Among them, the combination sensor, environmental monitoring sensor, sound sensor and camera are connected to the cloud server in a wired and/or wireless manner, the height sensor is connected to the cloud server in a wireless manner, and the warning module is connected to the cloud server in a wired manner.

Referring to Figure 2, the combined sensor includes a plurality of pressure sensors arranged on the side of the hospital bed, the central axis and the pillow, and is used to monitor the movement state of the patient on the hospital bed and whether the patient leaves the bed.

Specifically, the combined sensor is specifically configured as:

Obtain pressure data from multiple pressure sensors in real time; determine whether the pressure data satisfies a preset data model; determine the patient's motion state on the bed and whether the patient leaves the bed based on the judgment results of the data model.

Among them, the preset data model collects historical test data to establish a data model of the patient's movements such as getting up, turning over on both sides, changing postures, etc., and determines the patient's condition by comparing the value of each pressure sensor with the preset value of leaving the bed and the size of the movement value. Movement status in the hospital bed and whether the patient leaves the bed.

For example, if the occipital pressure sensor data decreases to 0 and the pressure data of the central axis pressure sensor at the back and waist positions increase, the patient is considered to have stood up. If the data of the occipital pressure sensor changes within the preset range, and the data of the central axis pressure sensor, the first side sensor, and the second side sensor change and then return to stability, it is considered to have undergone a posture change (turning over).

For example, if each data of the combined sensor satisfies the bed-leaving data model, that is, the data of the occipital pressure sensor, central axis pressure sensor, and side pressure sensor all decrease to 0, the patient is considered to have left the bed.

It should be noted that if the combined sensor detects obvious rapid movement on the bed based on data changes, but there is no evidence that it is caused by the patient, for example, the sheets are hung on the mattress, the alarm signal sent by it should be regarded as It's a false alarm.

Further, a height sensor is provided on the patient's waist for monitoring whether the patient falls based on height changes.

Specifically, the height sensor is specifically configured as:

When the patient leaves the bed, the measured value of the height sensor is compared with the preset threshold; if the measured value within the preset time is less than the preset threshold, the patient is judged to have fallen.

In an achievable way, if the height of the patient's bed is 0.6m, the height sensor is preset to two positions, namely the bed position and the walking position. When the patient lies on the bed, if the combined sensor detects that the patient leaves the bed, and Within the preset time, the height sensor detects that the patient's waist height is lower than 0.55m, and the patient is judged to have fallen out of bed.

In an implementable manner, when the patient is walking, the patient's waist height in the walking position is preset to 0.9m. If the patient's waist height is lower than 0.3m within the preset time, the patient is considered to have fallen.

It should be noted that the preset threshold for waist height in walking state needs to take into account the patient's transition from walking to sitting or lying down. In addition, the patient's transition from one state to another, namely lying-sitting, sitting-walking, walking-sitting/lying, is a continuously changing time. The preset time can be determined by the doctor's station or nurse according to the patient's condition. The station is pre-configured within the system. For example, the state transition time is 1s, that is, if the above-described data change occurs within 1s, it is considered abnormal. If it exceeds 1s, it is considered irrelevant. Specifically, if it is detected that the measurement value of the height sensor quickly changes from the normal walking height preset value to the lying height preset value within 1 second, it will be considered that a fall has occurred and an alarm will be issued.

Among other things, by recording the actual time and duration of the fall/fall incident, it can be determined whether immediate notification to medical personnel or other relevant parties is required.

For example, if the patient's data returns to the initial state value again within the preset time, no notification will be made. Preferably, the preset time is set to 2 seconds.

Furthermore, environmental monitoring sensors are installed in the ward to monitor environmental factors in the room, including but not limited to temperature, humidity, oxygen content, etc., to assist medical staff in eliminating interference from environmental factors on data.

Furthermore, cameras are set up in the ward to observe the patient's status, location and activities in real time through video monitoring to assist in identifying possible dangers or risk factors, and to obtain more relevant information, such as the temperature and brightness of the entire room, etc. To further assist medical staff in assessing the patient's status and determine whether further treatment and intervention are needed.

Furthermore, the sound sensor is installed in the patient room and can detect the sounds made by the patient, such as breathing, snoring or grunting, and/or other sounds in the room, to further determine the patient's status and the environment.

Furthermore, the monitoring module also includes a vital signs sensor worn on the patient's body for monitoring the patient's body temperature, pulse, respiration, blood pressure and heart rhythm; a lost positioning device worn on the patient's body for locating the patient's real-time location via GPS. Position; the infusion sensor installed on the infusion tube is used to monitor the infusion speed, infusion volume and critical liquid level.

Furthermore, if the combined sensor detects that the frequency of the patient turning over or changing postures increases significantly, and/or rises or moves multiple times within a preset time, but there is no continuous activity or other abnormal alarm conditions, both the environmental monitoring sensor and the sound sensor will If there are no abnormalities, it can be considered that the patient may be experiencing uncomfortable symptoms, such as anxiety, restlessness, pain, etc., and/or poor sleep quality. At this time, the sensor records the abnormal condition and sends a reminder to the medical staff.

Furthermore, if the combined sensor monitors twice in a row during the preset period at night and shows that there is movement on the bed and it is judged that someone has gotten up, but the system does not receive the expected response during the second detection, for example, the light on the hospital bed does not turn on. When the emergency button is turned on or not pressed, and all vital signs are normal, it can be considered that the patient may be in a state of being unable to protect himself. For example, if he wants to go to the toilet, but cannot turn on the lights or cannot find the emergency button, the sensor sends Alarm signal to cloud server.

It should be noted that the cloud server will analyze and process the sensor data in real time, and autonomously adjust the sensitivity and threshold of the sensor to adapt to the characteristics and changes of different patients. For example, at night, the system will pay more attention to the sleeping conditions of elderly patients, while not disturbing the rest of other patients.

Further, if no alarm signal from the patient is received within the preset period, the monitoring frequency of the monitoring module is reduced.

For example, if the patient does not trigger any alarms or reminders for three consecutive days, and data analysis shows that his sleep quality is good, the monitoring frequency of the monitoring module can be gradually reduced or the sensor detection sensitivity can be reduced to reduce unnecessary alarms and interference.

Further, the following uses a specific example to describe the linkage between sensors:

Assume that an elderly patient uses the monitoring module mentioned in the embodiment of this application, and when an unexpected situation occurs, the height sensor detects that the patient has fallen, and sends an alarm signal to the cloud server. The combined sensor monitors whether there is abnormal movement on the bed, and these Movement events and baseline data are transmitted to the cloud server for analysis; the cloud server collects sensor data, analyzes the messages, and based on the configured logic rules, sends notifications to the medical station terminal, nurse station, doctor station and/or other concerns through the alarm module. Send alert information to other parties, for example, through text messages, phone calls, emails, etc.

According to the embodiments of the present disclosure, the following technical effects are achieved:

Through the linkage of monitoring module, warning module and cloud server, a set of inpatient status monitoring system is established, which combines combination sensors, height sensors, sound sensors, cameras and vital sign sensors into a multi-sensor network, which can connect the patient end and ward end. , nurses' mobile terminals, and doctors' terminals are effectively connected to monitor inpatients in an all-round way, improve risk warning capabilities for patients, and realize large-scale data storage and query on cloud servers to help doctors, nurses or caregivers better evaluate patients. Status, realizing functions such as centralized control, rapid response, and data tracking, in order to formulate more accurate and personalized medical plans; in addition, by adjusting the threshold, specific monitoring of specific patients can be carried out, reducing the risk of nurses caused by false alarms or frequent alarms. reduce work pressure while reducing the impact on other patients.

It should be noted that for the sake of simple description, the foregoing system embodiments are expressed as a series of module combinations. However, those skilled in the art should know that the present disclosure is not limited by the described module combination order. Because in accordance with the present disclosure, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are optional embodiments, and the actions and modules involved are not necessarily necessary for the present disclosure.

The above is an introduction to system embodiments. The solution described in this application will be further explained below through method embodiments.

Figure 3 shows a flowchart of a method for monitoring the status of an inpatient according to an embodiment of the present application. The device is shown in Figure 3. The method includes:

Step S301, obtain the pressure signal, altitude signal and environmental information measured by the sensor;

Step S302, determine whether the inpatient patient is in an abnormal state based on the pressure signal, altitude signal and environmental information;

Step S303, if yes, send the abnormal status information to the monitoring personnel.

It should be noted that when the inpatient status monitoring method provided by the above embodiments monitors the inpatient status, only the division of the above method steps is used as an example. In practical applications, the present disclosure is not limited by the described action sequence. , because according to the present disclosure, certain steps can be performed in other orders or at the same time to complete all or part of the functions described above. In addition, the inpatient status monitoring method provided by the above embodiments and the inpatient status monitoring system embodiment belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be described again here.

It should be understood that although various steps in the flowchart of the accompanying drawings are shown in sequence as indicated by arrows, these steps are not necessarily performed in the order indicated by arrows. Unless explicitly stated in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least some of the steps in the flow chart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and their execution order is also It does not necessarily need to be performed sequentially, but may be performed in turn or alternately with other steps or sub-steps of other steps or at least part of the stages.

It should be understood that "at least one" mentioned herein refers to one or more, and "plurality" refers to two or more. In the description of the embodiments of this application, unless otherwise stated, "/" means or, for example, A/B can mean A or B; "and/or" in this article is just a way to describe the association of related objects. Relationship means that three relationships can exist. For example, A and/or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in order to facilitate a clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as “first” and “second” are used to distinguish the same or similar items with basically the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the number and execution order, and words such as "first" and "second" do not limit the number and execution order.

The above are only some of the embodiments of the present application. It should be pointed out that those of ordinary skill in the technical field can also make several improvements and modifications without departing from the principles of the present application. These improvements and modifications can also be made. should be regarded as the scope of protection of this application.

Claims (10)

1. The in-patient state monitoring system is characterized by comprising a monitoring module, a warning module and a cloud server; the monitoring module comprises a plurality of sensors arranged in a patient room and worn on the body of the patient and a camera; the warning module comprises warning lamps arranged in the medical care station and the ward and an emergency button in the ward;

the monitoring module is used for monitoring the motion, falling or not and the current environmental information of the inpatients on the sickbed;

the warning module is used for sending warning signals to inpatients and prompting medical staff;

the cloud server is used for receiving and storing information of the monitoring module and the warning module and transmitting warning signals to medical staff.

2. The in-patient condition monitoring system of claim 1, wherein the sensors include a combination sensor disposed on the patient's bed, a height sensor disposed on the patient's waist, an environmental monitoring sensor disposed within the patient's room, and an acoustic sensor;

the combined sensor comprises a plurality of pressure sensors arranged at the side of a sickbed, a center shaft and a pillow part, and is used for monitoring the movement state of a patient on the sickbed and whether the patient leaves the sickbed;

the height sensor is used to monitor whether the patient falls based on the change in height.

3. The hospitalized patient status monitoring system of claim 2, wherein the combination sensor is specifically configured to:

acquiring pressure data of a plurality of pressure sensors in real time;

judging whether the pressure data meet a preset data model or not;

and judging whether the patient is in a movement state on the patient bed or not based on the judging result of the data model.

4. The hospitalized patient status monitoring system of claim 2, wherein the height sensor is specifically configured to:

comparing the measured value of the height sensor with a preset threshold value when the patient leaves the bed;

and if the measured value is smaller than the preset threshold value within the preset time, judging that the patient falls down.

5. The in-patient status monitoring system of claim 4 wherein the monitoring frequency of the monitoring module is reduced if no patient alarm signal is received within a predetermined period.

6. The hospitalized patient status monitoring system of claim 2, wherein the combination sensor, environmental monitoring sensor, sound sensor, and camera are wired and/or wirelessly connected to the cloud server, the altitude sensor is wirelessly connected to the cloud server, and the alert module is wired connected to the cloud server.

7. The in-patient status monitoring system of claim 1, further comprising:

vital sign sensors worn on the body of a patient for monitoring the patient's body temperature, pulse, respiration, blood pressure and heart rhythm.

8. The in-patient status monitoring system of claim 1, further comprising:

a lost positioning device worn on the patient's body for positioning the patient's real-time position via GPS.

9. The in-patient status monitoring system of claim 1, further comprising:

and the infusion sensor is arranged on the infusion tube and is used for monitoring the infusion speed, the infusion quantity and the critical liquid level.

10. A method of in-patient status monitoring, comprising:

acquiring pressure signals, height signals and environmental information measured by a sensor;

judging whether the state of the inpatient is abnormal or not based on the pressure signal, the height signal and the environmental information;

if yes, the abnormal state information is sent to a guardian.