Portable intelligent medical calling system
Through a portable intelligent medical call system, combined with emergency vocabulary analysis of voice habits and calculating distance and time ratios, the problem of inability to accurately evaluate patient situations and reasonably allocate work tasks in the prior art is solved, and rapid response and efficient emergency actions are achieved.
Patent Information
- Application Number
- CN202510063107.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-15
- Publication Date
- 2025-02-25
AI Technical Summary
The prior art fails to accurately and in detail to evaluate the severity of the patient's condition by only analyzing audio vocabulary, and fails to reasonably allocate characteristics such as staff physical signs and work task distance.
A portable intelligent medical call system is designed, including an intelligent mobile terminal, a processor, an interaction unit, a voice unit, a positioning unit and a time unit. By combining emergency vocabulary analysis and pronunciation habits to rate the task information, calculate the distance parameter value between the task bed and the terminal and the time ratio of the user's high-intensity time to the remaining active time, determine whether the terminal belongs to the maneuvering level or priority, and then send the corresponding task information.
It has achieved rapid assessment of the severity of an emergency, shortened the time interval from information acquisition to response, improved the efficiency and accuracy of emergency operations, and ensured the timely and orderly progress of various emergency measures.
Smart Images

Figure CN119516738A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical auxiliary tools, and in particular to a portable intelligent medical call system. Background Art
[0002] In various work scenarios in the hospital, medical staff need to communicate and collaborate frequently. For example, in the operating room, doctors, nurses, anesthesiologists and other team members need to work closely together to promptly transmit key information such as the progress of the operation and the patient's vital signs to ensure the smooth progress of the operation; in the emergency room, facing emergency patients, medical staff from different departments need to quickly assemble and work together to treat them. Fast and effective communication is one of the key factors to improve the efficiency and success rate of emergency treatment. Medical staff need to move around constantly at work, such as making rounds, patrolling wards, and transferring patients. Traditional fixed-line phones or wired communication equipment cannot meet their mobile communication needs, while walkie-talkies in the form of watches can be worn with you and do not take up too much space, making it convenient for medical staff to keep in touch at any time in various areas of the hospital, without being bound by cables, and will not cause a burden to carry, thus improving work efficiency and flexibility.
[0003] Chinese Patent Authorization Announcement No.: CN118018650B discloses a multi-point hospital community emergency call intercom system, method, equipment and medium. This invention discloses a multi-point hospital community emergency call intercom system, method, equipment and medium. According to the technical solution provided by the present invention, the system includes: a signal acquisition module is used to collect in real time a first signal including at least an audio signal and a pressing signal in the entire range of the hospital and / or community and transmit it to a signal analysis module; the signal analysis module is used to analyze the audio signal, and based on artificial intelligence voice recognition, determine whether the audio signal is an emergency call signal and calculate the location information of the signal source; the signal sending module is used to filter the signal sending object according to the spatial distance based on the location information, and send the emergency call signal to it; the receiving and processing module is used to receive the emergency call signal and alarm. Through the present invention, the collection scope of call information is expanded, and through intelligent judgment and intelligent positioning, the emergency call information is quickly judged and located, and then an alarm is sent to the nearest medical position, which greatly improves the rescue efficiency of emergency situations.
[0004] Chinese patent application publication number: CN119014828A discloses a heart rate and breathing real-time detection and language communication system, which includes: a vital sign detection module, a sound collection module, a data collector, a control module and a terminal device, wherein the vital sign module, the data collector, the control module and the terminal device are connected by signals in sequence, and the sound collection module, the control module and the terminal device are connected by signals in sequence. The heart rate and breathing real-time detection and language communication system provided by the present invention detects the vital signs of the staff such as heart rate and breathing, and transmits them to the terminal device through the data collection module. When the terminal device detects that the corresponding vital sign data exceeds a reasonable threshold, an alarm is issued to the staff on the job, and at the same time, the staff located outside can understand the physical condition of the staff on the job, the staff on the job can leave the workplace in time, and the staff outside can also prepare for rescue, thereby better improving the personal safety of the staff on the job.
[0005] However, the above method has the following problems: it fails to accurately and in detail evaluate the severity of the uploaded patient conditions by only analyzing the audio vocabulary, and fails to reasonably allocate work tasks by combining the physical signs of the staff and the distance of the work tasks. Summary of the invention
[0006] To this end, the present invention provides a portable intelligent medical call system to overcome the problems in the prior art that the severity of the uploaded patient condition cannot be accurately and detailedly evaluated by only analyzing audio vocabulary, and that the work tasks cannot be reasonably allocated by combining the staff's physical signs with the distance of the work tasks.
[0007] To achieve the above object, the present invention provides a portable intelligent medical call system, comprising: Several intelligent mobile terminals, which are used to collect user information, upload and receive task information, and conduct unilateral or multi-party communication; A processor, which is used to receive the user information and the task information, and to rate the uploaded task information, and to determine whether the smart mobile terminal belongs to a mobile level or a priority level and to send the corresponding task information according to the level of the smart mobile terminal; Wherein, for a single intelligent mobile terminal, it includes: An interaction unit, which is used to perform facial recognition on the user and receive an alarm signal; A voice unit, which is used to collect the user's voice habits, and upload and receive the task information; A positioning unit, used to locate the intelligent mobile terminal; The time unit is used to collect the user's heart rate and count the high-intensity time when the user's heart rate exceeds the preset heart rate value; The user information includes the user's voice habits, the location of the smart mobile terminal and the user's heart rate.
[0008] Furthermore, the processor further includes: a task processing unit, which is connected to the interaction unit, the voice unit, the positioning unit and the time unit respectively, and is used to rate the uploaded task information by analyzing the voice habits in combination with emergency vocabulary, send corresponding alarm information according to the task information rating, calculate the distance parameter value between the task bed and the smart mobile terminal, determine whether the smart mobile terminal belongs to the mobile level according to the distance parameter value, calculate the time ratio of the high-intensity time to the remaining active time of each user, determine whether the smart mobile terminal belongs to the priority level according to the time ratio, and send the corresponding task information according to the level of the smart mobile terminal; an alarm unit, which is connected to the interaction unit and the task processing unit respectively, and is used to receive the alarm information and send the alarm signal to the plurality of intelligent mobile terminals according to the alarm information; Among them, the voice habits include user speaking speed and user voice intensity, the task information rating includes general tasks, emergency tasks and special emergency tasks, the task bed is the bed that has uploaded the task information, the distance parameter value is related to the number of floor intervals and the horizontal moving distance, and the alarm information includes the alarm information of the emergency task and the alarm information of the special emergency task.
[0009] Furthermore, the task processing unit compares the number of the urgent words contained in the uploaded task information with a preset number by counting the number of the urgent words, and determines whether the task information belongs to the general task according to the comparison result, wherein: If the number of the urgent words included in the uploaded task information received by the task processing unit is less than a preset number, it is determined that the task information is the general task; If the task processing unit counts that the number of the urgent words contained in the uploaded task information is not less than a preset number, it is determined that the task information is not the general task; The preset number is related to the type of hospital department to which the smart mobile terminal belongs.
[0010] Furthermore, the task processing unit obtains a voice habit parameter value by calculating the collected voice habits of the user, and obtains a task voice parameter value by calculating the voice habits of the uploaded task information.
[0011] Furthermore, the task processing unit compares the voice habit parameter value with the task voice parameter value when determining that the task information is not the general task, and determines that the task information belongs to the emergency task or the special emergency task according to the comparison result, wherein: If the task voice parameter value is less than the voice habit parameter value, it is determined that the task information belongs to the emergency task; If the task voice parameter value is not less than the voice habit parameter value, it is determined that the task information belongs to the particularly urgent task.
[0012] Furthermore, the task processing unit compares the distance parameter value with a preset distance parameter value, and determines whether the intelligent mobile terminal belongs to the mobile level according to the comparison result, wherein: If the distance parameter value is less than or equal to the preset distance parameter value, it is determined that the smart mobile terminal belongs to the mobile level; If the distance parameter value is greater than the preset distance parameter value, it is determined that the smart mobile terminal does not belong to the mobile level; The preset distance parameter value is positively correlated with the size of the hospital building area.
[0013] Furthermore, the task processing unit compares the time ratio with a preset ratio, and determines whether the smart mobile terminal belongs to a priority level according to the comparison result, wherein: If the time ratio is less than or equal to the preset ratio, it is determined that the smart mobile terminal belongs to the priority level; If the time ratio is greater than the preset ratio, it is determined that the smart mobile terminal does not belong to the priority level; The preset ratio is positively correlated with the user's working hours.
[0014] Further, the task processing unit sends the general task to the smart mobile terminal determined as the mobile level and the priority level when there is the smart mobile terminal determined as the mobile level and the priority level; In a state where there is no smart mobile terminal determined to be at a mobile level and determined to be at a priority level, sending the general task to the smart mobile terminal determined to be at a priority level; In a state where there is no smart mobile terminal determined to be at a priority level, sending the general task to the smart mobile terminal determined to be at a mobile level; In a state where there is no smart mobile terminal determined to be at a mobile level and no smart mobile terminal determined to be at a priority level, the general task is sent to all the smart mobile terminals.
[0015] Furthermore, the intelligent mobile terminal is capable of performing unilateral communication or multi-party communication, and can encrypt the unilateral communication channel when performing unilateral communication; The unilateral communication is one-to-one communication among the smart mobile terminals, and the multi-party communication is communication among a number of the smart mobile terminals.
[0016] Furthermore, upon receiving the alarm information of the emergency task or the alarm information of the special emergency task, the alarm unit sends the alarm signal of the emergency task or the alarm signal of the special emergency task to all the smart mobile terminals.
[0017] Compared with the prior art, the beneficial effect of the present invention is that the system of the present invention analyzes the emergency words contained in the received uploaded task information by setting a voice unit, and can quickly make a preliminary judgment on the urgency of the situation by counting and analyzing the number of emergency words in the voice information almost at the same time as the voice information is received, which greatly shortens the time interval from obtaining information to responding, and helps to race against time to carry out emergency actions such as rescue. Based on the unified emergency level judgment standard, doctors can communicate and understand the severity of the emergency more clearly and accurately, and different emergency levels correspond to different emergency response plans. After accurately judging the level of the emergency, the most appropriate plan process can be quickly initiated to ensure that various emergency measures are carried out in a timely and orderly manner. While improving the overall efficiency of responding to emergencies, it effectively improves the accuracy and practicality of the portable intelligent medical call system.
[0018] Furthermore, by collecting the user's daily voice habits and comparing them with their voice habits in emergency situations, since each person's voice performance in daily and emergency situations is different, by collecting and analyzing the daily voice habits of a specific user as a benchmark, and then comparing them with the currently received voice, it is possible to achieve personalized emergency situation judgment for the user. Through this personalized comparative analysis, it is possible to more accurately identify whether the user is in an emergency state, rather than using a unified, potentially biased general standard to judge. Different environmental factors may affect the voice, resulting in misjudgment of emergency situations based solely on voice content or certain general voice features. However, by comparing the user's own daily and emergency voice habits, interference factors such as environmental noise can be filtered out to a certain extent. Users know that the system and equipment can accurately judge emergency situations and provide timely help by carefully analyzing their own voice habits, which will give them stronger trust in them, further improving the accuracy and practicality of the portable intelligent medical call system.
[0019] Furthermore, the present invention provides a positioning module to calculate the distance between the nurse and the bed that needs help in combination with the floor and corridor distance of the hospital work area, and obtain the nurse who is closer by comparison. When a medical emergency occurs, the nurse who is closer can reach the patient's location at a faster speed. In the hospital ward, when the patient's condition suddenly worsens, the nurse who is closer can respond to the call quickly, rush to the bedside in the shortest time, and immediately carry out preliminary first aid measures to buy precious time for subsequent further treatment. By accurately comparing the distance to arrange the nurse who is closer, the optimal allocation of nurse resources can be achieved, avoiding the situation that nurses who are farther away have to travel long distances to come while nurses who are closer are idle and unused, ensuring that each nurse can play his or her professional role in the most suitable position, while improving the overall work efficiency of the nursing team, further improving the accuracy and practicality of the portable intelligent medical call system.
[0020] Furthermore, the present invention rates the nurse's current working status by detecting the parameters of the nurse's physical signs and combining the working hours and the distance from the ward. Heart rate is one of the important indicators reflecting the degree of physiological stress of the human body. Combined with the nurse's actual working hours and walking distance, it can more comprehensively and accurately understand the stress status of the nurse in the work process. Within the same working time, if the nurse walks a long distance and the heart rate is continuously high, it means that the nurse has consumed a lot of physical energy and has a high work intensity, and may face greater work pressure. On the contrary, if the heart rate is relatively stable and the walking distance is also short, the work pressure may be relatively small. This comprehensive evaluation method can avoid judging the workload based on only a single factor. The one-sidedness caused by this can more accurately grasp the real working status of each individual nurse. At the same time, some nurses may have obvious fluctuations in heart rate under shorter working hours and walking distances, reflecting that they may need more attention and adjustment of work arrangements. It is helpful to formulate personalized work support measures according to the characteristics of different nurses. Additional work tasks or job rotation can be reasonably arranged according to actual conditions to improve the utilization efficiency of human resources. This can not only ensure the physical and mental health of nurses, but also ensure the normal operation of medical institutions, realize the scientific allocation of human resources, and reduce the risk of operational errors of nurses while further improving the accuracy and practicality of the portable intelligent medical call system. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 It is a structural schematic diagram of the portable intelligent medical call system of the present invention; Figure 2 A flowchart for determining the rating of task information according to an embodiment of the present invention; Figure 3 This is a flow chart of determining the mobility level of an intelligent mobile terminal according to an embodiment of the present invention; Figure 4This is a flow chart of determining the priority of a smart mobile terminal according to an embodiment of the present invention; DETAILED DESCRIPTION
[0022] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0023] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0024] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.
[0025] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0026] See also Figure 1 As shown, it is a structural schematic diagram of a portable intelligent medical call system of the present invention, a portable intelligent medical call system, comprising: Several intelligent mobile terminals, which are used to collect user information, upload and receive task information, and conduct unilateral or multi-party communication; a processor for receiving user information and task information, and for rating the uploaded task information, and for determining whether the smart mobile terminal belongs to a mobile level or a priority level and for sending corresponding task information according to the rating of the smart mobile terminal; Among them, for a single smart mobile terminal, including: An interaction unit, which is used to perform facial recognition on the user and receive an alarm signal; Voice unit, which is used to collect the user's voice habits, and upload and receive task information; A positioning unit, which is used to locate the smart mobile terminal; The time unit is used to collect the user's heart rate and count the high-intensity time when the user's heart rate exceeds the preset heart rate value; User information includes the user's voice habits, the location of the smart mobile terminal and the user's heart rate.
[0027] Specifically, the processor also includes: A task processing unit, which is respectively connected to the interaction unit, the voice unit, the positioning unit and the time unit, and is used to rate the uploaded task information by analyzing the voice habits in combination with the emergency vocabulary, send corresponding alarm information according to the task information rating, calculate the distance parameter value between the task bed and the smart mobile terminal, determine whether the smart mobile terminal belongs to the mobile level according to the distance parameter value, calculate the time ratio of each user's high-intensity time to the remaining active time, determine whether the smart mobile terminal belongs to the priority level according to the time ratio, and send corresponding task information according to the classification of the smart mobile terminal; An alarm unit, which is connected to the interaction unit and the task processing unit respectively, is used to receive alarm information and send alarm signals to a number of intelligent mobile terminals according to the alarm information; Among them, voice habits include user speaking speed and user voice intensity, task information ratings include general tasks, emergency tasks and special emergency tasks, task beds are beds that have uploaded task information, distance parameter values are related to the number of floor intervals and horizontal moving distance, and alarm information includes alarm information of emergency tasks and alarm information of special emergency tasks.
[0028] See also Figure 2 As shown, it is a flow chart of determining the task information rating in an embodiment of the present invention. The task processing unit compares the number of urgent words contained in the uploaded task information with the preset number by counting the number of urgent words, and determines whether the task information belongs to a general task according to the comparison result. If the number of urgent words included in the task information uploaded and received by the task processing unit is less than a preset number, the task information is determined to be a general task; If the number of urgent words included in the task information uploaded and received by the task processing unit is not less than a preset number, it is determined that the task information is not a general task; In implementation, the preset number of emergency words is 2. The speech unit compares the number of emergency words contained in the uploaded task information by counting the number of emergency words with the preset number. If the number of emergency words contained in the uploaded task information counted by the speech unit is 0 and is less than the preset number of 2, the task information is determined to be a general task. If the number of urgent words included in the uploaded task information received by the speech unit is 5 and is greater than the preset number of 2, it is determined that the task information is not a general task.
[0029] Among them, the preset number is related to the type of hospital department to which the smart mobile terminal belongs.
[0030] Understandably, the severity of the diseases treated by different hospital departments varies. The emergency department often faces various emergencies, such as severe trauma, acute myocardial infarction, poisoning, etc. These situations often require immediate rescue operations, so its emergency vocabulary is mostly centered around "cardiac arrest", "hemorrhage", "dyspnea", "shock" and other situations that are directly related to life safety and need to be dealt with quickly. The dermatology department treats relatively chronic skin diseases or milder skin diseases, with fewer emergency situations, and its commonly used vocabulary may focus more on "severe allergic reactions" and other relatively less life-threatening but still need to be dealt with in a timely manner. The conditions of some departments are rapidly developing, such as coronary heart disease and arrhythmia faced by the cardiology department. The condition may deteriorate rapidly in a short period of time. Therefore, the relevant emergency vocabulary will highlight "acute attack", "deterioration of the condition", "abnormal ECG monitoring", etc., so as to quickly convey the urgent changes in the condition and initiate the corresponding rescue procedures. On the other hand, the rehabilitation department is mainly responsible for helping patients with rehabilitation treatment. The disease progresses relatively slowly, and the frequency of use of emergency vocabulary is much lower. It may involve relatively rare emergency expressions such as "rehabilitation training accidents". Therefore, the preset number of emergency vocabulary for departments in different hospitals is different.
[0031] Specifically, the system of the present invention analyzes the emergency words contained in the uploaded task information by setting a voice unit, and can quickly make a preliminary judgment on the urgency of the situation by counting and analyzing the number of emergency words in the voice information almost at the same time as the voice information is received, which greatly shortens the time interval from obtaining information to responding, and helps to race against time to carry out emergency actions such as rescue. Based on the unified emergency level judgment standard, doctors can communicate and understand the severity of the emergency more clearly and accurately, and different emergency levels correspond to different emergency response plans. After accurately judging the level of the emergency, the most appropriate plan process can be quickly started to ensure that various emergency measures are carried out in a timely and orderly manner. While improving the overall efficiency of responding to emergencies, it effectively improves the accuracy and practicality of the portable intelligent medical call system.
[0032] Please continue reading Figure 2 As shown, the task processing unit obtains a voice habit parameter value by calculating the collected voice habits of the user, and obtains a task voice parameter value by calculating the voice habits of the uploaded task information.
[0033] It is understandable that in the process of calculating the voice habit parameter value, data collection is carried out first. First, the user's voice needs to be recorded in a variety of scenarios. These scenarios should cover daily communication scenarios, emotional fluctuation scenarios, and specific task-related scenarios. By widely collecting voice samples in different situations, in order to fully understand the user's voice performance, the sound intensity is measured synchronously with the voice recording. Professional instruments such as sound level meters can be used to accurately measure the sound intensity value when the user speaks. The sound level meter is placed at an appropriate distance from the user's mouth. It is generally recommended to be about 30-50 cm. The specific distance can be adjusted according to the actual situation to ensure that the measured sound intensity data can To truly reflect the sound intensity of the user's speech, the measured sound intensity data is processed and calculated in a speech sample. The average sound intensity value within a 1-minute duration can be selected, and all the measured sound intensity values within this period are added up, and then divided by the number of measurements to obtain the average sound intensity, which reflects the overall level of the user's sound intensity when speaking. Subsequently, the speaking speed is calculated, and the number of syllables or words spoken by the user within a certain period of time is calculated to determine the speaking speed. Optionally, a speech sample with a duration of 1 minute is taken, the number of syllables or words contained therein is counted, and then divided by 60 seconds to obtain the number of syllables or words per second as the speaking speed feature.
[0034] It can be understood that the extracted speech rate features and average sound intensity are weighted and summed to calculate the voice habit parameter value.
[0035] Optionally, the speech rate feature weight is 0.8, and the average sound intensity weight is 0.2. If a user speaks 3 words per second and the average sound intensity is 60 decibels, the voice habit parameter value is 0.8×3+0.2×60=14.4.
[0036] It is understandable that the user can upload task information via voice.
[0037] It can be understood that the task voice parameter value is calculated by extracting the speech rate characteristics and the average sound intensity from the task information uploaded by the user through voice, performing weighted summation, and calculating the task voice parameter value.
[0038] Optionally, the speech rate feature weight in the task information is 0.8, and the average sound intensity weight is 0.2. If a user uploads task information at a speech rate of 5 words per second and an average sound intensity of 80 decibels, the task voice parameter value is 0.8×5+0.2×80=20.
[0039] Specifically, when determining that the task information is not a general task, the task processing unit compares the voice habit parameter value with the task voice parameter value, and determines that the task information is an urgent task or a particularly urgent task according to the comparison result. If the task voice parameter value is less than the voice habit parameter value, the task information is determined to be an urgent task; If the task voice parameter value is not less than the voice habit parameter value, it is determined that the task information belongs to a particularly urgent task.
[0040] In implementation, if the task voice parameter value of 12.5 is less than the voice habit parameter value of 14.4, then the task information is determined to be an urgent task; If the task voice parameter value of 18 is greater than the voice habit parameter value of 14.4, it is determined that the task information belongs to a particularly urgent task.
[0041] Specifically, by collecting the user's daily voice habits and comparing them with their voice habits in emergency situations, since each person's voice performance in daily and emergency situations is different, by collecting and analyzing the daily voice habits of a specific user as a benchmark, and then comparing them with the voice currently received, it is possible to achieve personalized emergency situation judgment for the user. Through this personalized comparative analysis, it is possible to more accurately identify whether the user is in an emergency state, rather than using a unified, potentially biased general standard to judge. Different environmental factors may affect the voice, resulting in misjudgment of emergency situations based solely on voice content or certain general voice features. However, by comparing the user's own daily and emergency voice habits, interference factors such as environmental noise can be filtered out to a certain extent. Users know that the system and equipment can accurately judge emergencies and provide timely help by carefully analyzing their own voice habits, which will give them stronger trust in them, further improving the accuracy and practicality of the portable intelligent medical call system.
[0042] See also Figure 3 As shown, it is a flow chart of determining the mobility level of an intelligent mobile terminal according to an embodiment of the present invention. The task processing unit compares the distance parameter value with the preset distance parameter value, and determines whether the intelligent mobile terminal belongs to the mobility level according to the comparison result, wherein: If the distance parameter value is less than or equal to the preset distance parameter value, it is determined that the intelligent mobile terminal belongs to the mobile level; If the distance parameter value is greater than the preset distance parameter value, it is determined that the intelligent mobile terminal does not belong to the mobile level; In implementation, the preset distance parameter value is 17.6. If the distance parameter value is 13.2, which is less than the preset distance parameter value 17.6, then it is determined that the smart mobile terminal belongs to the mobile level. If the distance parameter value of 20.6 is greater than the preset distance parameter value of 17.6, it is determined that the smart mobile terminal does not belong to the mobile level.
[0043] The preset distance parameter value is positively correlated with the size of the hospital building area.
[0044] It is understandable that the building area of a hospital is the sum of the horizontal areas of each floor. The larger the area, the longer the walking distance will be.
[0045] It is understandable that the number of floor intervals directly reflects the difference in distance in the vertical direction. In general buildings, the height of each floor is relatively fixed, with each floor in residential buildings ranging from 2.8 meters to 3.2 meters and each floor in commercial office buildings ranging from 3.5 meters to 4.5 meters. When calculating the distance parameter value, from the 1st floor to the 5th floor, the number of floor intervals is 4. Assuming that each floor is 3 meters high, the distance in the vertical direction alone is 4×3=12 meters.
[0046] It can be understood that the weighted summation method is used to calculate the distance parameter value. Suppose we set the weight of the floor interval number to 0.6 and the weight of the horizontal moving distance to 0.4. Take the inpatient department's Ward A on the 3rd floor to Ward B on the 5th floor as an example. Each floor is 3 meters high. The horizontal moving distance from Ward A to the staircase is 20 meters, and the horizontal moving distance from the staircase on the 5th floor to Ward B is 15 meters. The floor interval number is 2, and the vertical distance = floor interval number × height of each floor = 2 × 3 = 6 meters. The total horizontal moving distance = 20 + 15 = 35 meters. The distance parameter value calculated by weighted summation = 0.6 × 6 + 0.4 × 35 = 3.6 + 14 = 17.6.
[0047] Specifically, the present invention sets up a positioning module to calculate the distance between the nurse and the bed that needs help in combination with the floor and corridor distance of the hospital work area, and obtains the nurse who is closer by comparison. When a medical emergency occurs, the nurse who is closer can reach the patient's location at a faster speed. In the hospital ward, when the patient's condition suddenly worsens, the nurse who is closer can respond to the call quickly, rush to the bedside in the shortest time, and immediately carry out preliminary first aid measures to buy precious time for subsequent further treatment. By accurately comparing the distance to arrange the nurse who is closer, the optimal allocation of nurse resources can be achieved, avoiding the situation that nurses who are farther away have to travel long distances to come, while nurses who are closer are idle and unused, ensuring that each nurse can play his or her professional role in the most suitable position, while improving the overall work efficiency of the nursing team, further improving the accuracy and practicality of the portable intelligent medical call system.
[0048] See also Figure 4 As shown, it is a flow chart of determining the priority of the smart mobile terminal according to an embodiment of the present invention. The task processing unit compares the time ratio with the preset ratio, and determines whether the smart mobile terminal belongs to the priority according to the comparison result, wherein: If the time ratio is less than or equal to the preset ratio, it is determined that the smart mobile terminal belongs to the priority level; If the time ratio is greater than the preset ratio, it is determined that the smart mobile terminal does not belong to the priority level; In implementation, the preset ratio is 0.3. If the time ratio is 0.1 and is less than the preset ratio 0.3, the smart mobile terminal is determined to be of priority; If the time ratio is 0.5 and is greater than the preset ratio 0.3, it is determined that the smart mobile terminal does not belong to the priority.
[0049] The preset ratio is positively correlated with the user's working hours.
[0050] It can be understood that high-intensity time is the high-intensity time when the user's heart rate exceeds the preset heart rate value. By collecting the user's heart rate value range in a calm state, for healthy adults, if the heart rate is about 40%-60% higher than the resting heart rate, it can be judged that the user is in a high-intensity work state. The preset heart rate value = the highest value of the user's heart rate value range in a calm state × 60%.
[0051] It can be understood that the calculation of the time ratio of high-intensity time to remaining active time can be carried out according to the following steps. The remaining active time is calculated by subtracting the elapsed working time from the total working time. For example, normal working hours are from 9 am to 5 pm, a total of 8 hours. If it is already 2 pm, then the elapsed working time is 5 hours (from 9 am to 2 pm), and the remaining active time is 8-5=3 hours. Assuming that the high-intensity time is 2 hours and the remaining active time is 4 hours, then their time ratio = high-intensity time ÷ remaining active time = 2÷4 = 0.5.
[0052] Specifically, the task processing unit sends a general task to the smart mobile terminal determined to be at the mobile level and at the priority level when there is a smart mobile terminal determined to be at the mobile level and at the priority level; In a state where there is no smart mobile terminal determined to be at the mobile level and determined to be at a priority level, sending a general task to the smart mobile terminal determined to be at a priority level; In the absence of a smart mobile terminal determined as a priority level, sending a general task to a smart mobile terminal determined as a mobile level; In a state where there is no smart mobile terminal determined to be at the mobile level and no smart mobile terminal determined to be at the priority level, a general task is sent to all smart mobile terminals.
[0053] Specifically, the present invention rates the nurse's current working status by detecting the parameters of the nurse's physical signs and combining the working hours and the distance from the ward. Heart rate is one of the important indicators reflecting the degree of physiological stress of the human body. Combined with the nurse's actual working hours and walking distance, it can more comprehensively and accurately understand the stress status of the nurse in the work process. Within the same working time, if the nurse walks a long distance and the heart rate is continuously high, it means that the nurse has consumed a lot of physical energy and has a high work intensity, and may face greater work pressure. On the contrary, if the heart rate is relatively stable and the walking distance is also short, the work pressure may be relatively small. This comprehensive evaluation method can avoid judging the workload based on only a single factor. The one-sidedness caused by this can more accurately grasp the real working status of each individual nurse. At the same time, some nurses may have obvious fluctuations in heart rate under shorter working hours and walking distances, reflecting that they may need more attention and adjustment of work arrangements. It is helpful to formulate personalized work support measures according to the characteristics of different nurses. Additional work tasks or job rotation can be reasonably arranged according to actual conditions to improve the utilization efficiency of human resources. This can not only ensure the physical and mental health of nurses, but also ensure the normal operation of medical institutions, realize the scientific allocation of human resources, and reduce the risk of operational errors of nurses while further improving the accuracy and practicality of the portable intelligent medical call system.
[0054] Specifically, the intelligent mobile terminal can perform unilateral communication or multi-party communication, and can encrypt the unilateral communication channel when performing unilateral communication; Among them, unilateral communication refers to one-to-one communication between smart mobile terminals, and multi-party communication refers to communication between several smart mobile terminals.
[0055] Specifically, the alarm unit sends an alarm signal of an emergency task or an alarm signal of a special emergency task to all smart mobile terminals when receiving the alarm information of an emergency task or the alarm information of a special emergency task.
[0056] It is understandable that the smart mobile terminal can be made into a wearable watch.
[0057] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
[0058] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A portable intelligent medical call system, characterized in that: include: Several intelligent mobile terminals, which are used to collect user information, upload and receive task information, and conduct unilateral or multi-party communication; A processor, which is used to receive the user information and the task information, and to rate the uploaded task information, and to determine whether the smart mobile terminal belongs to a mobile level or a priority level and to send the corresponding task information according to the level of the smart mobile terminal; Wherein, for a single intelligent mobile terminal, it includes: An interaction unit, which is used to perform facial recognition on the user and receive an alarm signal; A voice unit, which is used to collect the user's voice habits, and upload and receive the task information; A positioning unit, used to locate the intelligent mobile terminal; The time unit is used to collect the user's heart rate and count the high-intensity time when the user's heart rate exceeds the preset heart rate value; The user information includes the user's voice habits, the location of the smart mobile terminal and the user's heart rate.
2. The portable intelligent medical call system according to claim 1, characterized in that: The processor further comprises: a task processing unit, which is connected to the interaction unit, the voice unit, the positioning unit and the time unit respectively, and is used to rate the uploaded task information by analyzing the voice habits in combination with emergency vocabulary, send corresponding alarm information according to the task information rating, calculate the distance parameter value between the task bed and the smart mobile terminal, determine whether the smart mobile terminal belongs to the mobile level according to the distance parameter value, calculate the time ratio of the high-intensity time to the remaining active time of each user, determine whether the smart mobile terminal belongs to the priority level according to the time ratio, and send the corresponding task information according to the level of the smart mobile terminal; an alarm unit, which is connected to the interaction unit and the task processing unit respectively, and is used to receive the alarm information and send the alarm signal to the plurality of intelligent mobile terminals according to the alarm information; Among them, the voice habits include user speaking speed and user voice intensity, the task information rating includes general tasks, emergency tasks and special emergency tasks, the task bed is the bed that has uploaded the task information, the distance parameter value is related to the number of floor intervals and the horizontal moving distance, and the alarm information includes the alarm information of the emergency task and the alarm information of the special emergency task.
3. The portable intelligent medical call system according to claim 2, characterized in that: The task processing unit compares the number of the urgent words contained in the uploaded task information with a preset number by counting the number of the urgent words, and determines whether the task information belongs to the general task according to the comparison result, wherein: If the number of the urgent words included in the uploaded task information received by the task processing unit is less than a preset number, it is determined that the task information is the general task; If the task processing unit counts that the number of the urgent words contained in the uploaded task information is not less than a preset number, it is determined that the task information is not the general task; The preset number is related to the type of hospital department to which the smart mobile terminal belongs.
4. The portable intelligent medical call system according to claim 3, characterized in that: The task processing unit obtains a voice habit parameter value by calculating the collected voice habit of the user, and obtains a task voice parameter value by calculating the voice habit of the uploaded task information.
5. The portable intelligent medical call system according to claim 4, characterized in that: The task processing unit compares the voice habit parameter value with the task voice parameter value when determining that the task information is not the general task, and determines that the task information belongs to the emergency task or the special emergency task according to the comparison result, wherein: If the task voice parameter value is less than the voice habit parameter value, it is determined that the task information belongs to the emergency task; If the task voice parameter value is not less than the voice habit parameter value, it is determined that the task information belongs to the particularly urgent task.
6. The portable intelligent medical call system according to claim 5, characterized in that: The task processing unit compares the distance parameter value with a preset distance parameter value, and determines whether the intelligent mobile terminal belongs to the mobile level according to the comparison result, wherein: If the distance parameter value is less than or equal to the preset distance parameter value, it is determined that the smart mobile terminal belongs to the mobile level; If the distance parameter value is greater than the preset distance parameter value, it is determined that the smart mobile terminal does not belong to the mobile level; The preset distance parameter value is positively correlated with the size of the hospital building area.
7. The portable intelligent medical call system according to claim 6, characterized in that: The task processing unit compares the time ratio with a preset ratio, and determines whether the smart mobile terminal belongs to a priority level according to the comparison result, wherein: If the time ratio is less than or equal to the preset ratio, it is determined that the smart mobile terminal belongs to the priority level; If the time ratio is greater than the preset ratio, it is determined that the smart mobile terminal does not belong to the priority level; The preset ratio is positively correlated with the user's working hours.
8. The portable intelligent medical call system according to claim 7, characterized in that: The task processing unit sends the general task to the smart mobile terminal determined as the mobile level and the priority level when there is the smart mobile terminal determined as the mobile level and the priority level; In a state where there is no smart mobile terminal determined to be at a mobile level and determined to be at a priority level, sending the general task to the smart mobile terminal determined to be at a priority level; In a state where there is no smart mobile terminal determined to be at a priority level, sending the general task to the smart mobile terminal determined to be at a mobile level; In a state where there is no smart mobile terminal determined to be at a mobile level and no smart mobile terminal determined to be at a priority level, the general task is sent to all the smart mobile terminals.
9. The portable intelligent medical call system according to claim 8, characterized in that: The intelligent mobile terminal is capable of unilateral communication or multi-party communication, and can encrypt the unilateral communication channel when performing unilateral communication; The unilateral communication is one-to-one communication among the smart mobile terminals, and the multi-party communication is communication among a number of the smart mobile terminals.
10. The portable intelligent medical call system according to claim 9, characterized in that: The alarm unit, upon receiving the alarm information of the emergency task or the alarm information of the special emergency task, sends the alarm signal of the emergency task or the alarm signal of the special emergency task to all the smart mobile terminals.
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