CN111933276A - Intelligent hospital-oriented person-information-physical system - Google Patents
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Abstract
The invention relates to a person-information-physical system facing an intelligent hospital, which comprises: the non-contact physical sign detection sensor group is used for sensing the behavior and physical characteristic information of a patient and acquiring multi-dimensional sensing data; the medical patient behavior sensing module is used for carrying out data fusion processing on the sensing data to obtain real-time physical sign data; the edge computing intelligent terminal is connected with the intelligent base station and used for executing a local computing task according to the real-time sign data and executing a migration computing task through the intelligent base station to obtain the physical condition value of the patient; and the processing opinion feedback module is used for judging whether the physical condition value of the patient is abnormal or not, and if so, generating a processing opinion according to the real-time physical sign data and the pre-stored historical physical sign data and feeding back the processing opinion to the patient. Compared with the prior art, the method has the advantages of high utilization rate of medical resources, low time delay, high operation speed, high working efficiency, improvement of medical quality and the like.
Description
Technical Field
The invention relates to the field of intelligent medical treatment, in particular to a person-information-physical system for an intelligent hospital.
Background
The hospital is a medical institution which carries out necessary medical examination, treatment measures, nursing techniques, service of receiving a doctor, rehabilitation equipment, treatment and transportation and the like for patients according to laws, rules and industrial specifications and mainly aims at rescuing and supporting injuries, the service objects of the hospital comprise not only symptomatic patients and wounded persons but also old people which cannot take care of themselves or have limited medical care dependence on activities, severe patients who have medical care dependence or unstable illness and need long-term rehabilitation and frequent observation and examination, or other specific conditions and groups, such as healthy people (such as pregnant women, lying-in women and newborn babies) and fully healthy people (such as people who carry out physical examination in the hospital). The intelligent hospital is a specific application of the intelligent earth in the medical industry. At present, China is in the key stage of the information era, and the establishment and optimization of an intelligent hospital are important measures for the deep reformation of a medical system, are necessary preconditions for the development of the information era and are also important foundations for promoting the realization of the stable development of the medical career of China.
The range of intelligent hospitals mainly includes three major fields: the first is "smart medicine" directed to medical personnel. The information construction with the electronic medical record as the core, and the interconnection and intercommunication of the electronic medical record and other systems such as images, inspection and the like. The second area is patient-oriented "intelligent services". The all-in-one machines and self-service machines of many hospitals comprise used mobile phone settlement, appointment registration, appointment diagnosis and treatment and information reminding, and comprise derived services, such as pushing and prompting of parking information. The patient can feel more conveniently and quickly. The third area is "intelligent management" for hospitals. One of the most important components of the fine management of hospitals is the fine cost accounting for the internal logistics of these hospitals, and the manager can see the operating status of the whole hospital, including the office system of OA, by using a mobile phone or on a computer in the office. This large area is used for the fine information management of hospitals.
An intelligent hospital can be divided into seven large systems, five large indexes and four large data centers. The seven major systems are a patient relationship management system, an electronic medical record system, a clinical information system, a hospital basic information system, a management decision system, a regional coordination system and an administrative business system respectively. The five indexes are a patient main index, an order main index, a staff main index, an asset main index and a department main index. The four data centers of gravity are the clinical data center, the administrative data center, the image data center and the regional data center.
The HCPS system is an abbreviation for human-information-physical systems (HCPS), which is a derivative of the human-physical systems (HPS) system.
As shown in fig. 1, the HPS system is mainly composed of two parts: people and physical systems, where physical systems (physical systems) — P is the subject, work tasks are accomplished through physical systems; the human (human) -H is the main and dominant factor, the human is the creator of the physical system and the user of the physical system, and the perception, learning and cognition, analysis and decision, control operation and the like required for completing the work task are all completed by the human. For example, in a traditional hospital, when a doctor realizes a medical action, the doctor needs to perform a corresponding clinical operation by sensing, analyzing and deciding by hands and eyes and operating related medical equipment according to the condition of a patient, so as to complete the corresponding medical action.
As shown in fig. 2, the HCPS system adds a learning and cognitive part based on a new generation artificial intelligence technology to the information system, and has not only stronger abilities of sensing, decision making and control, but also learning, cognitive and knowledge generating abilities, i.e., "artificial intelligence" in the true sense; the 'knowledge base' in the information system is built by people and learning cognitive systems of the information system, and not only comprises various kinds of knowledge input by people, but also more importantly comprises knowledge obtained by learning of the information system, especially the knowledge which is difficult for people to accurately describe and process, and the knowledge base can be continuously accumulated, continuously perfected and continuously optimized through continuous learning in the using process.
The system model is basically oriented to intelligent manufacturing, but at present, the medical industry is gradually intelligentized, more information needs to be processed, and the intelligent manufactured human-information-physical system is applied to the construction of an intelligent hospital to help make up the problem that the current intelligent hospital is built, so that the intelligent hospital is further supplemented. But there is currently no paper or patent publication on which to study.
The current medical systems suffer from the following disadvantages:
1. medical resources are currently in short supply. The medical resources of China cannot meet the instant requirements of patients in time, and when the patients need the intervention help of medical behaviors, the patients cannot be helped by medical staff immediately, so that the medical behaviors are delayed, and the conditions of the patients can be influenced.
2. The reaction mechanism of the medical system takes a long time and has a slow reaction speed, and the patient with an emergency cannot be rescued in time correspondingly, so that the optimal time for executing the corresponding medical action is missed.
Disclosure of Invention
The invention aims to overcome the defects of long time consumption and low reaction speed of a reflection mechanism of a medical system in the prior art and provide a human-information-physical system oriented to an intelligent hospital.
The purpose of the invention can be realized by the following technical scheme:
an intelligent hospital-oriented person-information-physical system comprising:
the non-contact physical sign detection sensor group is used for sensing the behavior and physical characteristic information of a patient and acquiring multi-dimensional sensing data;
the medical patient behavior sensing module is used for carrying out data fusion processing on the sensing data to obtain real-time physical sign data;
the edge computing intelligent terminal is connected with an intelligent base station and used for executing a local computing task according to the real-time sign data and executing a migration computing task through the intelligent base station to obtain the physical condition value of the patient;
and the processing opinion feedback module is used for judging whether the physical condition value of the patient is abnormal or not, and if so, generating a processing opinion according to the real-time physical sign data and the pre-stored historical physical sign data and feeding back the processing opinion to the patient.
Further, in the opinion processing feedback module, the generating process of the processing opinion is specifically,
firstly, loading the real-time physical sign data and the historical physical sign data into an analysis engine to obtain an initial diagnosis result, wherein a diagnosis model algorithm is stored in the analysis engine in advance;
and then, loading the initial diagnosis result into a decision system, wherein an expert decision algorithm is stored in the decision system in advance, and the decision system generates the processing opinion through the expert decision algorithm according to the initial diagnosis result and by combining platform service data.
Further, the non-contact vital signs detection sensor set comprises:
a millimeter wave radar for sensing distance information to the patient;
the infrared sensor is used for sensing the body temperature information of the patient;
a visual sensor to identify patient behavior information.
Further, the data fusion processing process of the medical patient behavior perception module specifically includes the following steps:
s101: acquiring the sensing data;
s102: carrying out feature extraction on the sensing data to obtain a feature vector;
s103: carrying out target pattern recognition processing on the feature vector to obtain target description data;
s104: grouping the sensing data according to the same target according to the target description data;
s105: and synthesizing the sensing data in each target group by using a fusion algorithm.
Further, the data processing process of the edge computing intelligent terminal is specifically that
And generating a local calculation task and a migration calculation task according to the real-time sign data, completing the migration calculation task through the intelligent base station, and locally completing the local calculation task so as to obtain the physical condition value of the patient.
Further, the migration calculation task specifically includes obtaining a calculation migration decision matrix corresponding to the real-time sign data; the local calculation task is specifically to calculate the physical condition value of the patient according to the real-time sign data and the calculation migration decision matrix.
Further, the edge computing intelligent terminal sends a computing migration request to the intelligent base station, and receives the computing migration decision matrix, thereby completing the migration computing task.
Furthermore, the intelligent base station is also connected with a core network, and is used for interacting with the core network and storing data.
Further, the number of the edge computing intelligent terminals is multiple.
Further, the processing opinion feedback module transmits the processing opinion to an information display terminal for reminding a patient so as to perform feedback.
Compared with the prior art, the invention has the following advantages:
(1) the utilization rate of medical resources is improved: at present, the population of China is continuously increased, the number of people with medical requirements is far higher than that of medical staff in a medical system, and the intelligent hospital human-information-physical system (HCPS) is built to help a patient to receive medical behaviors and optimize the experience of the patient under the conditions that the medical staff is in short supply and medical resources are in shortage.
(2) The time delay is low, the operation speed is high: edge calculation is not carried out like cloud calculation any more, calculation needs to be carried out in a core network, calculation can be finished at the edge of a mobile base station or a network, the calculation speed is high, the delay of preparation time for medical staff to take medical actions when a patient is in an emergency is effectively reduced through a non-contact sign sensor, and the patient can obtain corresponding medical assistance in time.
(3) The work efficiency is improved: the HCPS system can be used for automatically acquiring the physical sign information of the patient, and the auxiliary automation equipment can greatly improve the working efficiency of medical staff;
(4) the medical quality is greatly improved: the complete patient sign information, the patient historical data and the effective medical decision system can ensure the compliance of medical behaviors, avoid medical errors and effectively improve the medical quality.
Drawings
FIG. 1 is a schematic diagram of the structure of an HPS system;
FIG. 2 is a schematic diagram of the structure of the HCPS system;
FIG. 3 is a schematic diagram of a data processing flow of the edge computing intelligent terminal;
FIG. 4 is a data processing flow diagram of the opinion feedback processing module.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Example 1
The embodiment fuses non-contact sign sensors such as millimeter wave radar, infrared sensor, vision camera, combines the mixed reality intelligent terminal based on low time delay edge calculation, builds medical action perception system model machine to realize people-information-physical system (HCPS) towards wisdom hospital, this people-information-physical system towards wisdom hospital includes:
the non-contact physical sign detection sensor group is used for sensing the behavior and physical characteristic information of a patient and acquiring multi-dimensional sensing data;
the medical patient behavior sensing module is used for carrying out data fusion processing on the sensing data to obtain real-time physical sign data;
the edge computing intelligent terminal is connected with the intelligent base station and used for executing a local computing task according to the real-time sign data and executing a migration computing task through the intelligent base station to obtain the physical condition value of the patient;
and the processing opinion feedback module is used for judging whether the physical condition value of the patient is abnormal or not, and if so, generating a processing opinion according to the real-time physical sign data and the pre-stored historical physical sign data and feeding back the processing opinion to the patient.
Each portion is described in detail below.
1. Non-contact physical sign detection sensor group
The non-contact sign detection sensor group comprises:
a millimeter wave radar for sensing distance information to the patient;
the infrared sensor is used for sensing the body temperature information of the patient;
a visual sensor to identify patient behavior information.
Equivalently, the millimeter wave radar is used for providing distance information, the infrared sensor is used for providing body temperature information of the patient, the visual camera is used for identifying the behavior of the patient, the behavior information of the patient is provided, and the sensor is used for transmitting body characteristic information of the patient.
2. Medical patient behavior sensing module
The data fusion processing process of the medical patient behavior perception module specifically comprises the following steps:
s101: acquiring sensing data;
s102: carrying out feature extraction on the sensing data to obtain a feature vector;
s103: carrying out target pattern recognition processing on the feature vector to obtain target description data;
s104: grouping the sensing data according to the same target according to the target description data;
s105: and synthesizing the sensing data in each target group by using a fusion algorithm.
Equivalently, firstly, a sensor is used for acquiring multi-dimensional sensing data, then the acquired multi-dimensional sensing data is preprocessed to acquire input data required by a model,
the multi-sensor data fusion principle is as follows:
(1) collecting data of an observation target by N different types of sensors;
(2) the output data of the sensor is subjected to feature extraction transformation to extract a feature vector Y representing the observation datai；
(3) For feature vector YiPerforming pattern recognition processing (using feature vector YiA statistical pattern recognition method converted into target attribute judgment, etc.) to complete the description of each sensor about the target;
(4) the description data of each sensor about the target is grouped according to the same target, namely, the description data is related;
(5) and synthesizing the data of each sensor of each target by using a fusion algorithm to obtain the consistency explanation and description of the target.
On a hardware level, firstly, obtaining data of different dimensions from different sensors, and then carrying out multi-dimensional data fusion preprocessing on the data obtained by the sensors; on the software level, the preprocessed data obtained from the hardware is input into the model, the output data is obtained after the processing of the model layer and the information layer, and corresponding operation is executed according to the output of the model.
3. Edge computing intelligent terminal
As shown in fig. 3, the data processing process of the edge computing intelligent terminal is specifically as follows
And generating a local calculation task and a migration calculation task according to the real-time sign data, completing the migration calculation task through the intelligent base station, and locally completing the local calculation task so as to obtain the physical condition value of the patient.
The migration calculation task specifically comprises the steps of obtaining a calculation migration decision matrix corresponding to real-time sign data; the local calculation task is specifically to calculate the physical condition value of the patient according to the real-time physical sign data and the calculation migration decision matrix.
And the edge computing intelligent terminal sends a computing migration request to the intelligent base station and receives a computing migration decision matrix so as to complete a migration computing task.
The intelligent base station is also connected with a core network and used for interacting with the core network and storing data. The number of the edge computing intelligent terminals is multiple.
Equivalently, firstly, a mobile terminal (namely an edge computing intelligent terminal) which needs to perform computing migration sends a computing migration request; after receiving a request initiated by a mobile terminal, an intelligent base station for calculating migration performs calculation by using a mobile edge calculation service, returns a decision matrix corresponding to data provided by the mobile terminal after the calculation is completed, interacts with a server in a core network, and stores data required by a task; and after receiving the decision matrix of the calculation migration, the mobile terminal executes a local calculation task.
4. Opinion processing feedback module
As shown in fig. 4, in the processing opinion feedback module, the generation process of the processing opinion is specifically,
firstly, loading real-time physical sign data and historical physical sign data into an analysis engine to obtain an initial diagnosis result, wherein the analysis engine stores a diagnosis model algorithm in advance;
and then, loading the initial diagnosis result into a decision system, wherein an expert decision algorithm is stored in the decision system in advance, and the decision system generates a processing suggestion through the expert decision algorithm according to the initial diagnosis result and by combining platform service data.
The processing opinion feedback module transmits the processing opinion to an information display terminal for reminding a patient so as to perform feedback.
Taking a patient-based intelligent hospital-oriented human-information-physical system (HCPS) as an example, firstly, according to historical sign data of a patient in a database and real-time sign data provided by a medical patient behavior perception system, an analysis engine is utilized to obtain a preliminary diagnosis result by using a diagnosis model algorithm, then the preliminary diagnosis result and platform service data are utilized to carry out word segmentation again by using an expert decision algorithm, and the obtained processing suggestion is fed back to the patient.
5. Detailed description of the invention
Taking a certain patient as an example, when the patient is observed in a hospital, the body characteristic information of the patient is monitored by using a non-contact sign sensor, such as distance information provided by using a millimeter wave radar, body temperature information provided by an infrared sensor, patient behavior information identified by a visual camera, and the like. The acquired multidimensional sensing data needs to be preprocessed so as to acquire input data required by a software model, and the process is as follows:
firstly, collecting data of an observation target by N different types of sensors; then, the output data of the sensor is subjected to transformation of feature extraction, and a feature vector Y representing the observed data is extractedi(ii) a Second pair of feature vectors YiPerforming pattern recognition processing (using feature vector YiA statistical pattern recognition method converted into target attribute judgment, etc.) to complete the description of each sensor about the target; the description data of each sensor about the target is grouped according to the same target, namely, the description data is related; and synthesizing the data of each sensor of each target by using a fusion algorithm to obtain the consistency explanation and description of the target. And after the data preprocessing is finished, information is transmitted to the monitoring terminal.
The monitoring terminal executes corresponding calculation after receiving the physical characteristic information of the patient, and if the calculation can be completed locally, the monitoring terminal performs self-calculation; if the monitoring terminal cannot complete locally and needs to perform migration calculation, the mobile terminal to perform the calculation migration sends a calculation migration request; after receiving a request initiated by a mobile terminal, the intelligent base station for calculating migration uses a mobile edge calculation service to calculate, and after the calculation is completed, the intelligent base station returns a decision matrix corresponding to the data provided by the mobile terminal to the mobile terminal, and simultaneously interacts with a server in a core network to store the data required by the task.
If the physical characteristics of the patient are abnormal values after model processing, the final processing suggestion can be obtained and fed back to the patient through the processing of a human-information-physical system facing the intelligent hospital according to the historical physical sign data of the patient in the database and the real-time physical sign data provided by the behavior perception system of the medical patient. The patient can obtain better medical assistance aiming at the current body characteristic situation in time.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. An intelligent hospital-oriented person-information-physical system, comprising:
the non-contact physical sign detection sensor group is used for sensing the behavior and physical characteristic information of a patient and acquiring multi-dimensional sensing data;
the medical patient behavior sensing module is used for carrying out data fusion processing on the sensing data to obtain real-time physical sign data;
the edge computing intelligent terminal is connected with an intelligent base station and used for executing a local computing task according to the real-time sign data and executing a migration computing task through the intelligent base station to obtain the physical condition value of the patient;
and the processing opinion feedback module is used for judging whether the physical condition value of the patient is abnormal or not, and if so, generating a processing opinion according to the real-time physical sign data and the pre-stored historical physical sign data and feeding back the processing opinion to the patient.
2. The intelligent hospital-oriented human-information-physical system according to claim 1, wherein in said processing opinion feedback module, the generation process of said processing opinion is specifically,
firstly, loading the real-time physical sign data and the historical physical sign data into an analysis engine to obtain an initial diagnosis result, wherein a diagnosis model algorithm is stored in the analysis engine in advance;
and then, loading the initial diagnosis result into a decision system, wherein an expert decision algorithm is stored in the decision system in advance, and the decision system generates the processing opinion through the expert decision algorithm according to the initial diagnosis result and by combining platform service data.
3. The intelligent hospital-oriented human-information-physical system according to claim 1, wherein the set of non-contact sign detection sensors includes:
a millimeter wave radar for sensing distance information to the patient;
the infrared sensor is used for sensing the body temperature information of the patient;
a visual sensor to identify patient behavior information.
4. The intelligent hospital-oriented human-information-physical system according to claim 1, wherein the data fusion process of the medical patient behavior awareness module specifically comprises the following steps:
s101: acquiring the sensing data;
s102: carrying out feature extraction on the sensing data to obtain a feature vector;
s103: carrying out target pattern recognition processing on the feature vector to obtain target description data;
s104: grouping the sensing data according to the same target according to the target description data;
s105: and synthesizing the sensing data in each target group by using a fusion algorithm.
5. The intelligent hospital-oriented human-information-physical system according to claim 1, wherein the data processing process of the edge computing intelligent terminal is embodied as
And generating a local calculation task and a migration calculation task according to the real-time sign data, completing the migration calculation task through the intelligent base station, and locally completing the local calculation task so as to obtain the physical condition value of the patient.
6. The intelligent hospital-oriented human-information-physical system according to claim 5, wherein the migration calculation task is specifically to obtain a calculation migration decision matrix corresponding to the real-time physical sign data; the local calculation task is specifically to calculate the physical condition value of the patient according to the real-time sign data and the calculation migration decision matrix.
7. The intelligent hospital-oriented human-information-physical system according to claim 6, wherein the edge-computing intelligent terminal sends a computing migration request to the intelligent base station, receives the computing migration decision matrix, and completes the migration computing task.
8. The intelligent hospital-oriented human-information-physical system according to claim 5, wherein the intelligent base station is further connected with a core network for interacting with the core network for data storage.
9. The intelligent hospital-oriented human-information-physical system according to claim 1, wherein the number of the edge-computing intelligent terminals is plural.
10. The intelligent hospital-oriented personal-information-physical system as claimed in claim 1, wherein the processing opinion feedback module performs feedback by transmitting the processing opinion to an information display terminal for reminding a patient.
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| CN114842935A (en) * | 2022-04-29 | 2022-08-02 | 中国人民解放军总医院第六医学中心 | Intelligent detection method and system for night ward round of hospital |
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| CN110491482A (en) * | 2018-08-15 | 2019-11-22 | 上海好医通健康信息咨询有限公司 | A kind of medical resource shared system based on mobile Internet |
| CN110534186A (en) * | 2019-08-29 | 2019-12-03 | 重庆同仁至诚智慧医疗科技股份有限公司 | Medical resource management system based on medical care table |
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