CN111370118A - Diagnosis and treatment safety analysis method and device for cross-medical institution and computer equipment - Google Patents
Diagnosis and treatment safety analysis method and device for cross-medical institution and computer equipment Download PDFInfo
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Abstract
The application relates to a diagnosis and treatment safety analysis method and device for cross-medical institutions, computer equipment and a storage medium. The method comprises the following steps: acquiring a diagnosis and treatment safety analysis request; acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution; analyzing the patient diagnosis and treatment image to obtain diagnosis and treatment image data of a patient to be analyzed; and carrying out diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed. By adopting the method, the patient hospital-crossing data can be effectively utilized, and medical resources are saved, so that the diagnosis and treatment efficiency is improved.
Description
Technical Field
The present application relates to the field of medical technology, and in particular, to a diagnosis and treatment safety analysis method and apparatus across medical institutions, a computer device, and a storage medium.
Background
In the medical treatment activities of hospitals, when medical staff provide corresponding treatment schemes for patients in the aspects of medication, inspection, examination, nursing and the like according to the illness states of the patients, the medical staff often need to refer to the own pathophysiological conditions of the patients, such as medicine allergy history, operation history, in-vivo implants or genotypes and the like, and carry out treatment safety assessment based on the pathophysiological conditions, so that medical accidents are avoided. Through the pathophysiology condition to different patients, medical staff adjusts the scheme of diagnosing that corresponds, can ensure to diagnose the safety of scheme effectively.
At present, medical staff generally inquire patients in medical activities, or a series of examination and examination analyses are set up to determine the diagnosis and treatment safety problems of the patients, for the pathophysiological conditions recorded by the patients in other hospitals, even for some long-term effective patient out-hospital data, the patient privacy problems, network transmission problems and other reasons cannot be effectively utilized, so that repeated examination and examination are caused, and the waste of medical resources is caused.
Disclosure of Invention
Therefore, it is necessary to provide a cross-medical-institution diagnosis and treatment safety analysis method, device, computer equipment and storage medium, which can effectively utilize cross-hospital data of patients, save medical resources and improve diagnosis and treatment efficiency.
A cross-medical facility diagnostic safety analysis method, the method comprising:
acquiring a diagnosis and treatment safety analysis request;
acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution;
analyzing the patient diagnosis and treatment image to obtain diagnosis and treatment image data of a patient to be analyzed;
and carrying out diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
In one embodiment, the obtaining of the diagnosis and treatment portrait of the patient corresponding to the patient to be analyzed according to the diagnosis and treatment security analysis request includes:
extracting a patient identifier of a patient to be analyzed from the diagnosis and treatment safety analysis request;
inquiring a patient main index, and determining a diagnosis and treatment portrait path associated with a patient identifier from the patient main index;
and obtaining a patient diagnosis and treatment image corresponding to the patient to be analyzed from the diagnosis and treatment image database according to the diagnosis and treatment image path.
In one embodiment, the diagnosis and treatment safety analysis method further includes:
acquiring clinical data corresponding to each patient from a medical system database recorded by each medical institution;
performing diagnosis and treatment portrait data extraction on the clinical data according to clinical decision knowledge in a clinical decision knowledge base to obtain diagnosis and treatment portrait data corresponding to each patient;
drawing a patient diagnosis and treatment image corresponding to each patient according to the diagnosis and treatment image data corresponding to each patient;
and synchronizing the diagnosis and treatment images of the patients corresponding to the patients into the diagnosis and treatment image database of the diagnosis and treatment nodes.
In one embodiment, the medical system database comprises at least one of an electronic medical record system database, a laboratory information management system database, and a medical image archiving and communication system database.
In one embodiment, the obtaining of the medical image of each patient according to the medical image data of each patient includes:
determining the time efficiency of the diagnosis and treatment image data corresponding to each patient;
determining the aging types corresponding to the diagnosis and treatment portrait data corresponding to each patient according to the aging and aging type division conditions;
and performing diagnosis and treatment portrait drawing according to the diagnosis and treatment portrait data corresponding to each aging type to obtain the patient diagnosis and treatment portrait corresponding to each patient.
In one embodiment, each diagnosis and treatment node is a node in a peer-to-peer network; the corresponding patient of each patient is diagnose and is makeed portrait synchronization to each diagnosis and treat the picture database of node and include:
the corresponding patient diagnosis and treatment portrait of each patient is sent to each diagnosis and treatment node through an encryption channel of the peer-to-peer network, so that each diagnosis and treatment node encrypts and stores the corresponding patient diagnosis and treatment portrait of each patient through a corresponding diagnosis and treatment portrait database.
In one embodiment, the diagnosis and treatment safety analysis method further comprises at least one of the following two items:
the first item, analyzing the diagnosis and treatment image of the patient to obtain the diagnosis and treatment image data of the patient to be analyzed includes:
carrying out data decryption on the patient diagnosis and treatment portrait to obtain diagnosis and treatment portrait data of a patient to be analyzed;
the second item, diagnose safe analysis based on diagnosing portrait data, it includes to obtain the safe analysis result of diagnosing that the patient that treats the analysis corresponds:
acquiring clinical safety analysis conditions, wherein the clinical safety analysis conditions are determined based on clinical decision knowledge in a clinical decision knowledge base;
and carrying out diagnosis and treatment safety analysis on the diagnosis and treatment portrait data according to the clinical safety analysis conditions to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
A cross-medical facility diagnostic and treatment safety analysis device, the device comprising:
the analysis request acquisition module is used for acquiring a diagnosis and treatment safety analysis request;
the patient portrait acquisition module is used for acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution;
the image data acquisition module is used for analyzing the diagnosis and treatment image of the patient to obtain diagnosis and treatment image data of the patient to be analyzed;
and the diagnosis and treatment safety analysis module is used for performing diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a diagnosis and treatment safety analysis request;
acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution;
analyzing the patient diagnosis and treatment image to obtain diagnosis and treatment image data of a patient to be analyzed;
and carrying out diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a diagnosis and treatment safety analysis request;
acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution;
analyzing the patient diagnosis and treatment image to obtain diagnosis and treatment image data of a patient to be analyzed;
and carrying out diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
According to the diagnosis and treatment safety analysis method and device, the computer equipment and the storage medium of the cross-medical institution, the patient diagnosis and treatment portrait corresponding to the patient to be analyzed is obtained according to the diagnosis and treatment safety analysis request, the patient diagnosis and treatment portrait is drawn according to the diagnosis and treatment portrait data extracted from the clinical data of the patient to be analyzed recorded by each medical institution, diagnosis and treatment safety analysis is carried out on the basis of the diagnosis and treatment portrait data obtained by analyzing the patient diagnosis and treatment portrait, and a diagnosis and treatment safety analysis result is obtained. In the diagnosis and treatment safety analysis process, diagnosis and treatment safety analysis is carried out based on diagnosis and treatment portrait data obtained by analyzing the diagnosis and treatment portrait of the patient corresponding to the patient to be analyzed, data recorded by the patient in each medical institution is effectively utilized, diagnosis and treatment safety analysis through inquiring the patient or carrying out a series of time-consuming examination operations can be avoided, medical resources are saved, and the treatment efficiency in the diagnosis and treatment process is improved.
Drawings
Fig. 1 is an application environment diagram of a cross-medical institution clinical safety analysis method in one embodiment;
FIG. 2 is a schematic flow chart illustrating a cross-medical facility clinical safety analysis method according to an embodiment;
FIG. 3 is a schematic flow chart illustrating the construction of a medical image database according to an embodiment;
fig. 4 is a schematic flow chart illustrating a cross-medical-facility clinical safety analysis method according to another embodiment;
FIG. 5 is a schematic flow chart illustrating a cross-healthcare facility clinical safety analysis method according to an embodiment;
fig. 6 is a block diagram showing a clinical safety analyzer for a cross-medical institution in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The diagnosis and treatment safety analysis method across medical institutions provided by the application can be applied to the application environment shown in fig. 1. The terminal 102 communicates with the server 104 through a network, the server 104 may be a medical system server, different medical institutions may correspondingly set corresponding medical system servers, and different medical system servers may communicate with each other. The terminal 102 sends a diagnosis and treatment safety analysis request to the server 104, the server 014 obtains a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the received diagnosis and treatment safety analysis request, the patient diagnosis and treatment portrait is drawn according to diagnosis and treatment portrait data extracted from clinical data of the patient to be analyzed recorded by each medical institution, diagnosis and treatment portrait data obtained by analyzing the patient diagnosis and treatment portrait are subjected to diagnosis and treatment safety analysis to obtain a diagnosis and treatment safety analysis result, and finally the server 104 can feed back the diagnosis and treatment safety analysis result to the terminal 102 to assist medical staff in diagnosis and treatment. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a cross-medical-institution diagnosis and treatment safety analysis method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
The diagnosis and treatment safety analysis request is sent to the server by the terminal and is used for requesting diagnosis and treatment safety analysis of a patient. Specifically, the diagnosis and treatment safety analysis request may be sent to the server by the medical staff through the terminal during the medical activity, for example, the medical staff may log in a medical institution, such as a diagnosis and treatment safety analysis system in a hospital medical system, through the terminal, and send the diagnosis and treatment safety analysis request to the medical system server in the diagnosis and treatment safety analysis system. The diagnosis and treatment safety analysis request can carry identification information of the patient, so that the patient needing diagnosis and treatment safety analysis processing is determined according to the identification information.
The patient to be analyzed is a patient needing diagnosis and treatment safety analysis, the patient diagnosis and treatment portrait is a portrait constructed corresponding to the diagnosis and treatment safety analysis for the patient, and the patient diagnosis and treatment portrait can be specifically drawn according to diagnosis and treatment portrait data extracted from clinical data of the patient to be analyzed recorded by each medical institution. The clinical data can include medical history and operation history of the patient, and multi-dimensional clinical diagnosis and treatment data such as diagnosis data, medical advice data, examination and examination reports, nursing body temperature sheets, nursing scoring tables, monitoring data and medical record documents prescribed by prior medical staff, and the clinical data of the patient can be obtained according to a medical system database. The medical image data is data used for drawing a medical image of a patient in clinical data, and may include, but is not limited to, genetic information, allergens, body temperature data, and the like.
After receiving the diagnosis and treatment safety analysis request, the server determines a patient to be analyzed who needs to be subjected to diagnosis and treatment safety analysis according to the diagnosis and treatment safety analysis request, and acquires a patient diagnosis and treatment portrait corresponding to the patient to be analyzed, wherein the patient diagnosis and treatment portrait describes diagnosis and treatment safety requirements of the patient to be analyzed, for example, diagnosis and treatment safety data such as drug allergy history, operation history, in-vivo implant or genotype can be included, and diagnosis and treatment safety analysis can be performed on the basis of the patient diagnosis and treatment portrait, so that medical staff can perform drug administration, examination, diagnosis and treatment or nursing specifically in medical activities performed on the patient to be analyzed, and medical safety is ensured.
After the patient diagnosis and treatment portrait is obtained, the patient diagnosis and treatment portrait is analyzed so as to obtain diagnosis and treatment portrait data of a patient to be analyzed. Specifically, if the patient medical image is encrypted, the patient medical image can be decrypted, and medical image data of the patient to be analyzed can be extracted from the decrypted patient medical image.
And 208, performing diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
Diagnosis and treatment safety analysis is carried out on the basis of the obtained diagnosis and treatment portrait data of the patient to be analyzed, if diagnosis and treatment safety analysis can be carried out on the diagnosis and treatment portrait data according to preset clinical safety analysis conditions, and diagnosis and treatment safety analysis results corresponding to the patient to be analyzed are obtained. Wherein, the clinical safety analysis condition can be set according to the medical safety standard and principle in the medical activity, for example, the allergen medicament is not available. The diagnosis and treatment safety analysis result can comprise the safety requirements of the patient to be analyzed in the diagnosis and treatment process, such as medication safety, inspection safety, operation safety and the like. The diagnosis and treatment safety analysis result can be fed back to the terminal by the server, and medical staff at the terminal can refer to the diagnosis and treatment safety analysis result corresponding to the patient to be analyzed to make a safe diagnosis and treatment scheme suitable for the patient to be analyzed, so that when the same patient is hospitalized in different medical institutions, diagnosis and treatment portrait data of the patient are shared, and safe and effective diagnosis and treatment can be carried out.
According to the diagnosis and treatment safety analysis method of the cross-medical institution, the patient diagnosis and treatment portrait corresponding to the patient to be analyzed is obtained according to the diagnosis and treatment safety analysis request, the patient diagnosis and treatment portrait is drawn according to the diagnosis and treatment portrait data extracted from the clinical data of the patient to be analyzed recorded by each medical institution, diagnosis and treatment safety analysis is carried out on the basis of the diagnosis and treatment portrait data obtained by analyzing the patient diagnosis and treatment portrait, and a diagnosis and treatment safety analysis result is obtained. In the diagnosis and treatment safety analysis process, diagnosis and treatment portrait data obtained based on the patient diagnosis and treatment portrait corresponding to the patient to be analyzed are analyzed to perform diagnosis and treatment safety analysis, data recorded by the patient in each medical institution are effectively utilized, diagnosis and treatment safety analysis can be avoided by inquiring the patient or performing a series of time-consuming examination operations, medical resources are saved, diagnosis and treatment can be performed based on the obtained diagnosis and treatment safety analysis results, and diagnosis and treatment efficiency can be improved.
In one embodiment, the obtaining of the medical image of the patient corresponding to the patient to be analyzed according to the medical safety analysis request includes: extracting a patient identifier of a patient to be analyzed from the diagnosis and treatment safety analysis request; inquiring a patient main index, and determining a diagnosis and treatment portrait path associated with a patient identifier from the patient main index; and obtaining a patient diagnosis and treatment image corresponding to the patient to be analyzed from the diagnosis and treatment image database according to the diagnosis and treatment image path.
In this embodiment, a corresponding patient main index is queried according to a patient identifier carried in a diagnosis and treatment security analysis request, a diagnosis and treatment portrait path is determined from the patient main index, and a patient diagnosis and treatment portrait corresponding to a patient to be analyzed is obtained based on the diagnosis and treatment portrait path.
Specifically, the medical safety analysis request carries a patient identifier of a patient needing medical safety analysis, where the patient identifier is identification information for distinguishing each patient, and specifically includes, but is not limited to, an ID (identity) of the patient, such as a patient name, a telephone number, a patient identification number, or a patient medical number. After receiving the diagnosis and treatment safety analysis request, the server extracts the patient identifier of the patient to be analyzed from the diagnosis and treatment safety analysis request, for example, the patient identifier of the patient to be analyzed can be extracted from the identifier field corresponding to the diagnosis and treatment safety analysis request.
The method comprises the steps of inquiring a pre-constructed Patient primary Index (EMPI), wherein the Patient primary Index is a Patient basic information retrieval directory, and the method is mainly used for effectively associating a plurality of medical information systems together through unique Patient identification in a complex medical system so as to realize interconnection and intercommunication among the systems and ensure the integrity and accuracy of personal information acquisition of the same Patient distributed in different systems. The establishment of the patient main index is a necessary condition for realizing the integration of internal systems of large hospitals, the resource sharing in hospital groups and the regional medical sharing by establishing resident health files. The outpatient service, the hospitalization, the physical examination and each department system can use unified patient basic data through the patient main index, and the consistency of data is ensured, so that the diagnosis and treatment safety and the diagnosis and treatment efficiency are ensured. During specific implementation, the patient main index can establish index information according to the identity card number in the patient identification, so that the corresponding diagnosis and treatment portrait path can be inquired from the patient main index through the identity card number of the patient. The diagnosis and treatment portrait path is a storage path of a patient diagnosis and treatment portrait of a patient to be analyzed, and the patient diagnosis and treatment portrait corresponding to the patient to be analyzed can be obtained by inquiring from corresponding storage according to the diagnosis and treatment portrait path.
Further, the patient master index can be respectively established by each hospital, so that the corresponding hospital-wide patient master index of each hospital is obtained, and the patient diagnosis and treatment images of each patient are managed. After the patient main index is searched, a diagnosis and treatment portrait path associated with the patient identifier is determined from the patient main index, and specifically, the diagnosis and treatment portrait path associated with the patient identifier can be obtained by querying in the patient main index according to the patient identifier.
After a diagnosis and treatment portrait path of a patient diagnosis and treatment portrait corresponding to the patient to be analyzed is determined, the patient diagnosis and treatment portrait corresponding to the patient to be analyzed is obtained from a preset diagnosis and treatment portrait database according to the diagnosis and treatment portrait path. The diagnosis and treatment image database is used for storing diagnosis and treatment images of patients corresponding to the patients. The servers of the medical systems of all the hospitals can form a peer-to-peer network, so that decentralized data sharing is realized, and the diagnosis and treatment images of the patients corresponding to the patients are shared and stored in the diagnosis and treatment image database of all the hospitals. Further, the medical image database may encrypt and store the medical images of the patients corresponding to the patients, for example, encrypt and store the medical images through a symmetric encryption algorithm, so as to further ensure data security.
In an embodiment, as shown in fig. 3, the medical safety analysis further includes a process of constructing a medical image database, which specifically includes:
In this embodiment, the medical image data is extracted from the clinical data of each patient, the patient medical image corresponding to each patient is drawn based on the medical image data, and the patient medical image of each patient is synchronized to the medical image database of each medical node for storage. In a specific implementation, a medical system database corresponding to each medical institution, for example, a hospital, may be constructed by a clinical data center server, or may be constructed by a server of a medical system of each hospital. The clinical data may include all diagnosis and treatment information and historical data of the patient before entering the hospital, such as diagnosis, medicine, examination, operation, treatment, physical sign, document and other dictionaries, patient outpatient service information, patient hospitalization information, medical advice information, prescription information, examination application form, examination report form, physical sign information, nursing document and other data.
The Medical System database is a database related to clinical data in the Medical System, and may specifically include, but is not limited to, an Electronic Medical Record (EMR) database, a Laboratory Information Management System (LIS) database, a Medical image archiving and communication systems (PACS) database, and the like. The medical system database records various clinical data of the patient during the medical activity, such as diagnosis data, medical order data, inspection reports, examination reports, etc. of the patient recorded in the EMR database. Clinical data corresponding to each patient may be obtained from a medical system database. In specific implementation, clinical data collection management can be performed on medical system databases corresponding to hospitals through the clinical data center server, the medical system databases corresponding to the hospitals can be monitored through the clinical data center server, and when clinical data of patients are updated, the collected clinical data are updated correspondingly, so that reliability of the data is ensured.
And 304, extracting diagnosis and treatment portrait data of the clinical data according to the clinical decision knowledge in the clinical decision knowledge base to obtain diagnosis and treatment portrait data corresponding to each patient.
The clinical decision knowledge base is a database which is constructed in advance according to disease types, comprises corresponding clinical decision knowledge aiming at various disease types, and can comprise the existing clinical paths of different diseases and corresponding diagnosis and treatment data constructed based on diagnosis and treatment rules. The clinical pathway is a method for establishing a set of standardized treatment mode and treatment program aiming at a certain disease, is a comprehensive mode related to clinical treatment, and promotes treatment organization and disease management by taking evidence-based medical evidence and guidelines as guidance. For example, clinical decision knowledge that a patient needs to make examination items and order medicines 3 days before admission, some examination items do not need to be made, some examination items need to be made, some medicines need to be newly opened, and used medicines need to be stopped when the patient has a certain special disease state can be stored in a clinical decision knowledge base.
Specifically, after obtaining clinical data corresponding to each patient, obtaining clinical decision knowledge from a preset clinical decision knowledge base, and performing diagnosis and treatment portrait data extraction on the clinical data corresponding to each patient according to the obtained clinical decision knowledge, so as to extract diagnosis and treatment portrait data corresponding to each patient from the clinical data corresponding to each patient, where the diagnosis and treatment portrait data is a portrait element for drawing a diagnosis and treatment portrait of the patient, and specifically includes, but is not limited to, a drug allergy history, an operation history, a medication history, a history of special diseases, blood pressure, body temperature, heart rate, and the like.
And step 306, drawing the diagnosis and treatment portrait of each patient according to the diagnosis and treatment portrait data corresponding to each patient.
After medical image data corresponding to each patient is extracted and obtained, the medical image data is drawn as an image element to obtain a medical image of the patient corresponding to each patient. Specifically, the medical image of the patient can be obtained by rendering according to the type of the medical image data, such as the aging type of each medical image data.
And 308, synchronizing the diagnosis and treatment images of the patients corresponding to the patients to the diagnosis and treatment image database of the diagnosis and treatment nodes.
And after the patient diagnosis and treatment images corresponding to the patients are obtained through drawing, synchronizing the patient diagnosis and treatment images corresponding to the patients to a diagnosis and treatment image database of each diagnosis and treatment node for storage. The diagnosis and treatment nodes can be servers of medical systems of various medical institutions, diagnosis and treatment images of patients corresponding to the patients are synchronized to the diagnosis and treatment nodes, the corresponding diagnosis and treatment images of the patients can be shared by the hospitals, and therefore it is ensured that the hospitals can analyze the diagnosis and treatment images based on comprehensive diagnosis and treatment images when the patients are subjected to diagnosis and treatment safety analysis, data recorded by the patients in the medical institutions are effectively utilized, diagnosis and treatment safety analysis by inquiring the patients or performing a series of time-consuming examination operations is avoided, medical resources are saved, treatment efficiency of the diagnosis and treatment safety analysis is improved, and efficiency of subsequent diagnosis and treatment based on obtained diagnosis and treatment safety analysis results is improved.
In the embodiment, diagnosis and treatment portrait data is extracted from clinical data of each patient, diagnosis and treatment portrait corresponding to each patient is drawn based on the diagnosis and treatment portrait data, and diagnosis and treatment portrait of each patient is stored in a diagnosis and treatment portrait database of each diagnosis and treatment node synchronously, so that each hospital can share diagnosis and treatment portrait corresponding to each patient, and therefore, when diagnosis and treatment safety analysis is performed on the patient, each hospital can analyze the diagnosis and treatment portrait based on comprehensive diagnosis and treatment portrait of the patient, data recorded by the patient in each medical institution is effectively utilized, diagnosis and treatment safety analysis by inquiring the patient or performing a series of time-consuming examination operations is avoided, medical resources are saved, treatment efficiency of the diagnosis and treatment safety analysis is improved, and efficiency of subsequent diagnosis and treatment based on obtained diagnosis and treatment safety analysis results is improved.
In one embodiment, the medical system database comprises at least one of an electronic medical record system database, a laboratory information management system database, and a medical image archiving and communication system database.
In this embodiment, the medical system database may include, but is not limited to, at least one of an electronic medical record system database, a laboratory information management system database, and a medical image archiving and communication system database, so that the clinical data of the patient can be obtained from various ways to ensure the integrity of the clinical data.
The electronic medical record system is computerized and is digital medical record stored, managed, transmitted and reproduced in electronic equipment, such as computer, health card, etc. to replace hand written paper medical record. The medical record is the original record of the whole process of diagnosis and treatment of a patient in a hospital and comprises a first page, a disease course record, an examination and examination result, a medical advice, an operation record, a nursing record and the like. Electronic Medical Records (EMRs) refer not only to static medical record information, but also to the related services provided. Is electronically managed information about the health status and healthcare behavior of an individual throughout life, all process information related to the collection, storage, transmission, processing and utilization of patient information. The electronic medical record has the characteristics of initiative, completeness and correctness, knowledge association, timely acquisition and the like, and is a digital medical service working record for clinic diagnosis and treatment and guided intervention of outpatients and inpatients (or health-care objects) by medical institutions.
The laboratory information management system database stores various clinical data of the laboratory information management system, the laboratory information management system is a set of information management system specially designed for hospital clinical laboratory, and can form a network by using laboratory instruments and computers, so that intelligent, automatic and standardized management of complicated operation processes such as patient sample login, laboratory data access, report auditing, printing distribution, statistical analysis of laboratory data and the like is realized, the whole management level of a laboratory is improved, leaks are reduced, and the inspection quality is improved.
The medical image archiving and communication system database is used for storing various clinical data of the medical image archiving and communication system, and the medical image archiving and communication system is a comprehensive system for comprehensively solving the problems of acquisition, display, storage, transmission and management of medical images.
In one embodiment, the obtaining of the medical image of each patient according to the medical image data of each patient includes: determining the time efficiency of the diagnosis and treatment image data corresponding to each patient; determining the aging types corresponding to the diagnosis and treatment portrait data corresponding to each patient according to the aging and aging type division conditions; and performing diagnosis and treatment portrait drawing according to the diagnosis and treatment portrait data corresponding to each aging type to obtain the patient diagnosis and treatment portrait corresponding to each patient.
In this embodiment, medical images are rendered from medical image data of various age types, and a medical image of a patient corresponding to each patient is obtained. Specifically, when the diagnosis and treatment image of the patient is drawn, the aging of the diagnosis and treatment image data corresponding to each patient is determined, the aging is the effective duration of the diagnosis and treatment image data, different diagnosis and treatment image data have different aging, for example, allergen data and gene data are generally permanent aging, and the physiological data with short-term change speed, such as body temperature data, blood pressure data and heart rate data, have shorter time, such as several hours or several minutes. After the aging of the diagnosis and treatment portrait data is determined, the aging type of each diagnosis and treatment portrait data is divided according to preset aging type dividing conditions, and accordingly the aging type corresponding to the diagnosis and treatment portrait data corresponding to each patient is determined. The aging type classification condition may be a condition for performing type classification according to the length of aging, such as long-term effective diagnosis and treatment portrait data, which is long in time efficiency and can be classified into a long-term aging type, and short-term aging type for diagnosis and treatment portrait data with short aging.
In one embodiment, the medical image data is divided into cold data, warm data and hot data according to the time efficiency from long to short. Wherein, the cold data has the longest aging, such as clinical data which can be effective for life, and specifically, the cold data can include but is not limited to allergens, surgical history, antibodies, genes, and the like; the thermal data has the shortest aging, is fast in change and needs to be monitored in real time, and specifically, the thermal data can include but is not limited to blood pressure, heart rate, body temperature and the like; the aging of the temperature data is intermediate between that of the cold data and that of the hot data, which typically requires periodic monitoring, as may include, but is not limited to including, visual reporting.
After the diagnosis and treatment portrait data are divided and the corresponding aging types are determined, the diagnosis and treatment portrait is drawn according to the diagnosis and treatment portrait data corresponding to each aging type, and the diagnosis and treatment portrait of the patient corresponding to each patient is obtained. Specifically, diagnosis and treatment portrait data corresponding to the same effective type can be combined, so that a patient diagnosis and treatment portrait is constructed. For example, the cold data, the temperature data and the heat data are combined according to the aging types respectively to construct the patient diagnosis and treatment portrait, and various diagnosis and treatment portrait data in different aging types can be inquired and obtained according to the patient diagnosis and treatment portrait.
In one embodiment, each of the diagnosis and treatment nodes is a node in a peer-to-peer network; the corresponding patient of each patient is diagnose and is makeed portrait synchronization to each diagnosis and treat the picture database of node and include: the corresponding patient diagnosis and treatment portrait of each patient is sent to each diagnosis and treatment node through an encryption channel of the peer-to-peer network, so that each diagnosis and treatment node encrypts and stores the corresponding patient diagnosis and treatment portrait of each patient through a corresponding diagnosis and treatment portrait database.
In this embodiment, each diagnosis and treatment node is a node in a Peer-to-Peer network, where the Peer-to-Peer network (Peer to Peer, P2P) is a distributed application architecture that distributes tasks and workloads among peers (peers), and is a networking or network form formed by Peer-to-Peer computing models in an application layer. Participants of a peer-to-peer network share a portion of the hardware resources (processing power, storage power, network connectivity, printers, etc.) they own, which provide services and content over the network and which can be accessed directly by other peer nodes without going through intermediate entities. Participants in this network are both providers and acquirers of resources, services and content. In a P2P network environment, multiple computers connected to each other are in a peer-to-peer relationship, each computer has the same functionality, without a master-slave relationship, and a computer can serve as both a server, setting shared resources for use by other computers in the network, and a workstation, and the overall network generally does not rely on a dedicated centralized server, nor does it have a dedicated workstation. The characteristic of peer-to-peer network decentralization can realize data sharing among all diagnosis and treatment nodes, so that all diagnosis and treatment nodes can obtain corresponding patient diagnosis and treatment images of all patients, diagnosis and treatment safety analysis is performed based on complete and reliable patient diagnosis and treatment images, diagnosis and treatment safety analysis can be avoided by inquiring the patients or performing a series of time-consuming examination operations, the diagnosis and treatment safety analysis process is simplified, and the treatment efficiency of diagnosis and treatment safety analysis is improved.
Specifically, when the patient diagnosis and treatment images corresponding to the patients are synchronized to the diagnosis and treatment image database of each diagnosis and treatment node, the patient diagnosis and treatment images corresponding to the patients are sent to each diagnosis and treatment node based on an encryption channel of the peer-to-peer network, for example, the encryption channel may be established in the peer-to-peer network based on a DH (Diffie-Hellman) key interaction algorithm, and the patient diagnosis and treatment images corresponding to the patients are sent to each diagnosis and treatment node through the encryption channel. After each diagnosis and treatment node receives the diagnosis and treatment portrait of each patient, the corresponding diagnosis and treatment portrait of each patient is encrypted and stored through the corresponding diagnosis and treatment portrait database, and specifically, the diagnosis and treatment portrait of each patient can be encrypted and stored through a symmetric encryption algorithm, such as a DES symmetric encryption (DES symmetric encryption) algorithm. Where DES uses a 56-bit key with an additional 8-bit parity bit, yielding a maximum packet size of 64 bits. This is an iterative block cipher using a technique known as Feistel in which the encrypted text block is divided in half. Applying a round function to one half of the sub-keys, and then performing exclusive-or operation on the output and the other half; the two halves are then swapped and the process continues, but the last cycle is not swapped. DES uses 16 cycles, with XOR, permutation, substitution, and shift operations, four basic operations.
In addition, each diagnosis and treatment node can monitor the clinical data of the patient, and when the clinical data of the patient is found to be updated, the updated clinical data is synchronously shared, so that the clinical data of the patient is updated in time, and the effective reliability of the corresponding patient diagnosis and treatment portrait of the patient is ensured. In an application, when the patient diagnoses portrait includes hot data, temperature data and cold data, the temperature data and the cold data that update are carried out synchronous sharing to other diagnosis and treatment nodes when diagnosing that the node monitors the temperature data and the cold data of the patient and taking place to update, specifically can diagnose the node and send the temperature data and the cold data that update to clinical data center server and carry out clinical data update by diagnosing, diagnose the portrait to the patient of patient and carry out corresponding renewal back synchronization to each node of diagnosing, thereby realize diagnosing the timely update of diagnosing the corresponding patient of patient, ensure that the patient diagnoses the reliability of portrait.
In the embodiment, the corresponding patient diagnosis and treatment portrait of each patient is synchronized to each diagnosis and treatment node through the encryption channel of the peer-to-peer network, and each node is used for encryption storage, so that the corresponding patient diagnosis and treatment portrait of each patient can be protected by double encryption, the data security is improved, and the privacy of each patient can be effectively guaranteed.
In one embodiment, parsing a medical image of a patient to obtain medical image data of the patient to be analyzed includes: and decrypting the diagnosis and treatment portrait of the patient to obtain the diagnosis and treatment portrait data of the patient to be analyzed.
In this embodiment, each medical node encrypts and stores the patient medical image, and after the patient medical image is obtained, decryption is required, so that the required patient medical image is extracted from the patient medical image. Specifically, after a patient medical image is obtained, the patient medical image is decrypted in a manner corresponding to the encryption manner, and then the patient medical image is extracted from the patient medical image.
In one embodiment, performing diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data, and obtaining a diagnosis and treatment safety analysis result corresponding to a patient to be analyzed includes: acquiring clinical safety analysis conditions, wherein the clinical safety analysis conditions are determined based on clinical decision knowledge in a clinical decision knowledge base; and carrying out diagnosis and treatment safety analysis on the diagnosis and treatment portrait data according to the clinical safety analysis conditions to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
In this embodiment, diagnosis and treatment safety analysis is performed on the diagnosis and treatment portrait data according to preset clinical safety analysis conditions, so as to obtain a diagnosis and treatment safety analysis result corresponding to a patient to be analyzed. Wherein the clinical safety analysis conditions are determined based on clinical decision knowledge in a clinical decision knowledge base, such as the range of non-available drugs, the range of available drugs, the non-availability of surgery, and the like. Specifically, after medical image data of a patient to be analyzed is obtained, clinical safety analysis conditions are set according to medical safety regulations and principles in medical activities. Diagnosis and treatment safety analysis is carried out on the diagnosis and treatment portrait data according to the clinical safety analysis conditions, if the diagnosis and treatment portrait data and the clinical safety analysis conditions are compared one by one, diagnosis and treatment safety analysis results corresponding to the patient to be analyzed are obtained, and the diagnosis and treatment safety analysis results comprise safety requirements of the patient to be analyzed in the diagnosis and treatment process, such as medication safety, inspection safety, operation safety and the like. The diagnosis and treatment safety analysis result can be fed back to the terminal by the server, and medical staff at the terminal can refer to the diagnosis and treatment safety analysis result corresponding to the patient to be analyzed to make a safe diagnosis and treatment scheme suitable for the patient to be analyzed, so that safe and effective diagnosis and treatment can be performed.
In addition, when diagnosis and treatment safety analysis is carried out on the diagnosis and treatment portrait data according to clinical safety analysis conditions, authorization information of a patient to be analyzed can be further detected, and when the authorization information of the patient to be analyzed is confirmed to be detected, it is indicated that the patient to be analyzed authorizes the server to use the diagnosis and treatment portrait data to carry out diagnosis and treatment safety analysis, and corresponding diagnosis and treatment safety analysis processing is carried out. The authorization information may include, but is not limited to, signature information, statement information, authorization instructions, etc. of the patient to be analyzed.
In one embodiment, as shown in fig. 4, there is provided a cross-medical institution diagnosis and treatment safety analysis method, including:
and 426, performing diagnosis and treatment safety analysis on the diagnosis and treatment portrait data according to the clinical safety analysis conditions to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
In this embodiment, the clinical data center server extracts the medical image data from the clinical data of each patient, draws a medical image of each patient corresponding to each patient based on the medical image data, and synchronizes the medical image of each patient to the medical image database of each medical node serving as a peer network node through an encryption channel of the peer network for encryption storage. When a diagnosis and treatment node, namely a server of a hospital medical system receives a diagnosis and treatment safety analysis request sent by a terminal and aiming at a patient to perform diagnosis and treatment safety analysis, a corresponding patient main index is inquired according to a patient identifier carried in the diagnosis and treatment safety analysis request, a diagnosis and treatment portrait path is determined from the patient main index, a patient diagnosis and treatment portrait corresponding to the patient to be analyzed is obtained based on the diagnosis and treatment portrait path, data decryption is performed on the patient diagnosis and treatment portrait, diagnosis and treatment safety analysis is performed on diagnosis and treatment portrait data obtained through decryption according to preset clinical safety analysis conditions, a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed is obtained, and the diagnosis and treatment safety analysis result is fed back to the terminal to assist medical staff in diagnosis and treatment.
In the diagnosis and treatment safety analysis process, diagnosis and treatment safety analysis is performed based on diagnosis and treatment portrait data obtained by analyzing the diagnosis and treatment portrait of the patient corresponding to the patient to be analyzed, data recorded by the patient in each medical institution is effectively utilized, diagnosis and treatment safety analysis can be avoided by inquiring the patient or performing a series of time-consuming examination operations, medical resources are saved, the treatment efficiency of diagnosis and treatment safety analysis is improved, and the subsequent efficiency of diagnosis and treatment based on the obtained diagnosis and treatment safety analysis result can be improved. Meanwhile, the data is transmitted and encrypted for storage through the encryption channel, and the data security is further ensured through double encryption.
As shown in fig. 5, the schematic diagram of another implementation of the diagnosis and treatment security analysis method process is shown, specifically, in this embodiment, three hospital institutions including a hospital a, a hospital B, and a hospital B are included, each hospital medical system corresponds to one server, and each server is a diagnosis and treatment node in a peer-to-peer network. On one hand, the clinical data center server acquires clinical data from the EMR database, the LIS database and the PACS database, diagnosis and treatment portrait drawing is carried out according to the acquired clinical data and a preset clinical decision knowledge base, and the patient diagnosis and treatment portrait of each patient is obtained and comprises cold data, temperature data and hot data, the timeliness of the cold data is longest, and the timeliness of the hot data is shortest. The patient medical images of each patient are sent to the medical nodes of hospital A, hospital B and hospital B in the peer-to-peer network. The diagnosis and treatment portrait of each patient can be sent to at least one diagnosis and treatment node in the peer-to-peer network, so that data synchronization is carried out among the diagnosis and treatment nodes based on a P2P encryption channel; the medical images of the patients can be directly synchronized to the medical nodes through the P2P encrypted channel. The server of each hospital, which is each diagnosis node in the peer-to-peer network, can locally encrypt and store the obtained patient diagnosis and treatment portrait of each patient. On the other hand, when the server of the hospital C receives the diagnosis and treatment safety analysis request, the server of the hospital C obtains the patient diagnosis and treatment image of the patient to be analyzed according to the patient diagnosis and treatment image of the patient to be analyzed, analyzes the patient diagnosis and treatment image to obtain patient diagnosis and treatment data, and performs diagnosis and treatment safety analysis by combining with the clinical decision knowledge base to obtain a diagnosis and treatment safety analysis result of the patient to be analyzed.
In the embodiment, diagnosis and treatment portrait data obtained based on analysis of diagnosis and treatment portrait of a patient corresponding to a patient to be analyzed effectively utilizes patient cross-hospital data, can avoid diagnosis and treatment safety analysis by inquiring the patient or performing a series of time-consuming examination operations, saves medical resources, improves treatment efficiency of diagnosis and treatment safety analysis, and improves subsequent treatment efficiency based on obtained diagnosis and treatment safety analysis results. Meanwhile, the data is transmitted and encrypted for storage through the encryption channel, and the data security is further ensured through double encryption.
It should be understood that although the various steps in the flow charts of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 6, there is provided a cross-medical facility clinical safety analysis apparatus comprising: an analysis request acquisition module 602, a patient representation acquisition module 604, a representation data acquisition module 606, and a diagnosis and treatment security analysis module 608, wherein:
an analysis request obtaining module 602, configured to obtain a diagnosis and treatment security analysis request;
a patient image obtaining module 604, configured to obtain a patient diagnosis and treatment image corresponding to a patient to be analyzed according to the diagnosis and treatment security analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution;
the image data acquisition module 606 is used for analyzing the diagnosis and treatment image of the patient to obtain diagnosis and treatment image data of the patient to be analyzed;
the diagnosis and treatment safety analysis module 608 is configured to perform diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
In one embodiment, patient representation acquisition module 604 includes a patient identification extraction module, a representation path determination module, and a representation acquisition module; wherein: the patient identification extraction module is used for extracting the patient identification of the patient to be analyzed from the diagnosis and treatment safety analysis request; the portrait path determining module is used for inquiring the patient main index and determining a diagnosis and treatment portrait path related to the patient identifier from the patient main index; and the image acquisition module is used for acquiring the patient diagnosis and treatment image corresponding to the patient to be analyzed from the diagnosis and treatment image database according to the diagnosis and treatment image path.
In one embodiment, the system further comprises a clinical data acquisition module, a portrait data extraction module, a portrait drawing module and a portrait synchronization module; wherein: the clinical data acquisition module is used for acquiring clinical data corresponding to each patient from a medical system database corresponding to each medical institution; the portrait data extraction module is used for extracting diagnosis and treatment portrait data from the clinical decision knowledge in the clinical decision knowledge base to obtain diagnosis and treatment portrait data corresponding to each patient; the image drawing module is used for drawing the diagnosis and treatment image data corresponding to each patient to obtain the diagnosis and treatment image of each patient; and the image synchronization module is used for synchronizing the diagnosis and treatment images of the patients corresponding to the patients into the diagnosis and treatment image database of the diagnosis and treatment nodes.
In one embodiment, the medical system database comprises at least one of an electronic medical record system database, a laboratory information management system database, and a medical image archiving and communication system database.
In one embodiment, the sketch rendering module includes an age determination module, a type determination module, and a rendering module; wherein: the aging determining module is used for determining the aging of the diagnosis and treatment portrait data corresponding to each patient; the type determining module is used for determining the aging types corresponding to the diagnosis and treatment portrait data corresponding to the patients according to the aging and the aging type dividing conditions; and the drawing module is used for drawing the diagnosis and treatment portrait according to the diagnosis and treatment portrait data corresponding to each aging type to obtain the diagnosis and treatment portrait of the patient corresponding to each patient.
In one embodiment, each of the diagnosis and treatment nodes is a node in a peer-to-peer network; the image synchronization module is also used for sending the diagnosis and treatment images of the patients corresponding to the patients to the diagnosis and treatment nodes through an encryption channel of the peer-to-peer network, so that the diagnosis and treatment nodes encrypt and store the diagnosis and treatment images of the patients corresponding to the patients through the corresponding diagnosis and treatment image database.
In one embodiment, the image data obtaining module 606 is further configured to decrypt the medical image data of the patient to obtain the medical image data of the patient to be analyzed.
In one embodiment, the medical safety analysis module 608 further includes a safety analysis condition module and a safety analysis module; wherein: the safety analysis condition module is used for acquiring clinical safety analysis conditions, and the clinical safety analysis conditions are determined based on clinical decision knowledge in a clinical decision knowledge base; and the safety analysis module is used for carrying out diagnosis and treatment safety analysis on the diagnosis and treatment portrait data according to the clinical safety analysis conditions to obtain diagnosis and treatment safety analysis results corresponding to the patient to be analyzed.
For specific limitations of the diagnosis and treatment safety analysis device, reference may be made to the above limitations of the diagnosis and treatment safety analysis method, which are not described herein again. All or part of each module in the diagnosis and treatment safety analysis device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing the patient diagnosis and treatment portrait data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a diagnosis and treatment safety analysis method.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a diagnosis and treatment safety analysis request;
acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution;
analyzing the patient diagnosis and treatment image to obtain diagnosis and treatment image data of a patient to be analyzed;
and carrying out diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
In one embodiment, the processor, when executing the computer program, further performs the steps of: extracting a patient identifier of a patient to be analyzed from the diagnosis and treatment safety analysis request; inquiring a patient main index, and determining a diagnosis and treatment portrait path associated with a patient identifier from the patient main index; and obtaining a patient diagnosis and treatment image corresponding to the patient to be analyzed from the diagnosis and treatment image database according to the diagnosis and treatment image path.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring clinical data corresponding to each patient from a medical system database corresponding to each medical institution; performing diagnosis and treatment portrait data extraction on the clinical data according to clinical decision knowledge in a clinical decision knowledge base to obtain diagnosis and treatment portrait data corresponding to each patient; drawing a patient diagnosis and treatment image corresponding to each patient according to the diagnosis and treatment image data corresponding to each patient; and synchronizing the diagnosis and treatment images of the patients corresponding to the patients into the diagnosis and treatment image database of the diagnosis and treatment nodes.
In one embodiment, the medical system database comprises at least one of an electronic medical record system database, a laboratory information management system database, and a medical image archiving and communication system database.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining the time efficiency of the diagnosis and treatment image data corresponding to each patient; determining the aging types corresponding to the diagnosis and treatment portrait data corresponding to each patient according to the aging and aging type division conditions; and performing diagnosis and treatment portrait drawing according to the diagnosis and treatment portrait data corresponding to each aging type to obtain the patient diagnosis and treatment portrait corresponding to each patient.
In one embodiment, each of the diagnosis and treatment nodes is a node in a peer-to-peer network; the processor, when executing the computer program, further performs the steps of: the corresponding patient diagnosis and treatment portrait of each patient is sent to each diagnosis and treatment node through an encryption channel of the peer-to-peer network, so that each diagnosis and treatment node encrypts and stores the corresponding patient diagnosis and treatment portrait of each patient through a corresponding diagnosis and treatment portrait database.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and decrypting the diagnosis and treatment portrait of the patient to obtain the diagnosis and treatment portrait data of the patient to be analyzed.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring clinical safety analysis conditions, wherein the clinical safety analysis conditions are determined based on clinical decision knowledge in a clinical decision knowledge base; and carrying out diagnosis and treatment safety analysis on the diagnosis and treatment portrait data according to the clinical safety analysis conditions to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a diagnosis and treatment safety analysis request;
acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of a patient to be analyzed recorded by each medical institution;
analyzing the patient diagnosis and treatment image to obtain diagnosis and treatment image data of a patient to be analyzed;
and carrying out diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting a patient identifier of a patient to be analyzed from the diagnosis and treatment safety analysis request; inquiring a patient main index, and determining a diagnosis and treatment portrait path associated with a patient identifier from the patient main index; and obtaining a patient diagnosis and treatment image corresponding to the patient to be analyzed from the diagnosis and treatment image database according to the diagnosis and treatment image path.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring clinical data corresponding to each patient from a medical system database corresponding to each medical institution; performing diagnosis and treatment portrait data extraction on the clinical data according to clinical decision knowledge in a clinical decision knowledge base to obtain diagnosis and treatment portrait data corresponding to each patient; drawing a patient diagnosis and treatment image corresponding to each patient according to the diagnosis and treatment image data corresponding to each patient; and synchronizing the diagnosis and treatment images of the patients corresponding to the patients into the diagnosis and treatment image database of the diagnosis and treatment nodes.
In one embodiment, the medical system database comprises at least one of an electronic medical record system database, a laboratory information management system database, and a medical image archiving and communication system database.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the time efficiency of the diagnosis and treatment image data corresponding to each patient; determining the aging types corresponding to the diagnosis and treatment portrait data corresponding to each patient according to the aging and aging type division conditions; and performing diagnosis and treatment portrait drawing according to the diagnosis and treatment portrait data corresponding to each aging type to obtain the patient diagnosis and treatment portrait corresponding to each patient.
In one embodiment, each of the diagnosis and treatment nodes is a node in a peer-to-peer network; the computer program when executed by the processor further realizes the steps of: the corresponding patient diagnosis and treatment portrait of each patient is sent to each diagnosis and treatment node through an encryption channel of the peer-to-peer network, so that each diagnosis and treatment node encrypts and stores the corresponding patient diagnosis and treatment portrait of each patient through a corresponding diagnosis and treatment portrait database.
In one embodiment, the computer program when executed by the processor further performs the steps of: and decrypting the diagnosis and treatment portrait of the patient to obtain the diagnosis and treatment portrait data of the patient to be analyzed.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring clinical safety analysis conditions, wherein the clinical safety analysis conditions are determined based on clinical decision knowledge in a clinical decision knowledge base; and carrying out diagnosis and treatment safety analysis on the diagnosis and treatment portrait data according to the clinical safety analysis conditions to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A cross-medical institution clinical safety analysis method, the method comprising:
acquiring a diagnosis and treatment safety analysis request;
acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of the patient to be analyzed recorded by each medical institution;
analyzing the patient diagnosis and treatment portrait to obtain diagnosis and treatment portrait data of the patient to be analyzed;
and carrying out diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
2. The method according to claim 1, wherein the obtaining of the patient medical image corresponding to the patient to be analyzed according to the medical safety analysis request comprises:
extracting a patient identifier of a patient to be analyzed from the diagnosis and treatment safety analysis request;
inquiring a patient main index, and determining a diagnosis and treatment portrait path associated with the patient identification from the patient main index;
and obtaining the patient diagnosis and treatment picture corresponding to the patient to be analyzed from a diagnosis and treatment picture database according to the diagnosis and treatment picture path.
3. The method of claim 2, further comprising:
acquiring clinical data corresponding to each patient from a medical system database corresponding to each medical institution;
performing diagnosis and treatment portrait data extraction on the clinical data according to clinical decision knowledge in a clinical decision knowledge base to obtain diagnosis and treatment portrait data corresponding to each patient;
drawing a patient diagnosis and treatment image corresponding to each patient according to the diagnosis and treatment image data corresponding to each patient;
and synchronizing the diagnosis and treatment images of the patients corresponding to the patients into the diagnosis and treatment image database of the diagnosis and treatment nodes.
4. The method of claim 3, wherein the medical system database comprises at least one of an electronic medical record system database, a laboratory information management system database, and a medical image archiving and communication system database.
5. The method of claim 3, wherein said rendering a patient medical image corresponding to each patient from patient medical image data corresponding to each patient comprises:
determining the time efficiency of the diagnosis and treatment image data corresponding to each patient;
determining the aging types corresponding to the diagnosis and treatment portrait data corresponding to the patients according to the aging and aging type division conditions;
and performing diagnosis and treatment portrait drawing according to the diagnosis and treatment portrait data corresponding to each aging type to obtain the patient diagnosis and treatment portrait corresponding to each patient.
6. The method of claim 3, wherein each of the clinical nodes is a node in a peer-to-peer network; the diagnosis and treatment image database for synchronizing the diagnosis and treatment images of the patients corresponding to the patients to the diagnosis and treatment nodes comprises:
and sending the patient diagnosis and treatment portrait corresponding to each patient to each diagnosis and treatment node through an encryption channel of the peer-to-peer network, so that each diagnosis and treatment node encrypts and stores the patient diagnosis and treatment portrait corresponding to each patient through a corresponding diagnosis and treatment portrait database.
7. The method of any one of claims 1 to 6, further comprising at least one of:
the first item, the analyzing the medical image of the patient to obtain the medical image data of the patient to be analyzed includes:
carrying out data decryption on the patient diagnosis and treatment portrait to obtain diagnosis and treatment portrait data of the patient to be analyzed;
the second item, diagnosis and treatment safety analysis is carried out based on the diagnosis and treatment portrait data, and obtaining the diagnosis and treatment safety analysis result corresponding to the patient to be analyzed comprises:
acquiring clinical safety analysis conditions, wherein the clinical safety analysis conditions are determined based on clinical decision knowledge in a clinical decision knowledge base;
and carrying out diagnosis and treatment safety analysis on the diagnosis and treatment portrait data according to the clinical safety analysis conditions to obtain diagnosis and treatment safety analysis results corresponding to the patient to be analyzed.
8. A cross-medical facility diagnostic and treatment safety analysis device, the device comprising:
the analysis request acquisition module is used for acquiring a diagnosis and treatment safety analysis request;
the patient portrait acquisition module is used for acquiring a patient diagnosis and treatment portrait corresponding to a patient to be analyzed according to the diagnosis and treatment safety analysis request; the patient medical image is drawn according to medical image data extracted from clinical data of the patient to be analyzed recorded by each medical institution;
the image data acquisition module is used for analyzing the patient diagnosis and treatment image to obtain diagnosis and treatment image data of the patient to be analyzed;
and the diagnosis and treatment safety analysis module is used for performing diagnosis and treatment safety analysis based on the diagnosis and treatment portrait data to obtain a diagnosis and treatment safety analysis result corresponding to the patient to be analyzed.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Cited By (3)
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| CN111768828A (en) * | 2020-09-03 | 2020-10-13 | 成都索贝数码科技股份有限公司 | Patient sign portrait construction system and method based on data inside and outside hospital |
| CN114464286A (en) * | 2022-02-25 | 2022-05-10 | 广州循证医药科技有限公司 | Visualized case data importing and reporting system and method based on man-machine interaction |
| CN116825326A (en) * | 2023-05-25 | 2023-09-29 | 郑州大学 | Disease analysis method and system based on multi-source heterogeneous data |
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| CN111768828A (en) * | 2020-09-03 | 2020-10-13 | 成都索贝数码科技股份有限公司 | Patient sign portrait construction system and method based on data inside and outside hospital |
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| CN116825326B (en) * | 2023-05-25 | 2023-12-12 | 郑州大学 | Disease analysis method and system based on multi-source heterogeneous data |
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