CN116504354B - Intelligent service recommendation method and system based on intelligent medical treatment - Google Patents
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Abstract
The invention relates to the technical field of intelligent medical treatment, and particularly discloses an intelligent service recommendation method and system based on intelligent medical treatment. The invention updates and acquires medical data by determining a plurality of data nodes and constructs a medical database; performing case condition analysis, and matching a plurality of related patients; performing periodic treatment monitoring tracking comparison, marking recommended patients and a plurality of other patients; analyzing and acquiring differential treatment information of a recommended patient relative to a plurality of other patients; medical service recommendations are made to a plurality of other patients based on the plurality of differential therapy information. The intelligent medical technology-based medical treatment system can construct a medical database, match a plurality of related patients with consistent related case conditions, perform periodic treatment monitoring tracking comparison, mark recommended patients and acquire differential treatment information, perform medical service recommendation of the differential treatment information, and perform periodic optimization medical service recommendation on a long-term and slow treatment process, so that the treatment service requirements of chronic diseases are effectively met.
Description
Technical Field
The invention belongs to the technical field of intelligent medical treatment, and particularly relates to an intelligent service recommendation method and system based on intelligent medical treatment.
Background
The intelligent medical treatment is composed of three parts, namely an intelligent hospital system, a regional health system and a family health system. The intelligent medical treatment utilizes the most advanced Internet of things technology to realize interaction among patients, medical staff, medical institutions and medical equipment by creating a health file area medical information platform, so that informatization of medical treatment is gradually achieved.
In the prior art, medical service is recommended, generally, doctors conduct corresponding examination, treatment and medicine recommendation according to the disease condition of patients, and for some sudden and quick recovery diseases, the doctor with abundant experience conducts service recommendation, and the patients can achieve the effect of instant effect, however, for some chronic diseases, the treatment of the patients is often a long-term and slow recovery process, simple and short-term medical service can not be directly recovered for the patients, different medical service adjustment is conducted for the patients in the treatment process, and the existing medical service recommendation can not meet the treatment service requirement of the chronic diseases.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent service recommendation method and system based on intelligent medical treatment, which aim to solve the problems in the background technology.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
an intelligent service recommendation method based on intelligent medical treatment, which specifically comprises the following steps:
determining a plurality of data nodes, updating and acquiring medical data, and constructing a medical database;
according to the medical database, case situation analysis is carried out, and a plurality of related patients with consistent related case situations are matched;
performing periodic treatment monitoring tracking comparison on a plurality of the related patients, and marking recommended patients and a plurality of other patients;
analyzing and acquiring differential treatment information of the recommended patient relative to a plurality of other patients;
and recommending medical services to a plurality of other patients according to the different treatment information.
As a further limitation of the technical solution of the embodiment of the present invention, the determining a plurality of data nodes, updating and obtaining medical data, and constructing a medical database specifically includes the following steps:
performing intelligent medical networking, and determining a plurality of data nodes;
periodically sending data updating instructions to a plurality of data nodes;
updating and acquiring medical data through a plurality of data nodes;
and classifying and sorting the medical data to construct a medical database.
As a further limitation of the technical solution of the embodiment of the present invention, the case situation analysis is performed according to the medical database, and the plurality of related patients matching the relevant case situation to be consistent specifically includes the following steps:
acquiring target case data, performing data processing, and extracting disease data and a plurality of related information;
according to the disease data, case screening is carried out, and a plurality of screened patients are determined;
and carrying out correlation matching according to the plurality of correlation information to determine a plurality of correlation patients.
As a further limitation of the technical solution of the embodiment of the present invention, the periodic treatment monitoring tracking comparison is performed on a plurality of related patients, and the labeling recommended patients and a plurality of other patients specifically includes the following steps:
determining a monitoring period according to the disease data;
according to the monitoring period, carrying out periodic treatment monitoring on a plurality of related patients to obtain monitoring record data;
performing recovery comparison on a plurality of related patients according to the monitoring record data to obtain recovery comparison results;
and marking a recommended patient and a plurality of other patients from a plurality of related patients according to the recovery comparison result.
As a further limitation of the technical solution of the embodiment of the present invention, the analyzing and obtaining the differential treatment information of the recommended patient with respect to the plurality of other patients specifically includes the following steps:
extracting recommended treatment data of the recommended patient according to the monitoring record data;
extracting other treatment data of a plurality of other patients according to the monitoring record data;
performing difference comparison on a plurality of other treatment data based on the recommended treatment data to generate a plurality of difference comparison results;
and recording a plurality of different treatment information according to a plurality of the difference comparison results.
As a further limitation of the technical solution of the embodiment of the present invention, the recommending medical services to a plurality of other patients according to a plurality of the differential treatment information specifically includes the following steps:
generating a plurality of service recommendation information according to a plurality of the difference therapy information;
acquiring service recommendation addresses of a plurality of other patients;
and recommending the medical service to a plurality of other patients according to the service recommendation addresses.
An intelligent service recommendation system based on intelligent medical treatment, the system specifically comprises a medical data acquisition unit, a case analysis matching unit, a monitoring tracking comparison unit, a differential treatment analysis unit and a medical service recommendation unit, wherein:
the medical data acquisition unit is used for determining a plurality of data nodes, updating and acquiring medical data and constructing a medical database;
the case analysis matching unit is used for carrying out case condition analysis according to the medical database and matching a plurality of related patients with consistent related case conditions;
a monitoring and tracking comparison unit for performing periodic treatment monitoring and tracking comparison on a plurality of related patients, and marking recommended patients and a plurality of other patients;
a differential therapy analysis unit configured to analyze and acquire differential therapy information of the recommended patient with respect to a plurality of the other patients;
and the medical service recommending unit is used for recommending medical services to a plurality of other patients according to the different treatment information.
As a further limitation of the technical solution of the embodiment of the present invention, the medical data acquisition unit specifically includes:
the node determining module is used for performing intelligent medical networking and determining a plurality of data nodes;
the instruction sending module is used for periodically sending data updating instructions to a plurality of data nodes;
the data updating module is used for updating and acquiring medical data through a plurality of data nodes;
and the construction processing module is used for classifying and sorting the medical data and constructing a medical database.
As a further limitation of the technical solution of the embodiment of the present invention, the case analysis matching unit specifically includes:
the data processing module is used for acquiring target case data, performing data processing and extracting disease data and a plurality of related information;
the case screening module is used for screening cases according to the disease data and determining a plurality of screened patients;
and the correlation matching module is used for carrying out correlation matching according to a plurality of pieces of correlation information and determining a plurality of correlation patients.
As a further limitation of the technical solution of the embodiment of the present invention, the monitoring tracking comparison unit specifically includes:
the period determining module is used for determining a monitoring period according to the disease data;
the treatment monitoring module is used for carrying out periodic treatment monitoring on a plurality of related patients according to the monitoring period to acquire monitoring record data;
the recovery comparison module is used for carrying out recovery comparison on a plurality of related patients according to the monitoring record data to obtain recovery comparison results;
and the patient marking module is used for marking a recommended patient and a plurality of other patients from a plurality of related patients according to the recovery comparison result.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent medical networking method, intelligent medical networking can be performed based on an intelligent medical technology, a plurality of data nodes are determined, medical data of a plurality of medical institutions of the intelligent medical networking are obtained through the plurality of data nodes, and then a medical database can be constructed, so that integration of the medical data is realized, and a data basis is provided for intelligent service recommendation of intelligent medical treatment;
2. the invention can match a plurality of related patients with consistent related case conditions, marks and recommends the patients and a plurality of other patients according to the treatment recovery conditions by carrying out periodical treatment monitoring and tracking comparison, acquires differential treatment information, carries out medical service recommendation, facilitates medical service adjustment among patients, realizes periodical optimized medical service recommendation for long-term and slow treatment processes, and effectively meets the treatment service requirements of chronic diseases.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Fig. 2 shows a flowchart of a medical data acquisition process in a method according to an embodiment of the present invention.
Fig. 3 shows a flowchart of case situation analysis matching in the method provided by the embodiment of the invention.
Fig. 4 shows a flow chart of a comparison of treatment monitoring and tracking in a method provided by an embodiment of the invention.
Fig. 5 shows a flowchart of a method for acquiring differential therapy information according to an embodiment of the present invention.
Fig. 6 shows a flowchart of medical service recommendation in the method provided by the embodiment of the invention.
Fig. 7 shows an application architecture diagram of a system provided by an embodiment of the present invention.
Fig. 8 is a block diagram showing the structure of a medical data acquisition unit in the system according to the embodiment of the present invention.
Fig. 9 shows a block diagram of the case analysis matching unit in the system according to the embodiment of the present invention.
Fig. 10 is a block diagram of a monitoring tracking contrast unit in the system according to the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It can be understood that in the prior art, medical service is usually recommended by a doctor according to the disease condition of a patient, which can bring immediate effect to some sudden and quick recovery diseases, however, for some chronic diseases, the treatment of the patient is often a long-term and slow recovery process, and simple and short-term medical service cannot be directly recovered to the patient, so that the patient needs to perform different medical service adjustment in the treatment process, and the existing medical service recommendation cannot meet the treatment service requirement of the chronic diseases.
In order to solve the problems, the embodiment of the invention updates and acquires medical data by determining a plurality of data nodes to construct a medical database; performing case condition analysis, and matching a plurality of related patients; performing periodic treatment monitoring tracking comparison, marking recommended patients and a plurality of other patients; analyzing and acquiring differential treatment information of a recommended patient relative to a plurality of other patients; medical service recommendations are made to a plurality of other patients based on the plurality of differential therapy information. The intelligent medical technology-based medical treatment system can construct a medical database, match a plurality of related patients with consistent related case conditions, perform periodic treatment monitoring tracking comparison, mark recommended patients and acquire differential treatment information, perform medical service recommendation of the differential treatment information, and perform periodic optimization medical service recommendation on a long-term and slow treatment process, so that the treatment service requirements of chronic diseases are effectively met.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Specifically, in a preferred embodiment provided by the present invention, an intelligent service recommendation method based on intelligent medical treatment, the method specifically includes the following steps:
step S100, a plurality of data nodes are determined, medical data are updated and acquired, and a medical database is constructed.
In the embodiment of the invention, based on an intelligent medical technology, intelligent medical networking is carried out on a plurality of medical institutions, data nodes are established in each medical institution, medical data of the corresponding medical institutions are collected through the data nodes, data update instructions are periodically sent to the plurality of data nodes, so that the plurality of data nodes can upload the collected medical data after receiving the data update instructions, the medical data can be updated and acquired through the plurality of data nodes, then according to different treatment patients, patient medical files are established, the medical data are classified and arranged, a medical database is constructed, the integration of the medical data is realized, and a data basis is provided for intelligent service recommendation of intelligent medical treatment.
It will be appreciated that the same patient may be in medical service for examination, treatment and drug delivery at different medical institutions, and therefore, the medical data of the patient at different medical institutions may be integrated by smart medical technology, a patient medical profile may be established, and the medical data may be classified and sorted according to the patient medical profiles of different patients, so as to construct a medical database.
Specifically, fig. 2 shows a flowchart of a medical data acquisition process in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the determining a plurality of data nodes, updating and obtaining medical data, and constructing a medical database specifically includes the following steps:
step S101, intelligent medical networking is conducted, and a plurality of data nodes are determined.
Step S102, periodically sending data updating instructions to a plurality of data nodes.
Step S103, updating and acquiring medical data through a plurality of data nodes.
And step S104, sorting and sorting the medical data to construct a medical database.
Further, the intelligent service recommendation method based on intelligent medical treatment further comprises the following steps:
step 200, according to the medical database, analyzing case conditions, and matching a plurality of related patients with consistent related case conditions.
In the embodiment of the invention, when a patient with a chronic disease has the requirement of service recommendation, a service recommendation application can be sent, the patient identity of the patient is acquired by receiving the service recommendation application, the target case data of the patient is acquired from a medical database according to the patient identity, then the disease data and a plurality of relevant information are extracted by carrying out content identification on the target case data, the patient screening with the same disease and the same disease degree is carried out in the medical database according to the disease data, a plurality of screened patients are marked, then the patient with the same age interval, health state and economic state as the patient is matched from the plurality of screened patients according to the plurality of relevant information, and a plurality of relevant patients are marked.
It will be appreciated that the disease data, including data for each item of disease type and disease test, is that the plurality of screened patients are patients of the same disease type and data for each item of disease test are in the same interval, and therefore, the plurality of screened patients are patients of the same disease and the same degree of illness.
It will be appreciated that a plurality of relevant information, including age information, health status information, economic status information, etc., may be selected for medical services of similar price between patients of the same age and same health status, with a higher treatment recovery comparability, and between patients of the same economic status.
Specifically, fig. 3 shows a flowchart of case situation analysis matching in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the case situation analysis is performed according to the medical database, and the matching of a plurality of related patients with consistent related case situations specifically includes the following steps:
step S201, acquiring target case data, performing data processing, and extracting disease data and a plurality of related information.
Step S202, according to the disease data, case screening is carried out, and a plurality of screened patients are determined.
Step S203, performing correlation matching according to a plurality of the related information to determine a plurality of related patients.
Further, the intelligent service recommendation method based on intelligent medical treatment further comprises the following steps:
step S300, performing periodic treatment monitoring tracking comparison on a plurality of the related patients, and marking recommended patients and a plurality of other patients.
In the embodiment of the invention, according to the corresponding disease type in the disease data, a monitoring period is determined, and then a plurality of relevant patients are periodically treated and monitored according to the monitoring period, based on a continuously updated medical database, monitoring record data corresponding to the plurality of relevant patients are obtained, and then according to the monitoring record data, the treatment recovery conditions of the plurality of relevant patients are analyzed and compared to obtain a recovery comparison result, and further according to the recovery comparison result, the patient with the best treatment recovery is selected from the plurality of relevant patients, and is marked as a recommended patient, and the rest relevant patients are marked as other patients.
It can be understood that, in the disease treatment process of the relevant patient, the data nodes corresponding to the medical institution continuously upload the data in the treatment process to the medical database, so that the monitoring record data of the relevant patients can be extracted from the medical database according to the patient identities of the relevant patients, and the health recovery trend of the relevant patients can be determined by analyzing the monitoring record data.
Specifically, fig. 4 shows a flowchart of a comparison of treatment monitoring and tracking in the method according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the periodic treatment monitoring tracking comparison is performed on a plurality of related patients, and the labeling recommended patients and a plurality of other patients specifically includes the following steps:
step S301, determining a monitoring period according to the disease data.
Step S302, according to the monitoring period, periodic treatment monitoring is carried out on a plurality of related patients, and monitoring record data are obtained.
And step S303, carrying out recovery comparison on a plurality of related patients according to the monitoring record data to obtain recovery comparison results.
Step S304, marking recommended patients and a plurality of other patients from a plurality of related patients according to the comparison result.
Further, the intelligent service recommendation method based on intelligent medical treatment further comprises the following steps:
step S400, analyzing and acquiring differential treatment information of the recommended patient relative to a plurality of other patients.
In the embodiment of the invention, the recommended treatment data of the recommended patient is extracted from the monitoring record data, other treatment data corresponding to a plurality of other patients are extracted, the difference comparison results corresponding to the plurality of other treatment data are generated by comparing the difference of the treatment service of the plurality of other treatment data with the recommended treatment data, and the difference treatment information corresponding to the plurality of other patients is recorded according to the plurality of difference comparison results.
Specifically, fig. 5 shows a flowchart of acquiring differential therapy information in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the analyzing and obtaining the differential treatment information of the recommended patient with respect to the plurality of other patients specifically includes the following steps:
step S401, extracting recommended treatment data of the recommended patient according to the monitoring record data.
Step S402, extracting other treatment data of a plurality of other patients according to the monitoring record data.
Step S403, performing difference comparison on a plurality of other therapeutic data based on the recommended therapeutic data, and generating a plurality of difference comparison results.
Step S404, according to a plurality of the difference comparison results, a plurality of difference treatment information is recorded.
Further, the intelligent service recommendation method based on intelligent medical treatment further comprises the following steps:
and S500, recommending medical services to a plurality of other patients according to a plurality of the difference treatment information.
In the embodiment of the invention, the plurality of different treatment information is arranged to generate a plurality of corresponding service recommendation information, the service recommendation addresses of a plurality of other patients are acquired based on the medical database, and then the corresponding service recommendation information is pushed to the plurality of other patients according to the service recommendation addresses, so that the plurality of other patients can conveniently carry out corresponding medical service adjustment according to the medical service of the recommended patients, and the periodic optimization medical service recommendation for a long-term and slow treatment process is realized.
It will be appreciated that the service recommendation information is generated and pushed periodically according to a monitoring period, and that the recommendation patient and the plurality of other patients may be varied in different monitoring periods.
Specifically, fig. 6 shows a flowchart of medical service recommendation performed in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the medical service recommendation to the plurality of other patients according to the plurality of different treatment information specifically includes the following steps:
step S501, generating a plurality of service recommendation information according to a plurality of the difference therapy information.
Step S502, obtaining service recommendation addresses of a plurality of the other patients.
Step S503, according to the plurality of service recommendation addresses, recommending the medical service to the plurality of other patients by using the plurality of service recommendation information.
Further, fig. 7 shows an application architecture diagram of the system provided by the embodiment of the present invention.
In another preferred embodiment of the present invention, an intelligent service recommendation system based on smart medical treatment includes:
the medical data acquisition unit 10 is used for determining a plurality of data nodes, updating and acquiring medical data and constructing a medical database.
In the embodiment of the present invention, the medical data acquisition unit 10 performs intelligent medical networking on a plurality of medical institutions based on an intelligent medical technology, establishes data nodes in each medical institution, collects medical data of the corresponding medical institution through the data nodes, periodically sends data update instructions to the plurality of data nodes, and uploads the acquired medical data after receiving the data update instructions, so that the medical data can be acquired through the plurality of data nodes, and then according to different treatment patients, establishes patient medical files, classifies and sorts the medical data, builds a medical database, realizes integration of the medical data, and provides a data basis for intelligent service recommendation of intelligent medical treatment.
Specifically, fig. 8 shows a block diagram of the medical data acquisition unit 10 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the medical data acquisition unit 10 specifically includes:
the node determining module 11 is used for performing intelligent medical networking and determining a plurality of data nodes.
The instruction sending module 12 is configured to send data update instructions to a plurality of the data nodes periodically.
A data updating module 13, configured to update and acquire medical data through a plurality of the data nodes.
And the construction processing module 14 is used for classifying and sorting the medical data and constructing a medical database.
Further, the intelligent service recommendation system based on intelligent medical treatment further comprises:
and a case analysis matching unit 20 for performing case analysis according to the medical database and matching a plurality of relevant patients with consistent relevant case conditions.
In the embodiment of the present invention, when a patient with a chronic disease has a requirement of service recommendation, a service recommendation application may be sent, and the case analysis matching unit 20 obtains a patient identity of the patient to be applied by receiving the service recommendation application, obtains target case data of the patient to be applied from the medical database according to the patient identity, performs content identification on the target case data, extracts disease data and a plurality of relevant information, performs patient screening with the same disease and the same disease degree in the medical database according to the disease data, marks a plurality of screened patients, and matches a patient with the same age interval, health state and economic state as the patient to be applied from the plurality of screened patients according to the plurality of relevant information, and marks a plurality of relevant patients.
Specifically, fig. 9 shows a block diagram of the case analysis matching unit 20 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the case analysis matching unit 20 specifically includes:
the data processing module 21 is configured to acquire target case data, perform data processing, and extract disease data and a plurality of relevant information.
The case screening module 22 is configured to perform case screening according to the disease data, and determine a plurality of screened patients.
And the correlation matching module 23 is used for performing correlation matching according to a plurality of pieces of correlation information to determine a plurality of correlation patients.
Further, the intelligent service recommendation system based on intelligent medical treatment further comprises:
a monitor and tracking contrast unit 30 for performing periodic treatment monitor and tracking contrast on a plurality of the related patients, and marking recommended patients and a plurality of other patients.
In the embodiment of the present invention, the monitoring tracking comparison unit 30 determines a monitoring period according to the disease type corresponding to the disease data, and then performs periodic treatment monitoring on a plurality of related patients according to the monitoring period, acquires monitoring record data corresponding to the plurality of related patients based on the continuously updated medical database, and then performs analysis and comparison on treatment recovery conditions of the plurality of related patients according to the monitoring record data to obtain a recovery comparison result, and further selects a patient with the best treatment recovery from the plurality of related patients according to the recovery comparison result, marks the patient as a recommended patient, and marks the rest of related patients as other patients.
Specifically, fig. 10 shows a block diagram of the monitoring tracking contrast unit 30 in the system according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the monitoring tracking contrast unit 30 specifically includes:
a period determining module 31 for determining a monitoring period according to the disease data.
The treatment monitoring module 32 is configured to perform periodic treatment monitoring on a plurality of relevant patients according to the monitoring period, and acquire monitoring record data.
And the recovery comparison module 33 is configured to perform recovery comparison on a plurality of relevant patients according to the monitoring record data, so as to obtain a recovery comparison result.
A patient tagging module 34 for tagging a recommended patient and a plurality of other patients from a plurality of the relevant patients according to the recovery comparison result.
Further, the intelligent service recommendation system based on intelligent medical treatment further comprises:
a differential therapy analysis unit 40 for analyzing and acquiring differential therapy information of the recommended patient with respect to a plurality of the other patients.
In the embodiment of the present invention, the differential therapy analysis unit 40 extracts recommended therapy data of a recommended patient from the monitoring record data, extracts other therapy data corresponding to a plurality of other patients, performs differential contrast of therapy services by the plurality of other therapy data and the recommended therapy data, generates differential contrast results corresponding to the plurality of other therapy data, and records differential therapy information corresponding to the plurality of other patients according to the plurality of differential contrast results.
The medical service recommending unit 50 is configured to recommend medical services to the plurality of other patients according to the plurality of different treatment information.
In the embodiment of the present invention, the medical service recommendation unit 50 sorts the multiple different treatment information, generates multiple corresponding service recommendation information, and obtains service recommendation addresses of multiple other patients based on the medical database, and further pushes the corresponding service recommendation information to the multiple other patients according to the service recommendation addresses, so that the multiple other patients can perform corresponding medical service adjustment according to the medical service of the recommended patient, and periodic optimization medical service recommendation for a long-term and slow treatment process is realized.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (7)
1. An intelligent service recommendation method based on intelligent medical treatment is characterized by comprising the following steps:
determining a plurality of data nodes, updating and acquiring medical data, and constructing a medical database;
according to the medical database, case situation analysis is carried out, and a plurality of related patients with consistent related case situations are matched;
performing periodic treatment monitoring tracking comparison on a plurality of the related patients, and marking recommended patients and a plurality of other patients;
according to the corresponding disease types in the disease data, determining a monitoring period, further performing periodic treatment monitoring on a plurality of related patients according to the monitoring period, acquiring monitoring record data corresponding to the plurality of related patients based on a continuously updated medical database, analyzing and comparing treatment recovery conditions of the plurality of related patients according to the monitoring record data to obtain recovery comparison results, further selecting a patient with the best treatment recovery from the plurality of related patients according to the recovery comparison results, marking the patient as a recommended patient, and marking the rest related patients as other patients;
analyzing and acquiring differential treatment information of the recommended patient relative to a plurality of other patients;
extracting recommended treatment data of a recommended patient from the monitoring record data, extracting other treatment data corresponding to a plurality of other patients respectively, generating difference comparison results corresponding to the plurality of other treatment data respectively by comparing the difference of treatment services of the plurality of other treatment data with the recommended treatment data respectively, and recording difference treatment information corresponding to the plurality of other patients according to the plurality of difference comparison results;
and recommending medical services to a plurality of other patients according to the different treatment information.
2. The intelligent service recommendation method based on intelligent medical treatment according to claim 1, wherein the steps of determining a plurality of data nodes, updating and acquiring medical data, and constructing a medical database specifically comprise the following steps:
performing intelligent medical networking, and determining a plurality of data nodes;
periodically sending data updating instructions to a plurality of data nodes;
updating and acquiring medical data through a plurality of data nodes;
and classifying and sorting the medical data to construct a medical database.
3. The intelligent service recommendation method based on intelligent medical treatment according to claim 1, wherein the case situation analysis is performed according to the medical database, and the matching of a plurality of related patients with consistent related case situations specifically comprises the following steps:
acquiring target case data, performing data processing, and extracting disease data and a plurality of related information;
according to the disease data, case screening is carried out, and a plurality of screened patients are determined;
and carrying out correlation matching according to the plurality of correlation information to determine a plurality of correlation patients.
4. The intelligent service recommendation method based on intelligent medical treatment according to claim 1, wherein the medical service recommendation to the plurality of other patients according to the plurality of different treatment information specifically comprises the following steps:
generating a plurality of service recommendation information according to a plurality of the difference therapy information;
acquiring service recommendation addresses of a plurality of other patients;
and recommending the medical service to a plurality of other patients according to the service recommendation addresses.
5. The intelligent service recommendation system based on intelligent medical treatment is characterized by comprising a medical data acquisition unit, a case analysis matching unit, a monitoring tracking comparison unit, a differential treatment analysis unit and a medical service recommendation unit, wherein:
the medical data acquisition unit is used for determining a plurality of data nodes, updating and acquiring medical data and constructing a medical database;
the case analysis matching unit is used for carrying out case condition analysis according to the medical database and matching a plurality of related patients with consistent related case conditions;
a monitoring and tracking comparison unit for performing periodic treatment monitoring and tracking comparison on a plurality of related patients, and marking recommended patients and a plurality of other patients;
the monitoring tracking comparison unit determines a monitoring period according to the corresponding disease type in the disease data, then periodically monitors a plurality of related patients according to the monitoring period, acquires monitoring record data corresponding to the plurality of related patients based on a continuously updated medical database, analyzes and compares the treatment recovery conditions of the plurality of related patients according to the monitoring record data to obtain a recovery comparison result, and further selects a patient with the best treatment recovery from the plurality of related patients according to the recovery comparison result, marks the patient as a recommended patient and marks the rest of related patients as other patients;
a differential therapy analysis unit configured to analyze and acquire differential therapy information of the recommended patient with respect to a plurality of the other patients;
the difference treatment analysis unit extracts recommended treatment data of a recommended patient from the monitoring record data, extracts other treatment data corresponding to a plurality of other patients respectively, generates difference comparison results corresponding to the plurality of other treatment data respectively by comparing the difference of treatment services of the plurality of other treatment data with the recommended treatment data respectively, and records difference treatment information corresponding to the plurality of other patients according to the plurality of difference comparison results;
and the medical service recommending unit is used for recommending medical services to a plurality of other patients according to the different treatment information.
6. The intelligent service recommendation system based on intelligent medical treatment according to claim 5, wherein the medical data acquisition unit specifically comprises:
the node determining module is used for performing intelligent medical networking and determining a plurality of data nodes;
the instruction sending module is used for periodically sending data updating instructions to a plurality of data nodes;
the data updating module is used for updating and acquiring medical data through a plurality of data nodes;
and the construction processing module is used for classifying and sorting the medical data and constructing a medical database.
7. The intelligent medical-based service recommendation system according to claim 5, wherein the case analysis matching unit specifically includes:
the data processing module is used for acquiring target case data, performing data processing and extracting disease data and a plurality of related information;
the case screening module is used for screening cases according to the disease data and determining a plurality of screened patients;
and the correlation matching module is used for carrying out correlation matching according to a plurality of pieces of correlation information and determining a plurality of correlation patients.
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