CN109215767A - A kind of artificial intelligent type clinical research service system - Google Patents
A kind of artificial intelligent type clinical research service system Download PDFInfo
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- CN109215767A CN109215767A CN201810786636.1A CN201810786636A CN109215767A CN 109215767 A CN109215767 A CN 109215767A CN 201810786636 A CN201810786636 A CN 201810786636A CN 109215767 A CN109215767 A CN 109215767A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention discloses a kind of artificial intelligent type clinical research service system, including doctor's circle, patient's circle and Data Management Analysis circle, Data Management Analysis circle includes data storage group.Aggregation of data analyzes software and artificial intelligence deep learning engine, doctor's circle and patient's circle upload to relevant information in Data Management Analysis circle and classification storage by modes such as APP, wechat public platform, wechat small routines, aggregation of data analyzes the information that software encloses offer to doctor's circle and patient and carries out analysis comparison judgement and obtain clinical research recruitment of subjects, while obtaining the treatment information on services of doctor Yu patient's matched；The various ways such as signing visit are recruited on line and under line, it recruits high-efficient, at low cost, professional software is analyzed and processed to obtain accurately recruitment of subjects to data, recruitment effect is good, the period is short, greatly facilitate clinical research and the new drug listing of medicine enterprise, and rationally doctors and patients' unbalanced supply-demand is effectively solved the problems, such as using doctor's resource, dissolve the social concern of the difficulty of getting medical service.
Description
Technical field
It is the invention belongs to internet and artificial intelligence field, in particular to a kind of for quickly recruiting doctor and patient, having
Effect solves the artificial intelligent type clinical research service system that doctors and patients are uneven, serve clinical research.
Background technique
During carrying out clinical research, medicine enterprise new drug development, the medical practitioner recruited to matched and spy are required
Determine patient, in order to recruit doctor and patient, existing method mainly recruits the one-to-one visit of assistant director, is in addition aided with media and pushes away
Extensively, this mode can play certain recruitment effect, but there is also larger defects, recruit assistant director's visit doctors, transparency
It is low；Patient is strange to research center doctor, and degree of belief is low, and compliance may be poor, recruits low efficiency, and effect is undesirable, recruits
It is at high cost, the period is long, be unfavorable for the research and development listing of clinical research and medicine enterprise new drug, in addition, doctor and patient resource mismatch, benefit
Extremely prominent with the low problem of rate, the difficulty of getting medical service can not find the big obstacle that suitable hospital doctor has become national health, this
It is also urgently to be resolved.
Summary of the invention
Big difficulty is recruited to solve the above-mentioned prior art, low efficiency, period length, recruitment cost height, is unfavorable for clinical research
And medicine enterprise new drug lists, can not solve the problems such as doctors and patients' imbalance between supply and demand, the present invention adopts the following technical scheme:
The present invention provides a kind of artificial intelligent type clinical research service system, including doctor's circle, patient's circle and Data Management Analysis
Circle, doctor's circle include visiting to recruit under online registered doctor, specialized doctor group doctor, County Hospital signing doctor and line
Raise doctor, and patient's circle is patient group in the whole nation and worldwide, and the Data Management Analysis circle includes data storage
Group, aggregation of data analysis software and artificial intelligence deep learning engine, doctor's circle are small by APP, wechat public platform, wechat
The modes such as program information about doctor, interrogation of seeing and treating patients diagnosis picture etc. uploads in Data Management Analysis circle and classification storage, described
Patient information, medical picture etc. are uploaded to data processing by modes such as APP, wechat public platform, wechat small routines by patient's circle
In analysis is enclosed and classification storage, the information that the aggregation of data analysis software encloses doctor and patient's circle provides carry out analysis comparison
Clinical research recruitment of subjects required for judging and obtaining, while can also show that the treatment service of doctor and patient's matched is believed
Breath.
As improvement of the present invention, the specialization doctor group include physician group, endocrine doctor group,
Breathe doctor group, oncologist group, cardiovascular doctor group etc..
As a further refinement of the present invention, the data storage group includes MongoDB storage cluster, MySQL storage
Cluster and object storage cluster.
As a further refinement of the present invention, the artificial intelligence deep learning engine using Anaconda+
TensorFlow carrys out the entire frame of framework and whether intelligent recognition case meets project needs, and judges that doctor has in community
A possibility that eligible patient.
As a further refinement of the present invention, the function of the aggregation of data analysis software includes the warp of doctor and patient
Test model creation, data analysis engine imports, case information automation first trial and end results export.
The beneficial effects of the present invention are: the various ways such as signing visit under line are preferentially aided with by recruitment on line and are recruited,
Recruit high-efficient, at low cost, professional software is analyzed and processed to obtain accurately recruitment of subjects to data, and it is good, all to recruit effect
Phase is short, greatly facilitates clinical research and the new drug listing of medicine enterprise, and rationally effectively solve doctors and patients' supply and demand injustice using doctor's resource
Weighing apparatus problem dissolves the social concern of the difficulty of getting medical service.
Specific embodiment
The following detailed description of the preferred embodiment of the present invention.
A kind of artificial intelligent type clinical research service system, including doctor's circle, patient's circle and Data Management Analysis circle, it is described
Doctor's circle includes visiting to recruit doctor under online registered doctor, specialized doctor group doctor, County Hospital signing doctor and line,
Patient's circle is patient group in the whole nation and worldwide, and the Data Management Analysis circle includes data storage group, data
Comprehensive Analysis Software and artificial intelligence deep learning engine, doctor's circle pass through APP, wechat public platform, wechat small routine etc.
Information about doctor, interrogation of seeing and treating patients diagnosis picture etc. are uploaded in Data Management Analysis circle mode and classification storage, the patient enclose
Patient information, medical picture etc. are uploaded to Data Management Analysis circle by modes such as APP, wechat public platform, wechat small routines
Interior and classification storage, the aggregation of data analysis software encloses doctor and patient encloses the information provided and carries out analysis comparison judgement simultaneously
Clinical research recruitment of subjects required for obtaining, while can also obtain the treatment information on services of doctor Yu patient's matched.
Wherein, the specialized doctor group include physician group, endocrine doctor group, breathing doctor group,
Oncologist group, cardiovascular doctor group etc. will with the specialized doctor tissue of this depth of doctor group of department's subdivision
It provides for patient enrolment's project of professional domain into a group guarantee, many rural areas and patient from far-off regions can be carried out holding a consultation on line,
Consultation of doctors result feeds back to city's hospital distributing class at county level processing, the processing of city's county hospital not again it is counter be pushed to big city large hospital
It examines, effectively solves the problems, such as great illness the difficulty of getting medical service, effectively discongest large hospital patient's concentration problem.
Wherein, the data storage group includes MongoDB storage cluster, MySQL storage cluster and object storage cluster, is suffered from
The case that person or doctor submit is largely to be submitted in the form of picture, and add the case picture of doctor community, and data volume is non-
Chang great, from the background after receiving these case pictures, by the object storage cluster of image data distributed storage, MySQL is stored
Cluster mainly undertakes the storage of static non-image data, such as information, the information of disease and the systematic learning rule letter of user
Breath etc., MongoDB storage cluster mainly undertake storage of dynamic data, such as storage patient subjects, model training parameter etc..
In the present invention, it is entire that the artificial intelligence deep learning engine using Anaconda+TensorFlow carrys out framework
Simultaneously whether intelligent recognition case meets project needs to frame, and judges that doctor has a possibility that eligible patient in community.
In the present invention, the function of the aggregation of data analysis software includes doctor and the empirical model creation of patient, data
Analysis engine importing, case information automation first trial and end results output, end results output had both included accurately recruitment pair
As, while can precisely distribute corresponding doctor to some common diseases and service patient, patient can be reduced in this way finds hospital doctor
Time, quickly and effectively accurately treated, effectively discongest doctors and patients' supply and demand problem.
The beneficial effects of the present invention are: the various ways such as signing visit under line are preferentially aided with by recruitment on line and are recruited,
Recruit high-efficient, at low cost, professional software is analyzed and processed to obtain accurately recruitment of subjects to data, and it is good, all to recruit effect
Phase is short, greatly facilitates clinical research and the new drug listing of medicine enterprise, and rationally effectively solve doctors and patients' supply and demand injustice using doctor's resource
Weighing apparatus problem dissolves the social concern of the difficulty of getting medical service.
Above-described embodiment and non-limiting product form and style of the invention, the ordinary skill people of any technical field
The appropriate changes or modifications that member does it, all should be regarded as not departing from patent category of the invention.
Claims (5)
1. a kind of artificial intelligent type clinical research service system, it is characterised in that: including doctor's circle, patient's circle and data processing point
Analysis circle, doctor's circle include visiting under online registered doctor, specialized doctor group doctor, County Hospital signing doctor and line
Doctor is recruited, patient's circle is patient group in the whole nation and worldwide, and the Data Management Analysis circle includes that data are deposited
Chu Qun, aggregation of data analysis software and artificial intelligence deep learning engine, doctor's circle pass through APP, wechat public platform, wechat
The modes such as small routine information about doctor, interrogation of seeing and treating patients diagnosis picture etc. uploads in Data Management Analysis circle and classification storage, institute
It states patient's circle and patient information, medical picture etc. is uploaded at data by modes such as APP, wechat public platform, wechat small routines
In reason analysis is enclosed and classification storage, the information that the aggregation of data analysis software encloses doctor and patient's circle provides carry out analysis pair
Than clinical research recruitment of subjects required for judging and obtaining, while it can also obtain the treatment service of doctor Yu patient's matched
Information.
2. a kind of artificial intelligent type clinical research service system according to claim 1, it is characterised in that: the specialization
Doctor group includes physician group, endocrine doctor group, breathing doctor group, oncologist group, cardiovascular doctor
Group etc..
3. a kind of artificial intelligent type clinical research service system according to claim 1, it is characterised in that: the data are deposited
Chu Qun includes MongoDB storage cluster, MySQL storage cluster and object storage cluster.
4. a kind of artificial intelligent type clinical research service system according to claim 1, it is characterised in that: the artificial intelligence
Energy deep learning engine carrys out the entire frame of framework using Anaconda+TensorFlow and whether intelligent recognition case meets
Project needs, and judges that doctor has a possibility that eligible patient in community.
5. a kind of artificial intelligent type clinical research service system according to claim 1, it is characterised in that: the data are comprehensive
The function of closing analysis software includes doctor and the empirical model creation of patient, data analysis engine import, case information automates
First trial and end results output.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810786636.1A CN109215767A (en) | 2018-07-17 | 2018-07-17 | A kind of artificial intelligent type clinical research service system |
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| CN201810786636.1A CN109215767A (en) | 2018-07-17 | 2018-07-17 | A kind of artificial intelligent type clinical research service system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112389345A (en) * | 2019-08-13 | 2021-02-23 | 丰田自动车株式会社 | In-vehicle device, first information processing device, information processing system, and information processing method |
-
2018
- 2018-07-17 CN CN201810786636.1A patent/CN109215767A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112389345A (en) * | 2019-08-13 | 2021-02-23 | 丰田自动车株式会社 | In-vehicle device, first information processing device, information processing system, and information processing method |
| CN112389345B (en) * | 2019-08-13 | 2024-05-10 | 丰田自动车株式会社 | In-vehicle apparatus, first information processing apparatus, information processing system, and information processing method |
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Application publication date: 20190115 |