CN106127644A - A kind of expert suggestion system for tele-medicine - Google Patents
A kind of expert suggestion system for tele-medicine Download PDFInfo
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- CN106127644A CN106127644A CN201610458555.XA CN201610458555A CN106127644A CN 106127644 A CN106127644 A CN 106127644A CN 201610458555 A CN201610458555 A CN 201610458555A CN 106127644 A CN106127644 A CN 106127644A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention relates to a kind of expert suggestion system for tele-medicine, including terminal and cloud server, described terminal is for sending screening conditions to described to cloud server；Described cloud server is for storing the information of Medical Technologist, and from the Medical Technologist of storage, choose suitable Medical Technologist according to the screening conditions received, and the Medical Technologist utilizing ranking exponent pair to choose is ranked up, then the Medical Technologist after the display sequence of described first terminal.The invention enables basic unit doctor can search out each section expert at different levels easily, thus help patient to select oneself expert suitable according to the demand of self.
Description
Technical field
The present invention relates to technical field of long-distance medical, particularly relate to a kind of expert suggestion system for tele-medicine.
Background technology
Tele-medicine refer to by computer technology, remote sensing, remote measurement, telecontrol engineering for rely on, give full play to large hospital or
The medical skill of training medical centre and armarium advantage, on outlying district, island or the naval vessel poor to medical condition
The sick and wounded carry out telediagnosis, treat and seek advice from.It is intended to raising diagnosis and medical level, reduction medical expenses, meets extensively
One brand-new medical services of big people's health care demand.
At present, Tele medicine develops into utilize express network from initial TV monitoring, telephone remote diagnosis
Carry out the comprehensive transmission of numeral, image, voice, and achieve exchanging of real-time voice and HD image, cure for the modern times
The application learned provides broader development space.
But, current China rural distance medical treatment atmosphere is light, and even indivedual outlying district commune hospital medical workers are the most not
Very understanding, basic unit doctor worries that this service of promotion may increase medical tangle simultaneously, and patient is due to its non-professionality, therefore can
Worry the reliability of expert.Therefore a kind of expert suggestion system for tele-medicine is needed badly.
Summary of the invention
The technical problem to be solved is to provide a kind of expert suggestion system for tele-medicine, it is possible to for suffering from
Person recommends Medical Technologist automatically.
The technical solution adopted for the present invention to solve the technical problems is: provide a kind of expert for tele-medicine to recommend
System, including terminal and cloud server, described terminal is for sending screening conditions to described to cloud server；Described cloud
End server is for storing the information of Medical Technologist, and chooses properly from the Medical Technologist of storage according to the screening conditions received
Medical Technologist, and the Medical Technologist utilizing ranking exponent pair to choose is ranked up, then after the display sequence of described first terminal
Medical Technologist.
Described ranking index refers to according to hospital's index, expert's index, recent developments index, order index, Rate Index and distance
Number obtains, specially ranking index=(hospital's index+expert's index) * (recent developments index+order index)+Rate Index+distance
Index.
Described hospital index refers to the class index of expert place hospital, particularly may be divided into Pyatyi, wherein, and the finger of the first order
Number is 5, and the index of the second level is 10, and the index of the third level is 20, and the index of the fourth stage is 35, and the index of level V is 55.
Described expert's index refers to the class index of expert, particularly may be divided into Pyatyi, and wherein, the index of the first order is 5, the
The index of two grades is 10, and the index of the third level is 20, and the index of the fourth stage is 50, and the index of level V is 100.
Described recent developments index refers to the order situation that expert is nearest, particularly may be divided into Pyatyi, when the first order is nearest order
Between more than 30 days, its index is 0, the second level be nearest time of received orders between 16～30 days, its index is 5, and the third level is
Nearly time of received orders was at 6～15 days, and its index is 20, the fourth stage be nearest time of received orders at 2～5 days, its index is 50, level V
For nearest time of received orders within 1 day, its index is 100.
Described order index refers to the quantitative indicator of the total order of expert, particularly may be divided into Pyatyi, and the first order is quantity of received orders
Being 0, its index is 1, the second level be quantity of received orders between 1～10, its index is 5, and the third level is that quantity of received orders is 11～50
Between, its index is 20, the fourth stage be quantity of received orders between 51～200, its index is 50, and level V is that quantity of received orders exceedes
200, its index is 100.
Described Rate Index refers to that expert goes out the Rate Index of report, particularly may be divided into Pyatyi, and the first order is report
Speed was more than 5 days, and its index is 1, the second level be report speed at 1～5 day, its index is 5, the third level be report
Speed was at 12 hours～24 hours, and its index is 20, the fourth stage be report speed at 1 hour～12 hours, its index is
30, level V is that the speed report is less than 1 hour, and its index is 50.
Described range index refers to that the on-site distance of patient is left by expert place hospital, particularly may be divided into Pyatyi, first
Level for distance more than 1000 kilometers, its index is 1, the second level be distance at 500～1000 kilometers, its index is 5, and the third level is
Distance is at 200 kilometers～500 kilometers, and its index is 10, the fourth stage be distance at 50 kilometers～200 kilometers, its index is 15,
Pyatyi be distance less than 50 kilometers, its index is 20.
Described screening conditions are the specialty of expert.
Beneficial effect
Owing to have employed above-mentioned technical scheme, the present invention compared with prior art, has the following advantages that and actively imitates
Really: the present invention utilizes ranking exponent pair medical expert to be ranked up so that basic unit doctor can search out each section at different levels easily
Expert, thus help patient to select oneself expert suitable according to self demand.
Detailed description of the invention
Below in conjunction with specific embodiment, the present invention is expanded on further.Should be understood that these embodiments are merely to illustrate the present invention
Rather than restriction the scope of the present invention.In addition, it is to be understood that after having read the content that the present invention lectures, people in the art
The present invention can be made various changes or modifications by member, and these equivalent form of values fall within the application appended claims equally and limited
Scope.
Embodiments of the present invention relate to a kind of expert suggestion system for tele-medicine, including terminal and cloud service
Device, described terminal is for sending screening conditions to described to cloud server；Described cloud server is used for storing medical treatment specially
The information of family, and from the Medical Technologist of storage, choose suitable Medical Technologist according to the screening conditions received, and utilize ranking
The Medical Technologist that exponent pair is chosen is ranked up, then the Medical Technologist after the display sequence of described first terminal.Wherein, screening bar
Part can be the specialty of expert.It is to say, when the patient having a heart disease diagnoses at basic hospital, basic unit doctor can
Using at terminal input Cardiac Surgery as screening conditions, these screening conditions are sent to cloud server, cloud server receives sieve
After selecting condition, from the information of storage Medical Technologist, filter out the Medical Technologist of all of Cardiac Surgery, recycle ranking exponent pair
The Medical Technologist filtered out is ranked up, and ranking results is returned to terminal as recommendation results, can on the display screen of terminal
Sequentially to show the Medical Technologist after sequence.
Wherein, described ranking index according to hospital's index, expert's index, recent developments index, order index, Rate Index and away from
Dissociation index obtain, specially ranking index=(hospital's index+expert's index) * (recent developments index+order index)+Rate Index+
Range index.
As shown in table 1, described hospital index refers to the class index of expert place hospital, particularly may be divided into Pyatyi, wherein,
The index of the first order is 5, and the index of the second level is 10, and the index of the third level is 20, and the index of the fourth stage is the 35, the 5th
| Hospital Grade | Index |
| One-level | 5 |
| Two grades | 10 |
| Three grades | 20 |
| Level Four | 35 |
| Pyatyi | 55 |
The index of level is 55.
Table 1 hospital index ranking table
As shown in table 2, described expert's index refers to the class index of expert, particularly may be divided into Pyatyi, wherein, and the first order
Index is 5, and the index of the second level is 10, and the index of the third level is 20, and the index of the fourth stage is 50, and the index of level V is 100.
Table 2 expert's index ranking table
As shown in table 3, described recent developments index refers to the order situation that expert is nearest, particularly may be divided into Pyatyi, and the first order is
Recently time of received orders was more than 30 days, and its index is 0, the second level be nearest time of received orders between 16～30 days, its index is 5,
The third level be nearest time of received orders at 6～15 days, its index is 20, the fourth stage be nearest time of received orders at 2～5 days, its index
Be 50, level V be nearest time of received orders within 1 day, its index is 100.
| Recent developments grade | Order recent developments | Index |
| One-level | More than 30 days | 0 |
| Two grades | 16～30 days | 5 |
| Three grades | 6～15 days | 20 |
| Level Four | 2～5 days | 50 |
| Pyatyi | Within 1 day | 100 |
Table 3 recent developments index ranking table
As shown in table 4, described order index refers to the quantitative indicator of the total order of expert, particularly may be divided into Pyatyi, the first order
Being 0 for quantity of received orders, its index is 1, the second level be quantity of received orders between 1～10, its index is 5, and the third level is order number
Amount between 11～50, its index is 20, the fourth stage be quantity of received orders between 51～200, its index is 50, and level V is for connecing
Odd number amount is more than 200, and its index is 100.
| Order grade | Quantity of received orders | Index |
| One-level | 0 | 1 |
| Two grades | 1～10 | 5 |
| Three grades | 11～50 | 20 |
| Level Four | 51～200 | 50 |
| Pyatyi | More than 200 | 100 |
Table 4 order index ranking table
As shown in table 5, described Rate Index refers to that expert goes out the Rate Index of report, particularly may be divided into Pyatyi, the first order
For go out report speed more than 5 days, its index is 1, the second level be report speed at 1～5 day, its index is 5, the third level
For go out report speed at 12 hours～24 hours, its index is 20, the fourth stage be report speed little 1 hour～12
Time, its index is 30, and level V is that the speed report is less than 1 hour, and its index is 50.
| Speed class | Go out the speed of report | Index |
| One-level | More than 5 days | 1 |
| Two grades | 1～5 day | 5 |
| Three grades | 12～24 hours | 20 |
| Level Four | 1～12 hour | 30 |
| Pyatyi | Less than 1 hour | 50 |
Table 5 Rate Index table of grading
As shown in table 6, described range index refers to that the on-site distance of patient is left by expert place hospital, particularly may be divided into
Pyatyi, the first order be distance more than 1000 kilometers, its index is 1, the second level be distance at 500～1000 kilometers, its index is
5, the third level be distance at 200 kilometers～500 kilometers, its index is 10, the fourth stage be distance at 50 kilometers～200 kilometers, its
Index is 15, level V be distance less than 50 kilometers, its index is 20.
| Distance level scale | Distance | Index |
| One-level | More than 1000 kilometers | 1 |
| Two grades | 500～1000 kilometers | 5 |
| Three grades | 200～500 kilometers | 10 |
| Level Four | 50～200 kilometers | 15 |
| Pyatyi | Less than 50 kilometers | 20 |
Table 6 range index table of grading
It is seen that, the present invention utilizes ranking exponent pair medical expert to be ranked up so that basic unit doctor can be convenient
Search out each section expert at different levels, thus help patient to select oneself expert suitable according to the demand of self.
Claims (9)
1. for an expert suggestion system for tele-medicine, including terminal and cloud server, it is characterised in that described terminal
For screening conditions are sent to described to cloud server；Described cloud server is used for storing the information of Medical Technologist, and
From the Medical Technologist of storage, choose suitable Medical Technologist according to the screening conditions received, and utilize ranking exponent pair to choose
Medical Technologist is ranked up, then the Medical Technologist after the display sequence of described first terminal.
Expert suggestion system for tele-medicine the most according to claim 1, it is characterised in that described ranking index root
According to hospital's index, expert's index, recent developments index, order index, Rate Index and range index obtain, specially ranking index=
(hospital's index+expert's index) * (recent developments index+order index)+Rate Index+range index.
Expert suggestion system for tele-medicine the most according to claim 2, it is characterised in that described hospital index is
Referring to the class index of expert place hospital, particularly may be divided into Pyatyi, wherein, the index of the first order is 5, and the index of the second level is
10, the index of the third level is 20, and the index of the fourth stage is 35, and the index of level V is 55.
Expert suggestion system for tele-medicine the most according to claim 2, it is characterised in that described expert's index is
Referring to the class index of expert, particularly may be divided into Pyatyi, wherein, the index of the first order is 5, and the index of the second level is 10, the third level
Index be 20, the index of the fourth stage is 50, and the index of level V is 100.
Expert suggestion system for tele-medicine the most according to claim 2, it is characterised in that described recent developments index is
Refer to the nearest order situation of expert, particularly may be divided into Pyatyi, the first order be nearest time of received orders more than 30 days, its index is 0, the
Two grades be nearest time of received orders between 16～30 days, its index is 5, the third level be nearest time of received orders at 6～15 days, it refers to
Number is 20, the fourth stage be nearest time of received orders at 2～5 days, its index is 50, level V be nearest time of received orders within 1 day,
Its index is 100.
Expert suggestion system for tele-medicine the most according to claim 2, it is characterised in that described order index is
Refer to the total order of expert quantitative indicator, particularly may be divided into Pyatyi, the first order be quantity of received orders be 0, its index is 1, and the second level is
Quantity of received orders is between 1～10, and its index is 5, the third level be quantity of received orders between 11～50, its index is 20, the fourth stage
For quantity of received orders between 51～200, its index is 50, level V be quantity of received orders more than 200, its index is 100.
Expert suggestion system for tele-medicine the most according to claim 2, it is characterised in that described Rate Index is
Refer to expert go out report Rate Index, particularly may be divided into Pyatyi, the first order be report speed more than 5 days, its index is 1,
The second level be report speed at 1～5 day, its index is 5, the third level be report speed at 12 hours～24 hours,
Its index is 20, the fourth stage be report speed at 1 hour～12 hours, its index is 30, level V be report speed
Degree was less than 1 hour, and its index is 50.
Expert suggestion system for tele-medicine the most according to claim 2, it is characterised in that described range index is
Refer to expert place hospital leave the on-site distance of patient, particularly may be divided into Pyatyi, the first order be distance more than 1000 kilometers, its
Index is 1, the second level be distance at 500～1000 kilometers, its index is 5, the third level be distance at 200 kilometers～500 kilometers,
Its index is 10, the fourth stage be distance at 50 kilometers～200 kilometers, its index is 15, level V be distance less than 50 kilometers, its
Index is 20.
Expert suggestion system for tele-medicine the most according to claim 1, it is characterised in that described screening conditions are
The specialty of expert.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106779181A (en) * | 2016-11-29 | 2017-05-31 | 深圳北航新兴产业技术研究院 | Method is recommended by a kind of medical institutions based on linear regression factor Non-negative Matrix Factorization model |
| CN108460695A (en) * | 2018-03-28 | 2018-08-28 | 辛庆强 | A kind of agriculture and animal husbandry siphunculus reason systems and management method |
| CN108922608A (en) * | 2018-06-13 | 2018-11-30 | 平安医疗科技有限公司 | Intelligent hospital guide's method, apparatus, computer equipment and storage medium |
| CN108962359A (en) * | 2018-06-29 | 2018-12-07 | 北京百度网讯科技有限公司 | Medical treatment scheme determines method, device and equipment |
| CN110362745A (en) * | 2019-06-26 | 2019-10-22 | 深圳市轱辘汽车维修技术有限公司 | A kind of method, apparatus and server of long distance counseling solution |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106779181A (en) * | 2016-11-29 | 2017-05-31 | 深圳北航新兴产业技术研究院 | Method is recommended by a kind of medical institutions based on linear regression factor Non-negative Matrix Factorization model |
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| CN108460695A (en) * | 2018-03-28 | 2018-08-28 | 辛庆强 | A kind of agriculture and animal husbandry siphunculus reason systems and management method |
| CN108922608A (en) * | 2018-06-13 | 2018-11-30 | 平安医疗科技有限公司 | Intelligent hospital guide's method, apparatus, computer equipment and storage medium |
| CN108962359A (en) * | 2018-06-29 | 2018-12-07 | 北京百度网讯科技有限公司 | Medical treatment scheme determines method, device and equipment |
| CN110362745A (en) * | 2019-06-26 | 2019-10-22 | 深圳市轱辘汽车维修技术有限公司 | A kind of method, apparatus and server of long distance counseling solution |
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