CN102999878A - Medical intelligent system - Google Patents
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- CN102999878A CN102999878A CN2012104949435A CN201210494943A CN102999878A CN 102999878 A CN102999878 A CN 102999878A CN 2012104949435 A CN2012104949435 A CN 2012104949435A CN 201210494943 A CN201210494943 A CN 201210494943A CN 102999878 A CN102999878 A CN 102999878A
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Abstract
The invention discloses a medical intelligent system and belongs to the technical field of medical treatment. The medical intelligent system comprises a terminal, a medical management system, a collector, a server, a data warehouse and a personal computer (PC). The terminal is connected with the medical management system through a data line, the medical management system is connected with the collector through the data line, the collector is connected with the server through the data line, and the server is connected with the PC through the data line and connected with the data warehouse through Internet. The medical intelligent system is simple in structure, clever in design and capable of being applied to hospitals of different scales, can conduct processing on patients seeing a doctor, can achieve mutual communication of information of various departments or various hospitals, gives uniform and standard management and service to the patients, is high in automation, flexible in operation and short in clinic time, and improves working efficiency.
Description
Technical field
The invention discloses a kind of medical intelligence system, belong to field of medical technology.
Background technology
At present, patient sees a doctor general or traditional Diagnosis-treat Model to hospital, and doctor and patient link up face-to-face, and treatment level varies with each individual, and automatization level is not enough, and medical efficient is low.Because the development of advancing by leaps and bounds of computer technology, image processing techniques and network technology, interchanger, medical insurance card, hospital's Intranet, Internet of Things etc. have become a kind of possibility by internet being connected network, and unmanned or a small amount of doctor's intervention is carried out robotization diagnosis and treatment patient and seen a doctor the development model that will be following hospital.
Summary of the invention
Problem for above-mentioned prior art exists the invention provides a kind of medical intelligence system, can effectively solve treatment level and vary with each individual, and automatization level is not enough, improves hospital's diagnosis and treatment efficient.
In order to achieve the above object, the invention provides following technical scheme: this medical robotization system of going to a doctor, comprise terminating machine, medical management system, collector, server, data warehouse and PC, terminating machine is connected with medical management system by data line, medical management system is connected with collector by data line, collector is connected with server by data line, and server is connected with PC by data line, is connected with data warehouse by Internt.
Further, medical management system comprises automatically enforcement module, HC module, the Automatic-settlement module of leaving hospital and the module of automatically getting it filled of identification system, automatic registration and go-on-go module, medical robotization module, automatic gauging module, image self-verifying module, image automatic diagnosis module, state of an illness automatic diagnosis module, operation; Above-mentioned each module is connected with collector with terminating machine respectively.
Further, identification module comprises medical card, and medical card comprises patient's identity information.
Further, automatic registration and go-on-go module comprise that automatic registration and fee unit, patient's state of an illness information selects the medical section of input block, automatic sorting chamber unit automatically; Automatic registration selects input block to link to each other with the fee unit with patient's state of an illness information automatically, and patient's state of an illness information selects the medical section of input block automatic sorting chamber unit to link to each other automatically.
Automatic registration selects input block to link to each other with the fee unit with patient's state of an illness information automatically, and patient's state of an illness information selects the medical section of input block automatic sorting chamber unit to link to each other automatically.Automatic registration and fee unit read the information on the medical card, and information is sent to collector carries out data and process, data after processing are sent to server, server accesses this patient and continues toward medical data from database, be sent to patient's state of an illness information and automatically select input block, after the medical element analysis patient of the section office state of an illness information of automatic sorting is selected the information of input block input automatically, patient's go-on-go is arrived other medical robotization module of corresponding section.
Further, medical robotization module comprises that passing medical history imports unit, state of an illness automatic analysis unit, the detailed inquiry of patient's state of an illness and input block, tentative diagnosis unit; Passing medical history imports the unit input end and links to each other with server by collector, state of an illness automatic analysis unit input end imports the unit with passing medical history respectively, and detailed inquiry links to each other with the input block output terminal with patient's state of an illness, state of an illness automatic analysis unit output terminal links to each other with tentative diagnosis unit input end, and the tentative diagnosis unit is crossed server with information exchange and is sent to medical robotization module or state of an illness auto-check system.
Different departments are equipped with medical robotization module separately, the tentative diagnosis unit provides the tentative diagnosis result by fititious doctor, the processing that the prompting patient enters next step, and patient information and the request that checks passed to automatic gauging module and the image self-verifying module examine such as rank by collector and server, medical robotization module enters state of an illness automatic diagnosis module and waits for assay.If do not need to check, can directly enter state of an illness auto-check system.
Further, image self-verifying module comprises from movable pendulum bit location, autoscan unit, autostore and transmission unit; Link to each other with autoscan unit input end from movable pendulum bit location output terminal, autoscan unit output terminal links to each other with the transmission unit input end with autostore, and autostore links to each other with server by collector with the transmission unit output terminal.
From the movable pendulum bit location with message transport to the autoscan unit, the autoscan unit scans, and the picture after will scanning is sent to autostore and transmission unit, is uploaded onto the server by autostore and transmission unit.
Further, image automatic diagnosis module comprises that image automatic reception unit, passing image import unit, automated image analysis unit, all previous image automatic comparison unit, diagnosis report unit, transmission unit; Image automatic reception unit imports the unit input end with passing image and links to each other with server, image automatic reception unit output terminal automatically contrasts the unit input end with automated image analysis unit and all previous image respectively and links to each other, passing image importing unit output terminal automatically contrasts the unit input end with all previous image and links to each other, diagnosis report unit input end automatically contrasts the unit output terminal with automated image analysis unit and all previous image respectively and links to each other, and the diagnosis report unit is sent to server by transmission unit.
Passing image importing unit is transferred the passing image information of patient by server and is directed in the terminating machine from database, image automatic reception unit receives the check image of image self-verifying module by server, by the automated image analysis unit check image is analyzed, carrying out passing check image by all previous image automatic comparison unit simultaneously compares, comparison result is sent to the diagnosis report unit, print diagnosis report by the diagnosis report unit, and diagnostic result is sent to server.
Further, state of an illness automatic diagnosis module comprises check result receiving element, illness analysis unit, diagnosis report unit, treatment measure unit; Check result receiving element input end links to each other with server, output terminal links to each other with illness analysis unit input end, illness analysis unit output terminal links to each other with diagnosis report unit input end, diagnosis report unit output terminal links to each other with treatment measure unit input end, and treatment measure unit output terminal links to each other with server.
The check result receiving unit is transferred the automatic gauging module and is affected the check result of automatic diagnosis module check from server, being sent to the illness analysis unit analyzes, data after analyzing are sent to the diagnosis report unit, the diagnosis report unit forms diagnostic report, and be sent to treatment measure unit, after by treatment measure unit diagnostic report being analyzed, provide therapeutic scheme, and this scheme is sent to server.
Further, the automatic enforcement of operation module comprises the surgery planning unit and performs the operation and implement the unit; Surgery planning unit input end links to each other with server, and output terminal is implemented the unit with operation and linked to each other.
The surgery planning unit is from transferring patient's image information and diagnostic result from database by server, the detailed protocol of planning operation, pass to operation after finishing and implement the unit, operation enforcement unit carries out robotic surgery or human assistance operation according to the operation plan of surgery planning unit.
Further, the described module of automatically getting it filled comprises doctor's advice receiving element, automatically get it filled unit, medication guide unit; Doctor's advice receiving element input end links to each other with server, and output terminal links to each other with the unit input end of automatically getting it filled, and the unit output terminal of automatically getting it filled links to each other with medication guide unit input end.
The doctor's advice receiver module receives the treatment measure unit of state of an illness automatic diagnosis module, the doctor's advice information of HC module by server, be sent to the module of automatically getting it filled, automatically the unit of getting it filled is finished automatically and is got it filled, and the information of getting it filled is sent to the medication guide unit, provide administrated method by the medication guide unit.
The invention has the beneficial effects as follows: simple in structure, design ingenious, can be applied to the hospital of different scales, can medical patient be processed automatically, and the information of each department or each hospital that can realize communicates with each other, patient is accomplished the management and service of unified standard, automaticity is high, flexible operation reduces consultation time, increases work efficiency.
Description of drawings
Fig. 1 is principle of work block diagram of the present invention;
Fig. 2 is medical management system theory diagram of the present invention;
Fig. 3 is workflow diagram of the present invention.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.
As shown in Figure 1, the present invention is comprised of terminating machine, medical management system, collector, server, data warehouse and PC,
Described PC mainly carries out back-stage management and control, the exchanges data between the management and control modules and transmission;
Described collector is responsible for different language is converted to the system language of server identification, and perhaps the language conversion with server is the system language of Module recognition, makes things convenient for data transmission;
Described database is mainly stored this hospital admission information, the data that simultaneously temporary transient storage is transferred from data warehouse;
The diagnostic message that described data warehouse storage patient goes to a doctor throughout the country;
Described terminating machine is used for showing the corresponding interface of each module;
Terminating machine is connected with medical management system by data line, and medical management system is connected with collector by data line, and collector is connected with server by data line, and server is connected with PC by data line, is connected with data warehouse by Internt.
As shown in Figure 2, medical management system is automatically implemented module, HC module, the Automatic-settlement module of leaving hospital and the module of automatically getting it filled by identification system, automatic registration and go-on-go module, medical robotization module, automatic gauging module, image self-verifying module, image automatic diagnosis module, state of an illness automatic diagnosis module, operation and is formed, and above-mentioned each module is connected with collector with terminating machine respectively.
Described automatic gauging module comprises the body fluid automatic checking system, receives the check request from medical automated system, finishes the rear check result of inspection and imports state of an illness auto-check system into.
Described from the movable pendulum bit location be the image documentation equipments such as CT, MRI, ECT, DR, CR from movable pendulum position module.
Described HC module is finished every automatic management that patient is in hospital, and all treatments all can be consulted and call on the net automatically by identification module.
As described in Figure 3, patient enters identification system when medical, use medical card to swipe the card at terminating machine, and terminating machine is sent to server with the information that receives, server is transferred all past medical informations that continue of this patient from data warehouse, be stored in the database.
After patient's data are read in, enter automatic registration and go-on-go module, patient selects the voice of input block or the state of an illness that oneself was said or selected to text prompt automatically by the patient's state of an illness in the automatic registration module, and be sent to the medical section of automatic sorting chamber unit, after processing, analyze according to the data that receive by the medical section of automatic sorting chamber unit, with patient's go-on-go to relevant medical section office.
Patient enters the medical robotization module of relevant medical section office according to prompting, enter the tentative diagnosis unit, carry out state of an illness diagnosis by fititious doctor, provide diagnostic result, the processing that the prompting patient enters next step, as: body fluid inspection, image check, cardiogram, electroencephalogram special examination, and sending patient information and the request that checks to automatic gauging module and the image self-verifying module examine such as rank by server, medical robotization module enters state of an illness automatic diagnosis module and waits for assay.If do not need to check, can directly enter state of an illness automatic diagnosis module.
Such as needs chemical examination body fluid, patient adopts suitable mode to obtain relevant body fluid according to prompting, put into the automatic gauging module, automatic gauging unit in the automatic gauging module receives the check request from medical robotization module, after finishing inspection, check result is sent to state of an illness automatic diagnosis module by server.
Such as needs CT, MRI, ECT, DR, CR image documentation equipment image check, the self-verifying unit receives the inspection request from medical robotization module, finish patient from the movable pendulum position, autoscan, picture autostore and transmission system, after finishing inspection, check result is sent to image automatic diagnosis module by server.
Passing image importing unit in the image automatic diagnosis module is transferred the passing image information of patient and is directed in the terminating machine by server from database after, received the check image of image self-verifying module by server by image automatic reception unit, and by the automated image analysis unit check image is analyzed, carry out the comparison of passing check image by all previous image automatic comparison unit simultaneously, comparison result is sent to the diagnosis report unit, print diagnosis report by the diagnosis report unit, and diagnostic result is sent to state of an illness automatic diagnosis module by server.
Check result receiving element in the state of an illness automatic diagnosis module receives automatic inspection module by server and affects the check result of automatic diagnosis module check, and the above results is sent to the illness analysis unit analyzes, the illness analysis module utilizes its expert diagnostic system to diagnose, data after the diagnosis are sent to the diagnosis report unit, the diagnosis report unit forms diagnostic report, and be sent to treatment measure unit, after by treatment measure unit diagnostic report being analyzed, provide therapeutic scheme, and this scheme is sent to the module of automatically getting it filled by server.
Perform the operation such as needs, module receives patient by server image information and diagnostic result implemented in operation automatically, carry out patient's three-dimensional reconstruction, the detailed protocol of planning operation, pass to the operation implementation system after finishing, and carry out robotic surgery or human assistance operation by the operation plan of implementation system according to the surgery planning system of performing the operation.
In the time of need to getting it filled, automatically the module of getting it filled receives the treatment measure unit of state of an illness automatic diagnosis module, the doctor's advice information of HC module by the doctor's advice receiver module by server, be sent to the module of automatically getting it filled, automatically the unit of getting it filled is finished automatically and is got it filled, and the information of getting it filled is sent to the medication guide unit, provide administrated method by the medication guide unit.
The expense that all each links need to occur all before entering next link, is deducted from medical card automatically, and the acknowledgement key that needs holder or its clientage to click computing machine expense deduction interface before the deduction can carry out.
When patient is in hospital, finish every automatic management that patient is in hospital by the HC module, all treatments all can be consulted and call on the net automatically by medical card.
The Automatic-settlement module of leaving hospital is mainly finished statement of expense inquiry and is printed, and expense no longer occurs.
Claims (10)
1. medical intelligence system, it is characterized in that, comprise terminating machine, medical management system, collector, server, data warehouse and PC, terminating machine is connected with medical management system by data line, medical management system is connected with collector by data line, collector is connected with server by data line, and server is connected with PC by data line, is connected with data warehouse by Internt.
2. a kind of medical intelligence system according to claim 1, it is characterized in that medical management system comprises automatically enforcement module, HC module, the Automatic-settlement module of leaving hospital and the module of automatically getting it filled of identification system, automatic registration and go-on-go module, medical robotization module, automatic gauging module, image self-verifying module, image automatic diagnosis module, state of an illness automatic diagnosis module, operation; Above-mentioned each module is connected with collector with terminating machine respectively.
3. a kind of medical intelligence system according to claim 2 is characterized in that described identification module comprises medical card, and medical card comprises patient's identity information.
4. a kind of medical intelligence system according to claim 2 is characterized in that, described automatic registration and go-on-go module comprise that automatic registration and fee unit, patient's state of an illness information selects the medical section of input block, automatic sorting chamber unit automatically;
Automatic registration selects input block to link to each other with the fee unit with patient's state of an illness information automatically, and patient's state of an illness information selects the medical section of input block automatic sorting chamber unit to link to each other automatically.
5. a kind of medical intelligence system according to claim 3 is characterized in that, described medical robotization module comprises that passing medical history imports unit, state of an illness automatic analysis unit, the detailed inquiry of patient's state of an illness and input block, tentative diagnosis unit;
Passing medical history imports the unit input end and links to each other with server by collector, state of an illness automatic analysis unit input end imports the unit with passing medical history respectively, and detailed inquiry links to each other with the input block output terminal with patient's state of an illness, state of an illness automatic analysis unit output terminal links to each other with tentative diagnosis unit input end, and the tentative diagnosis unit is crossed server with information exchange and is sent to medical robotization module or state of an illness auto-check system.
6. a kind of medical intelligence system according to claim 5 is characterized in that, described image self-verifying module comprises from movable pendulum bit location, autoscan unit, autostore and transmission unit;
Link to each other with autoscan unit input end from movable pendulum bit location output terminal, autoscan unit output terminal links to each other with the transmission unit input end with autostore, and autostore links to each other with server by collector with the transmission unit output terminal.
7. a kind of medical intelligence system according to claim 5, it is characterized in that, described image automatic diagnosis module comprises that image automatic reception unit, passing image import unit, automated image analysis unit, all previous image automatic comparison unit, diagnosis report unit, transmission unit;
Image automatic reception unit imports the unit input end with passing image and links to each other with server, image automatic reception unit output terminal automatically contrasts the unit input end with automated image analysis unit and all previous image respectively and links to each other, passing image importing unit output terminal automatically contrasts the unit input end with all previous image and links to each other, diagnosis report unit input end automatically contrasts the unit output terminal with automated image analysis unit and all previous image respectively and links to each other, and the diagnosis report unit is sent to server by transmission unit.
8. a kind of medical intelligence system according to claim 2 is characterized in that, described state of an illness automatic diagnosis module comprises check result receiving element, illness analysis unit, diagnosis report unit, treatment measure unit;
Check result receiving element input end links to each other with server, output terminal links to each other with illness analysis unit input end, illness analysis unit output terminal links to each other with diagnosis report unit input end, diagnosis report unit output terminal links to each other with treatment measure unit input end, and treatment measure unit output terminal links to each other with server.
9. a kind of medical intelligence system according to claim 2 is characterized in that, described operation is automatically implemented module and comprised surgery planning unit and operation enforcement unit;
Surgery planning unit input end links to each other with server, and output terminal is implemented the unit with operation and linked to each other.
10. a kind of medical intelligence system according to claim 2 is characterized in that, the described module of automatically getting it filled comprises doctor's advice receiving element, automatically get it filled unit, medication guide unit;
Doctor's advice receiving element input end links to each other with server, and output terminal links to each other with the unit input end of automatically getting it filled, and the unit output terminal of automatically getting it filled links to each other with medication guide unit input end.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413203A (en) * | 2013-08-21 | 2013-11-27 | 苏州慧飞信息科技有限公司 | Multifunctional medicine getting service system |
| CN105118002A (en) * | 2015-07-30 | 2015-12-02 | 芜湖卫健康物联网医疗科技有限公司 | Five-step-method grading diagnosis system and method |
| CN106897463A (en) * | 2017-03-24 | 2017-06-27 | 杭州电子科技大学 | A kind of intellectual medical picture browsing display system and method for supporting cloud image |
| CN108053869A (en) * | 2017-10-10 | 2018-05-18 | 中山大学肿瘤防治中心 | A kind of tumor patient radiotherapy management of process and method of quality control and system |
| CN108648820A (en) * | 2017-03-21 | 2018-10-12 | 河南省金拐杖医疗科技有限公司 | A kind of super round-the-clock automatic diagnosis and therapy system |
| CN108961523A (en) * | 2017-05-17 | 2018-12-07 | 武汉默联股份有限公司 | Hospital register method, device and medical terminal |
| CN110459289A (en) * | 2019-07-25 | 2019-11-15 | 珠海九松科技有限公司 | Solution release system is reported based on the medical consultations of artificial intelligence and image recognition |
| CN110619941A (en) * | 2019-09-10 | 2019-12-27 | 周浩 | Electric needle treatment system and data optimization method thereof |
| CN111899870A (en) * | 2020-08-05 | 2020-11-06 | 山东劳动职业技术学院（山东劳动技师学院） | Meridian and prescription diagnosis program based on typhoid fever and miscellaneous disease theory |
| CN118315051A (en) * | 2024-06-05 | 2024-07-09 | 天津金域医学检验实验室有限公司 | Computer system for automatically detecting encephalitis |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001344347A (en) * | 2000-06-02 | 2001-12-14 | Motohisa Ota | Networked medical care system |
| CN101510367A (en) * | 2009-03-23 | 2009-08-19 | 桂林医学院 | Teaching system for simulating hospital by computer |
| CN101710371A (en) * | 2009-12-25 | 2010-05-19 | 张立彬 | Technology of human health condition holographic acquisition and computer-aided diagnosis and health risk assessment |
| CN102148858A (en) * | 2011-01-12 | 2011-08-10 | 贺仲明 | Multifunctional medical information network system |
| CN102231172A (en) * | 2011-06-10 | 2011-11-02 | 王坦 | Remote medical information acquisition system |
| CN203133948U (en) * | 2012-11-28 | 2013-08-14 | 徐州医学院 | Automatic medical consultation system |
-
2012
- 2012-11-28 CN CN2012104949435A patent/CN102999878A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001344347A (en) * | 2000-06-02 | 2001-12-14 | Motohisa Ota | Networked medical care system |
| CN101510367A (en) * | 2009-03-23 | 2009-08-19 | 桂林医学院 | Teaching system for simulating hospital by computer |
| CN101710371A (en) * | 2009-12-25 | 2010-05-19 | 张立彬 | Technology of human health condition holographic acquisition and computer-aided diagnosis and health risk assessment |
| CN102148858A (en) * | 2011-01-12 | 2011-08-10 | 贺仲明 | Multifunctional medical information network system |
| CN102231172A (en) * | 2011-06-10 | 2011-11-02 | 王坦 | Remote medical information acquisition system |
| CN203133948U (en) * | 2012-11-28 | 2013-08-14 | 徐州医学院 | Automatic medical consultation system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413203A (en) * | 2013-08-21 | 2013-11-27 | 苏州慧飞信息科技有限公司 | Multifunctional medicine getting service system |
| CN105118002A (en) * | 2015-07-30 | 2015-12-02 | 芜湖卫健康物联网医疗科技有限公司 | Five-step-method grading diagnosis system and method |
| CN108648820A (en) * | 2017-03-21 | 2018-10-12 | 河南省金拐杖医疗科技有限公司 | A kind of super round-the-clock automatic diagnosis and therapy system |
| CN106897463A (en) * | 2017-03-24 | 2017-06-27 | 杭州电子科技大学 | A kind of intellectual medical picture browsing display system and method for supporting cloud image |
| CN108961523A (en) * | 2017-05-17 | 2018-12-07 | 武汉默联股份有限公司 | Hospital register method, device and medical terminal |
| CN108053869A (en) * | 2017-10-10 | 2018-05-18 | 中山大学肿瘤防治中心 | A kind of tumor patient radiotherapy management of process and method of quality control and system |
| CN110459289A (en) * | 2019-07-25 | 2019-11-15 | 珠海九松科技有限公司 | Solution release system is reported based on the medical consultations of artificial intelligence and image recognition |
| CN110619941A (en) * | 2019-09-10 | 2019-12-27 | 周浩 | Electric needle treatment system and data optimization method thereof |
| CN111899870A (en) * | 2020-08-05 | 2020-11-06 | 山东劳动职业技术学院（山东劳动技师学院） | Meridian and prescription diagnosis program based on typhoid fever and miscellaneous disease theory |
| CN118315051A (en) * | 2024-06-05 | 2024-07-09 | 天津金域医学检验实验室有限公司 | Computer system for automatically detecting encephalitis |
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Application publication date: 20130327 |