CN106897546A - Medical information aids in doctor's diagnosis and therapy system and method - Google Patents

Medical information aids in doctor's diagnosis and therapy system and method Download PDF

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Publication number
CN106897546A
CN106897546A CN201710025678.9A CN201710025678A CN106897546A CN 106897546 A CN106897546 A CN 106897546A CN 201710025678 A CN201710025678 A CN 201710025678A CN 106897546 A CN106897546 A CN 106897546A
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diagnosis
doctor
medical
patient
medical patient
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张贯京
葛新科
高伟明
王海荣
张少鹏
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Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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Priority to CN201710025678.9A priority Critical patent/CN106897546A/en
Publication of CN106897546A publication Critical patent/CN106897546A/en
Priority to PCT/CN2017/096123 priority patent/WO2018129912A1/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention provides a kind of medical information auxiliary doctor's diagnosis and therapy system and method.The system includes:Information receiving module, matching module, judge module, statistical analysis module, assisting in diagnosis and treatment module and sending module.The judgement that methods described passes through judge module, when medical patient is further consultation, the corresponding diagnosis and treatment template of the further consultation disease is obtained according to the further consultation disease from diagnosis and treatment template server;When the historical electronic case history of medical patient is not obtained, the electronic health record of the patient of doctor in charge's diagnosis and treatment of the medical patient is obtained from electronic health record server, statistical analysis obtains the correlation curve between the various diseases that the doctor in charge makes a definite diagnosis and statistical analysis parameter, statistical analysis parameter and above-mentioned correlation curve according to the medical patient, obtain the possible disease list of the medical patient.System and method of the invention can improve the diagnosis and treatment efficiency of doctor.

Description

Medical information aids in doctor's diagnosis and therapy system and method
Technical field
The present invention relates to medical information technical field, more particularly to a kind of medical information auxiliary doctor's diagnosis and therapy system and Method.
Background technology
, it is necessary to complete interrogation, lower diagnosis, write case history, prescribe, open inspection examination list, answer and suffer from when hospital doctor is seen and treated patients The work such as person's query, and under the overall situation of medical resource shortage, each doctor needs the more patient that sees and treat patients within a certain period of time. Therefore, above-mentioned these work generally require to be completed within short a few minutes, and the operating pressure of doctor is very big, the work to doctor Efficiency requirements are higher.
Accordingly, it would be desirable to medical information auxiliary doctor's diagnosis and therapy system and the side of a kind of efficiency of seeing and treating patients that can improve doctor Method.
The content of the invention
It is an object of the invention to provide a kind of medical information auxiliary doctor's diagnosis and therapy system and method, it is intended to improve doctor Efficiency of seeing and treating patients.
To achieve the above object, the invention provides a kind of medical information auxiliary doctor's diagnosis and therapy system, cloud clothes are run on In business device, the Cloud Server and server of registering, electronic health record server, diagnosis and treatment template server and multiple communicating terminals Equipment is connected, and medical information auxiliary doctor's diagnosis and therapy system includes:
Information receiving module, for receiving medical patient information from communication terminal equipment, this is obtained just from server of registering Examine the primary physician information and statistical analysis parameter of patient;
Matching module, is carried out for the electronic health record in the medical patient information that will receive and electronic health record server Match somebody with somebody;
Judge module, the historical electronic case history for judging whether the acquisition medical patient, if obtaining the medical patient's Historical electronic case history, then the doctor's advice in historical electronic case history judge whether the medical patient is further consultation;
Statistical analysis module, for when the historical electronic case history of medical patient is not obtained, from electronic health record server Obtain the electronic health record of the patient of doctor in charge's diagnosis and treatment of the medical patient, what statistical analysis obtained the medical patient cures mainly doctor Correlation curve between the raw various diseases made a definite diagnosis and statistical analysis parameter;
Assisting in diagnosis and treatment module, for when the medical patient is further consultation, according to the further consultation disease from diagnosis and treatment template server Obtain the corresponding diagnosis and treatment template of the further consultation disease;
The assisting in diagnosis and treatment module, is additionally operable to when the historical electronic case history of medical patient is not obtained, according to the medical trouble Phase between the various diseases that the doctor in charge of the statistical analysis parameter of person and the medical patient makes a definite diagnosis and statistical analysis parameter Linearity curve is closed, the possible disease list of the medical patient is obtained;And
Sending module, for the corresponding diagnosis and treatment template of the further consultation disease to be sent into communication terminal equipment, by the medical trouble The possible disease list of person is sent to communication terminal equipment.
Wherein, the statistical analysis module, is additionally operable to when the medical patient is not further consultation, from electronic health record server Obtain the electronic health record of the patient of doctor in charge's diagnosis and treatment of the medical patient, what statistical analysis obtained the medical patient cures mainly doctor Correlation curve between the raw various diseases made a definite diagnosis and statistical analysis parameter;
The assisting in diagnosis and treatment module, is additionally operable to when the medical patient is not further consultation, according to the statistical of the medical patient Correlation curve between analysis parameter and the various diseases made a definite diagnosis of the doctor in charge and statistical analysis parameter of the medical patient, obtains Obtain the possible disease list of the medical patient;
The statistical analysis parameter includes:Disease makes a definite diagnosis number, consultation time, patient age, patient's native place, Gender And/or patients ' profession.
Wherein, the assisting in diagnosis and treatment module, is additionally operable to obtain possibility from diagnosis and treatment template server according to possible disease list The corresponding diagnosis and treatment template of each disease in list of diseases;
The sending module, is additionally operable to that the corresponding diagnosis and treatment template of each disease communicating terminal will likely be sent in list of diseases Equipment.
Wherein, medical information auxiliary doctor's diagnosis and therapy system also includes:
Determining module, for from communication terminal equipment receive doctor finally determine medical patient's illnesses information and Diagnosis and treatment template after the selected simultaneously perfect information of doctor.
Wherein, the diagnosis and treatment template includes medical record templates and doctor's advice template, and the content of the doctor's advice template is believed including prescription Breath, disposal information and/or detection information.
To achieve the above object, present invention also offers a kind of medical information auxiliary doctor's diagnosis and treatment method, it is applied to cloud In server, the Cloud Server is with server of registering, electronic health record server, diagnosis and treatment template server and multiple communications eventually End equipment is connected, and medical information auxiliary doctor's diagnosis and treatment method is comprised the following steps:
Medical patient information is received from communication terminal equipment, doctor in charge's letter of the medical patient is obtained from server of registering Breath and statistical analysis parameter;
The medical patient information that will be received is matched with the electronic health record in electronic health record server;
Judge whether the historical electronic case history of the acquisition medical patient, if obtaining the historical electronic case history of the medical patient, Then the doctor's advice in historical electronic case history judges whether the medical patient is further consultation;
When the medical patient is further consultation, further consultation disease correspondence is obtained from diagnosis and treatment template server according to the further consultation disease Diagnosis and treatment template;
When the historical electronic case history of medical patient is not obtained, the master of the medical patient is obtained from electronic health record server Control the electronic health record of the patient of doctor's diagnosis and treatment, the various diseases that the doctor in charge that statistical analysis obtains the medical patient makes a definite diagnosis with Correlation curve between statistical analysis parameter;Statistical analysis parameter and the medical patient according to the medical patient are cured mainly Correlation curve between various diseases that doctor makes a definite diagnosis and statistical analysis parameter, obtains the possible disease row of the medical patient Table;
The corresponding diagnosis and treatment template of the further consultation disease is sent to communication terminal equipment;
The possible disease list of the medical patient is sent to communication terminal equipment.
Wherein, medical information auxiliary doctor's diagnosis and treatment method is further comprising the steps of:
The corresponding diagnosis and treatment mould of each disease in possible disease list is obtained from diagnosis and treatment template server according to possible disease list Plate;
The corresponding diagnosis and treatment template of each disease communication terminal equipment will likely be sent in list of diseases.
Wherein, medical information auxiliary doctor's diagnosis and treatment method is further comprising the steps of:
When the medical patient is not further consultation, doctor in charge's diagnosis and treatment of the medical patient are obtained from electronic health record server The electronic health record of the patient for crossing, the various diseases that the doctor in charge that statistical analysis obtains the medical patient makes a definite diagnosis are joined with statistical analysis Correlation curve between number;What the doctor in charge of statistical analysis parameter and the medical patient according to the medical patient made a definite diagnosis Correlation curve between various diseases and statistical analysis parameter, obtains the possible disease list of the medical patient;
The statistical analysis parameter includes:Disease makes a definite diagnosis number, consultation time, patient age, patient's native place, Gender And/or patients ' profession.
Wherein, medical information auxiliary doctor's diagnosis and treatment method is further comprising the steps of:
Finally medical patient's illnesses information of determination and doctor are selected and complete to receive doctor from communication terminal equipment Diagnosis and treatment template after kind information.
Wherein, the diagnosis and treatment template includes medical record templates and doctor's advice template, and the content of the doctor's advice template is believed including prescription Breath, disposal information and/or detection information..
Medical information of the invention aids in doctor's diagnosis and therapy system and method, can be according to medical patient information from electronics disease Go through in server and obtain the historical electronic case history of the medical patient, and then doctor's advice in historical electronic case history judges that this is gone to a doctor Whether patient is further consultation;It is multiple according to this when the historical electronic case history for obtaining medical patient and when to judge the medical patient be further consultation Examine disease and obtain the corresponding diagnosis and treatment template of the further consultation disease from diagnosis and treatment template server;When the historical electronic for not obtaining medical patient Case history or when obtaining the historical electronic case history of medical patient but judging that the medical patient is not further consultation, according to the system of the medical patient Correlation between meter analytical parameters and the various diseases made a definite diagnosis of the doctor in charge and statistical analysis parameter of the medical patient is bent Line, obtains the possible disease list of the medical patient;Doctor's diagnosis and therapy system and method are aided in based on medical information of the invention, Whether doctor can be that further consultation has a preliminary judgement, and it is corresponding to obtain further consultation disease to medical patient before interrogation is started Diagnosis and treatment template, so as to improve the diagnosis and treatment efficiency of doctor.
Brief description of the drawings
Fig. 1 is that the applied environment of the medical information auxiliary doctor's diagnosis and therapy system in first preferred embodiment of the invention is illustrated Figure.
Fig. 2 is the schematic flow sheet of the medical information auxiliary doctor's diagnosis and treatment method in second preferred embodiment of the invention.
Specific embodiment
With reference to specific embodiment, the present invention is described in further detail, and following examples are to solution of the invention Release, the invention is not limited in following examples.
The present invention proposes first preferred embodiment, as shown in figure 1, medical information auxiliary doctor diagnosis and therapy system 10 is transported Row is in Cloud Server 1.The Cloud Server 1 passes through communication network 6 and server 2 of registering, electronic health record server 3, diagnosis and treatment Template server 4 and multiple communication terminal equipments 5 (being illustrated as a example by 3 in Fig. 1) set up communication connection.
The Cloud Server 1 can be a server or a common server in a kind of cloud platform, cloud platform, By the data transmission capabilities and data storage capacities of Cloud Server 1, communication terminal equipment can be preferably processed and/or assisted 5 assisting in diagnosis and treatment request, is conducive to multiple doctors while being operated using different communication terminal equipments 5.
The server 2 of registering is for registering and saving the information of registering of medical patient for the patient that goes to a doctor.It is described medical The information of registering of patient is included but is not limited to:Patient's name, patient age, identification card number, social security card number (or medical card number), trouble The information such as person's native place, Gender, patients ' profession, consultation time, medical section office, the doctor in charge.
The electronic health record server 3 is used to preserve electronic health record.The electronic health record, including patient controls in hospital diagnosis The original record of overall process is treated, for example:Patient's name, patient age, identification card number, social security card number (or medical card number), patient Native place, Gender, patients ' profession, consultation time, medical section office, the doctor in charge, progress note, check assay, doctor's advice, Operation record, NN etc..
Diagnosis and treatment template server 4 is used to preserve the diagnosis and treatment template for various diseases.The diagnosis and treatment template includes case history mould Plate and doctor's advice template, the content of the doctor's advice template include prescription information, disposal information and detection information.
The communication terminal equipment 5 is used to determine medical patient for doctor, check medical patient possible disease list and The corresponding diagnosis and treatment template of each disease in possible disease list, selectes diagnosis and treatment template, and the information improved in diagnosis and treatment template.It is described logical News terminal device 5 may be, but not limited to, smart mobile phone, panel computer, personal digital assistant (Personal Digital Assistant, PDA), PC, other any appropriate electronic equipments such as electronic board.
The communication network 6 can be wireline communication network or cordless communication network.In the first preferred embodiment, it is described Communication network 6 between communication terminal equipment 5 and Cloud Server 1 is preferably cordless communication network, including but not limited to, GSM nets Network, GPRS network, cdma network, WCDMA networks, TD-SCDMA network, WiMAX network, TD-LTE networks, FDD-LTE networks Deng wireless-transmission network.The Cloud Server 1 and register between server 2, electronic health record server 3, diagnosis and treatment template server 4 Communication network 6 be preferably wireline communication network, including but not limited to, metal cordses network, fiber optic network.
In the first preferred embodiment, the Cloud Server 1 includes, but not limited to medical information auxiliary doctor's diagnosis and treatment System 10, communication unit 11, memory cell 12 and processing unit 13.
The communication unit 11 be a kind of communication interface with remote communicating function, for example support GSM, GPRS, CDMA, The communication interface of the wireless communication techniques such as WCDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, supports USB, netting twine, optical fiber Wire communication interface.In the first example, the communication terminal equipment 5 is entered by communication unit 11 with the Cloud Server 1 Row information is interacted;The Cloud Server 1 by communication unit 11 respectively with server 2 of registering, electronic health record server 3, diagnosis and treatment Template server 4 carries out information exchange.
The memory cell 12 can be a kind of read-only memory unit ROM, electrically-erasable memory cell EEPROM, flash memory Storage unit FLASH or solid hard disk etc..
The processing unit 13 can be a kind of central processing unit (Central Processing Unit, CPU), micro-control Device (MCU) processed, data processing chip or the information process unit with data processing function.
As shown in figure 1, the medical information auxiliary doctor diagnosis and therapy system 10 includes:Information receiving module 101, matching mould Block 102, judge module 103, statistical analysis module 104, assisting in diagnosis and treatment module 105, sending module 106 and determining module 107.This The alleged module of invention refers to that a kind of can be performed by the processing unit 13 of the Cloud Server 1 and can complete fixing function Series of computation machine programmed instruction section, its storage in the memory cell 12 of the Cloud Server 1.
Described information receiver module 101 for receiving medical patient information and medical according to this from communication terminal equipment 5 Patient information obtains the primary physician information and statistical analysis parameter of the medical patient from server 2 of registering.
The medical patient information is included but is not limited to:Patient's name, patient's social security card number (or patient assessment's card number), master Control doctor, medical section office and/or medical sequence number etc. information.The statistical analysis parameter is included but is not limited to:Disease make a definite diagnosis number, just Examine time, patient age, patient's native place, Gender and patients ' profession.
In order to improve system treatment effeciency, described information receiver module 101 can be according to the physical address of communication terminal equipment 5 The unique identities identification code that (such as MAC Address) is produced, for recognizing the communication terminal equipment 5 that doctor is used;It is described Identity code can be attached in the result of resume module of the invention, and the successively reception of information receiving module 101 is distinguished so as to play The different medical patient information for arriving, and distinguish the effect based on the series of results obtained by the medical patient information.
Medical information auxiliary doctor diagnosis and therapy system 10 of the present invention can be processed since multiple communication terminal equipments 5 simultaneously The medical patient information for receiving, efficiency high.
The matching module 102, for the electronics disease in the medical patient information that will receive and electronic health record server 3 Go through and matched.
In the first preferred embodiment, the matching module 102 mainly by patient's name, patient's social security card number and/or All electronic health records of patient assessment's card number in electronic health record server 3 carry out traversal matching, if the medical patient once existed The hospital admission mistake, and save electronic health record, you can obtain the historical electronic case history of the medical patient.
The judge module 103, for judging whether the historical electronic case history of the acquisition medical patient, if obtain this going to a doctor The historical electronic case history of patient, then the doctor's advice in historical electronic case history judge whether the medical patient is further consultation.
The judge module 103 judges whether the medical patient is that further consultation can be carried out according to following rule:
First determine whether whether the doctor's advice in the last medical historical electronic case history of the medical patient has further consultation requirement (example Such as:Check or uncomfortable follow-up after n days);If nothing, it is judged to it is not further consultation;If so, then continuing to judge A whether less than or equal to a+ b;If so, it is further consultation to be then judged to, otherwise it is judged to it is not further consultation.
The n is natural number.
The A is the medical patient medical day that this time the medical date is recorded with the last medical historical electronic case history Number of days difference between phase.For example:This time the medical date is on December 20th, 2016, the medical patient nearest to the medical patient The medical date that secondary medical historical electronic case history is recorded is on December 10th, 2016, then A is 10.
The a is the number of days in the further consultation requirement that the last medical historical electronic case history of the medical patient is recorded.If Further consultation requirement is check after n days, then a=n;If further consultation requirement is uncomfortable follow-up, a=m, the m is natural number, specifically The difference of the kinds of Diseases that can be recorded according to the last medical historical electronic case history of medical patient, and according to disease incidence and Treatment characteristic is specifically set.For example:The disease that medical the last medical historical electronic case history of patient is recorded is flu When, the m can be set to 14;When the disease that medical the last medical historical electronic case history of patient is recorded is hand-foot-and-mouth disease, institute Stating m can be set to 7.
The b is positive integer, such as 7.Because patient not necessarily can on time carry out further consultation according to doctor's advice, may postpone Some times carry out further consultation.So increasing certain hour on the basis of the reexamination time required in doctor's advice so that of the invention Further consultation judges actual conditions of more fitting, and both can guarantee that certain accuracy rate, is avoided that again and fails to judge.
The statistical analysis module 104, the historical electronic case history for medical patient ought not obtained, or the medical patient is not When being further consultation, the primary physician information according to the medical patient obtains curing mainly for the medical patient from electronic health record server 3 The electronic health record of the patient of doctor's diagnosis and treatment, and united according to the electronic health record of the patient of doctor in charge's diagnosis and treatment of the medical patient Meter analysis obtains the correlation curve between the various diseases made a definite diagnosis of the doctor in charge of the medical patient and statistical analysis parameter.
In the first preferred embodiment, obtained from electronic health record server 3 by statistical analysis module 104 pairs this just The statistical analysis of the electronic health record of the patient of doctor in charge's diagnosis and treatment of patient is examined, the doctor in charge that can obtain the medical patient is true Correlation curve between the various diseases and statistical analysis parameter examined.
The correlation curve, including but not limited to, the various diseases that the medical section office of medical patient make a definite diagnosis respectively with disease Disease makes a definite diagnosis the correlation curve between number, consultation time, patient age, patient's native place, Gender.
The various diseases and disease that the doctor in charge of the medical patient makes a definite diagnosis make a definite diagnosis the correlation curve between number;The phase Close linearity curve reflection is the various diseases and the corresponding pass made a definite diagnosis between number that the doctor in charge of the medical patient has made a definite diagnosis It is curve.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and consultation time;When just When examining the time by season point, month point or any clearly time period division, correlation curve reflection is the medical patient The various diseases made a definite diagnosis of the doctor in charge the relation curve made a definite diagnosis between number and different clear and definite time periods.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and patient age;Obtaining During the correlation curve, typically patient age was divided by every 10 years old as an age bracket;Substituted in fact of the invention In applying example, it is also possible to which patient age is pressed into young (press 0-6 Sui), teenager's (7-17 Sui), youth's (18-40 Sui), middle age (41-65 Year), old (after 65 years old) divided.Correlation curve reflection is that the doctor in charge of the medical patient has made a definite diagnosis Relation curve between the different age group residing when making a definite diagnosis number with corresponding patient assessment of various diseases.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and patient's native place;The correlation Linearity curve reflection be the medical patient the various diseases made a definite diagnosis of the doctor in charge the native places for making a definite diagnosis number and respective patient Between relation curve.Be would know that by the relation curve:Patients with thalassemia native place be Guangdong, Guangxi or Sichuan compared with It is many, it is the less of each provinces and regions on the south the Changjiang river, it is that northern each provinces and regions are then rarer;Nasopharyngeal Carcinoma Patients native place is Guangdong, Fujian, lake South, Jiangxi it is more.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and Gender;The correlation Linearity curve reflection be the medical patient the various diseases made a definite diagnosis of the doctor in charge the sexes for making a definite diagnosis number and respective patient Between relation curve.Would know that patient with breast cancer's overwhelming majority is women by the relation curve.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and patients ' profession;The correlation Linearity curve reflection be the medical patient the various diseases made a definite diagnosis of the doctor in charge the occupations for making a definite diagnosis number and respective patient Between relation curve.Be would know that by the relation curve:Occupation is the more of electroplater in cadmium poisoning patient;Pneumoconiosis sufferer In person occupation be highway, railway or water conservancy construction workman, mining workman it is more, occupation is then extremely rare for city white collar See.
The assisting in diagnosis and treatment module 105, for when the medical patient is further consultation, according to the further consultation disease from diagnosis and treatment template Server obtains the corresponding diagnosis and treatment template of the further consultation disease;As the historical electronic case history for not obtaining medical patient or the medical patient When being not further consultation, the various diseases that the doctor in charge of statistical analysis parameter and the medical patient according to the medical patient makes a definite diagnosis With the correlation curve between statistical analysis parameter, the possible disease list of the medical patient is obtained;And arranged according to possible disease Table obtains the corresponding diagnosis and treatment template of each disease in possible disease list from diagnosis and treatment template server.
The sending module 106, for the corresponding diagnosis and treatment template of the further consultation disease to be sent into communication terminal equipment 5, will The corresponding diagnosis and treatment template of each disease is sent to communicating terminal and sets in the possible disease list and possible disease list of the medical patient Standby 5.
The determining module 107, is taken a disease for receiving the final medical patient for determining of doctor from communication terminal equipment 5 Diagnosis and treatment template after sick information and the selected simultaneously perfect information of doctor.
In the first preferred embodiment, when the matching module 102 completes matching work, and judge through judge module 103, Obtain the historical electronic case history of the medical patient and when being further consultation, the assisting in diagnosis and treatment module 105 according to the further consultation disease from Diagnosis and treatment template server obtains the corresponding diagnosis and treatment template of the further consultation disease;Then sending module 106 is corresponding by the further consultation disease Diagnosis and treatment template is sent to communication terminal equipment 5.When the matching module 102 completes matching work, and sentence through judge module 103 It is disconnected, when the historical electronic case history or the medical patient for not obtaining medical patient are not further consultation, the basis of assisting in diagnosis and treatment module 105 The various diseases that the doctor in charge of the statistical analysis parameter of the medical patient and the medical patient makes a definite diagnosis and statistical analysis parameter Between correlation curve, obtain the possible disease list of the medical patient;And taken from diagnosis and treatment template according to possible disease list Business device obtains the corresponding diagnosis and treatment template of each disease in possible disease list;Then sending module 106 will likely list of diseases and can The corresponding diagnosis and treatment template of each disease communication terminal equipment 5 can be sent in list of diseases.
Therefore, after doctor determines medical patient in communication terminal equipment 5, before medical patient starts to go to a doctor, for example:Cry Number period, you can know that this is medical or whether be further consultation, and the corresponding diagnosis and treatment template of the corresponding further consultation disease is obtained, or should The corresponding diagnosis and treatment template of each disease in the possible disease list and possible disease list of medical patient such that it is able to more specific aim Carry out interrogation and diagnosis, and according to the symptom and diagnostic result of medical patient, medical record templates and doctor are selected in diagnosis and treatment template Template, and perfect information are advised, so as to be rapidly completed the diagnosis and treatment of medical patient, the efficiency of seeing and treating patients of doctor is improve.
In another aspect of the present invention, doctor's diagnosis and treatment are aided in above-mentioned medical information present invention also offers one kind The corresponding method of system.As shown in Fig. 2 a kind of medical information auxiliary doctor's diagnosis and treatment method, is applied in Cloud Server 1, institute Cloud Server 1 is stated with server 2 of registering, electronic health record server 3, diagnosis and treatment template server 4 and multiple communication terminal equipments 5 And multiple communication terminal equipments 5 are connected.Medical information auxiliary doctor's diagnosis and treatment method is comprised the following steps:
Step S101, patient information of being gone to a doctor from the reception of communication terminal equipment 5, and according to the medical patient information from clothes of registering Business device 2 obtains the primary physician information and statistical analysis parameter of the medical patient.
Specifically, information receiving module 101 receives medical patient information from communication terminal equipment 5, and according to the medical trouble Person's information obtains the primary physician information and statistical analysis parameter of the medical patient from server 2 of registering.
The medical patient information is included but is not limited to:Patient's name, patient's social security card number (or patient assessment's card number), master Control doctor, medical section office and/or medical sequence number etc. information.The statistical analysis parameter is included but is not limited to:Disease make a definite diagnosis number, just Examine time, patient age, patient's native place, Gender and patients ' profession.
In order to improve treatment effeciency, described information receiver module 101 can be according to the physical address (example of communication terminal equipment 5 Such as MAC Address) a unique identities identification code producing, for recognizing the communication terminal equipment 5 that doctor is used;The identity Identification code can be attached in the result of resume module of the invention, distinguish what the priority of information receiving module 101 was received so as to play Different medical patient informations, and distinguish the effect based on the series of results obtained by the medical patient information.
Medical information auxiliary doctor's diagnosis and treatment method of the present invention can be processed come since multiple communication terminal equipments 5 connect simultaneously The medical patient information received, efficiency high.
Step S102, the medical patient information that will be received are matched with the electronic health record in electronic health record server 3.
Specifically, the electronics in the matching module 102 will be received medical patient information and electronic health record server 3 Case history is matched.
In the second preferred embodiments, the matching module 102 mainly by patient's name, patient's social security card number and/or All electronic health records of patient assessment's card number in electronic health record server 3 carry out traversal matching, if the medical patient once existed The hospital admission mistake, and save electronic health record, you can obtain the historical electronic case history of the medical patient.
Step S103, the historical electronic case history for judging whether the acquisition medical patient.
Specifically, the judge module 103 judges whether to obtain the historical electronic case history of the medical patient, if judge module 103 judge to obtain the historical electronic case history of the medical patient, then perform step S104;If judge module 103 judges this The historical electronic case history of medical patient, then perform step S106.
Step S104, judge whether the medical patient is further consultation.
Specifically, doctor's advice of the judge module 103 in historical electronic case history judges whether the medical patient is multiple Examine;If the medical patient is further consultation, step S105 is performed;If the medical patient is not further consultation, step S106 is performed.
The judge module 103 judges whether the medical patient is that further consultation can be carried out according to following rule:
First determine whether whether the doctor's advice in the last medical historical electronic case history of the medical patient has further consultation requirement (example Such as:Check or uncomfortable follow-up after n days);If nothing, it is judged to it is not further consultation;If so, then continuing to judge A whether less than or equal to a+ b;If so, it is further consultation to be then judged to, otherwise it is judged to it is not further consultation.
The n is natural number.
The A is the medical patient medical day that this time the medical date is recorded with the last medical historical electronic case history Number of days difference between phase.For example:This time the medical date is on December 20th, 2016, the medical patient nearest to the medical patient The medical date that secondary medical historical electronic case history is recorded is on December 10th, 2016, then A is 10.
The a is the number of days in the further consultation requirement that the last medical historical electronic case history of the medical patient is recorded.If Further consultation requirement is check after n days, then a=n;If further consultation requirement is uncomfortable follow-up, a=m, the m is natural number, specifically The difference of the kinds of Diseases that can be recorded according to the last medical historical electronic case history of medical patient, and according to disease incidence and Treatment characteristic is specifically set.For example:The disease that medical the last medical historical electronic case history of patient is recorded is flu When, the m can be set to 14;When the disease that medical the last medical historical electronic case history of patient is recorded is hand-foot-and-mouth disease, institute Stating m can be set to 7.
The b is positive integer, such as 7.Because patient not necessarily can on time carry out further consultation according to doctor's advice, may postpone Some times carry out further consultation.So increasing certain hour on the basis of the reexamination time required in doctor's advice so that of the invention Further consultation judges actual conditions of more fitting, and both can guarantee that certain accuracy rate, is avoided that again and fails to judge.
Step S105, the corresponding diagnosis and treatment template of the further consultation disease is obtained from diagnosis and treatment template server according to the further consultation disease, And the corresponding diagnosis and treatment template of the further consultation disease is sent to communication terminal equipment 5;
Step S106, obtain from electronic health record server 3 the medical patient doctor in charge's diagnosis and treatment patient electricity Sub- case history, the then electronic health record statistical analysis of the patient of the doctor in charge's diagnosis and treatment according to the medical patient obtains the medical trouble Correlation curve between various diseases that the doctor in charge of person makes a definite diagnosis and statistical analysis parameter;According to the statistics of the medical patient Correlation curve between various diseases that the doctor in charge of analytical parameters and the medical patient makes a definite diagnosis and statistical analysis parameter, The possible disease list of the medical patient is obtained, and possible disease row are obtained from diagnosis and treatment template server according to possible disease list The corresponding diagnosis and treatment template of each disease in table;The possible disease list of the medical patient is corresponding with each disease in possible disease list Diagnosis and treatment template be sent to communication terminal equipment 5.
Specifically, when the judge module 103 judges to obtain the historical electronic case history of medical patient and when being further consultation, institute State assisting in diagnosis and treatment module 105 and the corresponding diagnosis and treatment template of the further consultation disease obtained from diagnosis and treatment template server according to the further consultation disease, Then the corresponding diagnosis and treatment template of the further consultation disease is sent to communication terminal equipment 5 by the sending module 106.When the judgement mould Block 103 judges not obtain the historical electronic case history of medical patient or when the medical patient is not further consultation, the statistical analysis module 104 doctors in charge that the medical patient is obtained from electronic health record server 3 according to the primary physician information of the medical patient examine The electronic health record of the patient for treating, then the electronic health record statistical of the patient of the doctor in charge's diagnosis and treatment according to the medical patient Analysis obtains the correlation curve between the various diseases made a definite diagnosis of the doctor in charge of the medical patient and statistical analysis parameter;Institute afterwards State assisting in diagnosis and treatment module 105 according to the doctor in charge of the statistical analysis parameter of the medical patient and the medical patient make a definite diagnosis it is each The correlation curve between disease and statistical analysis parameter is planted, the possible disease list of the medical patient is obtained, and according to possible List of diseases obtains the corresponding diagnosis and treatment template of each disease in possible disease list from diagnosis and treatment template server, then the transmission mould The corresponding diagnosis and treatment template of the further consultation disease is sent to communication terminal equipment 5 by block 106.
In the present embodiment, by 104 couples of medical patients obtained from electronic health record server 3 of statistical analysis module Doctor in charge's diagnosis and treatment patient electronic health record statistical analysis, can obtain that the doctor in charge of the medical patient makes a definite diagnosis is each Plant the correlation curve between disease and statistical analysis parameter.
The correlation curve, including but not limited to, the various diseases that the medical section office of medical patient make a definite diagnosis respectively with disease Disease makes a definite diagnosis the correlation curve between number, consultation time, patient age, patient's native place, Gender.
The various diseases and disease that the doctor in charge of the medical patient makes a definite diagnosis make a definite diagnosis the correlation curve between number;The phase Close linearity curve reflection is the various diseases and the corresponding pass made a definite diagnosis between number that the doctor in charge of the medical patient has made a definite diagnosis It is curve.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and consultation time;When just When examining the time by season point, month point or any clearly time period division, correlation curve reflection is the medical patient The various diseases made a definite diagnosis of the doctor in charge the relation curve made a definite diagnosis between number and different clear and definite time periods.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and patient age;Obtaining During the correlation curve, typically patient age was divided by every 10 years old as an age bracket;Substituted in fact of the invention In applying example, it is also possible to which patient age is pressed into young (press 0-6 Sui), teenager's (7-17 Sui), youth's (18-40 Sui), middle age (41-65 Year), old (after 65 years old) divided.Correlation curve reflection is that the doctor in charge of the medical patient has made a definite diagnosis Relation curve between the different age group residing when making a definite diagnosis number with corresponding patient assessment of various diseases.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and patient's native place;The correlation Linearity curve reflection be the medical patient the various diseases made a definite diagnosis of the doctor in charge the native places for making a definite diagnosis number and respective patient Between relation curve.Be would know that by the relation curve:Patients with thalassemia native place be Guangdong, Guangxi or Sichuan compared with It is many, it is the less of each provinces and regions on the south the Changjiang river, it is that northern each provinces and regions are then rarer;Nasopharyngeal Carcinoma Patients native place is Guangdong, Fujian, lake South, Jiangxi it is more.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and Gender;The correlation Linearity curve reflection be the medical patient the various diseases made a definite diagnosis of the doctor in charge the sexes for making a definite diagnosis number and respective patient Between relation curve.Would know that patient with breast cancer's overwhelming majority is women by the relation curve.
Correlation curve between various diseases that the doctor in charge of the medical patient makes a definite diagnosis and patients ' profession;The correlation Linearity curve reflection be the medical patient the various diseases made a definite diagnosis of the doctor in charge the occupations for making a definite diagnosis number and respective patient Between relation curve.Be would know that by the relation curve:Occupation is the more of electroplater in cadmium poisoning patient;Pneumoconiosis sufferer In person occupation be highway, railway or water conservancy construction workman, mining workman it is more, occupation is then extremely rare for city white collar See.
Step S107, medical patient's illnesses information that the final determination of doctor is received from communication terminal equipment 5 and doctor Diagnosis and treatment template after raw selected and perfect information.
Specifically, the determining module 107 receives the final medical patient for determining of doctor and is suffered from from communication terminal equipment 5 Diagnosis and treatment template after disease information and the selected simultaneously perfect information of doctor.
In the second preferred embodiments, when the matching module 102 completes matching work, and judge through judge module 103, Obtain the historical electronic case history of the medical patient and when being further consultation, the assisting in diagnosis and treatment module 105 according to the further consultation disease from Diagnosis and treatment template server obtains the corresponding diagnosis and treatment template of the further consultation disease;Then sending module 106 is corresponding by the further consultation disease Diagnosis and treatment template is sent to communication terminal equipment 5.When the matching module 102 completes matching work, and sentence through judge module 103 It is disconnected, the historical electronic case history for not obtaining medical patient or the historical electronic case history for obtaining the medical patient but when being not further consultation, institute State assisting in diagnosis and treatment module 105 according to the doctor in charge of the statistical analysis parameter of the medical patient and the medical patient make a definite diagnosis it is each The correlation curve between disease and statistical analysis parameter is planted, the possible disease list of the medical patient is obtained;And according to possible List of diseases obtains the corresponding diagnosis and treatment template of each disease in possible disease list from diagnosis and treatment template server;Then sending module 106 the corresponding diagnosis and treatment template of each disease will likely be sent to communication terminal equipment 5 in list of diseases and possible disease list.
Therefore, after doctor determines medical patient in communication terminal equipment 5, before medical patient starts to go to a doctor, for example:Cry Number period, you can know that this is medical or whether be further consultation, and the corresponding diagnosis and treatment template of the corresponding further consultation disease is obtained, or should The corresponding diagnosis and treatment template of each disease in the possible disease list and possible disease list of medical patient such that it is able to more specific aim Carry out interrogation and diagnosis, and according to the symptom and diagnostic result of medical patient, medical record templates and doctor are selected in diagnosis and treatment template Template, and perfect information are advised, so as to be rapidly completed the diagnosis and treatment of medical patient, the efficiency of seeing and treating patients of doctor is improve.
The preferred embodiments of the present invention are these are only, the scope of the claims of the invention is not thereby limited, it is every to utilize this hair Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills Art field, is included within the scope of the present invention.

Claims (10)

1. a kind of medical information auxiliary doctor's diagnosis and therapy system, in running on Cloud Server, it is characterised in that the Cloud Server It is connected with server of registering, electronic health record server, diagnosis and treatment template server and multiple communication terminal equipments, the medical treatment letter Breathization auxiliary doctor's diagnosis and therapy system includes:
Information receiving module, for receiving medical patient information from communication terminal equipment, the medical trouble is obtained from server of registering The primary physician information and statistical analysis parameter of person;
Matching module, the medical patient information for that will receive is matched with the electronic health record in electronic health record server;
Judge module, the historical electronic case history for judging whether the acquisition medical patient, if obtaining the history of the medical patient Electronic health record, then the doctor's advice in historical electronic case history judge whether the medical patient is further consultation;
Statistical analysis module, for when the historical electronic case history of medical patient is not obtained, being obtained from electronic health record server The electronic health record of the patient of doctor in charge's diagnosis and treatment of the medical patient, the doctor in charge that statistical analysis obtains the medical patient is true Correlation curve between the various diseases and statistical analysis parameter examined;
Assisting in diagnosis and treatment module, for when the medical patient is further consultation, being obtained from diagnosis and treatment template server according to the further consultation disease The corresponding diagnosis and treatment template of the further consultation disease;
The assisting in diagnosis and treatment module, is additionally operable to when the historical electronic case history of medical patient is not obtained, according to the medical patient's Correlation between the various diseases that the doctor in charge of statistical analysis parameter and the medical patient makes a definite diagnosis and statistical analysis parameter Curve, obtains the possible disease list of the medical patient;And
Sending module, for the corresponding diagnosis and treatment template of the further consultation disease to be sent into communication terminal equipment, by the medical patient's Possible disease list is sent to communication terminal equipment.
2. medical information according to claim 1 aids in doctor's diagnosis and therapy system, it is characterised in that the statistical analysis mould Block, is additionally operable to when the medical patient is not further consultation, and the doctor in charge that the medical patient is obtained from electronic health record server examines The electronic health record of the patient for treating, various diseases and statistical analysis that the doctor in charge that statistical analysis obtains the medical patient makes a definite diagnosis Correlation curve between parameter;
The assisting in diagnosis and treatment module, is additionally operable to when the medical patient is not further consultation, the statistical analysis ginseng according to the medical patient Correlation curve between number and the various diseases made a definite diagnosis of the doctor in charge and statistical analysis parameter of the medical patient, is somebody's turn to do The possible disease list of medical patient;
The statistical analysis parameter includes:Disease make a definite diagnosis number, consultation time, patient age, patient's native place, Gender and/or Patients ' profession.
3. medical information according to claim 1 aids in doctor's diagnosis and therapy system, it is characterised in that the assisting in diagnosis and treatment mould Block, is additionally operable to obtain the corresponding diagnosis and treatment mould of each disease in possible disease list from diagnosis and treatment template server according to possible disease list Plate;
The sending module, is additionally operable to the corresponding diagnosis and treatment template of each disease to be sent to communicating terminal and set in list of diseases It is standby.
4. medical information according to claim 1 aids in doctor's diagnosis and therapy system, it is characterised in that the medical information Auxiliary doctor's diagnosis and therapy system also includes:
Determining module, for receiving medical patient's illnesses information and the doctor that doctor finally determines from communication terminal equipment Diagnosis and treatment template after selected and perfect information.
5. medical information according to claim 1 aids in doctor's diagnosis and therapy system, it is characterised in that the diagnosis and treatment template bag Medical record templates and doctor's advice template are included, the content of the doctor's advice template includes prescription information, disposal information and/or detection information.
6. a kind of medical information auxiliary doctor's diagnosis and treatment method, is applied in Cloud Server, it is characterised in that the Cloud Server It is connected with server of registering, electronic health record server, diagnosis and treatment template server and multiple communication terminal equipments, the medical treatment letter Breathization auxiliary doctor's diagnosis and treatment method is comprised the following steps:
Receive medical patient information from communication terminal equipment, from server of registering obtain the medical patient primary physician information and Statistical analysis parameter;
The medical patient information that will be received is matched with the electronic health record in electronic health record server;
Judge whether the historical electronic case history of the acquisition medical patient, if obtaining the historical electronic case history of the medical patient, root Judge whether the medical patient is further consultation according to the doctor's advice in historical electronic case history;
When medical patient is further consultation, the corresponding diagnosis and treatment of further consultation disease are obtained from diagnosis and treatment template server according to the further consultation disease Template;
When the historical electronic case history of medical patient is not obtained, the medical patient is obtained from electronic health record server cures mainly doctor The electronic health record of the patient of raw diagnosis and treatment, the various diseases that the doctor in charge that statistical analysis obtains the medical patient makes a definite diagnosis and statistics Correlation curve between analytical parameters;The doctor in charge of statistical analysis parameter and the medical patient according to the medical patient Correlation curve between the various diseases and statistical analysis parameter made a definite diagnosis, obtains the possible disease list of the medical patient;
The corresponding diagnosis and treatment template of the further consultation disease is sent to communication terminal equipment;
The possible disease list of the medical patient is sent to communication terminal equipment.
7. medical information according to claim 6 aids in doctor's diagnosis and treatment method, it is characterised in that the medical information Auxiliary doctor's diagnosis and treatment method is further comprising the steps of:
When the medical patient is not further consultation, doctor in charge's diagnosis and treatment of the medical patient are obtained from electronic health record server The electronic health record of patient, various diseases that the doctor in charge that statistical analysis obtains the medical patient makes a definite diagnosis and statistical analysis parameter it Between correlation curve;It is various that the doctor in charge of statistical analysis parameter and the medical patient according to the medical patient makes a definite diagnosis Correlation curve between disease and statistical analysis parameter, obtains the possible disease list of the medical patient;
The statistical analysis parameter includes:Disease make a definite diagnosis number, consultation time, patient age, patient's native place, Gender and/or Patients ' profession.
8. medical information according to claim 7 aids in doctor's diagnosis and treatment method, it is characterised in that the medical information Auxiliary doctor's diagnosis and treatment method is further comprising the steps of:
The corresponding diagnosis and treatment template of each disease in possible disease list is obtained from diagnosis and treatment template server according to possible disease list;
The corresponding diagnosis and treatment template of each disease communication terminal equipment will likely be sent in list of diseases.
9. medical information according to claim 7 aids in doctor's diagnosis and treatment method, it is characterised in that the medical information Auxiliary doctor's diagnosis and treatment method is further comprising the steps of:
Finally medical patient's illnesses information of determination and doctor select and improve letter to receive doctor from communication terminal equipment Diagnosis and treatment template after breath.
10. medical information according to claim 6 aids in doctor's diagnosis and treatment method, it is characterised in that the diagnosis and treatment template Including medical record templates and doctor's advice template, the content of the doctor's advice template includes prescription information, disposal information and/or detection information.
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Application publication date: 20170627