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CN105118002A - Five-step-method grading diagnosis system and method - Google Patents

Five-step-method grading diagnosis system and method
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Publication number
CN105118002A
CN105118002ACN201510455319.8ACN201510455319ACN105118002ACN 105118002 ACN105118002 ACN 105118002ACN 201510455319 ACN201510455319 ACN 201510455319ACN 105118002 ACN105118002 ACN 105118002A
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China
Prior art keywords
patient
unit
module
diagnosis
suggestion
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Pending
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CN201510455319.8A
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Chinese (zh)
Inventor
白茹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhu Weijiankang Internet Of Things Medical Technology Co Ltd
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Wuhu Weijiankang Internet Of Things Medical Technology Co Ltd
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Priority to CN201510455319.8ApriorityCriticalpatent/CN105118002A/en
Publication of CN105118002ApublicationCriticalpatent/CN105118002A/en
Pendinglegal-statusCriticalCurrent

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Abstract

The invention provides a five-step-method grading diagnosis system and method. The system comprises a user management module, a grading diagnosis module, a data storage module and a data transmission module. The method comprises the following steps of calculating the morbidity risk rate of a patient according to acquired basic information of the patient; providing a checking result; reviewing the diagnosis opinions and processing opinions by a medical user and further determining the treatment risk. Common users can understand a current stage in a direct-viewing way. The diagnosis and treatment efficiency and accuracy can be guaranteed. Condition exchanges of patients can be further facilitated.

Description

Five-step approach grading diagnosis system and method
Technical field
The present invention relates to a kind of five-step approach grading diagnosis system and method.
Background technology
Mainly, after patient to hospital, doctor diagnoses patient or treats the mode of seeking medical advice of current existence face-to-face.Under this mode, when patient exchanges with doctor, due to factors such as times, symptom can be there is and omit explanation, and for doctor, when the corresponding sick kind quantity of illness is more, mistaken diagnosis may be there is, omit the generation of the situations such as illness.And treatment process is dominated by doctor completely, patient easyly can not be well understood to the positioned medical stage, and has influence on the arrangement of time of oneself.In addition, because the number of seeking medical advice is more, needed wait time is long.
Summary of the invention
The object of this invention is to provide a kind of five-step approach grading diagnosis system and method to solve the patient that exists in prior art and doctor and carry out face and examine when exchanging, due to factors such as times, symptom can be there is and omit explanation, and for doctor, when the corresponding sick kind quantity of illness is more, mistaken diagnosis may be there is, omit the problems such as the generation of the situations such as illness.
Technical solution of the present invention is:
A kind of five-step approach grading diagnosis system, comprises user management module, grading diagnosis module, data memory module, data transmission module;
User management module: comprise domestic consumer and clinician user, the authority of domestic consumer comprises registration, logs in, fills in questionnaire, checks testing result, and the authority of clinician user comprises registration, login, audits the diagnostic comments fed back and handling suggestion and confirm Operative risk;
Grading diagnosis module comprises inquiry unit, assessment unit, suggestion unit, arranges unit, seeks advice from unit,
Inquiry unit, patient registration and after logging in domestic consumer, by carrying out inquiry to patient with the form of questionnaire, obtaining the basic condition of patient, realizing the collection of patient basis;
Assessment unit, after domestic consumer proposes diagnosis and treatment, according to the patient basis gathered, calculates incidence probability, and obtains check result;
Suggestion unit, according to testing result, feedback diagnostic comments and handling suggestion are to clinician user, and clinician user is audited the diagnostic comments of feedback and handling suggestion and confirms Operative risk;
Arrange unit, according to essential information and the diagnostic result of patient, provide education, treatment, rehabilitation and preventive suggestions;
Consulting unit: the real-time interactive realizing domestic consumer and clinician user;
Data memory module: data in grading diagnosis module are stored at data memory module;
Data transmission module: by data transmission module by data upload in grading diagnosis module to cloud database.
Further, essential information comprises the history information of patient, state of an illness symptom, sex, age.
Further, inquiry unit also gathers the voice messaging of domestic consumer by microphone.
Clinician user is provided with level flag, when advising carrying out classification diagnosis and treatment in unit, patient basis being uploaded to upper level clinician user, being audited by this clinician user and confirming Operative risk the diagnostic comments of feedback and handling suggestion.
A kind of five-step approach grading diagnosis method, comprises inquiry, assessment, suggestion, arrangement, consulting;
Inquiry, patient registration and after logging in domestic consumer, by carrying out inquiry to patient with the form of questionnaire, obtaining the basic condition of patient, realizing the collection of patient basis;
Assessment, after domestic consumer proposes diagnosis and treatment, according to the patient basis gathered, calculates incidence probability, by data upload to high in the clouds, and obtains check result;
Suggestion, according to testing result, feedback diagnostic comments and handling suggestion are to clinician user, and clinician user is audited the diagnostic comments of feedback and handling suggestion and confirms Operative risk;
Arrange, according to essential information and the diagnostic result of patient, provide education, treatment, rehabilitation and preventive suggestions;
Consulting: the real-time interactive realizing patient and doctor.
The invention has the beneficial effects as follows: this kind of five-step approach grading diagnosis system and method, by the patient basis gathered, calculating incidence probability is carried out to patient basis, and provide check result, by clinician user diagnostic comments and handling suggestion audited and confirm Operative risk, domestic consumer can be made to understand the residing stage intuitively, and guarantee efficiency and the accuracy of diagnosis and treatment, conveniently exchange the state of an illness.
Accompanying drawing explanation
Fig. 1 is the structural representation of the embodiment of the present invention.
Fig. 2 is the flow chart illustration of embodiment five-step approach grading diagnosis method.
Embodiment
The preferred embodiments of the present invention are described in detail below in conjunction with accompanying drawing.
Embodiment utilizes cloud to store and cloud computing technology, doctor is integrated the treatment process of patient, forms five step therapies, and embody in APP system, and directly calculate the incidence of disease of patient by accurate algorithm.Embodiment patient assessment process, defines the guidance method of specification, can be obtained the data of the whole treatment process of patient by APP system intuitively.
Embodiment
A kind of five-step approach grading diagnosis system, comprises user management module, grading diagnosis module, data memory module, data transmission module; As Fig. 1.
User management module: comprise domestic consumer and clinician user, the authority of domestic consumer comprises registration, logs in, fills in questionnaire, checks testing result, and the authority of clinician user comprises registration, login, audits the diagnostic comments fed back and handling suggestion and confirm Operative risk;
Grading diagnosis module comprises inquiry unit, assessment unit, suggestion unit, arranges unit, seeks advice from unit,
Inquiry unit, patient registration and after logging in domestic consumer, by carrying out inquiry to patient with the form of questionnaire, obtaining the basic condition of patient, realizing the collection of patient basis;
Assessment unit, after domestic consumer proposes diagnosis and treatment, according to the patient basis gathered, calculates incidence probability, and obtains check result;
Suggestion unit, according to testing result, feedback diagnostic comments and handling suggestion are to clinician user, and clinician user is audited the diagnostic comments of feedback and handling suggestion and confirms Operative risk;
Arrange unit, according to essential information and the diagnostic result of patient, provide education, treatment, rehabilitation and preventive suggestions;
Consulting unit: the real-time interactive realizing domestic consumer and clinician user;
Data memory module: data in grading diagnosis module are stored at data memory module;
Data transmission module: by data transmission module by data upload in grading diagnosis module to cloud database.
Essential information comprises the history information of patient, state of an illness symptom, sex, age.
Inquiry unit also gathers the voice messaging of domestic consumer by microphone.
A kind of five-step approach grading diagnosis method, comprises inquiry, assessment, suggestion, arrangement, consulting; As Fig. 2.
Inquiry, patient registration and after logging in domestic consumer, by carrying out inquiry to patient with the form of questionnaire, obtaining the basic condition of patient, realizing the collection of patient basis;
Assessment, after domestic consumer proposes diagnosis and treatment, according to the patient basis gathered, calculates incidence probability, by data upload to high in the clouds, and obtains check result;
Suggestion, according to testing result, feedback diagnostic comments and handling suggestion are to clinician user, and clinician user is audited the diagnostic comments of feedback and handling suggestion and confirms Operative risk;
Arrange, according to essential information and the diagnostic result of patient, provide education, treatment, rehabilitation and preventive suggestions;
Consulting: the real-time interactive realizing patient and doctor.
In an embodiment, when the incidence probability of domestic consumer is calculated, be weighted by option each in questionnaire and draw.
Adopt five-step approach diagnosis and treatment flow process, utilize cell-phone customer terminal to carry out comprehensive health control to patient:
Inquiry: by carrying out inquiry to patient with the form of questionnaire, obtains the basic condition of patient as history information.
Assessment: by cell-phone customer terminal for the inquiry result to patient, proposes patient and obtains coherence check result, for the diagnosis of patient, treatment provide data reference.The check result of needs of patients, directly uploads to cloud database mainly through smart machine, also can upload acquisition by system and manual patient in the institute of hospital.
Suggestion: according to check result, cell-phone customer terminal for patient propose diagnosis and further handling suggestion, doctor carry out on this basis examination & verification confirmation Operative risk.
Cell-phone customer terminal arranges education, treatment, rehabilitation and preventive suggestions according to the proposition personalization of patient profiles and diagnostic result intelligence.
Embodiment integrates technology of Internet of things and medical technology, sets up classification diagnosis and therapy system, for interchange, auxiliary, Quality Control, arrives three grades of interlock effects of " cloud connects well-known expert, and end enjoys modern medical service ".

Claims (5)

CN201510455319.8A2015-07-302015-07-30Five-step-method grading diagnosis system and methodPendingCN105118002A (en)

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Cited By (7)

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CN105893766A (en)*2016-04-062016-08-24成都数联易康科技有限公司Graded diagnosis and treatment evaluating method based on data mining
CN107122597A (en)*2017-04-122017-09-01广东顺德中山大学卡内基梅隆大学国际联合研究院A kind of corneal damage intelligent diagnosis system
CN109979589A (en)*2019-02-212019-07-05歌尔科技有限公司Analysis method, device and the computer readable storage medium of cure rate
CN110675942A (en)*2019-08-262020-01-10平安好医投资管理有限公司 Medical imaging image diagnosis distribution method, device, terminal and storage medium
CN111710417A (en)*2020-07-242020-09-25四川大学华西医院 A medical guidance system for emergency call information input and intelligent hierarchical diagnosis and treatment
CN113140272A (en)*2020-12-312021-07-20上海明品医学数据科技有限公司Medical information learning system and method
CN113140303A (en)*2020-12-312021-07-20上海明品医学数据科技有限公司Medical information answering system and method

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN105893766A (en)*2016-04-062016-08-24成都数联易康科技有限公司Graded diagnosis and treatment evaluating method based on data mining
CN105893766B (en)*2016-04-062022-03-18成都数联易康科技有限公司Grading diagnosis and treatment evaluation method based on data mining
CN107122597A (en)*2017-04-122017-09-01广东顺德中山大学卡内基梅隆大学国际联合研究院A kind of corneal damage intelligent diagnosis system
CN107122597B (en)*2017-04-122020-04-24广东顺德中山大学卡内基梅隆大学国际联合研究院Intelligent diagnosis system for corneal damage
CN109979589A (en)*2019-02-212019-07-05歌尔科技有限公司Analysis method, device and the computer readable storage medium of cure rate
CN109979589B (en)*2019-02-212023-04-25歌尔科技有限公司 Cure rate analysis method, device and computer-readable storage medium
CN110675942A (en)*2019-08-262020-01-10平安好医投资管理有限公司 Medical imaging image diagnosis distribution method, device, terminal and storage medium
CN111710417A (en)*2020-07-242020-09-25四川大学华西医院 A medical guidance system for emergency call information input and intelligent hierarchical diagnosis and treatment
CN113140272A (en)*2020-12-312021-07-20上海明品医学数据科技有限公司Medical information learning system and method
CN113140303A (en)*2020-12-312021-07-20上海明品医学数据科技有限公司Medical information answering system and method

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Application publication date:20151202


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