CN115662612A - Doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain - Google Patents
Doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain Download PDFInfo
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- CN115662612A CN115662612A CN202211163819.0A CN202211163819A CN115662612A CN 115662612 A CN115662612 A CN 115662612A CN 202211163819 A CN202211163819 A CN 202211163819A CN 115662612 A CN115662612 A CN 115662612A
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- 206010008479 Chest Pain Diseases 0.000 title claims abstract description 35
- 238000003748 differential diagnosis Methods 0.000 title claims abstract description 22
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 208000031225 myocardial ischemia Diseases 0.000 claims abstract description 16
- 208000024891 symptom Diseases 0.000 claims abstract description 11
- 238000003745 diagnosis Methods 0.000 claims abstract description 10
- 201000010099 disease Diseases 0.000 claims description 9
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 9
- 239000003154 D dimer Substances 0.000 claims description 3
- 108010052295 fibrin fragment D Proteins 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- 230000007170 pathology Effects 0.000 abstract 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 3
- 230000001154 acute effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 208000002251 Dissecting Aneurysm Diseases 0.000 description 1
- 208000010378 Pulmonary Embolism Diseases 0.000 description 1
- 206010000891 acute myocardial infarction Diseases 0.000 description 1
- 206010002895 aortic dissection Diseases 0.000 description 1
- 210000000748 cardiovascular system Anatomy 0.000 description 1
- 231100000518 lethal Toxicity 0.000 description 1
- 230000001665 lethal effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 231100001160 nonlethal Toxicity 0.000 description 1
- 230000001575 pathological effect Effects 0.000 description 1
- 206010037844 rash Diseases 0.000 description 1
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Abstract
The invention discloses a doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain, which comprises a triage acquisition module, a diagnosis analysis module and a diagnosis analysis module, wherein the triage acquisition module is used for acquiring the main symptoms and basic vital sign information of a patient; a first-visit acquisition module: for obtaining a patient's past medical history and pathology information characteristic of chest pain; an identification module: myocardial ischemia information for identifying whether myocardial ischemia or suspected myocardial ischemia exists in the electrocardiogram of the patient; a rapid detection module: the system is used for completing the bedside rapid detection to obtain rapid detection information; and the expert module is used for carrying out expert differential diagnosis on the acute chest pain according to the basic vital sign information, the symptom information, the myocardial ischemia information and the rapid detection information. The invention can realize the rapid differential diagnosis of acute chest pain for assisting doctors.
Description
Technical Field
The invention relates to the field of doctor auxiliary systems, in particular to a doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain.
Background
Acute myocardial infarction, aortic dissection and pulmonary embolism are main lethal cardiovascular acute eruptions and are also main causes of death of people in China. The three diseases are commonly expressed as acute chest pain, but many other non-lethal diseases can also be mainly expressed as the acute chest pain, so that the rapid and accurate judgment (differential diagnosis) of the acute chest pain is a precondition for implementing correct rescue measures. Because acute chest pain related diseases mainly belong to the cardiovascular system, only high-grade cardiovascular specialists who are strictly trained and trained in years of clinical work have the capability of rapid differential diagnosis. However, most of acute chest pain patients in China are firstly diagnosed in primary hospitals or emergency departments of large hospitals, doctors and nurses who receive a first visit do not have a cardiovascular special training background, are difficult to perform rapid differential diagnosis work of acute chest pain, often cause misdiagnosis and missed diagnosis of the acute chest pain patients, and become main problems faced by emergency systems in China.
At present, no doctor auxiliary system for rapid differential diagnosis of acute high-risk chest pain exists, and the development of the system is urgently needed in clinic to improve the differential diagnosis capability of first-line first-visit doctors.
Disclosure of Invention
The invention aims to provide a doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain, and aims to solve the clinical key problem of rapid differential diagnosis of acute chest pain.
The invention provides a doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain, which comprises:
a doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain comprises,
the triage acquisition module is used for acquiring the main symptoms and basic vital sign information of the patient;
first-diagnosis obtaining module: the system is used for acquiring six characteristic disease information of the past medical history and chest pain symptoms of a patient;
an identification module: myocardial ischemia information for identifying whether myocardial ischemia or suspected myocardial ischemia exists in the electrocardiogram of the patient;
a rapid detection module: the system is used for completing the bedside rapid detection to obtain rapid detection information;
and the expert module is used for carrying out expert differential diagnosis on the acute chest pain according to the basic vital sign information, the symptom information, the myocardial ischemia information and the rapid detection information to obtain a diagnosis suggestion of the high-risk chest pain.
The first-visit acquisition module is specifically used for: used for acquiring the past medical history of the patient and the disease condition information of the characteristics of chest pain.
The rapid detection module is specifically configured to: the method is used for completing troponin and D-dimer detection to obtain rapid detection information.
By adopting the embodiment of the invention, the rapid diagnosis of emergency doctors can be assisted.
The above description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood, and to make the above and other objects, features, and advantages of the present invention more apparent.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of a doctor assistance system for rapid differential diagnosis of high-risk acute chest pain according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
System embodiment
According to an embodiment of the present invention, a doctor assistance system for rapid differential diagnosis of high-risk acute chest pain is provided, fig. 1 is a schematic diagram of the doctor assistance system for rapid differential diagnosis of high-risk acute chest pain according to the embodiment of the present invention, as shown in fig. 1, specifically including:
the triage acquisition module is used for acquiring the main symptoms and basic vital sign information of the patient;
first-diagnosis obtaining module: the system is used for acquiring disease condition information such as six characteristics of the past medical history and chest pain symptoms of a patient;
an identification module: myocardial ischemia information for identifying whether myocardial ischemia or suspected myocardial ischemia exists in the electrocardiogram of the patient;
a rapid detection module: the system is used for completing the bedside rapid detection to obtain rapid detection information;
and the expert module is used for carrying out expert differential diagnosis on the acute chest pain according to the basic vital sign information, the pathological condition information, the myocardial ischemia information and the rapid detection information to obtain a diagnosis suggestion of the high-risk chest pain.
The first-visit acquisition module is specifically used for: used for obtaining the disease state information of the past medical history of the patient and whether the patient has the six characteristics of chest pain.
The rapid detection module is specifically configured to: the method is used for completing troponin and D-dimer detection to obtain rapid detection information.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; however, these modifications or alternative technical solutions in the embodiments of the present invention do not depart from the scope of the present invention.
Claims (3)
1. A doctor auxiliary system for rapid differential diagnosis of high-risk acute chest pain is characterized by comprising,
the triage acquisition module is used for acquiring the main symptoms and basic vital sign information of the patient;
first-diagnosis obtaining module: the system is used for acquiring characteristic disease state information of the past medical history and chest pain symptoms of a patient;
an identification module: myocardial ischemia information for identifying whether myocardial ischemia or suspected myocardial ischemia exists in the electrocardiogram of the patient;
a rapid detection module: the system is used for completing the bedside rapid detection to obtain rapid detection information;
and the expert module is used for carrying out expert differential diagnosis on the acute chest pain according to the main symptoms, the basic vital sign information, the symptom information, the myocardial ischemia information and the rapid detection information to obtain a diagnosis suggestion of the high-risk chest pain.
2. The system of claim 1, wherein the first-visit acquisition module is specifically configured to: used for obtaining the disease state information of the past medical history of the patient and whether the patient has the six characteristics of chest pain.
3. The system of claim 2, wherein the fast detection module is specifically configured to: the method is used for completing troponin and D-dimer detection to obtain rapid detection information.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117594131A (en) * | 2024-01-17 | 2024-02-23 | 北京市心肺血管疾病研究所 | Device for identifying or assisting in identifying acute chest pain type and application thereof |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106983502A (en) * | 2017-05-16 | 2017-07-28 | 颜罡 | Disease diagnosing system and its application method |
CN109585011A (en) * | 2018-10-26 | 2019-04-05 | 朱海燕 | The Illnesses Diagnoses method and machine readable storage medium of chest pain patients |
CN113130027A (en) * | 2021-04-01 | 2021-07-16 | 广东医通软件有限公司 | Intelligent auxiliary diagnosis and treatment control method and system based on time axis |
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- 2022-09-23 CN CN202211163819.0A patent/CN115662612A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106983502A (en) * | 2017-05-16 | 2017-07-28 | 颜罡 | Disease diagnosing system and its application method |
CN109585011A (en) * | 2018-10-26 | 2019-04-05 | 朱海燕 | The Illnesses Diagnoses method and machine readable storage medium of chest pain patients |
CN113130027A (en) * | 2021-04-01 | 2021-07-16 | 广东医通软件有限公司 | Intelligent auxiliary diagnosis and treatment control method and system based on time axis |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117594131A (en) * | 2024-01-17 | 2024-02-23 | 北京市心肺血管疾病研究所 | Device for identifying or assisting in identifying acute chest pain type and application thereof |
CN117594131B (en) * | 2024-01-17 | 2024-04-16 | 北京市心肺血管疾病研究所 | Device for identifying or assisting in identifying acute chest pain type and application thereof |
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Application publication date: 20230131 |