Health three-color early warning information system

Abstract

The invention discloses a health three-color early warning information system which comprises an information input module, a physical examination item selection module, a process guide module, an examination result analysis module, a layering module and an auditing module. The information input module receives personal basic information input by the terminal equipment and generates a personal account; the physical examination item selection module displays the item content which can be subjected to physical examination currently; the process guiding module dynamically generates a physical examination process according to the selected physical examination items; an inspection result analysis module obtains a feedback physical examination result, and recognizes and grabs an abnormal result according to a preset keyword matching rule; the layering module performs layering processing according to the abnormal result; and the main examination physician examines the physical examination abnormal result and the layered processing mark through an examination module, and generates an electronic physical examination report. According to the invention, automatic grabbing identification and intelligent layering of the physical examination abnormal results are realized, the risk of human errors is reduced, and the efficiency and accuracy of physical examination data processing are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of physical examination result early warning systems, and in particular to a health three-color early warning information system. Background Art

[0002] With the widespread application of information technology in the medical field, the level of informatization of physical examination systems, as an important means of health management and disease prevention, continues to improve. However, in actual applications, many physical examination systems still have some technical defects, one of which is that there is no hierarchical capture and prompt function for abnormal physical examination results. This defect leads to inefficient processing of physical examination results, affecting the quality and effectiveness of physical examination services.

[0003] The existing physical examination system has the following problems:

[0004] 1. Although many physical examination systems are currently able to collect a large amount of physical examination data, they lack effective information integration capabilities. The data of various business information systems are isolated, and the information standards are not unified, making it difficult to achieve rapid integration and exchange of information, resulting in abnormal physical examination results being unable to be identified and processed in a timely and accurate manner.

[0005] 2. The existing physical examination system is unable to automatically stratify patients according to the severity and intervention strategies of abnormal physical examination results. Currently, medical staff still rely on manual analysis of each physical examination result, which is not only inefficient but also prone to omissions and misjudgments.

[0006] 3. The system lacks a hierarchical capture and prompt function, and the examinees are often unable to understand their abnormal examination results and their severity in a timely manner, causing some examinees who need emergency intervention to miss the best time for treatment, affecting the effectiveness of the system's health management. Summary of the invention

[0007] To solve the above problems, the present invention provides a health three-color early warning information system, and the specific technical solution is as follows:

[0008] It includes information entry module, physical examination item selection module, process guidance module, test result analysis module, stratification module and review module;

[0009] The information entry module receives basic personal information input by the terminal device and generates a personal account, through which the system modules are accessed;

[0010] The physical examination item selection module displays the contents of the items that can be currently examined;

[0011] The process guidance module dynamically generates a physical examination process according to each selected physical examination item;

[0012] The test result analysis module obtains the feedback physical examination results and identifies and captures abnormal results according to preset keyword matching rules;

[0013] The stratification module performs stratification processing according to the abnormal results and transmits them to the review module;

[0014] The chief physician accesses the review module through the terminal device to review the abnormal physical examination results and the marks of stratified processing, and generates an electronic physical examination report based on the review results and feeds it back to the personal account.

[0015] Furthermore, the process guidance module dynamically generates the physical examination process, and the specific process is as follows:

[0016] Obtain the current queue number of the selected physical examination item according to the set time period;

[0017] Determine whether the requirements of the selected physical examination items are sequentially related;

[0018] The process is sorted according to the current queue number. In the process sorting, there are related physical examination items with sequential association. The items are sorted based on the association order, and the physical examination process is dynamically updated according to the set time period.

[0019] Furthermore, the process guidance module dynamically generates the physical examination process, and after obtaining the current queue number, it also includes obtaining the average examination time of each selected physical examination item;

[0020] Calculate the waiting time based on the number of people in front of the current queue and the average examination time for each physical examination item;

[0021] The processes are sorted according to the length of the waiting time.

[0022] Furthermore, according to the preset keyword matching rules, abnormal crawling results are identified, as follows:

[0023] By identifying the target item in the physical examination report, the target item is matched with the items in the abnormal item library.

[0024] Furthermore, the keyword matching rules include exact matching by conclusion keywords, matching by range of characteristic word results, text matching by characteristic word results, and filtering keywords by unmatched terms.

[0025] Furthermore, the exact matching of conclusion keywords is as follows:

[0026] Based on the physical examination results, extract departmental summaries or diagnosis content;

[0027] The text of the department summary or diagnosis content is matched with the text in the abnormal term library. When the text matching degree reaches 100%, the abnormal result is reported.

[0028] Furthermore, the matching by the result range of the characteristic word is as follows:

[0029] Based on the physical examination results, physical sign words and corresponding examination result values ​​are extracted;

[0030] Based on the physical sign word and the test result value, a match is searched in the abnormal term library, the test result value is obtained in the numerical range corresponding to the physical sign word, the abnormal term corresponding to the numerical range is obtained, and the abnormal result corresponding to the term is reported.

[0031] Furthermore, the text matching by the characteristic word result is as follows:

[0032] Based on the physical examination results, physical sign words were extracted;

[0033] Match the sign words with the sign words in the abnormal word library. When the text matching degree reaches 100%, report the abnormal result.

[0034] Furthermore, the filtering of keywords by unmatched terms is as follows:

[0035] Based on the physical examination results, extract departmental summaries or diagnosis content;

[0036] Extract abnormal words from the result content in the text of the department summary or diagnosis content, and match the abnormal words with the text in the abnormal term library. After obtaining the matching result, obtain the unmatched abnormal terms of the matching result, and match the unmatched abnormal terms with the result content in the text of the department summary or diagnosis content. When the text matching degree reaches 100%, the physical examination result is not abnormal and will not be reported.

[0037] Furthermore, the stratification module receives the abnormal results output by the inspection result analysis module, obtains the abnormal level and abnormal part information based on the abnormal term library, and outputs them to the review module, and different abnormal levels are output with different color markings.

[0038] The beneficial effects of the present invention are as follows:

[0039] 1. The present invention creates a file by entering the basic information of the examinee, selects the physical examination items based on the personal account, associates the examination results with the individual, and automatically collects, organizes and analyzes the physical examination results in the system, reducing the time and potential errors of manual operation in the entire process, improving the efficiency of the physical examination process and the accuracy of the data. At the same time, the system can automatically capture and identify abnormal results based on keywords, avoiding the tediousness and subjectivity of manual screening, and improving the accuracy and efficiency of abnormality detection.

[0040] 2. After the examinee selects the physical examination items, the system can dynamically generate the physical examination process sequence according to the examination conditions of each clinic, which improves the physical examination efficiency, enhances the service experience of the examinee, and saves on-site resources; the physical examination results are based on different examination types and the set keyword matching rules, and different modes are selected to call the abnormal entry library, which reduces the system matching pressure, improves the system responsiveness, and improves the accuracy of abnormal result identification.

[0041] 3. The physical examination results and abnormal results are directly fed back to the chief physician. The chief physician can directly refer to the abnormal identification and capture results of the system and the abnormal results of the physical examination in layers during the review, which improves the professionalism and accuracy of the report and enhances the effect of health management. The abnormal results are reported in layers through three colors, so that the examinee can intuitively understand his or her health status and take necessary measures for intervention or treatment in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a system flow chart invented by others. DETAILED DESCRIPTION

[0043] The following description clearly and completely describes the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] In the description of the embodiments of the present invention, it should be noted that the indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the invention product is usually placed when in use, or the orientation or positional relationship commonly understood by those skilled in the art, or the orientation or positional relationship in which the invention product is usually placed when in use, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first" and "second" are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0045] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] Example 1

[0047] Embodiment 1 of the present invention discloses a health three-color early warning information system, such as Figure 1 As shown, the details are as follows:

[0048] The system includes information entry module, physical examination item selection module, process guidance module, test result analysis module, stratification module and review module;

[0049] The information entry module receives basic personal information input by the terminal device and generates a personal account, through which the system modules are accessed;

[0050] Specifically, physical examination personnel can access the system through mobile phones, computers and other terminal devices in mini-programs, official accounts or web terminals, enter personal basic information through the information entry module, complete the registration of personal accounts, and access various modules of the system; they can also enter personal information and register personal accounts (i.e. register and create files in the system) through on-site self-service terminal devices.

[0051] The physical examination item selection module displays the contents of the items that can be currently examined; the examinee selects or changes the physical examination items through this module, and after confirmation, jumps to the payment interface to make payment.

[0052] Specifically, the physical examination item module shares data with the hospital's management system, and physical examination items are selected and booked through the physical examination item module;

[0053] The physical examination item module includes the names of the physical examination items currently provided and the corresponding departments;

[0054] In practice, the time period for physical examination can be set based on the flow of people, and no specific limitation is made here.

[0055] The process guidance module dynamically generates a physical examination process according to each selected physical examination item;

[0056] As a preferred embodiment, the physical examination process is dynamically generated, and the specific process is as follows:

[0057] Obtain the current queue number of the selected physical examination item according to the set time period;

[0058] Determine whether the requirements of the selected physical examination items are sequentially related;

[0059] The process is sorted according to the current queue number. In the process sorting, there are related physical examination items with sequential association. The items are sorted based on the association order, and the physical examination process is dynamically updated according to the set time period.

[0060] As a preferred embodiment, after obtaining the current queue number, it also includes obtaining the average examination time of each selected physical examination item;

[0061] Calculate the waiting time based on the number of people in front of the current queue and the average examination time for each physical examination item;

[0062] The processes are sorted according to the length of the waiting time.

[0063] Specifically, the dynamic physical examination process is updated and fed back synchronously, and the examinee can use the mobile terminal device to access the process guidance module using the personal account to obtain the recommended dynamic physical examination process in real time;

[0064] Physical examinees who do not carry mobile terminal devices can learn about the current dynamic physical examination process from the staff of the current physical examination project after the current physical examination is completed, thereby ensuring the physical examination service experience of the physical examinees.

[0065] Specifically, the physical examination system is connected to the hospital's HIS platform interface to realize the interaction of examination and testing application forms, and complete the push and retrieval of various application forms such as LIS, PACS, ECG, endoscopy, pathology, etc. The examinees can go to various examination departments for examination of various items.

[0066] The test result analysis module obtains the feedback physical examination results and identifies and captures abnormal results according to preset keyword matching rules;

[0067] Specifically, the physical examination system can automatically retrieve and transmit various examination and test result reports to the physical examination system by connecting to the hospital integration platform interface.

[0068] As a preferred embodiment, the target item in the physical examination report is identified and matched with the items in the abnormal item library.

[0069] Specifically, the structure of the abnormal term library is shown in Table 1 below;

[0070] Table 1: Abnormal term library structure composition table

[0071]

[0072]

[0073]

[0074] The abnormal term data storage in the abnormal term library is classified according to the matching pattern.

[0075] The keyword matching rules include exact matching by conclusion keywords, matching by range of characteristic word results, text matching by characteristic word results, and filtering keywords by unmatched terms.

[0076] Specifically, the exact matching of conclusion keywords is as follows:

[0077] Based on the physical examination results, extract the department summary or diagnosis content, that is, obtain the physical examination results of the examinee;

[0078] Select "Match by summary text" and enter the keyword text to be matched in the entry name;

[0079] The maintained important abnormal entry text is matched with the department summary or diagnosis content text in the examination result. When the text matching degree reaches 100% (ie, the important abnormal entry text content is completely included), the important abnormal result is reported.

[0080] Specifically, this matching method is applicable to most examinations such as imaging examinations, electrocardiogram examinations, gastrointestinal endoscopy examinations, pathological examinations, etc., where the examination results or diagnoses are described in text form.

[0081] For example, select "Match by summary text" in the matching mode, and enter the text "duodenal ulcer" in the entry name;

[0082] Assume that the examinee has completed the painless gastroscopy project, and the diagnosis content of the examination result is "multiple duodenal ulcers"; when the examination result of the examinee is generated, the physical examination system automatically compares the diagnosis content of the gastroscopy result with the important abnormal term library one by one. At this time, the diagnosis content text "multiple duodenal ulcers" contains the text "duodenal ulcer" and the text matching degree reaches 100%, matching the term "duodenal ulcer". At this time, the important abnormal result of the examinee is automatically reported, and the abnormal content is "duodenal ulcer".

[0083] The matching by the result range of the sign word is as follows:

[0084] Based on the physical examination results, that is, when the subject's sub-specialty examination results are obtained, the physical sign words and the corresponding examination result values ​​are extracted;

[0085] Select "Match by Sign Word Results", select the sign word, and enter the minimum and maximum values ​​of the result range;

[0086] Specifically, for the same physical sign word M, when different examination result values ​​correspond to different important abnormality levels, the following configuration can be made:

[0087] Maintain entry M1, minimum value x1, maximum value x2;

[0088] Maintain entry M2, minimum value x2, maximum value is empty;

[0089] Maintain entry M3, the minimum value is empty and the maximum value is x1;

[0090] Match the maintained important abnormal terms with the physical sign terms in the examination results. When the result value is within the range maintained by the terms, report the important abnormal result.

[0091] If the result value of the sign word is y, when y<x1, it matches the entry M3; when x1≤y<x2, it matches the entry M1; when y≥x2, it matches the entry M2.

[0092] Specifically, this matching method is applicable to situations where the result of a certain inspection indicator in laboratory inspection, physical inspection and other inspections is described in numerical form.

[0093] For example, select the physical sign word "alpha-fetoprotein", enter 200 as the minimum range value, enter 400 as the maximum range value, and set the abnormal level to normal.

[0094] Assume that after the examinee has completed the "alpha-fetoprotein AFP" test, the result of the "alpha-fetoprotein" indicator is 310. When the examinee's test results are generated, the physical examination system automatically compares the test results with the important abnormal terms library one by one. The value of the result 310 is in the range of 200<310<400 configured for the important abnormal terms, and matches the term "alpha-fetoprotein". At this time, the abnormal test results of the examinee are automatically reported, and the abnormal content is "alpha-fetoprotein: 310".

[0095] The text matching by the sign word result is as follows:

[0096] Based on the physical examination results, that is, obtaining the subject's sub-specialty examination results, extract physical sign words;

[0097] Select "Match by Significant Word Results", select the Significant Word, and enter the keyword text to be matched in the result. There is no need to enter the result range;

[0098] The maintained important abnormal terms are matched with the physical sign terms in the inspection results. When the text matching degree reaches 100% (i.e. the text content of the important abnormal terms is completely included), the important abnormal results are reported.

[0099] For example, the text "Positive" is entered in the result, the maximum and minimum values ​​of the range are not filled in, and the abnormality level is normal.

[0100] Assume that after the examinee has completed the HPV.E6E7 test, the result of the indicator "HPV high-risk E6 / E7mRNA" is "positive"; when the examinee's test result is generated, the physical examination system automatically compares the test result with the important abnormal term library one by one, and the text "positive" of the test result completely matches the result text "positive" of the important abnormal term, so the term "HPV high-risk E6 / E7 mRNA positive" is matched. At this time, the abnormal test result of the examinee is automatically reported, and the abnormal content is "HPV high-risk E6 / E7mRNA: positive".

[0101] The filtering of keywords by unmatched terms is as follows:

[0102] Based on the physical examination results, that is, obtaining the subject's departmental examination results, extracting departmental summaries or diagnosis contents;

[0103] Select "Match by summary text" and enter the keyword text to be matched in the entry name;

[0104] Extract abnormal words from the result content in the text of the department summary or diagnosis content, and match the abnormal words with the text in the abnormal term library. If an important abnormal term is matched, the unmatched term text maintained by the term is checked at the same time. If the match between the inspection result text content and the unmatched term text reaches 100% (that is, it completely contains the unmatched term text content), the matching result is excluded and the important abnormal result is not reported.

[0105] Specifically, this matching method is applicable to imaging examinations, electrocardiogram examinations, gastrointestinal endoscopy examinations, pathological examinations and other examinations, where the examination results or diagnoses are described in text form and need to be matched, but specific keyword texts need to be excluded.

[0106] For example, the text entered in the entry name is "space-occupying lesion", and the unmatched entry is maintained as "no clear space-occupying lesion was found".

[0107] Assume that the examinee has completed the breast color ultrasound project, and the diagnosis content of the examination result is "no clear space-occupying lesions in both breasts"; when the examinee's examination result is generated, the physical examination system automatically compares the diagnosis content of the examination result with the important abnormality entry library one by one. At this time, the diagnosis content text "no clear space-occupying lesions in both breasts" contains the text "space-occupying lesions" and contains the text "no clear space-occupying lesions". At this time, the entry is excluded according to the matching rules, and the examinee's examination result does not belong to an important abnormality and will not be reported.

[0108] The stratification module performs stratification processing according to the abnormal results and transmits them to the review module;

[0109] As a preferred embodiment, the stratification module receives the abnormal results output by the inspection result analysis module, obtains the abnormal level and abnormal part information based on the abnormal term library, and outputs them to the review module, and different abnormal levels are output with different color markings.

[0110] Specifically, the chief physician accesses the review module through the terminal device to review the abnormal physical examination results and the marks of stratified processing. He can review the important abnormal results automatically reported by the system, and modify and confirm them. After the review is completed, the reviewed results will be synchronously fed back to the terminals to which each physical examination item belongs for step-by-step review. After confirmation, an electronic physical examination report will be generated and fed back to the personal account.

[0111] Physical examinees can check their personal electronic physical examination reports and health warning reports through mobile terminal devices; the health warning report will issue three-color warnings for major abnormal results (red indicates critical abnormal results, orange indicates abnormal results that require further diagnosis and treatment, and blue indicates abnormal results that require regular follow-up examinations), and each abnormal item is associated with the corresponding part of the human body for display output;

[0112] Through the human body health risk warning map, the examinee can intuitively understand the distribution of important abnormal results in the human body, as well as detailed medical explanations or suggestions for the Chongyang results. The examinee can consult the report interpretation of abnormal results, conduct online specialist consultation, read health science popularization and other functions.

[0113] In this embodiment, the system also includes a follow-up module, and the physical examination data and abnormal result data after review are transmitted to the follow-up module; the follow-up personnel can access and obtain them on the terminal, and conduct graded follow-up on the examinees according to the severity level of important abnormalities.

[0114] The present invention is not limited to the above-mentioned specific embodiments, but extends to any new features or any new combination disclosed in this specification, as well as any new method or process steps or any new combination disclosed.

Claims

1. A three-color health warning information system, characterized in that: The system includes information entry module, physical examination item selection module, process guidance module, test result analysis module, stratification module and review module; The information entry module receives basic personal information input by the terminal device and generates a personal account, through which the system modules are accessed; The physical examination item selection module displays the contents of the items that can be currently examined; The process guidance module dynamically generates a physical examination process according to each selected physical examination item; The test result analysis module obtains the feedback physical examination results and identifies and captures abnormal results according to preset keyword matching rules; The stratification module performs stratification processing according to the abnormal results and transmits them to the review module; The chief physician accesses the review module through the terminal device to review the abnormal physical examination results and the marks of stratified processing, and generates an electronic physical examination report based on the review results and feeds it back to the personal account.

2. The health three-color early warning information system according to claim 1 is characterized in that: The process guidance module dynamically generates the physical examination process, and the specific process is as follows: Obtain the current queue number of the selected physical examination item according to the set time period; Determine whether the requirements of the selected physical examination items are sequentially related; The process is sorted according to the current queue number. In the process sorting, there are related physical examination items with sequential association, which are sorted in sequence based on the association order, and the physical examination process is dynamically updated according to the set time period.

3. The health three-color early warning information system according to claim 2 is characterized in that: The process guidance module dynamically generates a physical examination process, and after obtaining the current queue number, also includes obtaining the average examination time of each selected physical examination item; Calculate the waiting time based on the number of people in front of the current queue and the average examination time for each physical examination item; The processes are sorted according to the length of the waiting time.

4. The health three-color early warning information system according to claim 1 is characterized in that: According to the preset keyword matching rules, identify abnormal crawling results, as follows: By identifying the target item in the physical examination report, the target item is matched with the items in the abnormal item library.

5. The health three-color early warning information system according to claim 4 is characterized in that: The keyword matching rules include exact matching by conclusion keywords, matching by range of characteristic word results, text matching by characteristic word results, and filtering keywords by unmatched terms.

6. The health three-color early warning information system according to claim 5 is characterized in that: The exact matching of conclusion keywords is as follows: Based on the physical examination results, extract departmental summaries or diagnosis content; The text of the department summary or diagnosis content is matched with the text in the abnormal term library. When the text matching degree reaches 100%, the abnormal result is reported.

7. The health three-color early warning information system according to claim 5 is characterized in that: The matching by the result range of the sign word is as follows: Based on the physical examination results, physical sign words and corresponding examination result values ​​are extracted; Based on the physical sign word and the test result value, a match is searched in the abnormal term library, the test result value is obtained in the numerical range corresponding to the physical sign word, the abnormal term corresponding to the numerical range is obtained, and the abnormal result corresponding to the term is reported.

8. The health three-color early warning information system according to claim 5 is characterized in that: The text matching by the sign word result is as follows: Based on the physical examination results, physical sign words were extracted; Match the sign words with the sign words in the abnormal word library. When the text matching degree reaches 100%, report the abnormal result.

9. The health three-color early warning information system according to claim 5 is characterized in that: The filtering of keywords by unmatched terms is as follows: Based on the physical examination results, extract departmental summaries or diagnosis content; Extract abnormal words from the result content in the text of the department summary or diagnosis content, and match the abnormal words with the text in the abnormal term library. After obtaining the matching result, obtain the unmatched abnormal terms of the matching result, and match the unmatched abnormal terms with the result content in the text of the department summary or diagnosis content. When the text matching degree reaches 100%, the physical examination result is not abnormal and will not be reported.

10. The health three-color early warning information system according to claim 1 is characterized in that: The stratification module receives the abnormal results output by the inspection result analysis module, obtains the abnormal level and abnormal part information based on the abnormal term library, and outputs them to the review module. Different abnormal levels are output with different color markings.

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