CN110600090B - Clinical examination data processing method, device, medium and terminal equipment - Google Patents
Clinical examination data processing method, device, medium and terminal equipment Download PDFInfo
- Publication number
- CN110600090B CN110600090B CN201910783359.3A CN201910783359A CN110600090B CN 110600090 B CN110600090 B CN 110600090B CN 201910783359 A CN201910783359 A CN 201910783359A CN 110600090 B CN110600090 B CN 110600090B
- Authority
- CN
- China
- Prior art keywords
- data
- clinical
- clinical examination
- inspection
- labeling
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Automatic Analysis And Handling Materials Therefor (AREA)
Abstract
The invention discloses a clinical examination data processing method, which comprises the following steps: acquiring original data before the medical system is input from each inspection workstation, and acquiring a clinical inspection list containing clinical inspection data in the medical system; identifying and comparing the original data with the clinical examination data, and labeling the data with the difference error in the clinical examination data to form a first labeled data set; judging the data position of the clinical examination order according to an examination order template in the medical system, and labeling data with position errors in the clinical examination order to form a second labeled data set; correcting and labeling error data in the first labeling data set and the second labeling data set respectively through a data identification technology to obtain a corrected clinical examination bill; and comparing error data marked in the corrected clinical examination list with a preset error data threshold, and sending an alarm signal when the correction range of the marked error data is larger than the error data threshold.
Description
Technical Field
The invention relates to the technical field of medical information processing, in particular to a method, a device, a medium and a terminal device for processing clinical examination data.
Background
The information management system of the existing medical clinical laboratory is mainly formed by the butt joint of a hospital HIS system, a laboratory LIS system and a software control system of partial automation equipment, and mainly realizes the functions of transmitting the information of clinical specimen detection items and returning results. The development of modern clinical medicine and the demand of medical diagnosis for various clinical examination indexes are continuously increasing. The enrichment of clinical detection indexes also greatly promotes the improvement of the clinical diagnosis level of diseases. Clinical examination index is more and more abundant, and the complexity that conventional experiment detected is more and more high, and is more and more high to detection efficiency's requirement, also has qualitative promotion to the requirement of laboratory personage management efficiency.
Conventional laboratory information management systems have been elusive in meeting modern clinical laboratory management, exposing serious problems such as: the data flow of clinical data is large, and the data is complex; the data error detection processing before the disease analysis, the sample processing and the information login before the detection, the process monitoring in the detection and the structure return after the detection all need the participation of a large amount of manpower, thereby consuming manpower and material resources, having low efficiency and being easy to generate errors, and being a main link for causing detection errors. In the prior art, the clinical examination data is not subjected to self-checking after being input, so that a clinical analysis result with a large error is obtained after calculation and analysis are performed on error data input into a clinical examination order, and further disease condition analysis and treatment of a patient user by a doctor are influenced.
Disclosure of Invention
The invention provides a method, a device, a medium and a terminal device for processing clinical examination data, which are used for detecting and correcting various types of data in a clinical examination order through a data identification technology and giving an alarm by judging data with large error influence so as to solve the technical problem that the prior art is lack of detection processing on examination data before the clinical examination order is input, thereby improving the accuracy of clinical data analysis and further realizing that a doctor can more efficiently analyze and process the illness state of a patient user.
In order to solve the above technical problem, an embodiment of the present invention provides a method for processing clinical test data, including:
acquiring original data before the medical system is input from each inspection workstation, and acquiring a clinical inspection list containing clinical inspection data in the medical system;
identifying and comparing the original data with the clinical examination data, and labeling data with a difference error in the clinical examination data to form a first labeled data set;
judging the data position of the clinical examination order according to an examination order template in a medical system, and labeling data with position errors in the clinical examination order to form a second labeled data set;
correcting and labeling error data in the first labeling data set and the second labeling data set respectively through a data identification technology to obtain a corrected clinical examination bill;
and comparing the error data marked in the corrected clinical examination list with a preset error data threshold, and sending an alarm signal when the correction range of the marked error data is larger than the error data threshold.
Preferably, the inspection station comprises: biochemical testing workstation, clinical testing workstation, microbiological testing workstation, immunological testing workstation and blood testing workstation.
Preferably, the method for processing clinical test data further comprises: and carrying out classified statistics on the inspection data in the corrected clinical inspection list, and generating an inspection data analysis graph by taking the inspection item as an independent variable and the inspection data as a dependent variable.
Preferably, the method for processing clinical test data further comprises: and carrying out data cleaning processing on the data in the corrected clinical examination list through a data cleaning technology.
Preferably, the data cleaning processing on the data in the revised clinical checklist includes cleaning a data text field in the revised clinical checklist and cleaning a data format in the revised clinical checklist.
An embodiment of the present invention further provides a clinical examination data processing apparatus, including:
the data acquisition module is used for acquiring original data before the data is input into the medical system from each inspection workstation and acquiring a clinical inspection list containing clinical inspection data in the medical system;
the first labeling module is used for identifying and comparing the original data with the clinical examination data, labeling data with difference errors in the clinical examination data, and forming a first labeled data set;
the second labeling module is used for judging the data position of the clinical examination bill according to an examination bill template in the medical system and labeling the data with position errors in the clinical examination bill to form a second labeling data set;
the data correction module is used for correcting and labeling the error data in the first labeling data set and the second labeling data set respectively through a data identification technology to obtain a corrected clinical examination bill;
and the data comparison module is used for comparing the error data marked in the corrected clinical examination list with a preset error data threshold value, and sending an alarm signal when the correction range of the marked error data is larger than the error data threshold value.
Preferably, the clinical examination data processing apparatus further includes: and the graph generation module is used for carrying out classified statistics on the inspection data in the corrected clinical inspection list, and generating an inspection data analysis graph by taking the inspection item as an independent variable and the inspection data as a dependent variable.
Preferably, the clinical examination data processing apparatus further includes: and the data cleaning module is used for cleaning the data in the corrected clinical examination list through a data cleaning technology.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program, when executed, controls an apparatus in which the computer readable storage medium is located to perform a method of processing clinical test data as in any one of the above.
An embodiment of the present invention further provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor, when executing the computer program, implements the clinical test data processing method according to any one of the above items.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention detects and corrects the multi-type data in the clinical examination bill by the data identification technology, and alarms by judging the data with large influence of errors, so as to solve the technical problem that the detection processing of the examination data before the clinical examination bill is input in the prior art is lacked, thereby improving the accuracy of the clinical data analysis and further realizing that a doctor can more efficiently analyze and process the illness state of a patient user.
Drawings
FIG. 1: is a flow chart of the steps of a clinical examination data processing method in an embodiment of the invention;
FIG. 2: the structure of the clinical examination data processing device in the embodiment of the invention is shown schematically.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, in a first embodiment, a method for processing clinical test data is provided, including:
s1, acquiring original data before a medical system is input from each inspection workstation, and acquiring a clinical inspection list containing clinical inspection data in the medical system; in this embodiment, the inspection station includes: biochemical testing workstation, clinical testing workstation, microbiological testing workstation, immunological testing workstation and blood testing workstation. It should be understood that the above mentioned checking stations are not intended to limit the scope of the patent, and that other checking stations not mentioned in the hospital are equally applicable to the present solution.
S2, identifying and comparing the original data with the clinical examination data, and labeling data with difference errors in the clinical examination data to form a first labeled data set; and taking the inspection items in the clinical inspection list as independent variables and the inspection data in the clinical inspection list as dependent variables, uniformly identifying the original data, judging the data with possibly input numerical errors, and identifying and marking.
S3, judging the data position of the clinical examination bill according to an examination bill template in the medical system, and labeling the data with position errors in the clinical examination bill to form a second labeled data set; and uniformly identifying the original data by taking the position of the inspection item in the clinical inspection list as an independent variable and the inspection data in the clinical inspection list as a dependent variable, judging the data with possible input position errors, and identifying and marking.
S4, correcting and labeling error data in the first labeling data set and the second labeling data set respectively through a data identification technology to obtain a corrected clinical examination bill; in this embodiment, the method for processing clinical test data further includes: and carrying out classified statistics on the inspection data in the corrected clinical inspection list, and generating an inspection data analysis graph by taking the inspection item as an independent variable and the inspection data as a dependent variable. In this embodiment, the method for processing clinical test data further includes: and carrying out data cleaning processing on the data in the corrected clinical examination list through a data cleaning technology. In this embodiment, the data cleaning processing on the data in the revised clinical checklist includes cleaning a data text field in the revised clinical checklist and cleaning a data format in the revised clinical checklist.
And S5, comparing error data marked in the corrected clinical examination bill with a preset error data threshold, and sending an alarm signal when the correction range of the marked error data is larger than the error data threshold. The alarm signal may be sent to the medical staff server by sending an alarm command, or directly sending out an audio alarm or a light alarm, and the type of the alarm signal is not limited herein. The threshold value for setting the error data can be preset according to the influence degree of the error data, for example, if the error data is some unnecessary words, the threshold value can be set to be larger, and no alarm is given; if the error data is some important check data, a lower threshold value can be set for alarming; the correction range can be calculated through a weight algorithm, the vector distance between error data and correction data is calculated, the data type is used as a variable, the weight is judged, and then warning is carried out through a preset threshold.
The invention detects and corrects the multi-type data in the clinical examination bill by the data identification technology, and alarms by judging the data with large influence of errors, so as to solve the technical problem that the detection processing of the examination data before the clinical examination bill is input in the prior art is lacked, thereby improving the accuracy of the clinical data analysis and further realizing that a doctor can more efficiently analyze and process the illness state of a patient user.
Referring to fig. 2, correspondingly, an embodiment of the present invention further provides a clinical examination data processing apparatus, including:
the data acquisition module is used for acquiring original data before the data is input into the medical system from each inspection workstation and acquiring a clinical inspection list containing clinical inspection data in the medical system;
the first labeling module is used for identifying and comparing the original data with the clinical examination data, labeling data with difference errors in the clinical examination data, and forming a first labeled data set;
the second labeling module is used for judging the data position of the clinical examination bill according to an examination bill template in the medical system and labeling the data with position errors in the clinical examination bill to form a second labeling data set;
the data correction module is used for correcting and labeling the error data in the first labeling data set and the second labeling data set respectively through a data identification technology to obtain a corrected clinical examination bill; in this embodiment, the clinical examination data processing apparatus further includes: and the graph generation module is used for carrying out classified statistics on the inspection data in the corrected clinical inspection list, and generating an inspection data analysis graph by taking the inspection item as an independent variable and the inspection data as a dependent variable. In this embodiment, the clinical examination data processing apparatus further includes: and the data cleaning module is used for cleaning the data in the corrected clinical examination list through a data cleaning technology.
And the data comparison module is used for comparing the error data marked in the corrected clinical examination list with a preset error data threshold value, and sending an alarm signal when the correction range of the marked error data is larger than the error data threshold value.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program, when running, controls the device on which the computer readable storage medium is located to execute the method for processing clinical test data according to any of the above embodiments.
An embodiment of the present invention further provides a terminal device, where the terminal device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor, when executing the computer program, implements the clinical test data processing method according to any of the above embodiments.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program) that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor may be any conventional Processor, the Processor is a control center of the terminal device, and various interfaces and lines are used to connect various parts of the terminal device.
The memory mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or may also be other volatile solid state memory devices.
It should be noted that the terminal device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the terminal device is only an example and does not constitute a limitation of the terminal device, and may include more or less components, or combine some components, or different components.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (6)
1. A method of processing clinical test data, comprising:
acquiring original data before the medical system is input from each inspection workstation, and acquiring a clinical inspection list containing clinical inspection data in the medical system;
identifying and comparing the original data with the clinical examination data, and labeling data with a difference error in the clinical examination data to form a first labeled data set;
judging the data position of the clinical examination order according to an examination order template in a medical system, and labeling data with position errors in the clinical examination order to form a second labeled data set;
correcting and labeling error data in the first labeled data set and the second labeled data set respectively through a data identification technology to obtain a corrected clinical examination bill;
comparing error data marked in the corrected clinical examination list with a preset error data threshold value, and sending an alarm signal when the correction range of the marked error data is larger than the error data threshold value; calculating the correction range by a weight algorithm, calculating the vector distance between error data and correction data, judging the weight by taking the data type as a variable, and alarming by a preset threshold;
carrying out data cleaning processing on the data in the corrected clinical examination list through a data cleaning technology; and carrying out classified statistics on the inspection data in the corrected clinical inspection list, and generating an inspection data analysis graph by taking the inspection item as an independent variable and the inspection data as a dependent variable.
2. The clinical test data processing method of claim 1, wherein said test workstation comprises: biochemical testing workstation, clinical testing workstation, microbiological testing workstation, immunological testing workstation and blood testing workstation.
3. The clinical examination data processing method of claim 1, wherein the data cleaning process of the data in the revised clinical examination form comprises cleaning the data text field in the revised clinical examination form and cleaning the data format in the revised clinical examination form.
4. A clinical test data processing apparatus, comprising:
the data acquisition module is used for acquiring original data before the data is input into the medical system from each inspection workstation and acquiring a clinical inspection bill containing clinical inspection data in the medical system;
the first labeling module is used for identifying and comparing the original data with the clinical examination data, labeling data with difference errors in the clinical examination data, and forming a first labeled data set;
the second labeling module is used for judging the data position of the clinical examination bill according to an examination bill template in the medical system and labeling the data with position errors in the clinical examination bill to form a second labeling data set;
the data correction module is used for correcting and labeling the error data in the first labeling data set and the second labeling data set respectively through a data identification technology to obtain a corrected clinical examination bill;
the data comparison module is used for comparing error data labeled in the corrected clinical examination bill with a preset error data threshold value, and sending an alarm signal when the correction range of the labeled error data is larger than the error data threshold value;
the data cleaning module is used for cleaning the data in the corrected clinical examination list through a data cleaning technology;
and the graph generation module is used for carrying out classified statistics on the inspection data in the corrected clinical inspection list, and generating an inspection data analysis graph by taking the inspection item as an independent variable and the inspection data as a dependent variable.
5. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the clinical test data processing method according to any one of claims 1 to 3.
6. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the clinical test data processing method according to any one of claims 1 to 3 when executing the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910783359.3A CN110600090B (en) | 2019-08-23 | 2019-08-23 | Clinical examination data processing method, device, medium and terminal equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910783359.3A CN110600090B (en) | 2019-08-23 | 2019-08-23 | Clinical examination data processing method, device, medium and terminal equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110600090A CN110600090A (en) | 2019-12-20 |
| CN110600090B true CN110600090B (en) | 2023-03-14 |
Family
ID=68855484
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910783359.3A Active CN110600090B (en) | 2019-08-23 | 2019-08-23 | Clinical examination data processing method, device, medium and terminal equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110600090B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111274237A (en) * | 2020-01-20 | 2020-06-12 | 重庆亚德科技股份有限公司 | Medical data checking and correcting system and method |
| CN116072305B (en) * | 2023-02-17 | 2023-09-29 | 北京中兴正远科技有限公司 | Clinical trial data acquisition system |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6985870B2 (en) * | 2002-01-11 | 2006-01-10 | Baxter International Inc. | Medication delivery system |
| CN101582081A (en) * | 2009-05-25 | 2009-11-18 | 中兴通讯股份有限公司 | Data comparison method and device |
| CN102114292B (en) * | 2009-12-31 | 2014-04-02 | 北京谊安医疗系统股份有限公司 | Detection method, device and system of medical device |
| CN106548020A (en) * | 2016-10-26 | 2017-03-29 | 袁勇 | Medicine is to checking the automatic prompt system that item detection result is disturbed |
| CN107767924A (en) * | 2017-11-13 | 2018-03-06 | 医渡云（北京）技术有限公司 | Initial data checking method, device, electronic equipment and storage medium |
| CN110019276B (en) * | 2018-06-29 | 2024-01-30 | 珠海爱路达信息科技有限公司 | Intelligent highway facility data acquisition and update method |
| CN109522301A (en) * | 2018-11-07 | 2019-03-26 | 平安医疗健康管理股份有限公司 | A kind of data processing method, electronic equipment and storage medium |
| CN110111887A (en) * | 2019-05-15 | 2019-08-09 | 清华大学 | Clinical aid decision-making method and device |
-
2019
- 2019-08-23 CN CN201910783359.3A patent/CN110600090B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN110600090A (en) | 2019-12-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108197658B (en) | Image annotation information processing method, device, server and system | |
| CN110245716B (en) | Sample labeling auditing method and device | |
| CN111242793B (en) | Medical insurance data abnormality detection method and device | |
| CN111161815A (en) | Medical data detection method, device, terminal and computer-readable storage medium | |
| CN110660462A (en) | Inspection report automatic auditing method, system and storage medium based on big data | |
| CN110600098A (en) | Automatic clinical chemistry auditing method, system, device and storage medium | |
| CN110600090B (en) | Clinical examination data processing method, device, medium and terminal equipment | |
| CN111145848A (en) | Method, device, medium and equipment for detecting adverse reaction events in clinical test | |
| CN114414935A (en) | Automatic positioning method and system for feeder fault area of power distribution network based on big data | |
| CN111400505A (en) | Method and system for matching fault elimination scheme of power consumption information acquisition system | |
| CN111883222A (en) | Text data error detection method and device, terminal equipment and storage medium | |
| CN111773728A (en) | Data table testing method, device, equipment and storage medium | |
| JP6931424B2 (en) | Systems and methods for processing medical data about patients | |
| JP2015172951A (en) | System and method for obtaining statistically valid analysis average value and analysis range of quality control substance | |
| CN111667457B (en) | Automatic identification method, system, terminal and storage medium for vertebral body information based on medical image | |
| CN113723467A (en) | Sample collection method, device and equipment for defect detection | |
| CN110968518A (en) | Analysis method and device for automatic test log file | |
| CN113921128B (en) | Automatic medical detection data software auditing method and electronic equipment | |
| CN110246552B (en) | Specimen management method and system based on failure evaluation | |
| CN114724693A (en) | Method and device for detecting abnormal diagnosis and treatment behaviors, electronic equipment and storage medium | |
| CN113282496A (en) | Automatic interface test method, device, equipment and storage medium | |
| Park et al. | Automatic method for distinguishing hardware and software faults based on software execution data and hardware performance counters | |
| Kim et al. | Fault localization method by partitioning memory using memory map and the stack for automotive ECU software testing | |
| CN115699207B (en) | Federal learning of medical validation models | |
| Choi et al. | Fault Localization by Comparing Memory Updates between Unit and Integration Testing of Automotive Software in an Hardware-in-the-Loop Environment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |