CN113096753B - Automatic checking method and device for patient data - Google Patents
Automatic checking method and device for patient data Download PDFInfo
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- CN113096753B CN113096753B CN202110317701.8A CN202110317701A CN113096753B CN 113096753 B CN113096753 B CN 113096753B CN 202110317701 A CN202110317701 A CN 202110317701A CN 113096753 B CN113096753 B CN 113096753B
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000003745 diagnosis Methods 0.000 claims abstract description 155
- 238000012795 verification Methods 0.000 claims description 28
- 238000013524 data verification Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 208000006117 ST-elevation myocardial infarction Diseases 0.000 description 6
- 206010000891 acute myocardial infarction Diseases 0.000 description 6
- 238000007726 management method Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 208000024891 symptom Diseases 0.000 description 3
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 206010008479 Chest Pain Diseases 0.000 description 1
- 208000006011 Stroke Diseases 0.000 description 1
- 206010052428 Wound Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000013176 antiplatelet therapy Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000004217 heart function Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
Classifications
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- 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
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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
Abstract
The invention relates to an automatic checking method and device for patient data, wherein the method comprises the following steps: presetting diagnosis and treatment time axis templates of different types of patients; acquiring various diagnosis and treatment information of a current patient and time information corresponding to the various diagnosis and treatment information; acquiring a corresponding diagnosis and treatment time axis template according to the type of the current patient; and checking each item of diagnosis and treatment information according to the corresponding diagnosis and treatment time axis template, judging whether the diagnosis and treatment information with the time sequence error exists, if so, carrying out warning prompt, otherwise, reporting each item of diagnosis and treatment information. The invention can check diagnosis and treatment information in time, avoid input error and leakage and ensure the normal operation of a medical information management system.
Description
Technical Field
The invention relates to the technical field of diagnosis and treatment information verification, in particular to an automatic verification method and device for patient data and a computer storage medium.
Background
Along with the continuous development of informatization, the management of medical information is also gradually developed into a modern, scientific and standardized means. When medical information is managed, management of input information is a first problem to be solved.
At present, the information input work is generally completed by manual input of a user, and the condition of error and leakage can not be avoided in a manual input mode. Moreover, the information input of different diagnosis and treatment stages is generally completed by different people, so that the negligence and the omission are more likely to occur. Especially, when emergency is encountered, the time emergency is likely to be less than the time for checking the information, and the accuracy of the input information is difficult to ensure. The input information is the basis of the overall medical information management, and if the correctness of the input information cannot be ensured, the acquisition and management of other follow-up information cannot be ensured. Meanwhile, for some special diseases, such as diseases possibly having infectivity, the recorded information needs to be reported to a previous system, so that the correctness of the information needs to be ensured before reporting.
Disclosure of Invention
In view of the foregoing, it is necessary to provide an automatic verification method and device for patient data, which are used for solving the problems that the accuracy of the current medical information input is difficult to ensure and the normal operation of the medical information management system is affected.
The invention provides an automatic checking method for patient data, which comprises the following steps:
presetting diagnosis and treatment time axis templates of different types of patients;
acquiring various diagnosis and treatment information of a current patient and time information corresponding to the various diagnosis and treatment information;
acquiring a corresponding diagnosis and treatment time axis template according to the type of the current patient;
and checking each item of diagnosis and treatment information according to the corresponding diagnosis and treatment time axis template, judging whether the diagnosis and treatment information with the time sequence error exists, if so, carrying out warning prompt, otherwise, reporting each item of diagnosis and treatment information.
Further, diagnosis and treatment time axis templates of different types of patients are set, specifically:
setting corresponding diagnosis and treatment projects according to the types of patients and the sequence requirements of the diagnosis and treatment projects;
and generating the diagnosis and treatment time axis template by combining each diagnosis and treatment project and sequence requirements thereof.
Further, obtaining various diagnosis and treatment information of the current patient specifically includes:
and configuring an information input template, and collecting various diagnosis and treatment information of patients input by a user through the information input template.
Further, time information of each diagnosis and treatment information is obtained, specifically:
and acquiring the input time of the user for inputting various diagnosis and treatment information of the patient as corresponding time information.
Further, each diagnosis and treatment information is checked according to the corresponding diagnosis and treatment time axis template, specifically:
judging whether the time information of each diagnosis and treatment information meets the sequence specified by the diagnosis and treatment time axis template.
Further, the method further comprises the following steps: checking the duration of each diagnosis and treatment project;
the verification is carried out on each diagnosis and treatment project, and specifically comprises the following steps:
the diagnosis and treatment time axis template further comprises time length indexes of various diagnosis and treatment projects;
calculating the actual duration of each diagnosis and treatment project according to the time information of each diagnosis and treatment information of the current patient;
judging whether the actual time length meets the corresponding time length index, if so, reporting various diagnosis and treatment information, otherwise, carrying out warning prompt.
Further, the method also comprises the step of checking necessary information for each diagnosis and treatment information;
the necessary information verification is carried out on each diagnosis and treatment information, and specifically comprises the following steps:
judging whether each item of diagnosis and treatment information contains all necessary information, if so, reporting each item of diagnosis and treatment information, and otherwise, carrying out warning prompt.
Further, the method further comprises the following steps: modifying the abnormal diagnosis and treatment information related to the warning prompt, and reporting the modified diagnosis and treatment information.
The invention also provides an automatic checking device for the patient data, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the automatic checking method for the patient data is realized when the computer program is executed by the processor.
The present invention also provides a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the method for automated verification of patient data.
The beneficial effects are that: before information is input, different diagnosis and treatment time axis templates are configured, and the different diagnosis and treatment time axis templates describe diagnosis and treatment processes of different types of patients. And then checking the diagnosis and treatment information recorded in each diagnosis and treatment stage of the current patient according to the diagnosis and treatment time axis template, and judging whether the recording of each diagnosis and treatment information accords with the time sequence specified by the corresponding template, thereby judging whether the corresponding information is recorded in error. And when the information is input incorrectly, warning prompt is carried out so as to modify in time. The invention can ensure the accuracy of information input and the normal operation of the medical information management system.
Drawings
FIG. 1 is a flowchart of a method for automatically verifying patient data according to a first embodiment of the present invention;
FIG. 2 is a diagram of an exemplary diagnosis and treatment timeline module according to a first embodiment of the automatic verification method for patient data according to the present invention;
FIG. 3 is a schematic diagram of a time period verification of a first embodiment of an automatic verification method for patient data according to the present invention;
FIG. 4 is a diagram illustrating the verification of necessary information in a first embodiment of an automatic verification method for patient data according to the present invention;
fig. 5 is a detailed flowchart of a first embodiment of the automatic verification method for patient data according to the present invention.
Detailed Description
Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and together with the description serve to explain the principles of the invention, and are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, embodiment 1 of the present invention provides an automatic verification method for patient data, comprising the steps of:
s1, presetting diagnosis and treatment time axis templates of different types of patients;
s2, acquiring various diagnosis and treatment information of the current patient and time information corresponding to the various diagnosis and treatment information;
s3, acquiring a corresponding diagnosis and treatment time axis template according to the type of the current patient;
s4, checking each diagnosis and treatment information according to the corresponding diagnosis and treatment time axis template, judging whether the diagnosis and treatment information with the time sequence error exists, if so, carrying out warning prompt, and otherwise, reporting each diagnosis and treatment information.
Before information is input, different diagnosis and treatment time axis templates are configured for different types of patients. Different types of patients are in particular patients of different visit reasons. When patients have different diagnosis reasons (the diagnosis reasons comprise chest pain, apoplexy and wounds), corresponding diagnosis and treatment processes are generally carried out, so that a diagnosis and treatment time axis template can be constructed according to the corresponding diagnosis and treatment processes so as to be used for subsequent time sequence verification of input information. After the diagnosis and treatment time axis template is established, the user can timely check the time axis of each diagnosis and treatment information after inputting the diagnosis and treatment information and the corresponding time information of the patient, and whether the time information of each diagnosis and treatment information meets the requirements or not is judged, for example, the time sequence on the business process is wrong, and once the mistake is found, a warning prompt is timely sent out to prompt the user to check and modify the information. And outputting the modification page while outputting the warning prompt information, and if the modification is needed, directly clicking a display frame on a time axis to enter time editing modification. And how to check the information, if the information is checked to be correct, the information is directly reported. Specifically, the information required to be reported is reported after verification is error-free, and the information required to be reported is not required to be reported and is stored after verification is error-free.
Preferably, diagnosis and treatment time axis templates of different types of patients are set, specifically:
setting corresponding diagnosis and treatment projects according to the types of patients and the sequence requirements of the diagnosis and treatment projects;
and generating the diagnosis and treatment time axis template by combining each diagnosis and treatment project and sequence requirements thereof.
Specifically, this embodiment sets up the diagnosis and treatment time axis template that the patient of STEMI type corresponds, and this diagnosis and treatment time axis template includes morbidity, the first electrocardiograph collection in the hospital, the first electrocardiograph diagnosis in the hospital, begin to agree with, start catheter room, activate catheter room, the patient arrives catheter room, decide intervention operation, sign to agree with, the seal wire is through ten diagnosis and treatment projects altogether, and has stipulated three order requirements, and three order requirements are respectively: the start informed consent time should be later than the start catheter room time, the start catheter room time should be later than the decision intervention time, and the signed informed consent time should be later than the start informed consent time. And checking diagnosis and treatment information of the corresponding type of patients according to the diagnosis and treatment time axis template.
Preferably, each item of diagnosis and treatment information of the current patient is acquired, specifically:
and configuring an information input template, and collecting various diagnosis and treatment information of patients input by a user through the information input template.
Before acquiring diagnosis and treatment information, configuring an information input template, and enabling a user to input information according to prompts of the pre-configured information input template, collecting patient information, reducing error and leakage of information input, and reducing frequency of subsequent modification. Specifically, the information entry template includes a sub-template for each treatment item for each type of patient.
Preferably, the time information of each diagnosis and treatment information is obtained, specifically:
and acquiring the input time of the user for inputting various diagnosis and treatment information of the patient as corresponding time information.
In general, when a patient performs various diagnosis and treatment projects, the patient performs the input of various diagnosis and treatment information simultaneously, so that the input time of the diagnosis and treatment information can be used as the time information of the corresponding diagnosis and treatment information, the automatic input of the time information is realized, and the workload is reduced. Meanwhile, after the time information is automatically recorded, the user can be prompted to check the time information automatically recorded, and if errors exist, the time information is modified.
Preferably, each item of diagnosis and treatment information is checked according to the corresponding diagnosis and treatment time axis template, which specifically comprises:
judging whether the time information of each diagnosis and treatment information meets the sequence specified by the diagnosis and treatment time axis template.
Specifically, fig. 2 shows a flowchart of diagnosis and treatment information of a patient with a STEMI type, from which the acquisition time of each diagnosis and treatment item in the figure can be determined, and the diagnosis and treatment information verification of the patient does not meet two sequential requirements in the template, that is, the start informed consent time should be later than the start catheter room time and the start catheter room time should be later than the decision intervention operation time, so that a warning prompt needs to be output to prompt the user to modify, and reporting is performed after the modification.
Preferably, the method further comprises: checking the duration of each diagnosis and treatment project;
the verification is carried out on each diagnosis and treatment project, and specifically comprises the following steps:
the diagnosis and treatment time axis template further comprises time length indexes of various diagnosis and treatment projects;
calculating the actual duration of each diagnosis and treatment project according to the time information of each diagnosis and treatment information of the current patient;
judging whether the actual time length meets the corresponding time length index, if so, reporting various diagnosis and treatment information, otherwise, carrying out warning prompt.
In addition to verifying the time series requirements of each treatment item, the present embodiment also verifies the time length requirements of each treatment item. When the STEMI type patient diagnosis and treatment time axis template is set, the time length index of each diagnosis and treatment item is set, for example, the time length index is larger than the set time, smaller than the set time or within the set time range. And then calculating the actual time length of each diagnosis and treatment project according to the time information of the entered diagnosis and treatment information, and judging whether the actual time length meets the time length index.
Specifically, fig. 3 shows three quality control indexes (instant length indexes) of a diagnosis and treatment time axis template of a STEMI type patient, which are respectively: the time from the symptom time of STEMI patient (namely the time of onset) to the finger control requirement (namely the instant long requirement) of the first medical contact time is less than or equal to 180min, the first medical contact time to the first electrocardiogram acquisition time is less than or equal to 10min, and the time from the entrance time of STEMI patient (namely the time to the gate of hospital) of PPCI to the time of guide wire passing is less than or equal to 90min. The three quality control indexes are respectively abbreviated as: symptom-to-first touch time, first touch ECG time, entry-to-guide wire transit time.
In fig. 3, time information of each diagnosis and treatment project is also provided, the time of onset is not recorded, the first medical contact time is 2020-07-09 15:21:46, the first electrocardiograph acquisition time is 2020-07-09 15:22:00, the time to reach the gate of the hospital is 2020-07-09 15:19:00, and the time for the guide wire to pass is 2020-07-09 15:29:00. The actual time length calculated according to the time information of each diagnosis and treatment project is as follows: the time from symptoms to first touch cannot be calculated because the onset time is not recorded; the first touch ECG time was 1min and the entry to guidewire transit time was 10min. The calculated actual time length meets the corresponding time length index requirement, so that diagnosis and treatment information can be directly reported.
Preferably, the method further comprises the step of checking necessary information for each diagnosis and treatment information;
the necessary information verification is carried out on each diagnosis and treatment information, and specifically comprises the following steps:
judging whether each item of diagnosis and treatment information contains all necessary information, if so, reporting each item of diagnosis and treatment information, and otherwise, carrying out warning prompt.
The necessary information is the information input item, the necessary information checking means determining whether the necessary information items of all the sub-templates (such as emergency call input module, hospital first aid input module, etc.) in the information input template are input, if not, the abnormal data modification is needed, i.e. the page editing operation is clicked.
Specifically, fig. 4 shows the delivery-necessary items included in the information entry template provided in this embodiment, where the delivery-necessary items included in the emergency (in-hospital) receiving stage are notification of the consultation time, the delivery-necessary items for in-hospital examination include remote electrocardiogram transmission, emergency CT, color ultrasound, MRI, and the delivery-necessary items in the in-hospital consultation stage include in-hospital consultation time, cardiac function classification, and antiplatelet therapy.
Preferably, the method further comprises: modifying the abnormal diagnosis and treatment information related to the warning prompt, and reporting the modified diagnosis and treatment information.
Specifically, as shown in fig. 5, the detailed flow of the embodiment is S11, a diagnosis and treatment time axis template is set; s21, after diagnosis and treatment information is input into a new patient; after the new patient inputs diagnosis and treatment information, triage is carried out, and the type of the patient is determined; the triage can adopt a manual triage mode, and can also be configured with a triage template to carry out automatic triage; s31, matching a time axis template after diagnosis is completed; selecting a corresponding diagnosis and treatment time axis template to carry out three types of data verification; the three types of data verification are S41 and necessary information verification respectively; s42, checking a time axis; s43, checking duration; s44, after the verification is completed, modifying and adjusting the abnormal data with error verification; s45, reporting the modified and adjusted perfect data.
Example 2
Embodiment 2 of the present invention provides an automatic patient data verification apparatus, including a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the automatic patient data verification method provided in embodiment 1 is implemented.
The automatic patient data verification device provided by the embodiment of the invention is used for realizing the automatic patient data verification method, so that the automatic patient data verification device has the technical effects of the automatic patient data verification method, and the automatic patient data verification device is also provided and is not described in detail herein.
Example 3
Embodiment 3 of the present invention provides a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the patient data automatic verification method provided in embodiment 1.
The computer storage medium provided by the embodiment of the invention is used for realizing the automatic verification method of the patient data, so that the technical effects of the automatic verification method of the patient data are achieved, and the computer storage medium is also provided and is not described herein.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (6)
1. An automatic verification method for patient data, comprising the following steps:
presetting diagnosis and treatment time axis templates of different types of patients; the method comprises the following steps:
setting corresponding diagnosis and treatment projects according to the types of patients and the sequence requirements of the diagnosis and treatment projects;
generating the diagnosis and treatment time axis template by combining each diagnosis and treatment project and sequence requirements thereof;
acquiring various diagnosis and treatment information of a current patient and time information corresponding to the various diagnosis and treatment information, wherein the acquiring of the various diagnosis and treatment information of the current patient specifically comprises the following steps:
configuring an information input template, collecting various diagnosis and treatment information of a patient input by a user through the information input template, and acquiring time information of the various diagnosis and treatment information, wherein the time information comprises the following specific steps of:
acquiring the input time of various diagnosis and treatment information of a patient input by a user as corresponding time information;
acquiring a corresponding diagnosis and treatment time axis template according to the type of the current patient;
each diagnosis and treatment information is checked according to the corresponding diagnosis and treatment time axis template, and the method specifically comprises the following steps: judging whether the time information of each diagnosis and treatment information meets the sequence specified by the diagnosis and treatment time axis template, judging whether the diagnosis and treatment information with the wrong time sequence exists, if so, carrying out warning prompt, and otherwise, reporting each diagnosis and treatment information.
2. The automated patient data verification method according to claim 1, further comprising: checking the duration of each diagnosis and treatment project;
the duration of each diagnosis and treatment project is checked, and the method specifically comprises the following steps:
the diagnosis and treatment time axis template further comprises time length indexes of various diagnosis and treatment projects;
calculating the actual duration of each diagnosis and treatment project according to the time information of each diagnosis and treatment information of the current patient;
judging whether the actual time length meets the corresponding time length index, if so, reporting various diagnosis and treatment information, otherwise, carrying out warning prompt.
3. The automated patient data verification method according to claim 1, further comprising performing necessary information verification for each item of diagnosis and treatment information;
the necessary information verification is carried out on each diagnosis and treatment information, and specifically comprises the following steps:
judging whether each item of diagnosis and treatment information contains all necessary information, if so, reporting each item of diagnosis and treatment information, and otherwise, carrying out warning prompt.
4. The automated patient data verification method according to claim 1, further comprising: modifying the abnormal diagnosis and treatment information related to the warning prompt, and reporting the modified diagnosis and treatment information.
5. An automated patient data verification apparatus comprising a processor and a memory, wherein the memory has a computer program stored thereon, which when executed by the processor, implements the automated patient data verification method of any one of claims 1-4.
6. A computer storage medium having stored thereon a computer program which, when executed by a processor, implements the automated patient data verification method of any one of claims 1-4.
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