Method for carrying out DRGs grouping on medical record data
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A data and medical record technology, applied in the field of DRGs grouping of medical record data, to control unreasonable rises, reduce operating costs, and improve accuracy
Inactive Publication Date: 2020-01-31
上海金仕达卫宁软件科技有限公司
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[0004] The object of the present invention is to provide a kind of method that medical record data is carried out DRGs grouping,
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Embodiment 1
[0050] like figure 1 As shown, the present invention discloses a method for carrying out DRGs grouping to medical record data, comprising the following steps:
[0051] S1: Verification step: verify the data according to the first page unit of the medical record, and eliminate the data that does not meet the grouping requirements.
[0052] S2: New technology declaration grouping step: judge whether the grouped data conforms to the ICD-9-CM3 operation and operation coding information, if so, classify it into the Pre-new technology declaration group, and if not, enter the next step of classification .
[0053] S3: Judging whether any code of operation and treatment method matches the MDCA group information; if it matches, enter the MDCA group; if it does not match, enter the next step of classification;
[0054] S4: Judging age or discharge diagnosis, if age ≤ 1; if it meets, enter the next step of classification; if not, check the registration information again and correct the...
Embodiment 2
[0067] S1: Judging whether any code of the operation and treatment method matches the MDCA group information; if it matches, enter the MDCA group; if it does not match, enter the next step of classification;
[0068] S2: Judging age or discharge diagnosis, if age ≤ 1; if it meets, enter the next step of classification; if not, conduct inspection and correct diagnosis;
[0069] S3: Screen out the data that conforms to the MDCP disease coding information, and divide into the MDCP group;
[0070] S4: divide the data of the MDCA group and the MDCP group into the corresponding first-level ADRGs group according to the operation and operation code;
[0071] S5: According to clinical knowledge, the obtained first-level ADRGs group is merged to obtain the second-level ADRGs group.
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Abstract
The invention provides a method for carrying out DRGs grouping on medical record data. The method comprises the following steps: judging whether any code of an operation and treatment mode is matchedwith MDCA group information or not: if so, entering an MDCA group, or else, entering the next step of classification; judging age or out-of-hospital diagnosis: if age is less than or equal to 1 and ifyes, entering the next step of classification, or else, performing checking and correcting diagnosis; screening out data conforming to the MDCP disease encoding information, and classifying the datainto an MDCP group; dividing the data of the MDCA group and the MDCP group into corresponding first-stage ADRGs groups according to the operation and operation codes; and combining the obtained first-stage ADRGs groups according to clinical knowledge to obtain a second-stage ADRGs group class. According to the method, the accuracy of the processed data is greatly improved, and subsequent secondaryclassification through an algorithm is facilitated; the grouping scheme is more flexible, the problem of current Chinese medical record home page data quality is fully considered, and the formed grouping scheme better meets related requirements of prefecture and municipal medical insurance bureau and is more suitable for prefecture and municipal medical current situations.
Description
technical field [0001] The invention relates to the field of medical system grouping methods, in particular to a method for grouping DRGs of medical record data. Background technique [0002] At present, the domestic DRGs grouping scheme is CN-DRG developed by the Beijing Public Health Information Center, which has "ICD-10 Clinical Edition" and "ICD-9-CM3 Clinical Edition" as the standard, according to the patient's age, gender, hospitalization, etc. Factors such as number of days, clinical diagnosis, symptoms, surgery, severity of disease, comorbidities and complications, and other resource consumption classify patients into diagnostically relevant groups. The quality of the existing homepage data of Chinese medical records is not high; its grouping scheme has many errors, and the formed grouping scheme does not meet the relevant requirements of the prefectural and municipal medical insurance bureaus, and is not suitable for the current medical conditions in prefectures and...
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