Data processing method of traditional Chinese medicine clinical skill evaluation system based on big data analysis
A data processing and big data technology, applied in the field of data processing of TCM clinical skills evaluation system, can solve problems such as unfavorable resources and information sharing, inconvenient comparison between TCM doctors and hospitals, inability to analyze doctors' clinical skills conveniently and accurately, etc.
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Embodiment 1
[0048] like figure 1 As shown, the data processing method of the TCM clinical skills evaluation system based on big data analysis disclosed by the present invention comprises the following steps:
[0049] a. Obtain clinical electronic medical record data; in this embodiment, clinical electronic medical record data generally refers to the collection of all medical information systems of the hospital, including HIS, doctor's report, doctor's order, laboratory and other systems. The most important component of data. In the information system, the clinical case data of the hospital is processed in the form of xml files, which provides a unified and convenient upload interface, supports real-time file processing status query, upload batch management, and problem data rollback, and is compatible with other data format processing and interfaces square. At present, some hospitals are already using data collection platforms that can collect clinical electronic medical record data.
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Embodiment 2
[0075] According to the weight of the evaluation index (Table 1), this embodiment introduces the algorithm of each index score in detail.
[0076] Table 1: Proportion of indicators in the digital evaluation system of TCM clinical skills
[0077]
[0078] The big data analysis algorithm in this embodiment is as follows:
[0079] 1. Calculate the clinical curative effect (full score: 30 points): 10 points for the favorable rate of patients, 10 points for symptom improvement, 5 points for return visit rate, and 5 points for visit rate.
[0080] 1.1 Algorithm for the score of patients' favorable rate, as shown in Table 2:
[0081] Table 2: Score Algorithm for Patient Favorable Ratio
[0082] serial number
condition
1
Good rate ≥ 90%
10 points
2
70% ≤ favorable rate < 90%
8 points
3
50% ≤ favorable rate < 70%
6 points
4
30% ≤ favorable rate < 50%
4 points
5
10% ≤ favorable rate <...
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