Panjie Yang1,*,#, Gang Liu2,#, Xiaoyu Li1,*, Liyuan Qin1, Xiaoxia Liu3
Journal of New Media, Vol.2, No.3, pp. 111-119, 2020, DOI:10.32604/jnm.2020.010135
- 04 September 2020
Abstract In order to solve the problems of low efficiency and heavy workload of
tumor coding in hospitals, we proposed a Drools-based intelligent tumors coding
method. At present, most tumor hospitals use manual coding, the trained coders
follow the main diagnosis selection rules to select the main diagnosis from the
discharge diagnosis of the tumor patients, and then code all the discharge
diagnoses according to the coding rules. Owing to different coders have different
familiarity with the main diagnosis selection rules and ICD-10 disease coding, it
will reduce the efficiency of the artificial coding results and… More >
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