{"title":"Factors That Affect Coding Quality Clinical Neoplasm Case for BPJS Claims at \"Dharmais\" Cancer Hospital","authors":"S. Rohani, W. Qomarania, Mieke Nurmalasari","doi":"10.5220/0009589102100214","DOIUrl":null,"url":null,"abstract":": The diagnosis code has a very important role for health care providers as a basis for making statisticsto find out trends in disease and is the basis for determining the cost of health services. Accurate diagnosis codes are very important because inaccuracies in the diagnosis code can slow the process of claiming JKN or BPJS because they have to be revised first. In 2018 at “Dharmais” Hospital the pending outpatient file is 2782 (2%), while the pending file is hospitalized as many as 58 files (1.5%). The purpose of this study was to analyze the influence of knowledge, attitudes and clinical coder training with the quality of clinical coding of the Neoplasm Case for BPJS claims. The study design used is cross-sectional with 14 respondents (total population). The results with multiple linear regression analysis, there was an influence between the knowledge and attitudes of clinical coders on the quality of clinical coding (p-value = 0.013). The regression equation formed is Clinical Coding Quality = -94,664 + 8,360 (Knowledge) + 4,490 (Attitude). Knowledge is the biggest influence on the quality ofclinicalcoding.","PeriodicalId":179648,"journal":{"name":"Proceedings of the 1st International Conference on Health","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Conference on Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0009589102100214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: The diagnosis code has a very important role for health care providers as a basis for making statisticsto find out trends in disease and is the basis for determining the cost of health services. Accurate diagnosis codes are very important because inaccuracies in the diagnosis code can slow the process of claiming JKN or BPJS because they have to be revised first. In 2018 at “Dharmais” Hospital the pending outpatient file is 2782 (2%), while the pending file is hospitalized as many as 58 files (1.5%). The purpose of this study was to analyze the influence of knowledge, attitudes and clinical coder training with the quality of clinical coding of the Neoplasm Case for BPJS claims. The study design used is cross-sectional with 14 respondents (total population). The results with multiple linear regression analysis, there was an influence between the knowledge and attitudes of clinical coders on the quality of clinical coding (p-value = 0.013). The regression equation formed is Clinical Coding Quality = -94,664 + 8,360 (Knowledge) + 4,490 (Attitude). Knowledge is the biggest influence on the quality ofclinicalcoding.