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Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)

Correlation Between Reselection Rule Main Diagnosis and Accuracy Code Linda Widyaningrum; Lutviana Devi
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.539 KB) | DOI: 10.47701/icohetech.v1i1.750

Abstract

The diagnosis code has a very important role in making policies for health care providers. This study is an analytical study with a cross sectional approach. The method used is observation, interview and check list. The study sample was 81 out of 431 inpatient medical record documents. and sampling technique with systematic random sampling from. Data analysis uses univariate and bivariate with Fisher's. The percentage of accuracy of reselection rules shows 64% accuracy (52 documents) and inaccurate is 36% (29 documents). The percentage of accuracy of reselection rules is 69 documents with a percentage of 85% and 12 documents incorrect with a percentage of 15%. The results of the Fisher's statistical calculation show no corelation to the primary diagnosis based on reselection rules with the accuracy of the diagnosis code based on ICD-10 (p = 0.529).
Accuracy Code Cronic Obstructive Pulmonary Desease Linda Widyaningrum; Astri Sri Wariyanti; Sauha Lulumanin; Lutfi Maratin
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.822 KB) | DOI: 10.47701/icohetech.v1i1.1070

Abstract

Chronic Obstructive Pulmonary Disease is inflammation of the lungs that develops over a long period of time. This study determine the level of accuracy of the diagnosis code for Chronic Obstructive Pulmonary Disease. This research is a descriptive study, with a retrospective approach. Saturated samples were 100 cases of Chronic Obstructive Pulmonary Disease using nonprobability sampling technique. The research instruments were ICD-10, checklist, observation guide, interview guide, calculator and voice recorder. Data processing by editing, coding, data entry, tabulating, and presenting data. The analysis was carried out descriptively. The percentage of diagnosis code accuracy of Chronic Obstructive Pulmonary Disease is 60% and code inaccuracy is 40%. The code inaccuracy is 40 medical records of 100 documents. Factors that affect the accuracy of the diagnosis code are medical personnel (doctors), medical record officers as coders, and other health workers. The author suggests that more emphasis should be placed on doctors to clarify the writing of a diagnosis and use medical terminology for disease diagnosis in order to make it easier for coding officers to provide disease codes and affect the accuracy of patient disease codes, the officers should be more careful and careful during the disease coding process. So that there are no more medical record files that are not coded so that the resulting code is accurate, and coding officers should be more careful during the process of giving the diagnosis code so that there are no more inaccurate medical record files due to incorrect coding.
THE Identification Pending Claim of Healthcare and Social Security Agency Insurance at Nirmala Suri Hospital. Linda Widyaningrum; Warsi Maryati; Rizki Nurul Wulandari
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.308 KB) | DOI: 10.47701/icohetech.v3i1.2251

Abstract

A pending claim is a claim that is returned by the BPJS (Social Security Administering Agency) Health verifier to the hospital for revision which can later be resubmitted. This study aims to determine the causes of pending BPJS claims for inpatients at Nirmala Suri Sukoharjo Hospital in 2020. This study is a descriptive study, with a retrospective approach. Samples of 685 claims are pending with the saturated sample technique. The research instrument was in the form of observation guidelines and interview guidelines. Data processing with classification, editing, and presentation of data in text form. Data processing with data analysis is done descriptively. The implementation of BPJS patient claims at the Nirmala Suri Sukoharjo Hospital has been implemented and has implemented the existing SPO (Standard Operating Procedures). There are 14 classifications of pending BPJS claims for inpatients at Nirmala Suri Sukoharjo Hospital. The causes of pending BPJS claims for inpatients at the Nirmala Suri Sukoharjo Hospital in 2020 include: completeness of medical record documents, clarity of doctor's writing, and application system updates. Coordinate with related units such as medical records and registration units, inpatient installations, emergency units, cashier units, and pharmacy installations regarding matters that affect pending claims so that they do not happen again. It is better if the coder requires updating the latest knowledge and rules related to coding rules or BPJS Health rules and it takes the accuracy of the coder and grouper in the coding and input process