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ANALISIS ANGKA KEJADIAN READMISSION KASUS SKIZOFRENIA HARJANTI -; Lieska Wulandari
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (182.327 KB) | DOI: 10.33560/.v6i2.203

Abstract

Based on a preliminary survey in RSJD dr. Arif Zainudin Surakarta, schizophrenia is one of top 10 diseases and the number of its readmission in 2015 as much as 1296 patients. This type of this research is descriptive research with retrospective approach. The writer did this research in dr. Arif Zainudin Regional Mental Hospital Surakarta on November until December 2017. The populations of this research are all patients of schizophrenia readmission. Subyek of the medical recorderof the analising reporting and the object used is the monthly report book hospitalized. The writer uses observation and unstructured interview to collect the data. The dwarfs used are processing collecting, editing, presentation of data, and descriptive analysis as the data analysis. The results of this research is the number of schizophrenia patients are 2046 patients, 56% or 1136 patients are schizophrenia readmission. Based on the sex of the patient, male is more frequently experienced of readmission, it is 71%. Based on the age of the patient, it is most occur in the young adult age, it is 37%, and based on the types of schizophrenia, the most is schizophrenia unspecified, it is 47%. One of the schizophrenia readmission factors is the role of themselves and their family in the healing process. The conclusion of this research is; the highest readmission case is schizophrenia. It is recommended to increase the socialization to the patient and their family about the treatment of the patient. For quality improvement, medical officers may also provide the additional control schedules to the special patients (based on time of back, sex, age, and type of schizophrenia), so it can prevent the readmission
STRATEGI KEAKURATAN KODE DIAGNOSIS BERDASARKAN METODE SWOT HARJANTI -; Nandani Kusuma Ningtyas
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 1 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i1.186

Abstract

Based on secondary data it can be seen that the average inaccuracy of the diagnosis code is 34.51%. The causes of inaccuracies of diagnostic codes include officers not using volume 1, the error of block determination, no review of completeness of supporting information. The purpose of this research is to determine the accuracy of diagnosis code based on SWOT method. Type of study of literature study. Secondary data source. Collecting data by collecting research literature on the causes of inaccuracies of diagnostic codes. Analysis of SWOT space matrix data. The result of the research is the SO strategy is to send the coding officer to join the training, using icd-10 latest version. WO strategy is a learning task for employees with graduates, recruitment of employees to reduce the workload of employees. ST strategy is a mistake in making reporting, implementation of health insurance system (JKN), inaccuracy in decision making. The WT strategy is to evaluate the reporting results, coding in accordance with WHO rules. The recommended strategy conclusion is SO strategy by sending Medical Record officer to attend training
Co-Authors Lieska Wulandari Nandani Kusuma Ningtyas