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
Highlights
Berdasarkan data sekunder dapat diketahui bahwa rata-rata ketidakakuratan kode diagnosis yaitu 34,51%
Based on secondary data it can be seen that the average inaccuracy of the diagnosis code is 34.51%
The purpose of this research is to determine the accuracy of diagnosis code based on SWOT method
Summary
Pencarian literatur dilakukan melalui buku, hasil penelitian, jurnal penelitian. Kata kunci yang digunakan dalam pencarian literatur yaitu tentang keakuratan kode diagnosis. Sumber data dalam penelitian menggunakan data sekunder. Pengumpulan data dengan mencari literatur dari berbagai hasil penelitian tentang faktor penyebab ketidakakuratan kode diagnosis. Hasil pengumpulan data diklasifikasikan dalam format tabel Strength, Weaknes, Opportunity, Threath (SWOT) yang bertujuan untuk memudahkan proses analisis data. Pada penelitian ini menggunakan anallisis data matrik space SWOT yaitu dengan mengklasifikasikan data menjadi internal factor analysis summary (IFAS) atau analisis faktor strategi internal dan Ekternal factor analysis summary (EFAS) atau analisis faktor strategi eksternal. Pengkalsifikasian ini dimaksudkan untuk menentukan strategi yang paling sesuai dengan menggali faktor internal dan eksternal penyebab ketidak akuratan kode diagnosis
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