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Analisis Faktor Resiko Mortalitas Covid 19 Deli Mutiara Siregar; Eunice Kristia Sipayung
INSOLOGI: Jurnal Sains dan Teknologi Vol. 3 No. 1 (2024): Februari 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v3i1.2690

Abstract

Medical records are a source of data for hospitals that can be processed into statistics. Mortality statistics are included in health service statistics that are useful in efforts to maintain hospital quality. (Anggryani, 2021) Death or mortality is one of the three components of the demographic process that affect population structure. Thehigh mortality rate of the population in an area not only affects population growth, but is also a barometer of the high and low level of public health in the area. Mortality or death can happen to anyone, old, young, anytime and anywhere. Cases of death, especially in large numbers, are related to social, economic, customary, and environmental health problems. Death indicators are useful for monitoring the performance of central and local governments in improving community welfare. SARS-CoV-2 can affect anyone and cause different symptoms or severity, but individuals over the age of 60 with comorbidities such as diabetes, chronic respiratory disease, and cardiovascular disease are at higher risk of infection. The method in this article is Systematic review, where this article is done with a data set technique to review journals, literature searches, notes and reports related to articles. This systematic process of review is also used to collect data. Heart disease is significantly associated with an increased risk of death from COVID-19 patients.
Hubungan Kelengkapan Rekam Medis Elektronik Dengan Keakuratan Kode Diagnosis Fraktur Di RSUP H. Adam Malik Medan Tahun 2026 Eunice Kristia Sipayung; Arjuna Ginting; Pestaria Saragih
Jurnal Praba : Jurnal Rumpun Kesehatan Umum Vol. 4 No. 3 (2026): September : Jurnal Praba : Jurnal Rumpun Kesehatan Umum
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/praba.v4i3.969

Abstract

The accuracy of the fracture diagnosis code is the accuracy of the determination of the code according to the ICD-10 guidelines based on medical record data. The accuracy of coding is related to the completeness of electronic medical records which include identity, anamnesis, physical examination, supporting examinations, and diagnosis. Incompleteness of data can cause coding errors and have an impact on the quality of services, hospital data processing, and financing claims. This study aims to identify the relationship between the accuracy of the fracture diagnosis code and the completeness of electronic medical records at H. Adam Malik Hospital Medan in 2026. The study uses an analytical design with a cross sectional approach. The population is 981 medical records of fracture patients in 2025, with a sample of 87 medical records using simple random sampling. Data was collected through observation sheets and checklists, then analyzed using the chi-square test. Results showed that 75 medical records (86.2%) had accurate codes and 83 (95.4%) complete medical records. The chi-square test yielded a p-value of 0.008 (p<0.05), indicating a significant relationship between the accuracy of the fracture diagnosis code and the completeness of electronic medical records.