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All Journal Jurnal Manajemen Karya Kesehatan Siwalima
Pasaribu, Angelia
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Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Health Professions Medicine & Pharmacology Nursing Public Health

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Tingkat Pengetahuan dan Pemahaman Mahasiwa Dalam Menggunakan Aplikasi SPSS Untuk Mata Kuliah Biostatistik Pasaribu, Angelia; Jetslin Simbolon
MAMEN: Jurnal Manajemen Vol. 1 No. 3 (2022): Juli 2022
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/mamen.v1i3.654

Abstract

Biostatistics is the application of statistics in the field of Medical Records and Health Information (RMIK). Data used as accurate information material is usually taken from raw data that has been processed and then presented as statistics in the form of tables and graphs or other forms of reports. Data presentation is an activity that collects various information and is then compiled, thus providing conclusions and taking actions.This study aims to help determine the level of knowledge of students of the Health information management study program in analyzing and testing data using the SPSS application at the STIKes Santa Elisabeth Medan campus. The population used is all students of the Health Information Management study program level 1 with a total sample of 9 people. This type of research is a descriptive study whose purpose is to present the picture to be studied. The instrument used is a questionnaire. Analyze data descriptively.
An Overview of Electronic Medical Record Completeness in the Management of Fracture Patients Ginting, Arjuna; Boris, Jey; Pasaribu, Angelia
Karya Kesehatan Siwalima Vol 4, No 2 (2025): September
Publisher : Lembaga Penerbitan Fakultas Kesehatan, Universitas Kristen Indonesia Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54639/kks.v4i2.1651

Abstract

Medical records are comprehensive documents that provide detailed information throughout a patient’s hospitalization. The quality of a medical record is determined by its accuracy, completeness, validity, and timeliness. This study aimed to evaluate the completeness of electronic medical records for fracture patients at Santa Elisabeth Hospital, Medan. Samples were selected using simple random sampling and Slovin’s formula. Data analysis focused on patient identity sheets, anamnesis, informed consent forms, and medical resumes. The review of medical record completeness from January to December 2024 revealed 100% completeness for patient identity sheets, 90.8% for anamnesis, and 98.7% for medical resumes. In contrast, informed consent forms had a notably low completeness rate of only 19.7%, particularly in sections requiring patient or family signatures and administrative authorization. These findings highlight the need for targeted improvements, especially in completing informed consent forms, to meet the standards for optimal medical record quality.
Co-Authors Arjuna Ginting, Arjuna Boris, Jey Jetslin Simbolon