Claim Missing Document
Check
Articles

Found 2 Documents
Search

Literature Review: Analisis Dampak Kebijakan Privasi Terhadap Pengelolaan Rekam Medis Elektronik di Rumah Sakit Adelia Putri Andini; Inge Dhamanti
Pro Health Jurnal Ilmiah Kesehatan Vol. 8 No. 2 (2026): Vol. 8 No. 2 (2026): Pro Health Jurnal Ilmiah Kesehatan, July 2026
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRAK Transformasi digital kesehatan melalui implementasi Rekam Medis Elektronik (RME) meningkatkan kebutuhan akan kebijakan privasi untuk melindungi keamanan dan kerahasiaan data pasien. Penelitian ini bertujuan mengevaluasi dampak kebijakan privasi terhadap pengelolaan rekam medis elektronik di rumah sakit melalui systematic literature review. Penelitian dilakukan mengikuti pedoman Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Pencarian artikel dilakukan pada database PubMed dan Google Scholar menggunakan kerangka Population, Intervention, Comparison, Outcome (PICO). Berdasarkan proses seleksi, diperoleh enam artikel yang memenuhi kriteria inklusi. Hasil sintesis menunjukkan bahwa kebijakan privasi berperan dalam meningkatkan keamanan dan kerahasiaan data pasien, memperkuat pengendalian akses, serta mendukung tata kelola informasi kesehatan. Efektivitas implementasi kebijakan dipengaruhi oleh kepatuhan tenaga kesehatan, tata kelola organisasi, dan pemanfaatan teknologi keamanan informasi. Oleh karena itu, penguatan implementasi kebijakan privasi diperlukan melalui peningkatan kapasitas sumber daya manusia, tata kelola organisasi, dan teknologi keamanan informasi guna mendukung pengelolaan rekam medis elektronik yang aman, efektif, dan berkelanjutan.   Kata kunci: Kebijakan Privasi, Rekam Medis Elektronik, Rumah Sakit   ABSTRACT The digital transformation of healthcare through the implementation of Electronic Medical Records (EMRs) has increased the need for privacy policies to protect the security and confidentiality of patient data. This study aimed to evaluate the impact of privacy policies on electronic medical record management in hospitals through a systematic literature review. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles were identified from the PubMed and Google Scholar databases using the Population, Intervention, Comparison, Outcome (PICO) framework. Following the selection process, six articles met the inclusion criteria and were included in the review. The findings showed that privacy policies played an important role in improving data security and confidentiality, strengthening access control, and supporting health information governance. The effectiveness of policy implementation was influenced by healthcare workers' compliance, organizational governance, and information security technologies. Therefore, strengthening privacy policy implementation through improved human resource capacity, organizational governance, and information security technologies is essential to support secure, effective, and sustainable electronic medical record management.   Keywords: Privacy Policy, Electronic Medical Records, Hospitals
Comparative Analysis of Parametric and Nonparametric Methods in Modeling Under-Five Malnutrition Prevalence Across Indonesia Dita Amelia; Suliyanto; Adelia Putri Andini; Faya Najwatus Silma; Nafla Nara Yonay; Slavina; Dinnara Chairana Aisha
UNP Journal of Statistics and Data Science Vol. 4 No. 3 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss3/554

Abstract

Malnutrition prevalence among children under five in Indonesia varied widely across provinces in 2024, ranging from 8.70% to 37.00%. Addressing this issue supports the global Sustainable Development Goals (SDGs) agenda, particularly SDG 2 (Zero Hunger) and SDG 3 (Good Health and Well-being). While most studies rely on multiple linear regression, its strict assumption of linearity is often violated in practice. This study conducts a comparative analysis between multiple linear regression and nonparametric penalized spline regression to model the effects of professional-assisted deliveries, safe sanitation access, complete basic immunization, and households at risk of stunting across 36 Indonesian provinces. Cross-sectional data for 2024 from the Central Bureau of Statistics (BPS) were analyzed, using MSE, R², and GCV for model comparison. The multiple linear regression model yielded an MSE of 18.812 and an R²  of 53.03%. Conversely, the penalized spline model (second-order polynomial, three knot points, λ = 0.0004) achieved a substantially lower MSE of 2.653 and a higher R² of 92.31%, demonstrating its superior capability in capturing nonlinear patterns. Regarding predictor significance, both models consistently identified safe sanitation, complete basic immunization, and households at risk of stunting as influential factors. However, professional assisted deliveries showed no significant effect in the nonparametric model. These findings confirm that the penalized spline approach provides more accurate estimates and is better suited for modeling provincial level malnutrition determinants.