Jurnal Minfo Polgan (JMP)
Vol. 12 No. 2 (2023): Artikel Penelitian 2023

OPTIMALISASI SISTEM INFORMASI KESEHATAN DALAM PENGELOLAAN DATA MATERNAL DAN NEONATAL

Purba, Yeni Trisna (Unknown)
Sinaga, Arthauly Gracia (Unknown)
Simbolon, Putri Handayani (Unknown)



Article Info

Publish Date
26 Sep 2023

Abstract

Accurate, complete, and real-time maternal and neonatal data is an essential foundation for policy planning, clinical decision-making, program monitoring, and evaluation of maternal and neonatal health outcomes. Health Information Systems (HIS) have significant potential to transform the way these data are managed, from error-prone manual recording to efficient, integrated systems. This literature review aims to explore strategies for optimizing HIS in maternal and neonatal data management, identifying existing challenges, potential benefits, and best approaches for implementation and maintenance. The review indicates that integrated and user-friendly HIS can improve data quality, reduce duplication, accelerate reporting, support evidence-based decision-making, and facilitate epidemiological surveillance. Key challenges include system interoperability, the digital divide, user resistance, and the need for ongoing training. Optimizing HIS requires political commitment, infrastructure investment, and human resource capacity development.

Copyrights © 2023






Journal Info

Abbrev

jmp

Publisher

Subject

Computer Science & IT Library & Information Science Mathematics Social Sciences

Description

Jurnal Minfo Polgan (JMP) merupakan jurnal nasional yang diterbitkan oleh Program Studi Manajemen Informatika Politeknik Ganesha Medan terbit berkala (satu tahun dua kali yaitu Maret dan September) dengan tujuan untuk menyebarluaskan hasil riset bidang teknologi dan informasi kepada para akademisi, ...