Techno-Economic and Regulation Analysis Related to Health Tech in Indonesia

Health is a fundamental aspect of human life, and technological advancements have revolutionized the healthcare sector. In Indonesia, the Health Technology (Health Tech) sector has shown rapid growth, offering opportunities to improve healthcare accessibility and efficiency. This study analyzes the techno-economic and regulatory aspects of Health Tech in Indonesia, addressing the challenges of balancing innovation with patient data protection and rights. However, the development of Health Tech also requires significant investment in infrastructure and workforce training. The technological analysis demonstrates robust network performance with Quality of Service (QoS) metrics showing a delay of 2.4415 seconds (categorized as “very good”), jitter of 2.4808 seconds (“good”), and throughput of 2.580 Mbps (“good”). Economically, the business is viable with an NPV of Rp 2,798,289,898.85, an IRR of 24%, a Payback Period of 7 years, and a PI of 1.63. However, regulatory challenges remain critical, with a lack of comprehensive frameworks governing data security and application interoperability. This study recommends stricter regulations to ensure patient data protection and calls for collaborative efforts between the government, private sector, and civil society. Future research should focus on addressing scalability and public awareness to maximize Health Tech's impact, especially in underserved regions.

Authors

Institutions

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicyta64807.2024.10913034
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Techno-Economic and Regulation Analysis Related to Health Tech in Indonesia

Sofia Naning Hertiana, Miftadi Sudjai, M. Fajar Zulvan Zugraha
Biomedical and Engineering Education
article

Techno-Economic and Regulation Analysis Related to Health Tech in Indonesia

Sofia Naning Hertiana, Miftadi Sudjai, M. Fajar Zulvan Zugraha
article en

Abstract

Health is a fundamental aspect of human life, and technological advancements have revolutionized the healthcare sector. In Indonesia, the Health Technology (Health Tech) sector has shown rapid growth, offering opportunities to improve healthcare accessibility and efficiency. This study analyzes the techno-economic and regulatory aspects of Health Tech in Indonesia, addressing the challenges of balancing innovation with patient data protection and rights. However, the development of Health Tech also requires significant investment in infrastructure and workforce training. The technological analysis demonstrates robust network performance with Quality of Service (QoS) metrics showing a delay of 2.4415 seconds (categorized as “very good”), jitter of 2.4808 seconds (“good”), and throughput of 2.580 Mbps (“good”). Economically, the business is viable with an NPV of Rp 2,798,289,898.85, an IRR of 24%, a Payback Period of 7 years, and a PI of 1.63. However, regulatory challenges remain critical, with a lack of comprehensive frameworks governing data security and application interoperability. This study recommends stricter regulations to ensure patient data protection and calls for collaborative efforts between the government, private sector, and civil society. Future research should focus on addressing scalability and public awareness to maximize Health Tech's impact, especially in underserved regions.

Telkom University (ID)
Decent work and economic growth
Openalex Percentile: Top 75%
Biomedical and Engineering Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.