Interactive Journal of Medical Research · 7 authors, 5 centres
This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.
This narrative review identified approximately 50 digital health technologies developed or adapted in Indonesia during the COVID-19 pandemic, spanning big data and AI, health care system platforms, and individual-level screening and treatment tools. The majority resulted from multisectoral government-academia-private sector collaborations and represent the largest introduction of digital technologies within the Indonesian health care ecosystem.
A literature review of publicly accessible technical journals, scientific publications, and news articles from September 2020 to August 2022 was conducted using a PRISMA-based systematic approach to identify digital health technologies used for COVID-19 detection and response in Indonesia. Technologies were grouped into three categories: big data/artificial intelligence/machine learning, health care system technologies, and individual-level screening, treatment, and prevention tools. Approximately 50 different technologies were identified, with the majority being multisectoral collaborations and a small number predating the pandemic but adapted for COVID-19. Limitations include a limited number of published papers on implementation, difficulty estimating readiness of robotic technologies, prevalence of Indonesian-language sources limiting international comparability, and incomplete data on app installation and usage rates across the population.
