Nur Aisyah D, Lokopessy AF, Naman M, Diva H, Manikam L, Adisasmito W, Kozlakidis Z. The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study.
Interact J Med Res 2023;
12:e41308. [PMID:
36623206 PMCID:
PMC10012204 DOI:
10.2196/41308]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/02/2022] [Accepted: 01/09/2023] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND
The COVID-19 pandemic has triggered a greater use of digital technologies as part of the health care response in many countries, including Indonesia. It is the world's fourth-most populous nation and Southeast Asia's most populous country, with considerable public health pressures.
OBJECTIVE
The aim of our study is to identify and review the use of digital health technologies in COVID-19 detection and response management in Indonesia.
METHODS
We conducted a literature review of publicly accessible information in technical and scientific journals, as well as news articles from September 2020 to August 2022 to identify the use case examples of digital technologies in COVID-19 detection and response management in Indonesia.
RESULTS
The results are presented in 3 groups, namely (1) big data, artificial intelligence, and machine learning (technologies for the collection or processing of data); (2) health care system technologies (acting at the public health level); and (3) COVID-19 screening, population treatment, and prevention population treatment (acting at the individual patient level). Some of these technologies are the result of government-academia-private sector collaborations during the pandemic, which represent a novel, multisectoral practice in Indonesia within the public health care ecosystem. A small number of the identified technologies pre-existed the pandemic but were upgraded and adapted for current needs.
CONCLUSIONS
Digital technologies were developed in Indonesia during the pandemic, with a direct impact on supporting COVID-19 management, detection, response, and treatment. They addressed different areas of the technological spectrum and with different levels of adoption, ranging from local to regional to national. The indirect impact of this wave of technological creation and use is a strong foundation for fostering future multisectoral collaboration within the national health care system of Indonesia.
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