Cargando…

The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study

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. OBJEC...

Descripción completa

Detalles Bibliográficos
Autores principales: Nur Aisyah, Dewi, Lokopessy, Alfiano Fawwaz, Naman, Maryan, Diva, Haniena, Manikam, Logan, Adisasmito, Wiku, Kozlakidis, Zisis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012204/
https://www.ncbi.nlm.nih.gov/pubmed/36623206
http://dx.doi.org/10.2196/41308
_version_ 1784906567926153216
author Nur Aisyah, Dewi
Lokopessy, Alfiano Fawwaz
Naman, Maryan
Diva, Haniena
Manikam, Logan
Adisasmito, Wiku
Kozlakidis, Zisis
author_facet Nur Aisyah, Dewi
Lokopessy, Alfiano Fawwaz
Naman, Maryan
Diva, Haniena
Manikam, Logan
Adisasmito, Wiku
Kozlakidis, Zisis
author_sort Nur Aisyah, Dewi
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10012204
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-100122042023-03-15 The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study Nur Aisyah, Dewi Lokopessy, Alfiano Fawwaz Naman, Maryan Diva, Haniena Manikam, Logan Adisasmito, Wiku Kozlakidis, Zisis Interact J Med Res Original Paper 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. JMIR Publications 2023-02-28 /pmc/articles/PMC10012204/ /pubmed/36623206 http://dx.doi.org/10.2196/41308 Text en ©Dewi Nur Aisyah, Alfiano Fawwaz Lokopessy, Maryan Naman, Haniena Diva, Logan Manikam, Wiku Adisasmito, Zisis Kozlakidis. Originally published in the Interactive Journal of Medical Research (https://www.i-jmr.org/), 28.02.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Interactive Journal of Medical Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.i-jmr.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Nur Aisyah, Dewi
Lokopessy, Alfiano Fawwaz
Naman, Maryan
Diva, Haniena
Manikam, Logan
Adisasmito, Wiku
Kozlakidis, Zisis
The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study
title The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study
title_full The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study
title_fullStr The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study
title_full_unstemmed The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study
title_short The Use of Digital Technology for COVID-19 Detection and Response Management in Indonesia: Mixed Methods Study
title_sort use of digital technology for covid-19 detection and response management in indonesia: mixed methods study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012204/
https://www.ncbi.nlm.nih.gov/pubmed/36623206
http://dx.doi.org/10.2196/41308
work_keys_str_mv AT nuraisyahdewi theuseofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT lokopessyalfianofawwaz theuseofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT namanmaryan theuseofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT divahaniena theuseofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT manikamlogan theuseofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT adisasmitowiku theuseofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT kozlakidiszisis theuseofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT nuraisyahdewi useofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT lokopessyalfianofawwaz useofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT namanmaryan useofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT divahaniena useofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT manikamlogan useofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT adisasmitowiku useofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy
AT kozlakidiszisis useofdigitaltechnologyforcovid19detectionandresponsemanagementinindonesiamixedmethodsstudy