Peran Digital Health untuk Manajemen Penanganan Pandemi COVID-19 di Indonesia: Systematic Literature Review

Rika Andriani, Fahmi Hakam

Abstract


Abstract

The use of digital health increased in the COVID-19 pandemic. Various digital health technologies were used to help control the pandemic in this world. The main objective of this review is to explore the role of digital health technologies in managing and controlling the COVID-19 pandemic in Indonesia. A systematic literature review was conducted on three databases: Google Scholar, Google, and Garuda. This review found that digital health technologies were used in the main and supporting role in managing the COVID-19 pandemic. The main roles were contact tracing, surveillance, case management, laboratory data management, and early detection. The supporting roles were patient data management, knowledge related to COVID-19, teleconsultation, electronic medical records, and population mobility monitoring. It is recommended to have developed standards for digital health technologies and strengthen the collaboration among application developers.

Keywords: COVID-19, digital health, eHealth, mHealth, health technology

 

  

Abstrak

Penggunaan digital health meningkat pada situasi pandemi COVID-19. Berbagai teknologi digital health digunakan untuk membantu manajemen penanganan pandemi di berbagai negara. Artikel ini bertujuan mengeksplorasi peran digital health  dalam manajemen penanganan pandemi COVID-19 di Indonesia. Systematic literature review dilakukan pada tiga database, yaitu Google Scholar, Google, dan Garuda. Hasil review menemukan teknologi digital health yang digunakan di Indonesia memiliki dua jenis peran yaitu peran utama dan peran pendukung. Peran utama meliputi pelacakan kontak, surveilans, manajemen kasus, manajemen data laboratorium, dan deteksi dini. Peran pendukung meliputi manajemen data pasien, pemberian informasi COVID-19, telekonsultasi, rekam medis elektronik, dan pemantauan mobilitas penduduk. Untuk pengembangan aplikasi digital health direkomendasikan untuk memiliki standar pengembangan digital health dan memperkuat kerjasama antarpengembang aplikasi.

Kata kunci: COVID-19, digital health, eHealth, mHealth, teknologi kesehatan


Keywords


COVID-19; digital health; eHealth; mHealth; teknologi kesehatan

Full Text:

PDF

References


WHO. WHO Guideline: Recommendations on Digital Interventions for Health System Strengthening. Geneva: WHO; 2019.

WHO. Use of Digital Health Tools in Europe Before, During and After COVID-19. Geneva; 2021.

ITU. Measuring the Information Society Report 2017 Executive Summary. Int Telecommun Union [Internet]. 2017;1–6. Available from: http://www.itu.int/en/ITU-D/Statistics/Documents/publications/mis2014/MIS2014_without_Annex_4.pdf

Nachega JB, Leisegang R, Kallay O, Mills EJ, Zumla A, Lester RT. Mobile Health Technology for Enhancing the COVID-19 Response in Africa: A Potential Game Changer? Am J Trop Med Hyg. 2020;103(1):3–5.

Kondylakis H, Katehakis DG, Kouroubali A, Logothetidis F, Triantafyllidis A, Kalamaras I, et al. COVID-19 Mobile apps: A systematic review of the literature. J Med Internet Res. 2020;22(12).

Kalhori SRN, Bahaadinbeigy K, Deldar K, Gholamzadeh M, Hajesmaeel-Gohari S, Ayyoubzadeh SM. Digital Health Solutions to Control the COVID-19 Pandemic in Countries with High Disease Prevalence: A literature review. J Med Internet Res. 2021;23(3):1–12.

Sitompul TH, Meilani P, Salsabila S, Hariwangi LL. SILACAK : Bagaimana Penggunaan Aplikasi Pelacakan Kasus Kontak Erat COVID-19 di Indonesia. 2021;9(2):127–37.

Setyawan EA, Silvia, Faiza NN, Prabowo AT, Adnan HA, Semartiana NS, et al. Pengembangan Sistem Informasi PERISAI (Pelaporan Mandiri saat Isolasi) untuk Orang Dalam Pemantauan Covid-19. J Sist Cerdas. 2020;3(2):95–111.

Adiwibowo IR, Rusdiati RD, Nadi DT. Pemetaan Ekosistem Teknologi Digital Untuk Membantu Penanganan COVID-19. J Inf Syst Public Heal. 2021;6(3):10–27.

Nadhiro NA, Setiawana E, Istiningrum AI. HEALTH-M Mobile Health Monitoring: Inovasi Pengawasan Pasien Covid-19 Berbasis Aplikasi Guna Mengawasi Keadaan Kesehatan Pasien Isolasi Mandiri. J Apl Dan Inov Ipteks “Soliditas.” 2021;4(2):228.

Pujianto P. Aplikasi Self Assesment Checkup Covid-19 Berbasis Android. J Digit Teknol Inf. 2020;3(1):28.

Rouf A, Yulianti R. Aplikasi Mindahan New Normal Sebagai Panduan Adaptasi Kebiasaan Baru. J Ilm Pangabdhi. 2021;7(1):24–8.

Etikasari B, Puspitasari TD, Kurniasari AA, Perdanasari L. Sistem Informasi Deteksi Dini Covid-19. J Tek Elektro dan Komput. 2020;9(2):101–8.

Thohari ANA, Vernandez AB. Aplikasi Monitoring Kasus Coronavirus Berbasis Android. JTET (Jurnal Tek Elektro Ter Polines. 2020;9(1):12–7.

Mahendra S, Setiatin S. Perancangan Sistem Informasi Pasien Covid-19. Cerdika J Ilm Indones. 2021;1(10):1389–98.

Yunas RAD, Triayudi A, Sholihati ID. Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor. J JTIK (Jurnal Teknol Inf dan Komunikasi). 2021;5(3):338.

Yanti SN, Rihyanti E. Pembuatan Aplikasi Mobile Learning Informasi Pertolongan Pasien Positif Covid-19 Berbasis Android. J Inf Syst Informatics, Comput. 2020;4(Vol 4 No 1 (2020)):122–33.

Isfahani F Al, Nugraha F, Mubarok R, Rahmatulloh A. Implementasi Web Service untuk Aplikasi Pemantau Coronavirus Disease 2019 (COVID-19). Innov Res Informatics. 2020;2(1):33–9.

Wijaya FA, Sari I. Perancangan Sistem Informasi Covid-19 Menggunakan Microsoft Visual Studio 2010 Di RSIA Limijati. J Indones Sos Teknol. 2021;2(8):1327–38.

Prasetyo DY, Andini RP. Sistem Informasi Monitoring Covid-19 Berbasis Web. J Tek Ind UNISI. 2020;4(2):7–20.

Yuliani Y, Syahidin Y, Herfiyanti L. Perancangan Sistem Informasi Indeks Kematian Pasien Covid-19 Di RSU Proklamasi. Bianglala Inform. 2021;9(2):79–83.

Tom-Aba D, Nguku PM, Arinze CC, Krause G. Assessing The Concepts And Designs Of 58 Mobile Apps For The Management Of The 2014-2015 West Africa Ebola Outbreak: Systematic Review. JMIR Public Heal Surveill. 2018;4(4).

Yasaka TM, Lehrich BM, Sahyouni R. Peer-to-peer contact tracing: Development of a privacy-preserving smartphone app. JMIR mHealth uHealth. 2020;8(4):1–9.

Danquah LO, Hasham N, MacFarlane M, Conteh FE, Momoh F, Tedesco AA, et al. Use Of A Mobile Application For Ebola Contact Tracing And Monitoring In Northern Sierra Leone: A Proof-Of-Concept Study. BMC Infect Dis. 2019;19(1):1–12.

Steinberg R, Anderson B, Hu Z, Johnson TM, O’Keefe JB, Plantinga LC, et al. Associations between remote patient monitoring program responsiveness and clinical outcomes for patients with COVID-19. BMJ Open Qual. 2021;10(3):1–9.

Gong M, Liu L, Sun X, Yang Y, Wang S, Zhu H. Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences from Hubei, China. J Med Internet Res. 2020;22(4):1–9.

Maury E, Boldi M-O, Greub G, Chavez V, Jaton K, Opota O. An Automated Dashboard to Improve Laboratory COVID-19 Diagnostics Management. Front Digit Heal. 2021;3(December):1–13.

WHO. Management Of Ill Travellers At Points Of Entry – International Airports , Seaports And Ground Crossings – In The Context Of Covid-19. Geneva: WHO; 2020. 1–4 p.

Wang CJ, Ng CY, Brook RH. Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. JAMA - J Am Med Assoc. 2020;323(14):1341–2.

Cardwell K, Jordan K, Byrne P, Smith SM, Harrington P, Ryan M, et al. The Effectiveness of Non-Contact Thermal Screening as a Means of Identifying Cases of Covid-19: A Rapid Review of the Evidence. Rev Med Virol. 2021;31(4):1–10.

Nsawotebba A, Ibanda I, Ssewanyana I, Ogwok P, Ocen F, Okiira C, et al. Effectiveness of Thermal Screening in Detection of COVID-19 among Truck Drivers at Mutukula Land Point of Entry, Uganda. PLoS One. 2021;16(5 May):1–11.

Sun G, Nakayama Y, Dagdanpurev S, Abe S. Remote Sensing Of Multiple Vital Signs Using A CMOS Camera-Equipped Infrared Thermography System And Its Clinical Application In Rapidly Screening Patients With Suspected Infectious Diseases. Int J Infect Dis. 2017;55(January):113–7.

Davey S, Davey A. Mobile-Health Technology: Can It Strengthen And Improve Public Health Systems Of Other Developing Countries as Per Indian Strategies? A Systematic Review of The Literature. Int J Med Public Heal. 2014;4(1):40.

UN DESA. Strengthening Data Governance for Effective Use of Open Data and Big Data Analytics for Combating COVID-19. Policy Brief. New York: United Nations; 2020. 1–8 p.

Ismah Z, Bahri AN, Siregar IK, Pane DTA, Suhendri S. E-literacy in Indonesian Society Regarding Covid-19. J Sains Sosio Hum. 2021;5(1):90–5.

Siboro MD, Surjoputro A, Budiyanti RT. Faktor-Faktor yang Mempengaruhi Penggunaan Layanan Telemedicine Pada Masa Pandemi COVID-19 di Pulau Jawa. J Kesehat Masy [Internet]. 2021;9(5):613–20. Available from: http://www.tjyybjb.ac.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=9987

Reeves JJ, Hollandsworth HM, Torriani FJ, Taplitz R, Abeles S, Tai-Seale M, et al. Rapid Response To COVID-19: Health Informatics Support For Outbreak Management In An Academic Health System. J Am Med Informatics Assoc. 2020;27(6):853–9.

Ghiffari RA. Dampak Populasi Dan Mobilitas Perkotaan Terhadap Penyebaran Pandemi Covid-19 di Jakarta. Tunas Geogr. 2020;9(1):81.

Nugroho LE, Rakhman AZ. Mobilitas Manusia dan Tingkat Penyebaran Covid-19: Sebuah Analisis Kuantitatif. J Nas Tek Elektro dan Teknol Inf. 2021;10(2):124–30.

Budd J, Miller BS, Manning EM, Lampos V, Zhuang M, Edelstein M, et al. Digital technologies in the public-health response to COVID-19. Nat Med [Internet]. 2020;26(8):1183–92. Available from: http://dx.doi.org/10.1038/s41591-020-1011-4




DOI: https://doi.org/10.47007/inohim.v10i1.398

Refbacks

  • There are currently no refbacks.


Lembaga Penerbitan Universitas Esa Unggul

Jl Arjuna Utara No 9. Tol Tomang, Kebon Jeruk, Jakarta. 11510

Email : inohim.ueu@esaunggul.ac.id

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

View My Stats