This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infectious Diseases (non-STD/STI) (1575)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23427, first published .
An Automated Patient Self-Monitoring System to Reduce Health Care System Burden During the COVID-19 Pandemic in Malaysia: Development and Implementation Study

An Automated Patient Self-Monitoring System to Reduce Health Care System Burden During the COVID-19 Pandemic in Malaysia: Development and Implementation Study

An Automated Patient Self-Monitoring System to Reduce Health Care System Burden During the COVID-19 Pandemic in Malaysia: Development and Implementation Study

Authors of this article:

Hooi Min Lim1, 2 Author Orcid Image ;   Chin Hai Teo2, 3 Author Orcid Image ;   Chirk Jenn Ng2, 4 Author Orcid Image ;   Thiam Kian Chiew2, 5 Author Orcid Image ;   Wei Leik Ng4 Author Orcid Image ;   Adina Abdullah2, 4 Author Orcid Image ;   Haireen Abdul Hadi4 Author Orcid Image ;   Chee Sun Liew2, 6 Author Orcid Image ;   Chee Seng Chan2, 7 Author Orcid Image
Article Authors Cited by (17) Tweetations (1) Metrics

Journals

  1. Asadi F, Rahimi F, Ghaderkhany S, Almasi S. Self‐care for coronavirus disease through electronic health technologies: A scoping review. Health Science Reports 2023;6(2) View
  2. Kellogg K, Sadeh-Sharvit S. Pragmatic AI-augmentation in mental healthcare: Key technologies, potential benefits, and real-world challenges and solutions for frontline clinicians. Frontiers in Psychiatry 2022;13 View
  3. Lim H, Abdullah A, Ng C, Teo C, Valliyappan I, Abdul Hadi H, Ng W, Noor Azhar A, Chiew T, Liew C, Chan C. Utility and usability of an automated COVID-19 symptom monitoring system (CoSMoS) in primary care during COVID-19 pandemic: A qualitative feasibility study. International Journal of Medical Informatics 2021;155:104567 View
  4. Sikder A, Dickhoner J, Kysh L, Musheghyan L, Shekherdimian S, Levine B, Espinoza J. International Collaboration to Develop a Remote Monitoring Web App for COVID-19 Patients in Armenia: Design and Development With Agile Methodology. JMIR Human Factors 2022;9(4):e40110 View
  5. Iitani K, Ramamurthy S, Ge X, Rao G. Transdermal sensing: in-situ non-invasive techniques for monitoring of human biochemical status. Current Opinion in Biotechnology 2021;71:198 View
  6. Kokol P. Agile Software Development in Healthcare: A Synthetic Scoping Review. Applied Sciences 2022;12(19):9462 View
  7. Beng T, Kim C, Shee C, Ching D, Liang T, Kumar M, Guan N, Khuen L, Loong L, Chin L, Zainuddin S, Capelle D, Munn A, Yen L, Isahak N. COVID-19, Suffering and Palliative Care: A Review. American Journal of Hospice and Palliative Medicine® 2022;39(8):986 View
  8. Costa-García Á, Okajima S, Yang N, Shimoda S. Artifact removal from sEMG signals recorded during fully unsupervised daily activities. DIGITAL HEALTH 2023;9 View
  9. Han S. The Contributions of Information and Communications Technology on the Sustainable Development of Artificial Intelligence in the Medical Field. Journal of Innovation and Development 2023;2(2):86 View
  10. Rogan J, Bucci S, Firth J. Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis. JMIR Mental Health 2024;11:e49577 View
  11. Cornelis J, Christiaens W, de Meester C, Mistiaen P. Remote patient monitoring in patients with COVID-19 at home: literature review (Preprint). JMIR Nursing 2022 View
  12. Das K, Gavade P. A review on the efficacy of artificial intelligence for managing anxiety disorders. Frontiers in Artificial Intelligence 2024;7 View

Books/Policy Documents

  1. Andriano-Moore S, Cai Y. Coping with COVID-19, the Mobile Way. View
  2. Saoiabi F, Kharmoum N, Elasri C, Boukhari M, Ziti S, Rhalem W. International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). View