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

Non-randomized Protocols and Methods (ehealth) (446) Artificial Intelligence (720) Human Factors and Usability Case Studies (534) mHealth for Treatment Adherence (335) Usability of Apps and User Perceptions of mHealth (737)

Published on in Vol 9 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21659, first published .
Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study

Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study

Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study

Authors of this article:

Don Roosan 1 Author Orcid Image ;   Jay Chok 2 Author Orcid Image ;   Mazharul Karim 1 Author Orcid Image ;   Anandi V Law 1 Author Orcid Image ;   Andrius Baskys 3 Author Orcid Image ;   Angela Hwang 1 Author Orcid Image ;   Moom R Roosan 4 Author Orcid Image
Article Authors Cited by (13) Tweetations (6) Metrics

Journals

  1. Menditto E, Cahir C, Malo S, Aguilar-Palacio I, Almada M, Costa E, Giardini A, Gil Peinado M, Massot Mesquida M, Mucherino S, Orlando V, Parra-Calderón C, Pepiol Salom E, Kardas P, Vrijens B. Persistence as a Robust Indicator of Medication Adherence-Related Quality and Performance. International Journal of Environmental Research and Public Health 2021;18(9):4872 View
  2. Roosan D, Clutter J, Kendall B, Weir C. Power of Heuristics to Improve Health Information Technology System Design. ACI Open 2022;06(02):e114 View
  3. Chew H, Achananuparp P. Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32939 View
  4. Roosan D, Wu Y, Tatla V, Li Y, Kugler A, Chok J, Roosan M. Framework to enable pharmacist access to health care data using Blockchain technology and artificial intelligence. Journal of the American Pharmacists Association 2022;62(4):1124 View
  5. Handley M, Santos M, Bastías M. Working with Data in Adult English Classrooms: Lessons Learned about Communicative Justice during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2022;20(1):696 View
  6. Roosan D, Law A, Roosan M, Li Y. Artificial Intelligent Context-Aware Machine-Learning Tool to Detect Adverse Drug Events from Social Media Platforms. Journal of Medical Toxicology 2022;18(4):311 View
  7. Roosan D. The promise of digital health in healthcare equity and medication adherence in the disadvantaged dementia population. Pharmacogenomics 2022;23(9):505 View
  8. Kuo H, Chang C, Ma W. A Survey of Mobile Apps for the Care Management of Patients with Dementia. Healthcare 2022;10(7):1173 View
  9. Kim E, Baskys A, Law A, Roosan M, Li Y, Roosan D. Scoping review: the empowerment of Alzheimer’s Disease caregivers with mHealth applications. npj Digital Medicine 2021;4(1) View
  10. Roosan D, Wu Y, Tran M, Huang Y, Baskys A, Roosan M. Opportunities to integrate nutrigenomics into clinical practice and patient counseling. European Journal of Clinical Nutrition 2023;77(1):36 View
  11. Roosan D, Chok J, Baskys A, Roosan M. PGxKnow: a pharmacogenomics educational HoloLens application of augmented reality and artificial intelligence. Pharmacogenomics 2022;23(4):235 View

Books/Policy Documents

  1. Bedny I, Karwowski W. Advances in Neuroergonomics and Cognitive Engineering. View