Published on in Vol 4, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14002, first published .
Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study

Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study

Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study

Journals

  1. Bradway M, Giordanengo A, Joakimsen R, Hansen A, Grøttland A, Hartvigsen G, Randine P, Årsand E. Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study. JMIR Research Protocols 2020;9(2):e16657 View
  2. Richard A, Mayag B, Talbot F, Tsoukias A, Meinard Y. What does it mean to provide decision support to a responsible and competent expert?. EURO Journal on Decision Processes 2020;8(3-4):205 View
  3. Senathirajah Y, Pelayo S. Human Factors and Organizational Issues. Yearbook of Medical Informatics 2020;29(01):099 View
  4. Korvesi V, Chouvarda I, Mastorakos G, Goulis D. Implementation of the Endocrine Society clinical practice guidelines for gestational diabetes mellitus to a knowledge tool. European Journal of Clinical Investigation 2020;50(9) View
  5. Burrai F, Micheluzzi V, Apuzzo L. Governance nell’innovazione: Sanità Digitale, Mobile Health, Big Data, Virtual Reality. Giornale di Clinica Nefrologica e Dialisi 2021;33:42 View
  6. Calzoni L, Clermont G, Cooper G, Visweswaran S, Hochheiser H. Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. Applied Clinical Informatics 2020;11(04):680 View
  7. Clausen C, Leventhal B, Nytrø Ø, Koposov R, Røst T, Westbye O, Koochakpour K, Frodl T, Stien L, Skokauskas N. Usability of the IDDEAS prototype in child and adolescent mental health services: A qualitative study for clinical decision support system development. Frontiers in Psychiatry 2023;14 View
  8. Javaid M, Haleem A, Singh R, Khan S, Suman R. An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations 2022;2(4):100085 View
  9. Taber P, Radloff C, Del Fiol G, Staes C, Kawamoto K. New Standards for Clinical Decision Support: A Survey of The State of Implementation. Yearbook of Medical Informatics 2021;30(01):159 View
  10. Gazzarata R, Almeida J, Lindsköld L, Cangioli G, Gaeta E, Fico G, Chronaki C. HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review. International Journal of Medical Informatics 2024;189:105507 View
  11. Wiens J, Spector-Bagdady K, Mukherjee B. Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care. Annual Review of Genomics and Human Genetics 2024;25(1):141 View
  12. Helminski D, Sussman J, Pfeiffer P, Kokaly A, Ranusch A, Renji A, Damschroder L, Landis-Lewis Z, Kurlander J. Development, Implementation, and Evaluation Methods for Dashboards in Health Care: Scoping Review. JMIR Medical Informatics 2024;12:e59828 View
  13. Narindrarangkura P, Dejhansathit S, Khan U, Day M, Boren S, Simoes E, Kim M. Developing and Evaluating SEE‐Diabetes: A Patient‐Centered Educational Decision Support System for Diabetes Care. Journal of Evaluation in Clinical Practice 2025;31(1) View

Books/Policy Documents

  1. Low L, Vong W, Loh B, Then P. Proceedings of ASEAN-Australian Engineering Congress (AAEC2022). View
  2. Thanthrige A, Wickramasinghe N. Impact of Digital Solutions for Improved Healthcare Delivery. View