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

mHealth in a Clinical Setting (615) Mobile Health (mhealth) (2941) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

Published on in Vol 3, No 3 (2015): Jul-Sep

Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement

Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement

Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement

Authors of this article:

Rakesh Patel1, 2 Author Orcid Image ;   William Green3 Author Orcid Image ;   Muhammad Waseem Shahzad3, 4 Author Orcid Image ;   Chris Larkin3, 4 Author Orcid Image
Article Authors Cited by (19) Tweetations (9) Metrics

Journals

  1. Hamilton J, Genoff Garzon M, Westerman J, Shuk E, Hay J, Walters C, Elkin E, Bertelsen C, Cho J, Daly B, Gucalp A, Seidman A, Zauderer M, Epstein A, Kris M. “A Tool, Not a Crutch”: Patient Perspectives About IBM Watson for Oncology Trained by Memorial Sloan Kettering. Journal of Oncology Practice 2019;15(4):e277 View
  2. Walsh K. Online clinical decision support: how it is used at the point-of-care. BMJ Simulation and Technology Enhanced Learning 2017;3(2):73 View
  3. Chib A, Lin S. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909 View
  4. Akkawi M, Nik Mohamed M, Md Aris M. The impact of a multifaceted intervention to reduce potentially inappropriate prescribing among discharged older adults: a before-and-after study. Journal of Pharmaceutical Policy and Practice 2020;13(1) View
  5. Pyörälä E, Mäenpää S, Heinonen L, Folger D, Masalin T, Hervonen H. The art of note taking with mobile devices in medical education. BMC Medical Education 2019;19(1) View
  6. Bonis P. Decision support technology. Practice Management 2017;27(8):32 View
  7. Zamora A, Carrion C, Aymerich M, Castells X, Blanco L, Martin-Urda A, Paluzie G, Capella D, Elosua R, Group V. Evaluation of a Clinical Decision Support System for Dyslipidemia Treatment (HTE-DLPR) by QoE questionnaire. International Journal of Cardiovascular Practice 2017;2(1):10 View
  8. Wickström H, Tuvesson H, Öien R, Midlöv P, Fagerström C. Health Care Staff’s Experiences of Engagement When Introducing a Digital Decision Support System for Wound Management: Qualitative Study. JMIR Human Factors 2020;7(4):e23188 View
  9. Kerns E, McCulloh R, Fouquet S, McDaniel C, Ken L, Liu P, Kaiser S. Utilization and effects of mobile electronic clinical decision support on pediatric asthma care quality in the emergency department and inpatient setting. JAMIA Open 2021;4(2) View
  10. Folger D, Merenmies J, Sjöberg L, Pyörälä E. Hurdles for adopting mobile learning devices at the outset of clinical courses. BMC Medical Education 2021;21(1) View
  11. Rosen R, Garbern S, Gainey M, Lantini R, Nasrin S, Nelson E, Elshabassi N, Alam N, Sultana S, Hasnin T, Qu K, Schmid C, Levine A. Designing a Novel Clinician Decision Support Tool for the Management of Acute Diarrhea in Bangladesh: Formative Qualitative Study. JMIR Human Factors 2022;9(1):e33325 View
  12. Kim H, Xu Y, Wang Y. Overcoming the Mental Health Stigma Through m-Health Apps: Results from the Healthy Minds Study. Telemedicine and e-Health 2022;28(10):1534 View
  13. Miller K, Rosenberg J, Pickard O, Hawrusik R, Karlage A, Weintraub R. Segmenting Clinicians’ Usage Patterns of a Digital Health Tool in Resource-Limited Settings: Clickstream Data Analysis and Survey Study. JMIR Formative Research 2022;6(5):e30320 View
  14. Pandit A. Contemporary learning techniques for healthcare professionals: A narrative review. Frontiers in Education 2022;7 View
  15. Blagden S, Carson C, Underhill J, Desai M. A qualitative exploration of digital medicines information usage: Insights from an evaluation of the BNF. Health Policy and Technology 2022;11(3):100653 View
  16. Bulzacchelli M, Bellantoni J, McCue L, Dzugan J. The Receptivity to Safety-Related Mobile Apps Among Commercial Fishing Captains: Descriptive Exploratory Study. JMIR Formative Research 2022;6(11):e33638 View
  17. Ackerhans S, Huynh T, Kaiser C, Schultz C. Exploring the role of professional identity in the implementation of clinical decision support systems—a narrative review. Implementation Science 2024;19(1) View
  18. Sachdeva M, Datchoua A, Yakam V, Kenfack B, Jonnalagedda-Cattin M, Thiran J, Petignat P, Schmidt N. Acceptability of artificial intelligence for cervical cancer screening in Dschang, Cameroon: a qualitative study on patient perspectives. Reproductive Health 2024;21(1) View

Books/Policy Documents

  1. Moses J, Adibi S. The Science behind the COVID Pandemic and Healthcare Technology Solutions. View