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Design and Usability of Clinical Software and EHRs (492) Telehealth and Telemonitoring (3171) Decision Support for Health Professionals (2376)

Published on in Vol 7, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23188, first published .
Smartphone displaying a skin lesion with a ruler for scale, used for skin health tracking.

Health Care Staff’s Experiences of Engagement When Introducing a Digital Decision Support System for Wound Management: Qualitative Study

Health Care Staff’s Experiences of Engagement When Introducing a Digital Decision Support System for Wound Management: Qualitative Study

Authors of this article:

Hanna Wickström1, 2 Author Orcid Image ;   Hanna Tuvesson3 Author Orcid Image ;   Rut Öien4 Author Orcid Image ;   Patrik Midlöv1 Author Orcid Image ;   Cecilia Fagerström5 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

Journals

  1. Wickström H, Fagerström C, Öien R, Anderberg P, Midlöv P. Antibiotic prescription using a digital decision support system: a register-based study of patients with hard-to-heal ulcers in Sweden. BMJ Open 2022;12(10):e060683 View
  2. Hogg H, Al-Zubaidy M, Talks J, Denniston A, Kelly C, Malawana J, Papoutsi C, Teare M, Keane P, Beyer F, Maniatopoulos G. Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence. Journal of Medical Internet Research 2023;25:e39742 View
  3. Fagerström C, Wickström H, Tuvesson H. Still engaged – healthcare staff’s engagement when introducing a new eHealth solution for wound management: a qualitative study. BMC Health Services Research 2022;22(1) View
  4. 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
  5. Li L, Feng Z, Zhu M, Yang J, Yang L. The influencing factors of nurses' job engagement in tertiary, A grade hospitals in East China: A cross‐sectional study. Nursing Open 2024;11(9) View
  6. Paddo A, Kodela S, Timsina L, Mathew-Steiner S, Purkayastha S, Sen C, Vieira J. Development and validation of the DHIS2 platform for integrating sociomedical data to study wound care outcomes. PLOS ONE 2024;19(12):e0308553 View
  7. Hedin L, Hagströmer M, Marcus C, Danielsson P. Process Evaluation of a Randomized Controlled Trial With a Mobile Health Intervention for Children With Obesity. Sage Open Pediatrics 2025;12 View
  8. Ferguson A, Newham R, Dunlop E, Preston K, Bennie M. Applications of human factors approaches and methods to the development of teleconsultations in primary care: a systematic scoping review. BMJ Open Quality 2025;14(3):e003023 View
  9. Roxenius J, Wickstrom H, Skär L, Oien R. How clinical structures shape diagnostic practices in Swedish hard-to-heal ulcer care: a grounded theory study. BMJ Open 2025;15(10):e106583 View
  10. Khosravi M, Zare Z, Mojtabaeian S, Izadi R. A Systematic Review of Factors Affecting Utilization of Decision Support Systems: The Interplay Between Technology, Users, and the Healthcare Environment. Health Science Reports 2026;9(6) View

Books/Policy Documents

  1. Kala K, Mathialagan P, Solomon Jebaraj N, Sambath Kumar S. Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence. View
  2. Hussain R, Alshorman K. Medicines Safety and Pharmacovigilance. View