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

Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Electronic Health Records (1068)

Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14141, first published .
Design Process and Utilization of a Novel Clinical Decision Support System for Neuropathic Pain in Primary Care: Mixed Methods Observational Study

Design Process and Utilization of a Novel Clinical Decision Support System for Neuropathic Pain in Primary Care: Mixed Methods Observational Study

Design Process and Utilization of a Novel Clinical Decision Support System for Neuropathic Pain in Primary Care: Mixed Methods Observational Study

Authors of this article:

Dale Guenter1 Author Orcid Image ;   Mohamed Abouzahra2 Author Orcid Image ;   Inge Schabort1 Author Orcid Image ;   Arun Radhakrishnan3 Author Orcid Image ;   Kalpana Nair4 Author Orcid Image ;   Sherrie Orr1 Author Orcid Image ;   Jessica Langevin1 Author Orcid Image ;   Paul Taenzer5 Author Orcid Image ;   Dwight E Moulin6, 7 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

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  2. Kim M, Ryu J. Development and Utilization of a Clinical Decision Support System Contents for Pressure Ulcer Prevention Care. Journal of Health Informatics and Statistics 2020;45(4):365 View
  3. Quintens C, De Coster J, Van der Linden L, Morlion B, Nijns E, Van den Bosch B, Peetermans W, Spriet I. Impact of Check of Medication Appropriateness (CMA) in optimizing analgesic prescribing: An interrupted time series analysis. European Journal of Pain 2021;25(3):704 View
  4. French B, Hall C, Perez Vallejos E, Sayal K, Daley D. Evaluation of a Web-Based ADHD Awareness Training in Primary Care: Pilot Randomized Controlled Trial With Nested Interviews. JMIR Medical Education 2020;6(2):e19871 View
  5. 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
  6. 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
  7. Ramlakhan J, Dhanani S, Berta W, Gagliardi A. Optimizing the design and implementation of question prompt lists to support person‐centred care: A scoping review. Health Expectations 2023;26(4):1404 View
  8. Grechuta K, Shokouh P, Alhussein A, Müller-Wieland D, Meyerhoff J, Gilbert J, Purushotham S, Rolland C. Benefits of Clinical Decision Support Systems for the Management of Noncommunicable Chronic Diseases: Targeted Literature Review. Interactive Journal of Medical Research 2024;13:e58036 View
  9. Wang J, Wu Y, Huang Y, Yang F. Comparative effectiveness of delirium recognition with and without a clinical decision assessment system on outcomes of hospitalized older adults: Cluster randomized controlled trial. International Journal of Nursing Studies 2025;162:104979 View