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

Adoption and Change Management of eHealth Systems (731) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210)

Published on in Vol 6, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8912, first published .
Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis

Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis

Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis

Authors of this article:

Saif Khairat1, 2 Author Orcid Image ;   David Marc3 Author Orcid Image ;   William Crosby2 Author Orcid Image ;   Ali Al Sanousi4 Author Orcid Image
Article Authors Cited by (170) Tweetations (26) Metrics

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  105. Vijayakumar S, Lee V, Leong Q, Hong S, Blasiak A, Ho D. Physicians’ Perspectives on AI in Clinical Decision Support Systems: Interview Study of the CURATE.AI Personalized Dose Optimization Platform. JMIR Human Factors 2023;10:e48476 View
  106. Soun J, Zolyan A, McLouth J, Elstrott S, Nagamine M, Liang C, Dehkordi-Vakil F, Chu E, Floriolli D, Kuoy E, Joseph J, Abi-Jaoudeh N, Chang P, Yu W, Chow D. Impact of an automated large vessel occlusion detection tool on clinical workflow and patient outcomes. Frontiers in Neurology 2023;14 View
  107. Bangash H, Elsekaily O, Saadatagah S, Sutton J, Johnsen P, Gundelach J, Kamzabek A, Freimuth R, Caraballo P, Kullo I. Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia. Journal of Personalized Medicine 2023;13(6):929 View
  108. Chen C, Chen Y, Scholl J, Yang H, Li Y. Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication. Computer Methods and Programs in Biomedicine 2024;243:107869 View
  109. Mukherjee T, Pournik O, Lim Choi Keung S, Arvanitis T. Clinical Decision Support Systems for Brain Tumour Diagnosis and Prognosis: A Systematic Review. Cancers 2023;15(13):3523 View
  110. Hummelsberger P, Koch T, Rauh S, Dorn J, Lermer E, Raue M, Hudecek M, Schicho A, Colak E, Ghassemi M, Gaube S. Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study. JMIR AI 2023;2:e47353 View
  111. Schütze D, Holtz S, Neff M, Köhler S, Schaaf J, Frischen L, Sedlmayr B, Müller B. Requirements analysis for an AI-based clinical decision support system for general practitioners: a user-centered design process. BMC Medical Informatics and Decision Making 2023;23(1) View
  112. Han C, Pan Y, Liu C, Yang X, Li J, Wang K, Sun Z, Liu H, Jin G, Fang F, Pan X, Tang T, Chen X, Pang S, Ma L, Wang X, Ren Y, Liu M, Liu F, Jiang M, Zhao J, Lu C, Lu Z, Gao D, Jiang Z, Pei J. Assessing the decision quality of artificial intelligence and oncologists of different experience in different regions in breast cancer treatment. Frontiers in Oncology 2023;13 View
  113. Bevilacqua K, Tuchler A, Carvajal D. Provider perspectives on a point-of-care tool to facilitate patient-centered contraceptive care among Latina/x patients in Baltimore, MD. PEC Innovation 2023;3:100190 View
  114. Maw A, Huebschmann A, Jones C. Methods progress note: Applying dissemination and implementation science models to enhance hospital‐based quality improvement. Journal of Hospital Medicine 2023;18(9):841 View
  115. Belchos J, Streib E, Laughlin M, Boustani M, Ortiz D. Implementation Requires Evaluation of Adoption: Lessons From a Multimodal Pain Regimen Order Set. Journal of Surgical Research 2024;295:182 View
  116. Truong A, Tan S, Wang G, Yip A, Egermark M, Yeung W, Lee V, Chan M, Kumar K, Tan L, Vijayakumar S, Blasiak A, Wang L, Ho D. CURATE.AI-assisted dose titration for anti-hypertensive personalized therapy: study protocol for a multi-arm, randomized, pilot feasibility trial using CURATE.AI (CURATE.AI ADAPT trial). European Heart Journal - Digital Health 2024;5(1):41 View
  117. Townsend B, Plant K, Hodge V, Ashaolu O, Calinescu R. Medical practitioner perspectives on AI in emergency triage. Frontiers in Digital Health 2023;5 View
  118. Panigutti C, Beretta A, Fadda D, Giannotti F, Pedreschi D, Perotti A, Rinzivillo S. Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Transactions on Interactive Intelligent Systems 2023;13(4):1 View
  119. Bamgboje-Ayodele A, Borg D, McPhail S, Baysari M. Clinical decision support systems for chronic obstructive pulmonary disease (COPD) in hospitals: A systematic review. DIGITAL HEALTH 2023;9 View
  120. Singer C, Luxenburg O, Rosen S, Vaknin S, Saban M. Advancing acceptance: assessing acceptance of the ESR iGuide clinical decision support system for improved computed tomography test justification. Frontiers in Medicine 2023;10 View
  121. Granviken F, Meisingset I, Vasseljen O, Bach K, Bones A, Klevanger N. Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project. BMC Medical Informatics and Decision Making 2023;23(1) View
  122. Cai Z, He H, Huo W, Xu X. More Unique, More Accepting? Integrating Sense of Uniqueness, Perceived Knowledge, and Perceived Empathy with Acceptance of Medical Artificial Intelligence. International Journal of Human–Computer Interaction 2024;40(24):8433 View
  123. Stankovics P, Schillaci C, Pump J, Birli B, Ferraro G, Munafò M, Di Leginio M, Hermann T, Montanarella L, Tóth G. A framework for co‐designing decision‐support systems for policy implementation: The LANDSUPPORT experience. Land Degradation & Development 2024;35(5):1902 View
  124. Noble A, Morris B, Bonnett L, Reuber M, Mason S, Wright J, Pilbery R, Bell F, Shillito T, Marson A, Dickson J. ‘Knowledge exchange’ workshops to optimise development of a risk prediction tool to assist conveyance decisions for suspected seizures – Part of the Risk of ADverse Outcomes after a Suspected Seizure (RADOSS) project. Epilepsy & Behavior 2024;151:109611 View
  125. Toh Z, Berg B, Han Q, Hey H, Pikkarainen M, Grotle M, He H. Clinical Decision Support System Used in Spinal Disorders: Scoping Review. Journal of Medical Internet Research 2024;26:e53951 View
  126. Hu Z, Wang M, Zheng S, Xu X, Zhang Z, Ge Q, Li J, Yao Y. Clinical Decision Support Requirements for Ventricular Tachycardia Diagnosis Within the Frameworks of Knowledge and Practice: Survey Study. JMIR Human Factors 2024;11:e55802 View
  127. Khandaker G, Chapman G, Khan A, Al Imam M, Menzies R, Smoll N, Walker J, Kirk M, Wiley K. Evaluating Pilot Implementation of ‘PenCS Flu Topbar’ App in Medical Practices to Improve National Immunisation Program–Funded Seasonal Influenza Vaccination in Central Queensland, Australia. Influenza and Other Respiratory Viruses 2024;18(4) View
  128. Talbert D, Phillips K, Brown K, Talbert S. Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage. International Journal on Artificial Intelligence Tools 2024;33(03) View
  129. Adler L, Radomyslsky Z, Mizrahi Reuveni M, Schejter E, Yehoshua I, Segal Y, Kivity S, Naimi E, Saban M. Harnessing innovation to help meet the needs of elders: field testing an electronic tool to streamline geriatric assessments across healthcare settings. Family Medicine and Community Health 2024;12(2):e002729 View
  130. He T, Chen Y, Wang L, Cheng H. An Expert-Knowledge-Based Graph Convolutional Network for Skeleton- Based Physical Rehabilitation Exercises Assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:1916 View
  131. Rambach T, Gleim P, Mandelartz S, Heizmann C, Kunze C, Kellmeyer P. Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review. JMIR Research Protocols 2024;13:e58185 View
  132. Kersey E, Li J, Kay J, Adler-Milstein J, Yazdany J, Schmajuk G. Development and application of Breadth-Depth-Context (BDC), a conceptual framework for measuring technology engagement with a qualified clinical data registry. JAMIA Open 2024;7(3) View
  133. Küper A, Lodde G, Livingstone E, Schadendorf D, Krämer N. Mitigating cognitive bias with clinical decision support systems: an experimental study. Journal of Decision Systems 2024;33(3):439 View
  134. Tignanelli C, Shah S, Vock D, Siegel L, Serrano C, Haut E, Switzer S, Martin C, Rizvi R, Peta V, Jenkins P, Lemke N, Thyvalikakath T, Osheroff J, Torres D, Vawdrey D, Callcut R, Butler M, Melton G. A pragmatic, stepped-wedge, hybrid type II trial of interoperable clinical decision support to improve venous thromboembolism prophylaxis for patients with traumatic brain injury. Implementation Science 2024;19(1) View
  135. Fernando M, Abell B, McPhail S, Tyack Z, Tariq A, Naicker S. Applying the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability Framework Across Implementation Stages to Identify Key Strategies to Facilitate Clinical Decision Support System Integration Within a Large Metropolitan Health Service: Interview and Focus Group Study. JMIR Medical Informatics 2024;12:e60402 View
  136. Desiraju B, Thiruvengadam R, Wadhwa N, Khurana A, T Papageorghiou A, Noble J, Bhatnagar S. Perspectives and guidance for developing artificial intelligence-based applications for healthcare using medical images. F1000Research 2024;13:954 View
  137. Wang X, Tian Y, Huang K, Liang B. Practically implementing an LLM-supported collaborative vulnerability remediation process: A team-based approach. Computers & Security 2025;148:104113 View
  138. Vibert J, Bourquin C, De Santis O, Cobuccio L, D’Acremont V. Influence of the use of a tablet-based clinical decision support algorithm by general practitioners on the consultation process: the example of FeverTravelApp. BMC Digital Health 2024;2(1) View
  139. Finkelstein J, Gabriel A, Schmer S, Truong T, Dunn A. Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System. Journal of Medical Systems 2024;48(1) View
  140. Robertson S, Brauer S, Burton-Jones A, Grimley R, Rosbergen I. From use, value and user-centered design to context: A mixed methods analysis of a hospital electronic medical record enhancement. DIGITAL HEALTH 2024;10 View
  141. Allen K, Yawson A, Haggenmüller S, Kather J, Brinker T. Human-centered AI as a framework guiding the development of image-based diagnostic tools in oncology: a systematic review. ESMO Real World Data and Digital Oncology 2024;6:100077 View
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Books/Policy Documents

  1. Wallach D, Flohr L, Kaltenhauser A. Artificial Intelligence in HCI. View
  2. Halilaj I, van Wijk Y, Jochems A, Lambin P. Artificial Intelligence in Medicine. View
  3. Agha-Mir-Salim L, Sarmiento R. Leveraging Data Science for Global Health. View
  4. Wong-Lin K, Sanchez-Bornot J, McCombe N, Kaur D, McClean P, Zou X, Youssofzadeh V, Ding X, Bucholc M, Yang S, Prasad G, Coyle D, Maguire L, Wang H, Wang H, Atiya N, Joshi A. Systems Medicine. View
  5. Aljarboa S, Miah S. Proceedings of Sixth International Congress on Information and Communication Technology. View
  6. Zhang X, Jiang H, Ozanich G. Telehealth and Telemedicine - The Far-Reaching Medicine for Everyone and Everywhere. View
  7. Sarnaik K, Tang W. Artificial Intelligence in Clinical Practice. View
  8. Rissanen A, Rissanen M. Health Information Science. View
  9. Jiang H. Artificial Intelligence in Anesthesiology. View
  10. Henriques J, Rocha T, de Carvalho P, Silva C, Paredes S. International Conference on Biomedical and Health Informatics 2022. View
  11. Henriques J, Rocha T, Paredes S, Gil P, Loureiro J, Petrella L. 9th European Medical and Biological Engineering Conference. View
  12. Smits A, Detweiler C, Bartels E, Pott K, van der Stappen E, van Rossen S, Cardona K, Shayan S, Ziegler J, van Turhout K. Design for Equality and Justice. View