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

Journals

  1. Romero-Brufau S, Wyatt K, Boyum P, Mickelson M, Moore M, Cognetta-Rieke C. A lesson in implementation: A pre-post study of providers’ experience with artificial intelligence-based clinical decision support. International Journal of Medical Informatics 2020;137:104072 View
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  5. Guenter D, Abouzahra M, Schabort I, Radhakrishnan A, Nair K, Orr S, Langevin J, Taenzer P, Moulin D. Design Process and Utilization of a Novel Clinical Decision Support System for Neuropathic Pain in Primary Care: Mixed Methods Observational Study. JMIR Medical Informatics 2019;7(3):e14141 View
  6. Beliakov G, Gagolewski M, James S. Aggregation on ordinal scales with the Sugeno integral for biomedical applications. Information Sciences 2019;501:377 View
  7. Heselmans A, Delvaux N, Laenen A, Van de Velde S, Ramaekers D, Kunnamo I, Aertgeerts B. Computerized clinical decision support system for diabetes in primary care does not improve quality of care: a cluster-randomized controlled trial. Implementation Science 2020;15(1) View
  8. Downie A, Hancock M, Abdel Shaheed C, McLachlan A, Kocaballi A, Williams C, Michaleff Z, Maher C. An Electronic Clinical Decision Support System for the Management of Low Back Pain in Community Pharmacy: Development and Mixed Methods Feasibility Study. JMIR Medical Informatics 2020;8(5):e17203 View
  9. Macheel C, Reicks P, Sybrant C, Evans C, Farhat J, West M, Tignanelli C. Clinical Decision Support Intervention for Rib Fracture Treatment. Journal of the American College of Surgeons 2020;231(2):249 View
  10. Camacho J, Zanoletti-Mannello M, Landis-Lewis Z, Kane-Gill S, Boyce R. A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping. Journal of Medical Internet Research 2020;22(8):e18388 View
  11. Murray-Torres T, Casarella A, Bollini M, Wallace F, Avidan M, Politi M. Anesthesiology Control Tower—Feasibility Assessment to Support Translation (ACTFAST): Mixed-Methods Study of a Novel Telemedicine-Based Support System for the Operating Room. JMIR Human Factors 2019;6(2):e12155 View
  12. Park Y, Kim Y, Yi B, Kim S. Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems. Healthcare Informatics Research 2019;25(2):115 View
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  15. Shaikh F, Dehmeshki J, Bisdas S, Roettger-Dupont D, Kubassova O, Aziz M, Awan O. Artificial Intelligence-Based Clinical Decision Support Systems Using Advanced Medical Imaging and Radiomics. Current Problems in Diagnostic Radiology 2021;50(2):262 View
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  18. Li Y, Cao H, Allen C, Wang X, Erdelez S, Shyu C. Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers. Scientific Reports 2020;10(1) View
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  20. Torres Silva E, Uribe S, Smith J, Luna Gomez I, Florez-Arango J. XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study. JMIR Formative Research 2020;4(10):e17512 View
  21. Kelsey E, Njeru J, Chaudhry R, Fischer K, Schroeder D, Croghan I. Understanding User Acceptance of Clinical Decision Support Systems to Promote Increased Cancer Screening Rates in a Primary Care Practice. Journal of Primary Care & Community Health 2020;11 View
  22. Usmanova G, Gresh A, Cohen M, Kim Y, Srivastava A, Joshi C, Bhatt D, Haws R, Wadhwa R, Sridhar P, Bahl N, Gaikwad P, Anderson J. Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3. International Journal of Environmental Research and Public Health 2020;17(22):8333 View
  23. Klarenbeek S, Schuurbiers-Siebers O, van den Heuvel M, Prokop M, Tummers M. Barriers and Facilitators for Implementation of a Computerized Clinical Decision Support System in Lung Cancer Multidisciplinary Team Meetings—A Qualitative Assessment. Biology 2020;10(1):9 View
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  30. Laka M, Milazzo A, Merlin T. Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management. International Journal of Environmental Research and Public Health 2021;18(4):1901 View
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  35. Shi Y, Amill-Rosario A, Rudin R, Fischer S, Shekelle P, Scanlon D, Damberg C. Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?. Journal of the American Medical Informatics Association 2021;28(8):1667 View
  36. Jansen-Kosterink S, van Velsen L, Cabrita M. Clinician acceptance of complex clinical decision support systems for treatment allocation of patients with chronic low back pain. BMC Medical Informatics and Decision Making 2021;21(1) View
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  42. Park H, Chae M, Jeong W, Yu J, Jung W, Chang H, Cha W. Appropriateness of Alerts and Physicians’ Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study. JMIR Medical Informatics 2022;10(10):e40511 View
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  52. Shah S, Switzer S, Shippee N, Wogensen P, Kosednar K, Jones E, Pestka D, Badlani S, Butler M, Wagner B, White K, Rhein J, Benson B, Reding M, Usher M, Melton G, Tignanelli C. Implementation of an Anticoagulation Practice Guideline for COVID-19 via a Clinical Decision Support System in a Large Academic Health System and Its Evaluation: Observational Study. JMIR Medical Informatics 2021;9(11):e30743 View
  53. Chen L, Yu H, Huang Y, Jin H, Khan R. ECG Signal-Enabled Automatic Diagnosis Technology of Heart Failure. Journal of Healthcare Engineering 2021;2021:1 View
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  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 2023:1 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
  142. Dorosan M, Chen Y, Zhuang Q, Lam S. In silico evaluation of algorithm-based clinical decision support systems: Protocol for a scoping review (Preprint). JMIR Research Protocols 2024 View
  143. Laraichi O, Daim T, Alzahrani S, Hogaboam L, Bolatan G, Moughari M. Technology readiness assessment: Case of clinical decision support systems in healthcare. Technology in Society 2024;79:102736 View
  144. Wohlgemut J, Pisirir E, Stoner R, Perkins Z, Marsh W, Tai N, Kyrimi E. A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems. BMC Medical Informatics and Decision Making 2024;24(1) View
  145. Raszke P, Giebel G, Abels C, Wasem J, Adamzik M, Nowak H, Palmowski L, Heinz P, Mreyen S, Timmesfeld N, Tokic M, Brunkhorst F, Blase N. User-Oriented Requirements for Artificial Intelligence-Based Clinical Decision Support Systems in Sepsis: Study Protocol for a Multimethod Research Project (Preprint). JMIR Research Protocols 2024 View
  146. Jean-Baptiste L, Abdelmalek M, Romain L, Romain L, Stéfan D, Karima S, Sophie D, Hector F. Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: methods and application to STOPP/START v2. BMC Medical Informatics and Decision Making 2024;24(1) 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