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

Adoption and Change Management of eHealth Systems (532) Clinical Information and Decision Making (1040) Decision Support for Health Professionals (853)

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 Khairat 1, 2 Author Orcid Image ;   David Marc 3 Author Orcid Image ;   William Crosby 1 Author Orcid Image ;   Ali Al Sanousi 4 Author Orcid Image
Article Authors Cited by (104) Tweetations (26) Metrics

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
  2. Kania L, Rao V. Restructuring Radiology Education to Improve Imaging Specificity. Academic Radiology 2021;28(3):433 View
  3. Catho G, Centemero N, Catho H, Ranzani A, Balmelli C, Landelle C, Zanichelli V, Huttner B. Factors determining the adherence to antimicrobial guidelines and the adoption of computerised decision support systems by physicians: A qualitative study in three European hospitals. International Journal of Medical Informatics 2020;141:104233 View
  4. Abedi V, Khan A, Chaudhary D, Misra D, Avula V, Mathrawala D, Kraus C, Marshall K, Chaudhary N, Li X, Schirmer C, Scalzo F, Li J, Zand R. Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework. Therapeutic Advances in Neurological Disorders 2020;13:175628642093896 View
  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
  13. Akhloufi H, Verhaegh S, Jaspers M, Melles D, van der Sijs H, Verbon A, Baysari M. A usability study to improve a clinical decision support system for the prescription of antibiotic drugs. PLOS ONE 2019;14(9):e0223073 View
  14. Peiffer-Smadja N, Poda A, Ouedraogo A, Guiard-Schmid J, Delory T, Le Bel J, Bouvet E, Lariven S, Jeanmougin P, Ahmad R, Lescure F. Paving the Way for the Implementation of a Decision Support System for Antibiotic Prescribing in Primary Care in West Africa: Preimplementation and Co-Design Workshop With Physicians. Journal of Medical Internet Research 2020;22(7):e17940 View
  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
  16. Rundo L, Pirrone R, Vitabile S, Sala E, Gambino O. Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine. Journal of Biomedical Informatics 2020;108:103479 View
  17. Wong-Lin K, McClean P, McCombe N, Kaur D, Sanchez-Bornot J, Gillespie P, Todd S, Finn D, Joshi A, Kane J, McGuinness B. Shaping a data-driven era in dementia care pathway through computational neurology approaches. BMC Medicine 2020;18(1) View
  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
  19. Saak S, Hildebrandt A, Kollmeier B, Buhl M. Predicting Common Audiological Functional Parameters (CAFPAs) as Interpretable Intermediate Representation in a Clinical Decision-Support System for Audiology. Frontiers in Digital Health 2020;2 View
  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;11:215013272095883 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
  24. Catho G, Centemero N, Waldispühl Suter B, Vernaz N, Portela J, Da Silva S, Valotti R, Coray V, Pagnamenta F, Ranzani A, Piuz M, Elzi L, Meyer R, Bernasconi E, Huttner B. How to Develop and Implement a Computerized Decision Support System Integrated for Antimicrobial Stewardship? Experiences From Two Swiss Hospital Systems. Frontiers in Digital Health 2021;2 View
  25. Casalino E, Bouzid D, Antoniol S, Choquet C, Colosi L, Pereira L, Agbessi A, Kenway P, Yazdanpanah Y, Ghazali D. Assessment of HIV-postexposure prophylaxis prescription quality after a training programme and assistance in decisions provided by a computer-based decision program: a cross-over study. Acta Clinica Belgica 2022;77(3):495 View
  26. Calisto F, Santiago C, Nunes N, Nascimento J. Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification. International Journal of Human-Computer Studies 2021;150:102607 View
  27. Kharbanda A, Vazquez-Benitez G, Ballard D, Vinson D, Chettipally U, Dehmer S, Ekstrom H, Rauchwerger A, McMichael B, Cotton D, Kene M, Simon L, Zhu J, Warton E, O’Connor P, Kharbanda E. Effect of Clinical Decision Support on Diagnostic Imaging for Pediatric Appendicitis. JAMA Network Open 2021;4(2):e2036344 View
  28. Tayefi M, Ngo P, Chomutare T, Dalianis H, Salvi E, Budrionis A, Godtliebsen F. Challenges and opportunities beyond structured data in analysis of electronic health records. WIREs Computational Statistics 2021;13(6) View
  29. Harahsheh A, Hamburger E, Saleh L, Crawford L, Sepe E, Dubelman A, Baram L, Kadow K, Driskill C, Prestidge K, Bost J, Berkowitz D. Promoting Judicious Primary Care Referral of Patients with Chest Pain to Cardiology: A Quality Improvement Initiative. Medical Decision Making 2021;41(5):559 View
  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
  31. Cox J, Leeds I, Sadiraj V, Schnier K, Sweeney J, Laws M. Effects of patients’ hospital discharge preferences on uptake of clinical decision support. PLOS ONE 2021;16(3):e0247270 View
  32. Diamant M, Baruch S, Kassem E, Muhsen K, Samet D, Leshno M, Obolski U. A game theoretic approach reveals that discretizing clinical information can reduce antibiotic misuse. Nature Communications 2021;12(1) View
  33. Zanin M, Aitya N, Basilio J, Baumbach J, Benis A, Behera C, Bucholc M, Castiglione F, Chouvarda I, Comte B, Dao T, Ding X, Pujos-Guillot E, Filipovic N, Finn D, Glass D, Harel N, Iesmantas T, Ivanoska I, Joshi A, Boudjeltia K, Kaoui B, Kaur D, Maguire L, McClean P, McCombe N, de Miranda J, Moisescu M, Pappalardo F, Polster A, Prasad G, Rozman D, Sacala I, Sanchez-Bornot J, Schmid J, Sharp T, Solé-Casals J, Spiwok V, Spyrou G, Stalidzans E, Stres B, Sustersic T, Symeonidis I, Tieri P, Todd S, Van Steen K, Veneva M, Wang D, Wang H, Wang H, Watterson S, Wong-Lin K, Yang S, Zou X, Schmidt H. An Early Stage Researcher's Primer on Systems Medicine Terminology. Network and Systems Medicine 2021;4(1):2 View
  34. Marin J, Rodean J, Mannix R, Hall M, Alpern E, Aronson P, Chaudhari P, Cohen E, Freedman S, Morse R, Peltz A, Samuels-Kalow M, Shah S, Simon H, Neuman M. Association of Clinical Guidelines and Decision Support with Computed Tomography Use in Pediatric Mild Traumatic Brain Injury. The Journal of Pediatrics 2021;235:178 View
  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
  37. Gebbia V, Guarini A, Piazza D, Bertani A, Spada M, Verderame F, Sergi C, Potenza E, Fazio I, Blasi L, La Sala A, Mortillaro G, Roz E, Marchese R, Chiarenza M, Soto-Parra H, Valerio M, Agneta G, Amato C, Lipari H, Baldari S, Ferraù F, Di Grazia A, Mancuso G, Rizzo S, Firenze A. Virtual Multidisciplinary Tumor Boards: A Narrative Review Focused on Lung Cancer. Pulmonary Therapy 2021;7(2):295 View
  38. Aljarboa S, Miah S. Acceptance of clinical decision support systems in Saudi healthcare organisations. Information Development 2023;39(1):86 View
  39. Gold R, Bunce A, Davis J, Nelson J, Cowburn S, Oakley J, Carney S, Horberg M, Dearing J, Melgar G, Bulkley J, Seabrook J, Cloutier H. “I didn't know you could do that”: A Pilot Assessment of EHR Optimization Training. ACI Open 2021;05(01):e27 View
  40. Oxholm C, Christensen A, Christiansen R, Wiil U, Nielsen A. Attitudes of Patients and Health Professionals Regarding Screening Algorithms: Qualitative Study. JMIR Formative Research 2021;5(8):e17971 View
  41. Buhl M. Interpretable Clinical Decision Support System for Audiology Based on Predicted Common Audiological Functional Parameters (CAFPAs). Diagnostics 2022;12(2):463 View
  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
  43. Knop M, Weber S, Mueller M, Niehaves B. Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence–Enabled Clinical Decision Support Systems: Literature Review. JMIR Human Factors 2022;9(1):e28639 View
  44. Chen J, Cutrona S, Dharod A, Bunch S, Foley K, Ostasiewski B, Hale E, Bridges A, Moses A, Donny E, Sutfin E, Houston T. Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics. JMIR Medical Informatics 2023;11:e43097 View
  45. Balestra M, Chen J, Iturrate E, Aphinyanaphongs Y, Nov O. Predicting inpatient pharmacy order interventions using provider action data. JAMIA Open 2021;4(3) View
  46. Bangash H, Makkawy A, Gundelach J, Miller A, Jacobson K, Kullo I. Web-Based Tool (FH Family Share) to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia: Development and Evaluation. JMIR Human Factors 2022;9(1):e32568 View
  47. Tulk Jesso S, Kelliher A, Sanghavi H, Martin T, Henrickson Parker S. Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review. Frontiers in Psychology 2022;13 View
  48. Jones E, Hultman G, Schmoke K, Ninkovic I, Dodge S, Bahr M, Melton G, Marquard J, Tignanelli C. Combined Expert and User-Driven Usability Assessment of Trauma Decision Support Systems Improves User-Centered Design. Surgery 2022;172(5):1537 View
  49. Calisto F, Nunes N, Nascimento J. Modeling adoption of intelligent agents in medical imaging. International Journal of Human-Computer Studies 2022;168:102922 View
  50. Kör H, Erbay H, Yurttakal A. Diagnosing and differentiating viral pneumonia and COVID-19 using X-ray images. Multimedia Tools and Applications 2022;81(27):39041 View
  51. Fujimori R, Liu K, Soeno S, Naraba H, Ogura K, Hara K, Sonoo T, Ogura T, Nakamura K, Goto T. Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation. JMIR Formative Research 2022;6(6):e36501 View
  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
  54. Ashraf H, Rambarat C, Setteducato M, Winchester D. Implementation effort: Reducing the ordering of inappropriate echocardiograms through a point-of-care decision support tool. American Heart Journal Plus: Cardiology Research and Practice 2022;18:100185 View
  55. Ackermann K, Baker J, Green M, Fullick M, Varinli H, Westbrook J, Li L. Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review. Journal of Medical Internet Research 2022;24(2):e31083 View
  56. Kocher B, Emanuel E. Aligning Incentives for Improving Diagnostic Excellence. JAMA 2022;327(16):1543 View
  57. Knighton A, Kuttler K, Ranade-Kharkar P, Allen L, Throne T, Jacobs J, Carpenter L, Winberg C, Johnson K, Shrestha N, Ferraro J, Wolfe D, Peltan I, Srivastava R, Grissom C. An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome. JAMIA Open 2022;5(2) View
  58. Ranzani A, Catho G, Huttner B. In search of lost time: A timing evaluation of antimicrobial prescribing with and without a computerized decision support system using clinical vignettes. Computers in Biology and Medicine 2022;140:105068 View
  59. Calvo-Cidoncha E, Camacho-Hernando C, Feu F, Pastor-Duran X, Codina-Jané C, Lozano-Rubí R. OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors. BMC Medical Informatics and Decision Making 2022;22(1) View
  60. Liu N, Xie F, Siddiqui F, Ho A, Chakraborty B, Nadarajan G, Tan K, Ong M. Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation. JMIR Research Protocols 2022;11(3):e34201 View
  61. Kiyasseh D, Zhu T, Clifton D. The Promise of Clinical Decision Support Systems Targetting Low-Resource Settings. IEEE Reviews in Biomedical Engineering 2022;15:354 View
  62. Saukkonen P, Elovainio M, Virtanen L, Kaihlanen A, Nadav J, Lääveri T, Vänskä J, Viitanen J, Reponen J, Heponiemi T. The Interplay of Work, Digital Health Usage, and the Perceived Effects of Digitalization on Physicians’ Work: Network Analysis Approach. Journal of Medical Internet Research 2022;24(8):e38714 View
  63. Abedi V, Razavi S, Khan A, Avula V, Tompe A, Poursoroush A, Vafaei Sadr A, Li J, Zand R. Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine. Journal of Clinical Medicine 2021;10(23):5710 View
  64. Silvestri J, Kmiec T, Bishop N, Regli S, Weissman G. Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians. JMIR Human Factors 2022;9(4):e36976 View
  65. Bittmann J, Haefeli W, Seidling H. Modulators Influencing Medication Alert Acceptance: An Explorative Review. Applied Clinical Informatics 2022;13(02):468 View
  66. Skryabin V, Rozochkin I, Zastrozhin M, Lauschke V, Franck J, Bryun E, Sychev D. Meta-analysis of pharmacogenetic clinical decision support systems for the treatment of major depressive disorder. The Pharmacogenomics Journal 2023;23(2-3):45 View
  67. Hamilton A, Strauss A, Martinez D, Hinson J, Levin S, Lin G, Klein E. Machine learning and artificial intelligence: applications in healthcare epidemiology. Antimicrobial Stewardship & Healthcare Epidemiology 2021;1(1) View
  68. Neely L, Carnett A, Quarles J, MacNaul H, Park S, Oyama S, Chen G, Desai K, Najafirad P. The Case for Integrated Advanced Technology in Applied Behavior Analysis. Advances in Neurodevelopmental Disorders 2022 View
  69. Henry K, Adams R, Parent C, Soleimani H, Sridharan A, Johnson L, Hager D, Cosgrove S, Markowski A, Klein E, Chen E, Saheed M, Henley M, Miranda S, Houston K, Linton R, Ahluwalia A, Wu A, Saria S. Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing. Nature Medicine 2022;28(7):1447 View
  70. Chaudhari S, Ghanvatkar S, Kankanhalli A. Personalization of Intervention Timing for Physical Activity: Scoping Review. JMIR mHealth and uHealth 2022;10(2):e31327 View
  71. King H, Wright J, Treanor D, Williams B, Randell R. What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation. Journal of Medical Internet Research 2023;25:e38039 View
  72. Ulloa M, Rothrock B, Ahmad F, Jacobs M. Invisible clinical labor driving the successful integration of AI in healthcare. Frontiers in Computer Science 2022;4 View
  73. Calisto F, Santiago C, Nunes N, Nascimento J. BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions. Artificial Intelligence in Medicine 2022;127:102285 View
  74. Dziorny A, Heneghan J, Bhat M, Karavite D, Sanchez-Pinto L, McArthur J, Muthu N. Clinical Decision Support in the PICU: Implications for Design and Evaluation*. Pediatric Critical Care Medicine 2022;23(8):e392 View
  75. Grote T, Keeling G. Enabling Fairness in Healthcare Through Machine Learning. Ethics and Information Technology 2022;24(3) View
  76. Hwang J, Lee T, Lee H, Byun S. A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study. Journal of Medical Internet Research 2022;24(1):e28659 View
  77. Glock H, Milos Nymberg V, Borgström Bolmsjö B, Holm J, Calling S, Wolff M, Pikkemaat M. Attitudes, Barriers, and Concerns Regarding Telemedicine Among Swedish Primary Care Physicians: A Qualitative Study. International Journal of General Medicine 2021;Volume 14:9237 View
  78. Mlakar I, Smrke U, Flis V, Bergauer A, Kobilica N, Kampič T, Horvat S, Vidovič D, Musil B, Plohl N. A randomized controlled trial for evaluating the impact of integrating a computerized clinical decision support system and a socially assistive humanoid robot into grand rounds during pre/post-operative care. DIGITAL HEALTH 2022;8:205520762211290 View
  79. Wood K, Pergolotti M, Marshall T, Leach H, Sharp J, Campbell G, Williams G, Fu J, Kendig T, Howe N, Bundy A. Usability, acceptability, and implementation strategies for the Exercise in Cancer Evaluation and Decision Support (EXCEEDS) algorithm: a Delphi study. Supportive Care in Cancer 2022;30(9):7407 View
  80. Buck C, Doctor E, Hennrich J, Jöhnk J, Eymann T. General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study. Journal of Medical Internet Research 2022;24(1):e28916 View
  81. Zha H, Liu K, Tang T, Yin Y, Dou B, Jiang L, Yan H, Tian X, Wang R, Xie W. Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model. BMC Medical Informatics and Decision Making 2022;22(1) View
  82. Spiegel M, Simpson A, Philip A, Bell C, Nadig N, Ford D, Goodwin A. Development and implementation of a clinical decision support-based initiative to drive intravenous fluid prescribing. International Journal of Medical Informatics 2021;156:104619 View
  83. Blanes-Selva V, Asensio-Cuesta S, Doñate-Martínez A, Pereira Mesquita F, García-Gómez J. User-centred design of a clinical decision support system for palliative care: Insights from healthcare professionals. DIGITAL HEALTH 2023;9:205520762211507 View
  84. Hughes A, Jackups R. Clinical Decision Support for Laboratory Testing. Clinical Chemistry 2022;68(3):402 View
  85. Ashbury F, Thompson K, Williams C, Williams K. Challenges adopting next-generation sequencing in community oncology practice. Current Opinion in Oncology 2021;33(5):507 View
  86. Jones E, Banks A, Melton G, Porta C, Tignanelli C. Barriers to and Facilitators for Acceptance of Comprehensive Clinical Decision Support System–Driven Care Maps for Patients With Thoracic Trauma: Interview Study Among Health Care Providers and Nurses. JMIR Human Factors 2022;9(1):e29019 View
  87. van Gils A, Visser L, Hendriksen H, Georges J, Muller M, Bouwman F, van der Flier W, Rhodius-Meester H. Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study. JMIR Formative Research 2021;5(12):e31053 View
  88. Simkute A, Luger E, Jones B, Evans M, Jones R. Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable. Journal of Responsible Technology 2021;7-8:100017 View
  89. Frangoudes F, Matsangidou M, Schiza E, Neokleous K, Pattichis C. Assessing Human Motion During Exercise Using Machine Learning: A Literature Review. IEEE Access 2022;10:86874 View
  90. Vuong L, Kenney R, Thomson J, Faison D, Church B, McCollom R, Gunaga S, Cahill M, Slezak M, Davis S, Veve M. Implementation of indication-based antibiotic order sentences improves antibiotic use in emergency departments. The American Journal of Emergency Medicine 2023;69:5 View
  91. Albahar F, Abu-Farha R, Alshogran O, Alhamad H, Curtis C, Marriott J. Healthcare Professionals’ Perceptions, Barriers, and Facilitators towards Adopting Computerised Clinical Decision Support Systems in Antimicrobial Stewardship in Jordanian Hospitals. Healthcare 2023;11(6):836 View
  92. Calvo-Cidoncha E, Verdinelli J, González-Bueno J, López-Soto A, Camacho-Hernando C, Pastor-Duran X, Codina-Jané C, Lozano-Rubí R. An ontology based approach to improve medication appropriateness in older patients (Preprint). JMIR Medical Informatics 2023 View
  93. Calisto F, Nunes N, Nascimento J. Modeling Adoption of Intelligent Agents in Medical Imaging. SSRN Electronic Journal 2022 View
  94. Yang J, Shu K, Peng Y, Hsu S, Chiu Y, Pai M, Wu H, Tsai W, Tung K, Kuo R. Physician Compliance With a Computerized Clinical Decision Support System for Anemia Management of Patients With End-stage Kidney Disease on Hemodialysis: Retrospective Electronic Health Record Observational Study. JMIR Formative Research 2023;7:e44373 View

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