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

Digital Health Reviews (1186) Artificial Intelligence (1198) Decision Support for Health Professionals (1137) Clinical Information and Decision Making (1328)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32215, first published .
Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review

Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review

Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review

Authors of this article:

Fábio Gama1, 2 Author Orcid Image ;   Daniel Tyskbo3 Author Orcid Image ;   Jens Nygren3 Author Orcid Image ;   James Barlow4 Author Orcid Image ;   Julie Reed3 Author Orcid Image ;   Petra Svedberg3 Author Orcid Image
Article Authors Cited by (45) Tweetations (12) Metrics

Journals

  1. Sharma M, Savage C, Nair M, Larsson I, Svedberg P, Nygren J. Artificial Intelligence Applications in Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(10):e40238 View
  2. khan B, Fatima H, Qureshi A, Kumar S, Hanan A, Hussain J, Abdullah S. Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector. Biomedical Materials & Devices 2023;1(2):731 View
  3. Steerling E, Houston R, Gietzen L, Ogilvie S, de Ruiter H, Nygren J. Examining how Ethics in Relation to Health Technology is Described in the Research Literature: Scoping Review. Interactive Journal of Medical Research 2022;11(2):e38745 View
  4. Petersson L, Larsson I, Nygren J, Nilsen P, Neher M, Reed J, Tyskbo D, Svedberg P. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research 2022;22(1) View
  5. Akudjedu T, Torre S, Khine R, Katsifarakis D, Newman D, Malamateniou C. Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey. Journal of Medical Imaging and Radiation Sciences 2023;54(1):104 View
  6. Nilsen P, Reed J, Nair M, Savage C, Macrae C, Barlow J, Svedberg P, Larsson I, Lundgren L, Nygren J. Realizing the potential of artificial intelligence in healthcare: Learning from intervention, innovation, implementation and improvement sciences. Frontiers in Health Services 2022;2 View
  7. Svedberg P, Reed J, Nilsen P, Barlow J, Macrae C, Nygren J. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Research Protocols 2022;11(3):e34920 View
  8. van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework. Journal of the American Medical Informatics Association 2023;30(7):1349 View
  9. van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. Journal of the American Medical Informatics Association 2023;30(9):1503 View
  10. Fernando M, Abell B, Tyack Z, Donovan T, McPhail S, Naicker S. Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e45163 View
  11. Nilsen P, Svedberg P, Neher M, Nair M, Larsson I, Petersson L, Nygren J. A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project. JMIR Research Protocols 2023;12:e50216 View
  12. Al Kuwaiti A, Nazer K, Al-Reedy A, Al-Shehri S, Al-Muhanna A, Subbarayalu A, Al Muhanna D, Al-Muhanna F. A Review of the Role of Artificial Intelligence in Healthcare. Journal of Personalized Medicine 2023;13(6):951 View
  13. Steerling E, Siira E, Nilsen P, Svedberg P, Nygren J. Implementing AI in healthcare—the relevance of trust: a scoping review. Frontiers in Health Services 2023;3 View
  14. Cresswell K, Rigby M, Magrabi F, Scott P, Brender J, Craven C, Wong Z, Kukhareva P, Ammenwerth E, Georgiou A, Medlock S, De Keizer N, Nykänen P, Prgomet M, Williams R. The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision. Health Policy 2023;136:104889 View
  15. van der Vegt A, Campbell V, Mitchell I, Malycha J, Simpson J, Flenady T, Flabouris A, Lane P, Mehta N, Kalke V, Decoyna J, Es’haghi N, Liu C, Scott I. Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. Journal of the American Medical Informatics Association 2024;31(2):509 View
  16. Abell B, Naicker S, Rodwell D, Donovan T, Tariq A, Baysari M, Blythe R, Parsons R, McPhail S. Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review. Implementation Science 2023;18(1) View
  17. El Naqa I, Karolak A, Luo Y, Folio L, Tarhini A, Rollison D, Parodi K. Translation of AI into oncology clinical practice. Oncogene 2023;42(42):3089 View
  18. Koka S, Burkhart C. Artificial Intelligence in Dermatology: Current Uses, Shortfalls, and Potential Opportunities for Further Implementation in Diagnostics and Care. The Open Dermatology Journal 2023;17(1) View
  19. Brereton T, Malik M, Lifson M, Greenwood J, Peterson K, Overgaard S. The Role of Artificial Intelligence Model Documentation in Translational Science: Scoping Review. Interactive Journal of Medical Research 2023;12:e45903 View
  20. Neher M, Petersson L, Nygren J, Svedberg P, Larsson I, Nilsen P. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications 2023;4(1) View
  21. Ardito V, Cappellaro G, Compagni A, Petracca F, Preti L. Implementation of Machine Learning Applications in Health Care Organizations: Protocol for a Systematic Review of Empirical Studies. JMIR Research Protocols 2023;12:e47971 View
  22. Farah L, Borget I, Martelli N. International Market Access Strategies for Artificial Intelligence–Based Medical Devices: Can We Standardize the Process to Faster Patient Access?. Mayo Clinic Proceedings: Digital Health 2023;1(3):406 View
  23. Nair M, Andersson J, Nygren J, Lundgren L. Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews. JMIR Formative Research 2023;7:e47335 View
  24. Gama F, Magistretti S. Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications. Journal of Product Innovation Management 2023 View
  25. Aggarwal D, Chaturvedi V, Ramachandran A, Singh T. Managing Talent Among Healthcare Human Resource: Strategies for a New Normal. Journal of Health Management 2024;26(2):384 View
  26. Rogan J, Bucci S, Firth J. Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis. JMIR Mental Health 2024;11:e49577 View
  27. Fisch U, Kliem P, Grzonka P, Sutter R. Performance of large language models on advocating the management of meningitis: a comparative qualitative study. BMJ Health & Care Informatics 2024;31(1):e100978 View
  28. Marco-Ruiz L, Hernández M, Ngo P, Makhlysheva A, Svenning T, Dyb K, Chomutare T, Llatas C, Muñoz-Gama J, Tayefi M. A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. International Journal of Medical Informatics 2024;184:105377 View
  29. Trinkley K, An R, Maw A, Glasgow R, Brownson R. Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions. Implementation Science 2024;19(1) View
  30. Ranjbar A, Mork E, Ravn J, Brøgger H, Myrseth P, Østrem H, Hallock H. Managing Risk and Quality of AI in Healthcare: Are Hospitals Ready for Implementation?. Risk Management and Healthcare Policy 2024;Volume 17:877 View
  31. Jokar M, Abdous A, Rahmanian V. AI chatbots in pet health care: Opportunities and challenges for owners. Veterinary Medicine and Science 2024;10(3) View
  32. Bangash S, Khan I, Husnain G, Irfan M, Iqbal A. Revolutionizing Healthcare with Smarter AI: In-depth Exploration of Advancements, Challenges, and Future Directions. VFAST Transactions on Software Engineering 2024;12(1):152 View
  33. Bienefeld N, Keller E, Grote G. Human-AI Teaming in the ICU: A Comparative Analysis of Data Scientists' and Clinicians’ Assessments on AI Augmentation and Automation at Work (Preprint). Journal of Medical Internet Research 2023 View
  34. Khan S, Hoodbhoy Z, Raja M, Kim J, Hogg H, Manji A, Gulamali F, Hasan A, Shaikh A, Tajuddin S, Khan N, Patel M, Balu S, Samad Z, Sendak M, Ni Z. Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review. PLOS Digital Health 2024;3(5):e0000514 View
  35. Bouhouita-Guermech S, Haidar H. Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context. Asian Bioethics Review 2024 View
  36. Park Y, Park S, Lee M. Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review. Journal of Affective Disorders 2024;361:445 View
  37. Sakore S, Devi S, Mahapure P, Kamble M, Jadhav P. Artificial Intelligence Applications in Neonatal Critical Care: A Scoping Review. Journal of Clinical Neonatology 2024;13(3):102 View
  38. Houssein E, Saber E, Ali A, Wazery Y. Integrating metaheuristics and artificial intelligence for healthcare: basics, challenging and future directions. Artificial Intelligence Review 2024;57(8) View

Books/Policy Documents

  1. Aggarwal D, Chaturvedi V, Ramachandran A. Multidisciplinary Perspectives Towards Building a Digitally Competent Society. View
  2. Sonawane U, Komorowski M. Beyond Quantity. View
  3. Singla L, Kaur K, Kaur N. Demystifying the Dark Side of AI in Business. View
  4. Rubeis G. Ethics of Medical AI. View
  5. Rubeis G. Ethics of Medical AI. View
  6. Al Harrasi N, Salah El Din M. Utilizing AI for Assessment, Grading, and Feedback in Higher Education. View