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

Digital Health Reviews (1318) Artificial Intelligence (1409) Decision Support for Health Professionals (1203) Clinical Information and Decision Making (1426)

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 (69) 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 Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation. Journal of Medical Internet Research 2024;26:e50130 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;16(3):315 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
  39. Sriharan A, Sekercioglu N, Mitchell C, Senkaiahliyan S, Hertelendy A, Porter T, Banaszak-Holl J. Leadership for AI Transformation in Health Care Organization: Scoping Review. Journal of Medical Internet Research 2024;26:e54556 View
  40. Wang Z, Yang W, Li Z, Rong Z, Wang X, Han J, Ma L. A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review. Journal of Medical Internet Research 2024;26:e59711 View
  41. Siira E, Tyskbo D, Nygren J. Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study. BMC Primary Care 2024;25(1) View
  42. Vasdev N, Gupta T, Pawar B, Bain A, Tekade R. Navigating the future of health care with AI-driven digital therapeutics. Drug Discovery Today 2024;29(9):104110 View
  43. Kamel Rahimi A, Pienaar O, Ghadimi M, Canfell O, Pole J, Shrapnel S, van der Vegt A, Sullivan C. Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research 2024;26:e49655 View
  44. Nair M, Svedberg P, Larsson I, Nygren J, Six S. A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design. PLOS ONE 2024;19(8):e0305949 View
  45. 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
  46. Rony M, Numan S, Akter K, Tushar H, Debnath M, Johra F, Akter F, Mondal S, Das M, Uddin M, Begum J, Parvin M. Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare. Heliyon 2024;10(17):e36702 View
  47. Mooghali M, Stroud A, Yoo D, Barry B, Grimshaw A, Ross J, Zhu X, Miller J. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review. BMC Medical Informatics and Decision Making 2024;24(1) View
  48. Tyskbo D, Nygren J. Reconfiguration of uncertainty: Introducing AI for prediction of mortality at the emergency department. Social Science & Medicine 2024;359:117298 View
  49. Mirzaei T, Amini L, Esmaeilzadeh P. Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications. BMC Medical Informatics and Decision Making 2024;24(1) View
  50. Reis F, Carvalho M, Neves G, Nogueira L, Meziat-Filho N. Machine learning methods in physical therapy: A scoping review of applications in clinical context. Musculoskeletal Science and Practice 2024;74:103184 View
  51. Rakers M, van Buchem M, Kucenko S, de Hond A, Kant I, van Smeden M, Moons K, Leeuwenberg A, Chavannes N, Villalobos-Quesada M, van Os H. Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care. JAMA Network Open 2024;7(9):e2432990 View
  52. Sharma N. Use of AI in Pediatric Occupational Therapy: A Review. Rehabilitation Science 2024;9(2):21 View
  53. 白 春, 王 悦, 蒋 维. 元宇宙赋能健康管理的意义及展望. Metaverse in Medicine 2024:16 View
  54. Gautam D, Kellmeyer P. Models for exploring the credibility of large language models for mental health support: Protocol for a scoping review (Preprint). JMIR Research Protocols 2024 View
  55. Crew A, Reidy C, van der Westhuizen H, Graham M. A Narrative Review of Ethical Issues in the Use of Artificial Intelligence Enabled Diagnostics for Diabetic Retinopathy. Journal of Evaluation in Clinical Practice 2024 View
  56. Goh S, Goh R, Chong B, Ng Q, Koh G, Ngiam K, Hartman M. Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: A Systematic Review and Framework for Safe Adoption (Preprint). Journal of Medical Internet Research 2024 View
  57. Hashemian H, Peto T, Ambrósio Jr R, Lengyel I, Kafieh R, Muhammed Noori A, Khorrami-Nezhad M. Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review. Journal of Ophthalmic and Vision Research 2024 View
  58. Preti L, Ardito V, Compagni A, Petracca F, Cappellaro G. Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies. Journal of Medical Internet Research 2024;26:e55897 View
  59. Rochon M, Tanner J, Jurkiewicz J, Beckhelling J, Aondoakaa A, Wilson K, Dhoonmoon L, Underwood M, Mason L, Harris R, Cariaga K, Serra R. Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence (WISDOM AI study). PLOS ONE 2024;19(12):e0315384 View
  60. Lee Y, Park C, Kim H, Cho S, Yeo W. Artificial intelligence on biomedical signals: technologies, applications, and future directions. Med-X 2024;2(1) 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
  7. Sharma A. Revolutionizing the Healthcare Sector with AI. View
  8. Smith G, Ayele W. Information Integration and Web Intelligence. View