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Copyright (c) 2026 Devita Nadila, Radityo Fajar Arianto (Author)

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Medical Personnel’s Perceptions of the Implementation of Artificial Intelligence at Hospital Context
Corresponding Author(s) : Devita Nadila
Jurnal Minds: Manajemen Ide dan Inspirasi,
Vol. 13 No. 1 (2026): June
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- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
- Alrashed, H., et al. (2023). Trust and emotional readiness in AI adoption among physicians. BMC Medical Informatics and Decision Making, 23(1), 88. https://doi.org/10.1186/s12911-023-02088-1
- Bougie, R., & Sekaran, U. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.
- Castello, M., et al. (2022). Motivational and emotional factors in AI training for clinical practice. International Journal of Medical Systems, 46(4), 78–90. https://doi.org/10.1007/s10916-022-01876-4
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2022). Multivariate data analysis (8th ed.). Cengage Learning.
- Hansson, S. O., & Fröding, B. (2024). Digital technology in healthcare—An ethical overview. Digital Society, 3(46). https://doi.org/10.1007/s44206-024-00121-2
- Kelly, B. S., Judge, C., Bollard, S. M., Clifford, S. M., Healy, G. M., & Killeen, R. P. (2022). Radiology artificial intelligence: A systematic review and evaluation of methods (RAISE). European Radiology, 32, 1234–1245. https://doi.org/10.1007/s00330-022-08784-6
- Koenig, J. (2024). Attitudes toward artificial intelligence: Combining three theoretical perspectives on technology acceptance. AI & Society, 39(1), 45–62. https://doi.org/10.1007/s00146-024-01987-z
- Kumah, E. (2025a). Artificial intelligence in healthcare and its implications for patient-centered care. BMC Health Services Research, 25(1), 112. https://doi.org/10.1186/s12982-025-00924-9
- Kumah, E. (2025b). Behavioral intentions and organizational support in AI integration: Evidence from hospital settings. Health Technology Management Review, 12(3), 101–115. https://doi.org/10.1177/HTMR.2025.003
- Montag, C., et al. (2024). Affective neuroscience perspectives on human-AI interaction in healthcare. Frontiers in Psychology, 15, 1123. https://doi.org/10.3389/fpsyg.2024.01123
- Ringle, C. M. (2024). SmartPLS 4 user manual (Version 4.1.1.4). SmartPLS GmbH.
- Roveta, A., et al. (2023). Artificial intelligence in medical education: Opportunities and challenges. Medical Teacher, 45(2), 123–130. https://doi.org/10.1080/0142159X.2023.1234567
- Sarstedt, M., Ringle, C. M., & Hair, J. F. (2023). Advanced issues in partial least squares structural equation modeling (2nd ed.). SAGE Publications.
- Seeram, E., & Kanade, A. (2024). Artificial intelligence in medical imaging technology: An introduction. Springer. https://doi.org/10.1007/978-3-031-64049-0
- Subhaktiyasa, I. G. N. (2024). Pengaruh persepsi terhadap adopsi teknologi berbasis AI di sektor kesehatan. Jurnal Teknologi dan Sistem Informasi Kesehatan, 12(1), 45–57.
- Tang, A., Tam, R., Cadrin-Chênevert, A., Guest, W., Chong, J., Barfett, J., ... & Canadian Association of Radiologists AI Working Group. (2021). Canadian Association of Radiologists white paper on artificial intelligence in radiology. Canadian Association of Radiologists Journal, 72(1), 67–81. https://doi.org/10.1177/0846537120979414
- Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
- Zhang, Y., et al. (2024). Digital literacy and AI adoption among healthcare professionals: A structural equation approach. Journal of Health Informatics, 18(1), 45–59. https://doi.org/10.1016/j.jhi.2024.01.005
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alrashed, H., et al. (2023). Trust and emotional readiness in AI adoption among physicians. BMC Medical Informatics and Decision Making, 23(1), 88. https://doi.org/10.1186/s12911-023-02088-1
Bougie, R., & Sekaran, U. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.
Castello, M., et al. (2022). Motivational and emotional factors in AI training for clinical practice. International Journal of Medical Systems, 46(4), 78–90. https://doi.org/10.1007/s10916-022-01876-4
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2022). Multivariate data analysis (8th ed.). Cengage Learning.
Hansson, S. O., & Fröding, B. (2024). Digital technology in healthcare—An ethical overview. Digital Society, 3(46). https://doi.org/10.1007/s44206-024-00121-2
Kelly, B. S., Judge, C., Bollard, S. M., Clifford, S. M., Healy, G. M., & Killeen, R. P. (2022). Radiology artificial intelligence: A systematic review and evaluation of methods (RAISE). European Radiology, 32, 1234–1245. https://doi.org/10.1007/s00330-022-08784-6
Koenig, J. (2024). Attitudes toward artificial intelligence: Combining three theoretical perspectives on technology acceptance. AI & Society, 39(1), 45–62. https://doi.org/10.1007/s00146-024-01987-z
Kumah, E. (2025a). Artificial intelligence in healthcare and its implications for patient-centered care. BMC Health Services Research, 25(1), 112. https://doi.org/10.1186/s12982-025-00924-9
Kumah, E. (2025b). Behavioral intentions and organizational support in AI integration: Evidence from hospital settings. Health Technology Management Review, 12(3), 101–115. https://doi.org/10.1177/HTMR.2025.003
Montag, C., et al. (2024). Affective neuroscience perspectives on human-AI interaction in healthcare. Frontiers in Psychology, 15, 1123. https://doi.org/10.3389/fpsyg.2024.01123
Ringle, C. M. (2024). SmartPLS 4 user manual (Version 4.1.1.4). SmartPLS GmbH.
Roveta, A., et al. (2023). Artificial intelligence in medical education: Opportunities and challenges. Medical Teacher, 45(2), 123–130. https://doi.org/10.1080/0142159X.2023.1234567
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2023). Advanced issues in partial least squares structural equation modeling (2nd ed.). SAGE Publications.
Seeram, E., & Kanade, A. (2024). Artificial intelligence in medical imaging technology: An introduction. Springer. https://doi.org/10.1007/978-3-031-64049-0
Subhaktiyasa, I. G. N. (2024). Pengaruh persepsi terhadap adopsi teknologi berbasis AI di sektor kesehatan. Jurnal Teknologi dan Sistem Informasi Kesehatan, 12(1), 45–57.
Tang, A., Tam, R., Cadrin-Chênevert, A., Guest, W., Chong, J., Barfett, J., ... & Canadian Association of Radiologists AI Working Group. (2021). Canadian Association of Radiologists white paper on artificial intelligence in radiology. Canadian Association of Radiologists Journal, 72(1), 67–81. https://doi.org/10.1177/0846537120979414
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Zhang, Y., et al. (2024). Digital literacy and AI adoption among healthcare professionals: A structural equation approach. Journal of Health Informatics, 18(1), 45–59. https://doi.org/10.1016/j.jhi.2024.01.005