AI-Enabled Transformational Leadership for Improving Healthcare Workforce and Performance Improvement
DOI:
https://doi.org/10.14419/tzbx7934Keywords:
AI-enabled Leadership; Transformational Leadership; Healthcare Workforce; Performance Improvement; AI in Healthcare; Leadership Optimization; Digital Transformation; Workforce Engagement; Healthcare Innovation; Artificial Intelligence.Abstract
AI-enabled transformational leadership is emerging as a pivotal force in reshaping healthcare workforce management and performance improvement. By leveraging artificial intelligence, healthcare leaders can enhance decision-making, optimize resource allocation, and foster a more adaptive and efficient work environment. This study explores the integration of AI-driven tools with transformational leadership principles to improve workforce motivation, engagement, and operational efficiency. It analyzes the effects of AI-supported leadership in terms of improving patient care, enhancing staff productivity, and better healthcare performance. This study employs a mixed-methods approach, examining case studies alongside survey data and AI-based analytics to yield insights into best practices and challenges in the implementation of AI-driven leadership. These discoveries further shed light on the potential benefits of incorporating AI into leadership, operational processes within healthcare and improving clinical results while tackling associated ethical and technological challenges.
References
- Amit, P. P. (2018). A study on the influence of leadership style on employee job satisfaction. International Academic Journal of Organizational Be-havior and Human Resource Management, 5(1), 36–62. https://doi.org/10.9756/IAJOBHRM/V5I1/1810003
- Avolio, B. J., & Bass, B. M. (2004). Multifactor leadership questionnaire: Manual and sampler set. Mind Garden, Inc.
- Khatimah, H., Halim, F., & Am Eltahir, A. O. (2025). Digital Leadership On Sme's Sustainability Performance of Sharia Fintech. Calitatea, 26(205), 270-279.
- Bass, B. M. (1990). From transactional to transformational leadership: Learning to share the vision. Organizational Dynamics, 18(3), 19–31.
- Brynjolfsson, E., &Mcafee, A. N. D. R. E. W. (2017). The business of artificial intelligence. Harvard business review, 7(1), 1-2.
- Davenport, T. H., &Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
- Dhage, P. C., Thakker, R. A., &Warhade, K. K. (2024). Security mechanism in MAMATA healthcare system using rule based algorithm for mater-nal hospitals and pathology laboratories. Journal of Internet Services and Information Security, 14(4), 292–311. https://doi.org/10.58346/JISIS.2024.I4.018
- Sindhu, S. (2025). Mathematical analysis of vibration attenuation in smart structures using piezoelectric layers. Journal of Applied Mathematical Models in Engineering, 1(1), 26–32.
- Diwakar, & Roy, J. (2024). The role of data analytics in digital transformation: A study of how firms leverage data for insights. Indian Journal of Information Sources and Services, 14(4), 29–34. https://doi.org/10.51983/ijiss-2024.14.4.05
- Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of big data–evolution, challenges and re-search agenda. International Journal of Information Management, 48, 63–71.
- Torres, J., & López, M. (2024). Impact of Innovation on the Business Model on Organizational Quality and Competitiveness. National Journal of Quality, Innovation, and Business Excellence, 1(1), 1-6.
- Dwivedi, Y. K., Hughes, L., &Buhalis, D. (2021). Artificial intelligence (AI) in the post COVID 19 era: Challenges and opportunities for business-es and society. International Journal of Information Management, 57, 102287.
- Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707.
- Wang, B., & Hao, J. L. (2024). Cultural Tourism and Community-Led Conservation: Case Studies from Africa. Journal of Tourism, Culture, and Management Studies, 1(1), 11-19.
- Gilmartin, M. J., &D’Aunno, T. A. (2007). Leadership research in healthcare: A review and roadmap. The Academy of Management Annals, 1(1), 387–438.
- Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230–243.
- Kaplan, A., &Haenlein, M. (2019). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 62(1), 53–62.
- Kavitha, M. (2025). Breaking the silicon ceiling: A comparative analysis of women’s leadership and participation in AI startups across global inno-vation hubs. Journal of Women, Innovation, and Technological Empowerment, 1(1), 1–6.
- Khaleel, S. A., & Ahmed, M. D. (2022). The impact of transformational leadership practices in sustainable marketing (applied research in the Gen-eral Company for Dairy Products). International Academic Journal of Business Management, 9(2), 22–39. https://doi.org/10.9756/IAJBM/V9I2/IAJBM0908
- Lafta, J. M. (2021). Britain and European Union, the Repercussions of Accession and the Effects of Secession. International Academic Journal of Social Sciences, 11(1), 05–10. https://doi.org/10.9756/IAJSS/V11I1/IAJSS1102
- Makridakis, S. (2017). The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46–60.
- McKinsey Global Institute. (2021). The future of work after COVID 19. McKinsey & Company.
- Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future—Big data, machine learning, and clinical medicine. New England Journal of Medi-cine, 375(13), 1216–1219.
- Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J. F., Breazeal, C., Wellman, M. (2019). Machine behaviour. Nature, 568(7753), 477–486.
- Vishnupriya, T. (2025). Real-time infrared thermographic characterization of functionally graded materials under thermomechanical loads in high-temperature combustion chambers. Advances in Mechanical Engineering and Applications, 1(1), 32–40.
- Sachdeva, L., & Upadhyay, N. (2024). Digital transformation and sustainability: A study of how firms use digital to achieve sustainable goals. In-dian Journal of Information Sources and Services, 14(4), 42–47. https://doi.org/10.51983/ijiss-2024.14.4.07
- Sharma, T., Mithas, S., &Kankanhalli, A. (2020). Transforming decision making processes: A review of AI based applications in business and man-agement research. MIS Quarterly, 44(2), 765–809.
- Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
- Wan, Q., & Hu, X. (2024). Legal framework for security of organ transplant information in the digital age with biotechnology. Natural and Engi-neering Sciences, 9(2), 73–93. https://doi.org/10.28978/nesciences.1569190
- West, D. M., Villasenor, J., & Allen, J. R. (2018). How artificial intelligence is transforming the world. Brookings Institution Report.
- Abdullah, D. (2025). Redox Flow Batteries for Long-Duration Energy Storage: Challenges and Emerging Solutions. Transactions on Energy Stor-age Systems and Innovation, 1(1), 9-16.
- Prasath, C. A. (2025). Transformerless Inverter Technologies for Compact And High-Efficiency PV Applications. Transactions on Power Electron-ics and Renewable Energy Systems, 36-43.
- Kavitha, M. (2025). Design and Optimization of High-Speed Synchronous Reluctance Machines for Industrial Drives. National Journal of Electri-cal Machines & Power Conversion, 1-10.
- Arvinth, N. (2025). Design and Optimization of Ultra-Efficient Brushless DC Drives for Home Appliances. National Journal of Electric Drives and Control Systems, 1-11.
- Madhanraj. (2025).AI-Powered Energy Forecasting Models for Smart Grid-Integrated Solar and Wind Systems.National Journal of Renewable En-ergy Systems and Innovation, 1-7.
- Velliangiri, A. (2025). Reinforcement Learning-Based Adaptive Load Forecasting for Decentralized Smart Grids. National Journal of Intelligent Power Systems and Technology, 1(1), 21-28.
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Received date: May 15, 2025
Accepted date: June 7, 2025
Published date: August 28, 2025