Innovation in healthcare management plays a critical role in improving the effectiveness, efficiency, and quality of healthcare delivery in rapidly evolving health systems. Digital transformation enables healthcare organisations to adopt more agile, data-driven, and patient-centered management models that respond effectively to growing clinical and operational demands. The objective of this study is to examine key innovations in healthcare management, with particular emphasis on digital health technologies, artificial intelligence, patient-centric care models, data security, and leadership development. A descriptive analytical approach was employed, synthesizing evidence from healthcare management practices, digital health implementation experiences, and organisational performance frameworks. The analysis focused on the role of telehealth, electronic health records, healthcare analytics, and artificial intelligence in supporting decision-making, optimising resource allocation, and improving care coordination. The findings indicate that digital health tools enhance accessibility to healthcare services, streamline administrative processes, and support evidence-based management through real-time data insights. Artificial intelligence contributes to improved diagnostic accuracy, predictive planning, personalised treatment strategies, and operational efficiency, while patient-centric care models strengthen patient engagement and satisfaction. The study also highlights the growing importance of data security, privacy governance, and regulatory compliance in managing large volumes of sensitive health information. Additionally, effective leadership, professional development, and technological literacy among healthcare managers were identified as essential enablers of successful innovation adoption. In conclusion, healthcare management innovations are transforming healthcare systems by improving service integration, operational sustainability, and patient outcomes. Strategic investment in digital infrastructure, data security, and leadership capacity is essential to ensure that healthcare systems remain resilient, efficient, and responsive to future healthcare challenges.
| Published in | Abstract Book of the Conference on Digital Healthcare and Healthcare Systems Management |
| Page(s) | 5-5 |
| Creative Commons |
This is an Open Access abstract, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Digital Healthcare, Healthcare Management, Innovation, Artificial Intelligence, Patient-centered Care, Health Information Systems, Data Security