Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Role of Artificial Intelligence in Advancing Hospital Management Information Systems: Review Article
6
Zitationen
14
Autoren
2025
Jahr
Abstract
Abstract This review article looks into the critical function of artificial intelligence (AI) in improving hospital management information systems (HMIS). As healthcare systems become more complex, using AI technology provides an opportunity to simplify operations, enhance patient outcomes, and optimize resource management. The study delves into several AI applications in HMIS, including predictive analytics for patient care, natural language processing for efficient documentation, and machine learning algorithms to aid clinical decision-making. The review also addresses the challenges of implementing AI in healthcare settings, such as data privacy concerns, the need for interoperability among diverse systems, and the importance of training healthcare professionals to effectively use these technologies. The article illustrates the benefits and limits of AI integration in HMIS by providing a detailed synthesis of current literature and pertinent case examples. Finally, the findings show that, while AI has the potential to change hospital administration, careful consideration of ethical issues and strategic application is required to fully realize its benefits. This analysis is a valuable resource for healthcare managers and policymakers looking to use AI to improve hospital administration and patient outcomes.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.428 Zit.
Autoren
Institutionen
- Al-Azhar University(EG)
- Ibn Sina National College for Medical Studies(SA)
- Maternity and Children's Hospital(SA)
- Princess Nourah bint Abdulrahman University(SA)
- King Abdulaziz Hospital(SA)
- Ministry of Health(SA)
- Security Forces Hospital(SA)
- King Fahd Medical City(SA)
- Taif University(SA)
- Shaqra University(SA)
- Jeddah University(SA)