Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Escalating Artificial Intelligence-Enabled Clinical Decision Support Systems to Enhance Home-Based Care
0
Zitationen
4
Autoren
2024
Jahr
Abstract
Artificial intelligence is rapidly advancing to replace human-based approaches in Clinical Decision Support Systems (CDSS), which has caused a revolution in the home-based care sector. CDSS provides instant diagnostic and therapeutic suggestions, hence improving the communication and gap between the medical professionals and patients in hard-to-reach areas. This review paper looks into how healthcare supply chains can be optimised through AI, in addition to monitoring the availability of inventory and medical products and predicting what a patient might need. Moreover, the investigation assesses the effectiveness of such systems in the overall consideration of the issue—cost containment and patients' outcomes, especially in chronic illness treatment. The study fits directly to SDGs 3, 9, and 10 since it aims to eliminate health disparities by proactively endorsing home-based healthcare services. This paper gives recommendations to healthcare organisations and government entities, mainly in prospecting how AI would reshape home-based care.
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.