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Escalating Artificial Intelligence-Enabled Clinical Decision Support Systems to Enhance Home-Based Care: A Study on Healthcare Supply Chains
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Author(s): Manu Sharna (Graphic Era University, India), Priyanka Gupta (Graphic Era University, India), Janmejai Kumar Shah (Graphic Era University, India)and Sudhanshu Joshi (Doon University, India)
Copyright: 2025
Pages: 16
Source title:
Driving Global Health and Sustainable Development Goals With Smart Technology
Source Author(s)/Editor(s): Mohit Kukreti (University of Technology and Applied Sceinces, Oman), Sabina Sehajpal (Chandigarh University, India), Rajesh Tiwari (Graphic Era University, India)and Kiran Sood (Chitkara University, India)
DOI: 10.4018/979-8-3373-0240-9.ch005
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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.
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