Enhancing Medical Knowledge Sharing and Decision Support with AI- Driven Collaborative Platforms in Healthcare

Healthcare professionals require efficient systems for instant collaboration, continuous learning, and informed decision-making. While digital tools exist, they often lack tailored AI integration for medical contexts. This paper proposes an advanced, AI-enhanced collaborative platform focused on medical knowledge exchange, contextual query resolution, and decision support. Through modular architecture and semantic AI models, the platform encourages evidence-based practice, personalized learning, and expert-led discussions. Real-time updates, role-based access, and secure communication protocols ensure adaptability in dynamic healthcare settings. Evaluation shows improved knowledge dissemination and user engagement, pointing to future possibilities of AI- driven support in clinical practice. Keywords: Medical Collaboration, Semantic AI, Decision Support System, NLP in Healthcare, Medical Forums.

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-04-19
DOI
https://doi.org/10.55041/isjem02920
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Medical Knowledge Sharing and Decision Support with AI- Driven Collaborative Platforms in Healthcare

Ashvini Bamanikar
International Scientific Journal of Engineering and Management
Artificial Intelligence in Healthcare
article

Enhancing Medical Knowledge Sharing and Decision Support with AI- Driven Collaborative Platforms in Healthcare

Ashvini Bamanikar
article en

Abstract

Healthcare professionals require efficient systems for instant collaboration, continuous learning, and informed decision-making. While digital tools exist, they often lack tailored AI integration for medical contexts. This paper proposes an advanced, AI-enhanced collaborative platform focused on medical knowledge exchange, contextual query resolution, and decision support. Through modular architecture and semantic AI models, the platform encourages evidence-based practice, personalized learning, and expert-led discussions. Real-time updates, role-based access, and secure communication protocols ensure adaptability in dynamic healthcare settings. Evaluation shows improved knowledge dissemination and user engagement, pointing to future possibilities of AI- driven support in clinical practice. Keywords: Medical Collaboration, Semantic AI, Decision Support System, NLP in Healthcare, Medical Forums.

International Scientific Journal of Engineering and ManagementVol. 04(04)
Openalex Percentile: Top 91%
Artificial Intelligence in Healthcare
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