Santesys: an Ai-driven Healthcare Platform for Diagnosis and Auto-generated Soap Notes
Year: 2025
Type: article
Abstract: The global healthcare sector faces critical challenges, including overcrowded hospitals, delayed emergency care, and inefficient triage for non-critical conditions. This paper presents SanteSYS, an AI-driven healthcare platform integrating a symptom analysis chatbot and real-time hospital locator to address these gaps. Leveraging Cohere API for natural language processing (NLP) and Google Maps API for geolocation, SanteSYS achieves 89.2% diagnostic accuracy (F1-score) on a curated dataset of 15,000+ patient cases. The system reduces unnecessary hospital visits by 40% in user trials and locates emergency facilities 30% faster than traditional methods. Key innovations include hybrid NLP-geolocation architecture, HIPAA-compliant data encryption, and integration with wearable devices for personalized care. Experimental results and comparative analysis demonstrate SanteSYS’s potential to alleviate healthcare inefficiencies while ensuring scalability and ethical AI practices.
Authors: Naveen Kumar, Naman Garg, Nilesh Garhwar, Virender Ranga
Institution: Delhi Technological University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7081653984
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