SANTESYS: AN AI-DRIVEN HEALTHCARE PLATFORM FOR DIAGNOSIS AND AUTO-GENERATED SOAP NOTES

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-15
DOI
https://doi.org/10.5281/zenodo.17120375
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

SANTESYS: AN AI-DRIVEN HEALTHCARE PLATFORM FOR DIAGNOSIS AND AUTO-GENERATED SOAP NOTES

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

SANTESYS: AN AI-DRIVEN HEALTHCARE PLATFORM FOR DIAGNOSIS AND AUTO-GENERATED SOAP NOTES

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Delhi Technological University (IN)
Openalex Percentile: Top 42%
Geochemistry and Geologic Mapping
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SANTESYS: AN AI-DRIVEN HEALTHCARE PLATFORM FOR DIAGNOSIS AND AUTO-GENERATED SOAP NOTES · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS