Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{199418,
author = {Prakhar Patni and Kavita Namdev and Manas Purohit and Mohit Gupta and Mranal Sawle and Nikunj Maltare and Piyush Shakya},
title = {VocaCare AI: An Intelligent Voice Based Hospital Management System with Secure EHR Integration},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {15609-15616},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=199418},
abstract = {Hospitals operate under extreme time pressure, where rapid and accurate access to patient information directly affects outcomes. Conventional Hospital Management Systems (HMS) and Electronic Health Record (EHR) platforms rely predominantly on manual, form-based data entry, which burdens clinical workflows, contributes to delays, and increases the risk of documentation errors. This paper presents VocaCare AI, a voice-enabled, real-time hospital management system that supports hands-free CRUD operations on patient records using natural speech. The system couples low-latency audio streaming (LiveKit) with automatic speech recognition (ASR), medical domain–adapted natural language processing (NLP) for intent and entity extraction, secure backend execution (Flask/FastAPI), and immediate audio feedback via text-to-speech (TTS). VocaCare AI integrates role-based access control (RBAC), encryption, and audit logging; supports multilingual input and code- switching; and offers standards-based interoperability with EHRs via HL7 FHIR/HL7 v2. We present the system architecture, security and compliance considerations (HIPAA/GDPR alignment), an implementation blueprint, and a rigorous evaluation protocol covering ASR accuracy, intent/entity performance, end-to-end latency, and task success rates in realistic clinical workflows. VocaCare AI demonstrates a practical path toward safer, faster, and more accurate documentation in emergency and routine care with a modular, scalable design.},
keywords = {AI in Healthcare; Speech Recognition; Natural Language Processing; Hospital Management System; Electronic Health Records; LiveKit; Text-to-Speech; Role-Based Access Control; HL7 FHIR; Multilingual ASR.},
month = {April},
}
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