Smart Hospital Admission using AI and Informatica

Abstract - Hospital admissions remain a significant bottleneck in healthcare operations, primarily due to redundant paperwork, repetitive insurance verification, and manual identity authentication. These inefficiencies not only prolong patient waiting times but also increase administrative burden and the risk of human errors. This work proposes an AI-driven Smart Hospital Admission System powered by Informatica Intelligent Data Management Cloud (IDMC), Generative AI (GenAI), and advanced Machine Learning (ML) techniques. The system leverages OCR-based Aadhaar scanning, Natural Language Processing (NLP), and context-aware vector search to automate patient identification, seamlessly retrieve prior medical and insurance records, and validate claims in near real time. Predictive ML models further optimize doctor allocation, resource planning, and fraud detection. The proposed approach is expected to reduce admission time by up to 80%, eliminate manual paperwork, and significantly enhance patient satisfaction, thereby marking a paradigm shift in healthcare digitalization. Key Words: AI, Healthcare Automation, Informatica IDMC, Generative AI, Patient Admission, Insurance Fraud Detection