AI-BASED SYSTEM FOR MEDICAL HISTORY INTERVIEWS, ANALYSIS, AND REPORT GENERATION

Smart overview of the Invention

An innovative AI-powered system is designed to conduct medical interviews and generate comprehensive reports. It uses a large language model (LLM) fine-tuned on medical datasets to create interview prompts and refine responses through natural language processing. The system detects incomplete or inconsistent information and provides patient education tailored to their health literacy level. Compliance with data protection regulations like HIPAA and GDPR is ensured through advanced encryption, multi-factor authentication, and secure data storage.

Integration and Features

The system integrates seamlessly with electronic health records (EHR) and offers customizability, scalability, multilingual support, and bias mitigation. It is adaptable to diverse demographic groups, promoting equitable healthcare delivery. The generated medical history report includes a structured clinical summary, provisional diagnoses with ICD-10 codes, clinical analysis, diagnostic evaluation suggestions, and treatment recommendations.

Technical Implementation

The system employs at least one computing device connected to a network and an application server hosting the application program. It communicates interview prompts to user devices and iteratively refines responses using an AI-assisted reasoning engine. This engine conducts structured interviews, adjusts questions based on user input, and provides feedback to ensure accuracy. The report module generates a detailed medical history report from these interactions.

Advanced AI Capabilities

The AI module intelligently constructs interviews by using natural language processing to identify incorrect or incomplete user responses. It rephrases questions as needed and generates a case summary for user review. This iterative process ensures that the final report is accurate and comprehensive. The system's AI capabilities extend beyond static questionnaires, enabling dynamic refinement of prompts for better data gathering.

Security and Compliance

Designed for secure data management, the system complies with HIPAA and GDPR through end-to-end encryption and secure data storage. It facilitates a collaborative environment where admins, team users, and patients can work together towards an enhanced healthcare experience. The integration of AI in this context provides technical improvements over traditional methods by enabling real-time data analysis and seamless information sharing among authorized providers.