Portable AI Medical Record System for Emergency Data Access
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Solution Overview
Problem
Current electronic medical record systems face challenges in providing timely and accessible patient medical information across healthcare providers due to lack of standards, leading to redundant and incomplete records, which hinders diagnosis and treatment, especially in emergency situations.
Innovation Solution
A portable, patient-controlled system utilizing artificial intelligence (AI) for analyzing medical data, integrating Health Level 7 protocol for real-time communication, and incorporating fuzzy logic, knowledge bases, and decision support systems to provide comprehensive and up-to-date medical information to authorized entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If medical records are stored in multiple separate databases (accounting/billing, symptoms, laboratory results), then each database can be optimized for its specific purpose, but the records become redundant and incomplete, making it difficult to access comprehensive patient information
Solution Approach 1:
The patent merges multiple separate medical record databases (accounting/billing, symptoms, laboratory results) into a single standardized electronic medical record system. This consolidation eliminates redundancy and ensures completeness of patient information by integrating all data types into one accessible repository, while maintaining the functional benefits of specialized data collection through standardized fields and structures.
2Reliability
If medical records are stored locally at physician offices, then records are secure and organized, but they become inaccessible to patients and other healthcare providers, especially in emergency situations or when patients travel
Solution Approach 1:
The patent implements a universal electronic medical record system that serves multiple functions and users simultaneously. The standardized records can be accessed by patients, their current physicians, previous physicians, hospitals, and insurance companies through a common platform. This multi-functional approach maintains security through controlled access while enabling universal accessibility across different healthcare providers and settings, eliminating the limitations of locally-stored paper records.
3Adaptability or versatility
If medical information is standardized using Health Level 7 protocol, then compatibility and exchangeability improve, but system complexity increases due to implementation requirements
Solution Approach 1:
The patent applies parameter changes by adopting the Health Level 7 (HL7) communication standard to standardize data exchange between different healthcare systems. This parameter standardization enables compatibility and exchangeability of medical records across diverse platforms. The system manages the associated complexity through structured implementation of HL7 protocols, transforming the variability of proprietary formats into standardized, interoperable data structures that facilitate seamless information exchange while maintaining manageable system complexity through proven industry standards.
Data Source
AI summary
A system for personal medical care, intelligent analysis and diagnosis may include: at least one source of medical information; at least one source of personal medical data for at least one patient; and one or more servers, where the medical information and the personal medical data are accessible to the server(s). The server(s) may include: an artificial intelligence (AI) component for analyzing the personal medical data with the medical information and identifying at least one issue requiring follow-up by the patient or by at least one external authorized entity; and at least one real-time communication link for bi-directional communication with at least one external authorized entity.