Stateless Patient History Module for Accurate Data Integration
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Solution Overview
Problem
Current methods for gathering patient medical history face challenges such as incomplete data due to rushed or uncomfortable patients, lack of access to history, and compliance with privacy laws like HIPAA, which restrict data access and require audit trails, making it difficult to obtain and process accurate and comprehensive patient information for healthcare records.
Innovation Solution
A system and method for receiving and processing patient medical information that involves transmitting questions and receiving responses, applying clinical terminology codes, and integrating the data into electronic health records, utilizing a stateless architecture to maintain interview history state on a separate server or end-user device, allowing for secure and efficient data collection and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patient medical history is gathered through traditional methods (hand-written forms or natural language processing), then data collection can be performed, but the data completeness and accuracy deteriorate due to rushed patients, patient comfort issues, and lack of access to history
Solution Approach 1:
The system performs preliminary action by collecting and codifying patient medical history data before the actual healthcare encounter. The stateless patient history module gathers comprehensive patient information, applies clinical terminology codes, and prepares structured data in advance, allowing providers to access complete and accurate history without rushing patients during the appointment.
2Loss of information
If comprehensive patient history data is collected and stored, then better diagnostic and treatment information is available, but privacy law compliance and data security requirements increase complexity
Solution Approach 1:
The system extracts and separates the data codification and state management functions from the core processing system. By using a stateless architecture where the patient history module does not retain state between requests, and instead stores codified data in external storage systems, the solution reduces system complexity while maintaining complete and accurate patient information.
3Ease of manufacture
If a stateful system is used to maintain interview history state, then data processing can be simplified, but data security and privacy compliance become more difficult to ensure
Solution Approach 1:
The system introduces an intermediary approach by using external storage systems and session management mechanisms that separate state maintenance from core data processing. The stateless patient history module communicates through standardized interfaces, allowing simplified processing while maintaining privacy compliance through controlled access and audit capabilities in the external storage layer.
4Adaptability or versatility
If clinical terminology codes are applied to patient responses, then data integration with electronic health records is improved, but data processing time and computational requirements increase
Solution Approach 1:
The system applies clinical terminology codes to patient responses as a preliminary action during the data collection phase. By codifying data in advance using standardized medical terminologies, the system enables seamless integration with electronic health records and reduces processing time during actual healthcare encounters, as the data is already structured and coded.
Data Source
AI summary
A system and method for receiving and processing patient medical information for integration into third party applications, including patient medical records, billing systems, and reporting systems. The method may be implemented as a software as a service application separate from the middle tier application server or other computer system implementing the third party application. In addition, the system may operate in a stateless environment in which the computer system running the SaaS application may not retain the patient medical information or data relating to a patient history interview state.