Medical Data System Structuring for User-Specific Display
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Solution Overview
Problem
Managing and providing effective medical information from various sources is challenging due to the complexity and volume of data, making it difficult for healthcare providers to make accurate and cost-effective medical evaluations.
Innovation Solution
A computer-based system with a database and user interface modules that process and display medical records in a selectable format, tailored to the understanding level of each user, allowing for easy access to medical terminology, diagnoses, treatments, and evaluations, while preserving patient anonymity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If medical information is stored in multiple formats from many sources, then the quantity and variety of medical data increases, but the difficulty of managing and accessing this information increases
Solution Approach 1:
The system segments medical information into structured components (patient demographics, clinical data, diagnoses, treatments, evaluations) stored in separate database tables. This segmentation allows efficient management and retrieval of specific information types without handling the entire dataset, resolving the contradiction between information volume and management complexity.
Solution Approach 2:
The patent introduces an intermediary processing layer that converts unstructured or semi-structured medical records into standardized structured formats using natural language processing and pattern recognition. This intermediary transformation enables systematic management of diverse medical data sources, reducing the complexity of handling multi-format information.
2Loss of information
If all medical information is displayed to users, then completeness of information is improved, but the ease of understanding and accessibility for users with different knowledge levels deteriorates
Solution Approach 1:
The system applies local quality by tailoring the presentation of medical information to individual user profiles and knowledge levels. Users can access information at different depths - from simplified summaries for patients to detailed clinical data for healthcare providers - while the complete structured database remains intact. This resolves the contradiction by providing appropriate information complexity at each access point.
Solution Approach 2:
The patent implements dynamic information presentation that adapts to user needs and interactions. The system can dynamically adjust the level of detail, format, and terminology based on user preferences, roles, and previous interactions, allowing complete information to be accessible in multiple representations that match different understanding levels.
3Adaptability or versatility
If medical records are processed and converted into selectable formats, then the adaptability of information presentation is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-processing and structuring medical records into standardized formats during data entry and initial processing. This upfront structuring creates a flexible foundation that enables rapid generation of various output formats without extensive real-time processing, resolving the contradiction between format adaptability and processing time.
Solution Approach 2:
The patent utilizes parameter changes by storing medical information with multiple potential representation parameters (different levels of abstraction, formatting options, language complexities). The system can efficiently switch between these pre-configured parameters to generate different selectable formats without reprocessing the core data, reducing conversion time while maintaining versatility.
4Measurement precision
If prompts are provided to users for additional medical information, then the accuracy and completeness of medical evaluations is improved, but the time required for data collection increases
Solution Approach 1:
The system implements feedback mechanisms where the structured database and processing algorithms automatically identify missing or incomplete information based on clinical guidelines and patient data patterns. The system provides targeted prompts only when specific information gaps are detected, rather than requesting all possible data, thus improving accuracy while minimizing time investment.
Solution Approach 2:
The patent applies partial action by requesting only the specific additional information needed to complete accurate evaluations, rather than collecting all possible medical data. The system determines the minimum necessary information based on the clinical context and provides prompts selectively, achieving high measurement precision without excessive time consumption.
Data Source
AI summary
The present application regards a system and method including database(s) of medical records, processed medical records, user profile information and electronic medical information including information associated with medical terminology associated with diagnoses, treatments and evaluations. A first user interface module is configured to provide prompts for information regarding electronic medical information, and to receive and store responses to the prompts. Further, an electronic medical record processing module converts a medical record into a processed medical record. Further, a second user interface module displays the processed medical record and at least some corresponding information to a first user in accordance with electronic user profile information associated with the first user, and displays the processed medical record and at least some different corresponding information regarding at least one different medical term from the medical record to a second user in accordance with user profile information associated with the second user.