Collaborative Medical Record System for Data Completeness
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Solution Overview
Problem
Medical record processing systems face inefficiencies due to incomplete and inaccurate data entry, as they rely on a single information provider who may not have access to all necessary information, leading to delays and reliability issues in generating medical service reports.
Innovation Solution
A collaborative system that detects information deficiencies in primary provider inputs and identifies supportive profiles to provide missing information, using audiovisual interfaces to query relevant providers and generate a comprehensive report in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single information provider is used to complete medical service reports, then the system complexity is reduced, but the completeness and accuracy of data entry deteriorates
Solution Approach 1:
The patent segments the information provision task by identifying multiple different types of providers (physicians, nurses, administrative staff, billing specialists) who each contribute specific portions of the medical service report. This segmentation allows comprehensive data collection while maintaining manageable individual contributor roles.
Solution Approach 2:
The system creates a universal framework that accommodates multiple provider types with different functions. Each provider type has specialized knowledge for specific report sections, yet all contribute to a unified comprehensive report through the collaborative platform.
2Ease of operation
If a single information provider is used, then the ease of operation is improved, but the productivity of report generation deteriorates
Solution Approach 1:
The system performs preliminary actions by automatically identifying which information is missing and which specific providers have the required data. This pre-identification eliminates time-wasting search processes and directs queries only to relevant providers, accelerating report generation.
Solution Approach 2:
The system implements feedback mechanisms where providers receive notifications about specific information requests, provide their inputs, and the system automatically integrates contributions. This structured feedback loop streamlines the collaborative process and maintains operational simplicity despite multiple participants.
3Ease of operation
If sequential processing steps are used, then the ease of operation is improved, but the reliability of task completion deteriorates
Solution Approach 1:
The system acts as an intermediary that coordinates between sequential processing steps and multiple providers. It manages the workflow, tracks information collection progress, and ensures all necessary data is gathered before proceeding to the next processing stage, maintaining both simplicity and reliability.
Solution Approach 2:
The patent replaces manual mechanical coordination of sequential steps with an automated electronic system that tracks dependencies, notifies appropriate providers, and validates information completeness. This substitution maintains process simplicity while significantly improving task completion reliability.
Data Source
AI summary
There is a need for solutions that increase efficiency and reliability of medical record processing systems. This need can be addressed, for example, by receiving a free-form primary provider input from a primary provider profile; detecting one or more information deficiencies in the primary provider input, wherein each information deficiency indicates a respective query; for each identified information deficiency of the one or more information deficiencies, identifying a supportive profile associated with the respective information deficiency, causing the supportive profile computing entity associated with the respective supportive provider profile to present an audiovisual interface that includes an indication of the respective query associated with the information deficiency, and receiving a supportive provider input from each supportive provider profile; and generating a collaborative record for the primary provider input based on the primary provider input and each received supportive provider input.


