Clinician Profile Tracking System for Credentialing Verification
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Solution Overview
Problem
Current web-based profile platforms lack credibility and trustworthiness, particularly in healthcare settings, as they aggregate information without establishing authenticity, making it difficult for agencies to verify the reliability and qualifications of clinicians for clinical trials.
Innovation Solution
A computer-implemented method and system that tracks changes in clinician profiles by retrieving and staging profile information from multiple sources, splitting it into data types, storing and updating it in a database, and generating notifications based on changes, which helps in determining a crowdsourced credentialing index to assess reliability over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If profile information is aggregated from multiple sources without verification, then the quantity and completeness of profile data is improved, but the reliability and credibility of the information deteriorates
Solution Approach 1:
The system performs preliminary verification actions by checking credentialing information against multiple authoritative sources before aggregating it into the profile. This includes validating licenses, certifications, and employment history against designated credentialing sources, ensuring that only verified information is included in the aggregated profile data.
Solution Approach 2:
The system implements feedback mechanisms where profile information is continuously verified and updated against credentialing sources. Changes in credentialing status are detected and fed back to update the profile, ensuring ongoing reliability while maintaining comprehensive information through continuous verification cycles.
2Reliability
If credentialing information is updated frequently to maintain accuracy, then the reliability of profile information is improved, but the loss of time and computational resources deteriorates
Solution Approach 1:
The system performs credentialing verification at periodic intervals rather than continuously. Profile information is updated at scheduled times by checking against credentialing sources, maintaining reliability through regular updates while avoiding the time and resource waste of continuous verification processes.
Solution Approach 2:
The system enables self-service mechanisms where profile holders can notify the system of credentialing changes, and the system automatically verifies and updates information. This reduces the need for frequent automated checks by leveraging user-initiated updates combined with automated verification when needed.
3Ease of operation
If profile data is structured and stored in a database for easy access, then the ease of operation and retrieval is improved, but the device complexity and data management burden increases
Solution Approach 1:
The system segments profile information into distinct structured components such as personal information, credentialing data, employment history, and verification status. Each segment is stored in organized database fields with specific data types, enabling efficient retrieval while maintaining manageable data structure through clear separation of information categories.
4Reliability
If changes in profile information are tracked and notified in real-time, then the reliability and timeliness of information is improved, but the use of energy and computational resources deteriorates
Solution Approach 1:
The system uses intermediary mechanisms such as scheduled batch processing and event-driven architectures to track and notify changes. Instead of continuous real-time monitoring, changes are detected at intermediate points through scheduled checks or triggered events, maintaining information timeliness while reducing computational overhead by processing updates only when necessary.
Data Source
AI summary
A method and networking device for tracking change in a computer executable profile includes retrieving computer executable profile information. The method and device may include staging the computer executable profile information in cloud staging repositories. The method and device may include splitting the computer executable profile information into constituent data types. The method and device may include defining a plurality of computer executable profile fields and corresponding profile information components. The method and device may include storing the computer executable profile information as initial computer executable profile information in a database. The method and device may include retrieving second computer executable profile information at a later time. The method and device may include mapping the initial computer executable profile information with the second computer executable profile information to identify changes.


