Clinical Documentation Protocol Prompting With Duplicate Finding Merge
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Solution Overview
Problem
Healthcare providers face challenges in identifying and selecting appropriate protocols for documenting patient encounters due to the abundance of available protocols, making it difficult to ensure uniform examination and documentation for reimbursement, regulatory compliance, or research purposes.
Innovation Solution
A system and method for generating a user interface that automatically identifies and merges relevant documentation protocols based on medical findings, filters duplicates, and presents a unified protocol for documentation, using a computing device to search a database of protocols linked to medical findings and assign scores for relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple documentation protocols are included in the medical records system, then compliance with reimbursement and regulatory requirements is improved, but the difficulty of identifying appropriate protocols increases
Solution Approach 1:
The system automatically performs protocol identification and selection without requiring manual intervention from healthcare providers. The processor analyzes patient encounter data and autonomously determines the most appropriate documentation protocols, allowing the system to serve itself rather than relying on user expertise to navigate multiple protocols
Solution Approach 2:
The manual process of identifying and selecting protocols is replaced with an automated computational system. The processor uses algorithms to analyze medical findings and automatically match them with appropriate protocols, substituting human cognitive effort with machine-based pattern recognition and data processing
2Reliability
If multiple documentation protocols are used for patient encounters, then comprehensive documentation is improved, but duplication of medical findings increases
Solution Approach 1:
The system extracts and identifies duplicate medical findings across multiple protocols, separating them from the documentation process. By detecting duplicates, the system removes redundant information while preserving the comprehensive documentation required by multiple protocols
Solution Approach 2:
The system provides feedback about duplicate findings when multiple protocols are applied to a patient encounter. This feedback mechanism allows the system to alert users to redundancies and adjust protocol selection or documentation accordingly, preventing unnecessary duplication while maintaining comprehensive coverage
3Adaptability or versatility
If manual protocol selection is used, then flexibility in protocol choice is maintained, but time for documentation increases
Solution Approach 1:
The system performs preliminary analysis of patient encounter data to pre-identify appropriate protocols before the actual documentation process begins. By preparing protocol recommendations in advance, the system reduces the time required during the documentation phase while maintaining the ability to select from multiple appropriate protocols
Solution Approach 2:
The system acts as an intermediary between patient data and protocol selection, providing automated recommendations that guide healthcare providers. This intermediary function maintains flexibility by presenting multiple protocol options while significantly reducing the time providers would otherwise spend manually evaluating and selecting protocols
Data Source
AI summary
A method of generating a user interface for use in documenting a patient encounter comprises: automatically identifying, with a computing device, at least one documentation protocol based on at least one element of the patient's medical record; and generating a user interface including at least one of the identified documentation protocols, the at least one identified documentation protocol identifying at least one medical finding. A system comprises a data store encoded on a memory device, the data store comprising documentation protocols. The system further comprises an input apparatus. A computing device is in data communication with the data store and the input apparatus. The computing device is programmed to receive findings input through the input apparatus, identify a documentation protocol based on the finding input through the input apparatus, and generate a user interface. The user interface comprising the identified documentation protocol.


