Receiver-Specific Medical Report Generation for Complete Clinical Handoffs
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Solution Overview
Problem
Current clinical communication workflows lack sufficient completeness and clarity in medical reports, failing to provide relevant information tailored to the intended recipient.
Innovation Solution
A medical system that uses receiver-specific metadata and subject metadata to dynamically select questions from a database, compile sender text into an electronic medical report, and send it to the primary receiver, with features like response checking and large language models to ensure completeness and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a standard medical report template is used for all recipients, then the report generation process is simple and fast, but the report lacks personalization and relevance to the specific recipient's needs
Solution Approach 1:
The report generation system dynamically adapts to different recipients by selecting questions and organizing content based on recipient-specific metadata, transforming a static template system into a dynamic one that adjusts to individual needs
Solution Approach 2:
Different portions of the report are customized according to the specific recipient's requirements, with questions and content selected locally based on recipient role, preferences, and clinical context rather than applying uniform structure throughout
2Reliability
If comprehensive questions are asked to ensure complete information, then the report completeness improves, but the time required to complete the report increases
Solution Approach 1:
Recipient-specific metadata and question preferences are pre-configured in the database, allowing the system to quickly retrieve and present only the most relevant questions without requiring comprehensive input for every possible scenario
Solution Approach 2:
The system extracts and presents only the essential questions relevant to the specific recipient and clinical context, removing unnecessary or redundant questions that would increase completion time without adding value
3Loss of information
If the report includes all possible clinical information, then the information completeness is high, but the clarity and relevance to the specific recipient decreases
Solution Approach 1:
The system extracts and prioritizes only the most relevant information for the specific recipient based on their role, preferences, and clinical context, removing extraneous details that would clutter the report
Solution Approach 2:
The report structure and content are locally optimized for each recipient type, with information presented in formats and levels of detail appropriate to the specific recipient's needs and expertise
Data Source
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AI summary
Disclosed herein is a medical system (100, 600) comprising: a memory (110) storing machine executable instructions (120), receiver specific metadata (122, 122'), and database of questions (124). The receiver specific metadata comprises pointers to at least a portion of the database of questions. The medical system further comprises a computational system (104). Execution of the machine executable instructions causes the computational system to: receive (200) subject metadata (130) descriptive of a subject (618); receive (202) a selection (126) of a primary receiver; select (204) one or more questions (128) from the database of questions using the receiver specific metadata (122') of the primary receiver and the subject metadata; receive (206) sender text (132) in response to sequentially presenting the one or more questions using a sender user interface; compile (208) the sender text into an electronic medical report (134); and send (210) the electronic medical report to the primary receiver via a network connection.