Anatomy Mapper graphical interface for medical record generation
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Solution Overview
Problem
Current medical record systems face challenges in precision and accuracy due to lack of knowledge of correct terminology and understanding of anatomical locations, leading to errors in documentation and potential miscommunication during medical procedures.
Innovation Solution
The Anatomy Mapper system provides a graphical interface for medical professionals to select anatomical regions and procedures, using a knowledge base of templates to generate accurate and detailed records, incorporating photographs and multimedia items for enhanced documentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual documentation methods are used, then ease of operation is maintained, but precision and accuracy of anatomical labeling deteriorates
Solution Approach 1:
The system creates a graphical copy of the patient's anatomical structure and allows users to interact with this representation to select and label anatomical regions. This graphical copy serves as a template that guides accurate documentation without requiring the user to directly manipulate the complex anatomical data, thereby improving precision while maintaining ease of operation.
Solution Approach 2:
The graphical user interface acts as an intermediary between the user and the complex anatomical data. It provides a simplified interaction layer where users can select anatomical regions through intuitive graphical elements, and the system automatically translates these selections into precise anatomical labels and structured documentation, resolving the contradiction between ease of operation and labeling accuracy.
2Reliability
If comprehensive template knowledge base is implemented, then accuracy of medical records improves, but device complexity increases
Solution Approach 1:
The system segments the medical documentation task into discrete anatomical regions and procedure types, each with its own specialized templates. This segmentation allows the complex knowledge base to be organized into manageable modules that can be selected and applied independently, reducing the perceived complexity while maintaining comprehensive accuracy.
Solution Approach 2:
The template system is designed to be universal, where a single template framework can accommodate multiple anatomical regions and procedure types through configurable parameters. This multi-functionality reduces the need for separate complex systems for different documentation tasks, thereby reducing overall system complexity while maintaining high accuracy through the unified template approach.
3Loss of information
If detailed documentation with photographs is added, then completeness of medical records improves, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring templates with standard anatomical labels, procedure descriptions, and required documentation fields. This preliminary preparation eliminates the need for users to create documentation from scratch, reducing the time required to capture complete information while maintaining thoroughness through the pre-structured templates.
Solution Approach 2:
The system enables continuous documentation by allowing users to capture photographs and enter details in a seamless workflow where the graphical interface continuously updates and validates information. The template system automatically populates related fields and maintains context, eliminating interruptions and ensuring complete documentation is achieved efficiently without time loss.
Data Source
AI summary
Systems and method are provided for generating a record of a medical procedure. A system includes a processor and a non-transitory computer readable medium. The medium includes a graphical user interface configured to display a graphic representing an anatomical region of a patient and accept a gesture from a user comprising a selected procedure and, diagnosis when appropriate, and a location on the displayed anatomical region. A knowledge base stores a plurality of templates, each comprising a set of fields. A record generation engine selects an associated one of the plurality of templates according to each of the selected procedure and, diagnosis when appropriate, and the location on the displayed anatomical region and populates the set of fields associated with the selected template. A database interface formats the populated template into a database record suitable for an electronic health records database associated with the system.