Automated Report Generation Using Structured Lexicon and Active Lexemes
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Solution Overview
Problem
Generating professional reports, especially in fields like medicine, is labor-intensive and inefficient due to the need for repetitive tasks, incompatibility between elegant language and computer code, and the time-consuming process of hand-dictation, which results in reports that are not easily manipulable by computers.
Innovation Solution
A computer system using algorithms to offer users a menu of informational units (lexemes) from a large library, allowing selection and addition of text, which can be presented in various styles, including computer code for storage and analysis, with the ability to predict and organize report content based on context, predicants, coherence, and style.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a physician prepares reports by hand or uses dictation, then the report can be generated with detailed information, but the process is extremely time-consuming (5-10 minutes per patient) and the resulting report cannot be usefully examined or manipulated by computer
Solution Approach 1:
The system pre-structures reports with predetermined sections and pre-populates them with relevant patient data from the database before the physician sees the patient, so that only minimal additional information needs to be added during the encounter
Solution Approach 2:
The system creates a machine-readable digital copy of the medical record that mirrors the human-readable report, enabling automated processing, storage, and retrieval without requiring manual transcription or re-entry of data
2Productivity
If conventional word processors are used to insert boilerplate text, then simple transactions can be handled efficiently, but highly complex scenarios requiring millions of phrase variations cannot be accommodated
Solution Approach 1:
The system uses a single computer-based platform that can generate multiple output formats (narrative reports, structured data, coded information) from the same underlying data, replacing the need for separate tools for different report types
Solution Approach 2:
The system allows dynamic adjustment of report parameters such as level of detail, formatting style, and included sections based on the specific clinical scenario and billing requirements, enabling adaptation to complex variations without manual reconfiguration
3Ease of manufacture
If abstracting report information into computer code is done by hand, then billing and data analysis can be performed, but the process is error-prone and inefficient
Solution Approach 1:
The system automatically generates machine-readable code representations of medical records that directly mirror the structured data, eliminating manual transcription errors and ensuring data integrity across different uses (billing, analysis, storage)
Data Source
AI summary
A computer system and database adapted to help with the synthesis and assembly of informational units (lexemes) required for the preparation of professional reports. The system works iteratively, and uses certain characteristics of professional reports to predict which lexemes a user is likely to need at each iteration, allowing the user to select the most useful lexemes from a very large number of lexemes stored in a lexicon for this purpose. The characteristics of professional reports that enable the process of selection include context, predicance and coherence. The report, consisting of an assembly of lexemes, can be exported as text files having different linguistic styles, or as computer code permitting efficient retrieval and computerized analysis of the content of the report for billing, administration, or research.