Automated Medical Test Recommendation System for Screening Accuracy
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Solution Overview
Problem
Physicians often fail to recognize and prescribe necessary medical screening tests for patients due to high workloads and may duplicate lab work, while existing patient data is not adequately utilized for subsequent tests.
Innovation Solution
An apparatus and method using an electronic processor to retrieve patient data, compare it with medical test guidelines, identify recommended tests, and output recommendations on a display device, maximizing the use of existing data and minimizing additional data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physicians manually review patient data and prescribe screening tests based on guidelines and experience, then medical expertise and clinical judgment are applied, but physicians fail to recognize and prescribe useful screening tests due to high case loads
Solution Approach 1:
An automated screening test recommendation system acts as an intermediary between patient data and physician decision-making. The system retrieves patient data from databases, compares it with screening test guidelines, and generates recommendations that assist physicians in prescribing appropriate tests without increasing their manual workload.
Solution Approach 2:
The system enables self-service by automatically retrieving patient data, comparing it against guidelines, and generating screening test recommendations without requiring physician intervention in the data analysis process. This allows the system to serve itself in identifying appropriate screenings while supporting physician decisions.
2Productivity
If physicians prescribe screening tests without comprehensive data review, then physician workload is reduced, but duplicative lab work is performed and existing patient data is not utilized
Solution Approach 1:
The system performs preliminary actions by automatically retrieving and analyzing patient data from databases before screening test prescription. It compares existing patient data with screening test guidelines to identify appropriate tests, ensuring that existing data is fully utilized before recommending new lab work.
Solution Approach 2:
The system implements feedback by continuously retrieving updated patient data from databases, comparing it with guidelines, and adjusting recommendations based on the comparison. This feedback loop ensures that existing patient data is properly considered and prevents duplicative lab work by identifying when sufficient data already exists.
3Reliability
If comprehensive patient data is collected for each screening test, then accurate test recommendations can be made, but additional data collection increases patient burden and resource usage
Solution Approach 1:
The system performs preliminary retrieval of patient data from databases before screening test recommendation. By proactively gathering and comparing existing patient data with guidelines, it identifies appropriate screenings without requiring additional data collection, thereby reducing patient burden and time requirements.
Data Source
AI summary
An apparatus (10) for recommending medical tests for a patient includes at least one electronic processor (20) programmed to retrieve patient data stored in a database (32); compare the patient data with guidelines (34) for a plurality of medical tests and identify at least one recommended medical test of the plurality of medical tests based on the comparison; and output, on at least one display device (24), a recommendation (40) for the patient to undergo the at least one recommended medical test.