Remote Medical Examination System with Automated Data Usability Filtering
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Solution Overview
Problem
Medical practitioners face challenges in efficiently navigating and diagnosing medical conditions using data collected by medical data acquisition devices, as the process is tedious and time-consuming, especially with limited reception hours and increasing patient demand.
Innovation Solution
A system and method that utilize a processor to obtain and analyze physiological data from sensors, providing diagnosis-enabling data to medical practitioners, including real-time feedback and quality scoring to improve data acquisition and reduce repetition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical practitioners manually navigate and analyze medical data acquired by data acquisition devices, then diagnosis accuracy can be maintained, but the process becomes tedious and time-consuming, reducing productivity
Solution Approach 1:
The patent introduces an automated data processing system that acts as an intermediary between the data acquisition device and the medical practitioner. This system automatically navigates through acquired medical data, identifies relevant diagnosis-enabling data, and presents it to the practitioner, thereby maintaining diagnosis accuracy while significantly improving examination efficiency
Solution Approach 2:
The system enables self-service by allowing the data processing and analysis to occur automatically without requiring manual intervention from the medical practitioner. The automated system independently processes raw medical data, filters out irrelevant information, and prepares diagnostic reports, freeing practitioners to focus on patient care while maintaining high diagnostic standards
2Productivity
If medical practitioners examine increasing numbers of patients during limited reception hours, then healthcare accessibility improves, but the time available for thorough data analysis decreases
Solution Approach 1:
The system performs preliminary actions by automatically processing and pre-analyzing medical data before it reaches the medical practitioner. The automated system prepares diagnosis-enabling data in advance, so when the practitioner receives the data, the most time-consuming navigation and filtering steps have already been completed, allowing for quicker patient examinations without sacrificing analysis quality
Solution Approach 2:
The patent replaces the mechanical process of manual data navigation with an automated computational system. Instead of practitioners manually searching through raw medical data, the system uses automated algorithms to process, filter, and organize data, dramatically reducing the time required for data analysis while increasing the number of patients that can be examined
3Loss of information
If all acquired physiological data is transmitted to medical practitioners, then complete diagnostic information is provided, but data volume increases and navigation becomes more complex
Solution Approach 1:
The system applies the extraction principle by automatically identifying and extracting only the relevant diagnosis-enabling data from the complete set of acquired physiological data. The automated system separates useful diagnostic information from irrelevant or redundant data, transmitting only the essential information to the practitioner. This maintains complete diagnostic information while significantly reducing data volume and navigation complexity
Data Source
AI summary
A medical data acquisition device comprising processing circuitry and one or more medical data acquisition sensors, the processing circuitry configured to: receive a plurality of continuous sections of physiological data acquired by at least one of the medical data acquisition sensors; analyze each received section of physiological data to determine a usability indicator indicating if the received section is usable for diagnosis of a medical condition of the patient or not; identify a subset of the continuous sections, wherein (a) the subset includes at least one of the sections associated with the respective usability indicator indicating that the received section is usable for diagnosis of the medical condition of the patient, (b) the subset does not include at least one of the sections associated with a respective usability indicator indicating that the received section is not usable for diagnosis; and send, to a remote medical practitioner workstation, the identified subset.