Anesthesiology Instructions via Remote Physiological Data
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Solution Overview
Problem
Current assessments for procedures involving anesthesiology are limited by the need for subjects to physically visit a healthcare location, which restricts the amount and diversity of data considered during the assessment.
Innovation Solution
A medical system comprising a local computational system and a control module that generates anesthesiology instructions based on subject physiological sensor data and metadata received via a network connection, allowing for remote assessment and data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If subjects physically visit a healthcare location for assessment, then the assessment can be performed with direct interaction, but the amount and diversity of data collected is limited
Solution Approach 1:
The system enables subjects to self-monitor and collect physiological data at home using wearable sensors and mobile devices, eliminating the need for physical visits to healthcare locations. Subjects automatically capture diverse data including heart rate, activity levels, sleep patterns, and environmental factors in their natural settings, significantly increasing both the amount and diversity of collected information without requiring clinical presence
Solution Approach 2:
A computational system acts as an intermediary between subjects and healthcare providers, receiving physiological sensor data from various sources (wearable devices, mobile apps, home monitors), processing and analyzing the information, and generating comprehensive assessment reports. This intermediary enables remote data collection and analysis, allowing diverse physiological data to be gathered without requiring subjects to physically visit healthcare facilities
2Loss of information
If remote data collection is implemented, then the amount and diversity of physiological data increases, but the system complexity increases
Solution Approach 1:
The computational system is designed as a multi-functional platform that can collect data from multiple sources (wearable sensors, mobile devices, home monitors), process various types of physiological information, generate assessment reports, and communicate with different healthcare systems. This universal architecture consolidates multiple functions into a single system, managing complexity while enabling comprehensive remote data collection
Solution Approach 2:
The system creates standardized digital representations (copies) of physiological data from various physical sensors and sources, converting diverse input formats into a unified data structure. This copying approach simplifies processing by standardizing data representation while maintaining the completeness and diversity of the original physiological information
Data Source
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AI summary
Disclosed herein is a medical system (100, 300, 500) comprising a local memory (114) storing local machine executable instructions (116) and a control module (118). The control module is configured to generate anesthesiology instructions (124) in response to receiving subject physiological sensor data (120) and subject metadata (122) as input. The medical system further comprises a local computational system (108). Execution of the local machine executable instructions causes the computational system to: receive (202) the subject physiological sensor data via a network connection (110); receive (204) the subject metadata; receive (206) the anesthesiology instructions in response to inputting the subject physiological sensor data and the subject metadata into the control module; and provide (208) the anesthesiology instructions.