Haptic Input Text Generation for Clinical Palpation
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Solution Overview
Problem
The documentation of physical examination findings, particularly palpation, is time-consuming and prone to errors due to reliance on clinician memory, leading to potential misrepresentation and adverse impacts on patient care.
Innovation Solution
A haptic technology-enabled system using sensor-embedded gloves to gather tactile data, which is processed by a neural network model to generate accurate text descriptions of palpation findings for real-time documentation in electronic health records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual documentation of physical examination findings is used, then the clinician can document findings, but the process is time-consuming and error-prone due to reliance on memory
Solution Approach 1:
The patent replaces the mechanical process of manual documentation with an automated system that uses sensor devices to detect physical examination findings and a processing system to generate text descriptions. The sensor-based detection system substitutes for the clinician's manual observation and memory-based documentation, eliminating the need for recollection and reducing errors while saving time.
Solution Approach 2:
The system enables self-service documentation where the sensor devices automatically detect physical findings and the processing system autonomously generates the documentation text. This eliminates the need for the clinician to manually transcribe findings after the examination, allowing the system to serve itself in the documentation process.
2Productivity
If reliance on clinician memory is used for documentation, then documentation can be completed, but the risk of misrepresentation increases
Solution Approach 1:
The patent replaces the human memory-based system with an automated sensor-based system that objectively captures physical examination findings. The sensor devices detect tactile, visual, and other physical characteristics during the examination and transmit this data to the processing system, eliminating the unreliable human memory component and ensuring accurate representation of findings.
Solution Approach 2:
The patent introduces sensor devices and a processing system as intermediaries between the physical examination and the documentation process. These intermediaries objectively capture and transmit the findings, serving as a reliable bridge that eliminates the need to rely on the clinician's memory and reduces the risk of misrepresentation.
3Ease of operation
If manual documentation is used, then the clinician can record findings, but cognitive load increases during the examination
Solution Approach 1:
The patent replaces the cognitive process of manual documentation with an automated sensor-based system. The sensor devices automatically detect and transmit physical examination findings, and the processing system generates the documentation text, eliminating the need for the clinician to cognitively process and transcribe findings manually.
Solution Approach 2:
The system performs self-service by automatically detecting, processing, and documenting physical examination findings without requiring active cognitive participation from the clinician during the documentation phase. The sensor devices and processing system handle the entire documentation task autonomously.
Data Source
AI summary
Methods and systems for generating text from a haptic-based input. The system may include an interface for receiving a haptic-based input and a processor executing instructions stored on a memory and providing a model. The model is configured to at least receive the haptic-based input and supply a text describing the haptic-based input using the interface.