Camera-Based Medical Device Output Capture for EMR Integration
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Solution Overview
Problem
Many medical devices are unable to interface with electronic medical records, requiring labor-intensive methods such as scanning paper printouts, which is costly and inefficient for hospitals.
Innovation Solution
A system that uses a camera to capture images of medical device outputs, analyzes them, and stores the results in the electronic medical record, enabling seamless integration of data from incompatible devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If medical devices are replaced with interface-capable models, then integration with electronic medical records is improved, but hospital costs increase
Solution Approach 1:
The patent introduces an intermediary system consisting of a camera, image processing unit, and interface module that bridges the gap between legacy medical devices without interface capabilities and electronic medical record systems. This intermediary layer captures data from device outputs (such as printouts or displays), processes it into digital format, and transmits it to the EMR system, eliminating the need to replace existing devices while achieving full integration.
Solution Approach 2:
The system creates a digital copy of the output data from medical devices through camera capture and image processing. Instead of replacing the original device, the system copies the information displayed on the device (such as waveforms, graphs, or text outputs) and stores it in the electronic medical record, preserving the original device's functionality while enabling digital integration.
2Adaptability or versatility
If paper printouts are scanned into electronic medical records, then data integration is achieved, but labor and time requirements increase
Solution Approach 1:
The patent replaces the mechanical scanning process with an automated optical recognition system. Instead of manually scanning paper printouts and then manually transcribing the data, the system uses a camera to capture the output and an image processing unit with pattern recognition algorithms to automatically extract and transcribe the data directly into the electronic medical record, eliminating manual labor and significantly reducing time requirements.
Solution Approach 2:
The system enables self-service data extraction by automatically detecting, capturing, and processing data from medical device outputs without requiring human intervention. The image processing unit autonomously identifies the type of output (waveform, graph, text), extracts the relevant information, and formats it for EMR storage, freeing healthcare professionals from repetitive data entry tasks.
Data Source
AI summary
Methods, computer systems, and computer readable media for interfacing a medical device with an electronic medical record are provided. An image of an output of the medical device is received from a camera associated with the medical device. The image is analyzed to generate a result. The result is stored in the electronic medical record.


