Barcode Decoding for Clinical Image Metadata Association
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Solution Overview
Problem
Current electronic medical record systems face challenges in efficiently associating clinical documentation with patient images and integrating image capturing protocols, leading to misidentification and mishandling of images within vast medical information systems.
Innovation Solution
A method that decodes barcodes associated with patients to populate metadata fields, communicates protocols to image capturing devices for structured documentation, and stores images with metadata in electronic medical records, enabling efficient association and indexing of images within the medical information system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional digital cameras are used to capture patient images, then images can be captured and stored, but the images cannot be associated with clinical documentation or patient records
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between conventional digital cameras and electronic medical records. This intermediary captures metadata from the camera (such as patient identifiers, timestamps, and clinical context) and automatically associates it with the corresponding patient record, enabling reliable image-documentation linkage without modifying the camera itself.
Solution Approach 2:
The system enables conventional digital cameras to serve multiple functions: not only capturing images but also collecting and transmitting associated clinical documentation and patient identification data. This multi-functionality allows the camera to integrate seamlessly into the electronic medical record system without requiring specialized medical imaging equipment.
2Productivity
If images are captured without integrated protocols, then imaging is simple and quick, but clinician orders and workflow instructions cannot be communicated to the image capturing device
Solution Approach 1:
The system performs preliminary actions by pre-configuring the image capturing device with clinician orders and workflow instructions before image capture begins. Protocols are loaded in advance, ensuring that all necessary documentation and imaging parameters are ready, which maintains capture efficiency while enabling full protocol compliance.
Solution Approach 2:
The image capturing device is equipped with self-service capabilities to automatically receive, interpret, and execute clinician orders and workflow protocols without requiring manual intervention. The device autonomously manages documentation collection, patient identification, and image association, simplifying operation while maintaining productivity.
3Productivity
If electronic image files are used instead of hard-copy images, then storage and retrieval are improved, but misidentification and mishandling still occur within vast medical information systems
Solution Approach 1:
The system implements feedback mechanisms that continuously verify image identification and association accuracy. Metadata such as patient identifiers, timestamps, and clinical context are automatically cross-checked against the electronic medical record system, providing real-time feedback to correct any misidentification or mishandling of image files.
Solution Approach 2:
The system creates and uses multiple copies of critical identification data (such as patient identifiers and image metadata) across different system components. This redundancy ensures that even if one copy is lost or corrupted, accurate identification information remains available, preventing misidentification and mishandling of images within the vast medical information system.
Data Source
AI summary
Systems, methods, and computer-readable media having computer-executable instructions embodied thereon for protocol driven image acquisition are provided. In embodiments, a protocol is received by an image capturing device. The protocol comprises orders from a clinician, a workflow for capturing at least one image, or a combination thereof. At least one field for receiving metadata to be associated with the at least one image allows structured documentation to begin on the image capturing device. The at least one image and associated metadata are communicated to a medical information system. A patient is identified by the metadata or an existing patient to device association and the at least one image is associated with an electronic medical record for the patient.