Mobile Medical Imaging Capture with QR Authentication
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Solution Overview
Problem
There is a need for an efficient and secure system and methods to capture medical imaging data using mobile devices, associate it with patient data, and store it on vendor neutral archives (VNAs), picture archiving communication systems (PACS), and other healthcare systems, especially outside traditional radiology or cardiology environments.
Innovation Solution
A mobile image-capturing device system that allows users to access patient identifying information via a machine-readable optical label, authenticate, capture medical images, and wirelessly transmit them along with associated patient data to a storage location, using applications like the mobile scan application to integrate with electronic health record systems and store data using DICOM, HL7, and XDS protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile devices are used to capture medical imaging data outside traditional radiology environments, then accessibility and versatility are improved, but data security and integration complexity worsen
Solution Approach 1:
The patent introduces a dedicated mobile application as an intermediary between the mobile device camera and the healthcare information system. This application serves as a secure bridge that captures images, validates patient information, and transmits data to the PACS system, thereby maintaining security while enabling mobile accessibility.
Solution Approach 2:
The mobile application is designed to perform multiple functions including patient identification, image capture, image processing, and data transmission within a single integrated system. This multi-functional approach consolidates security measures while providing versatile capabilities for various medical imaging scenarios.
2Device complexity
If manual patient identification processes are used, then system complexity is reduced, but time consumption and error rates worsen
Solution Approach 1:
The patent replaces manual patient identification processes with an automated optical recognition system using QR codes. The mobile device camera captures the QR code, and the application automatically extracts patient information, eliminating manual data entry and reducing time consumption while maintaining system simplicity.
Solution Approach 2:
Patient identification information is encoded in advance in the form of QR codes on patient identifiers. This preliminary preparation allows for rapid automated retrieval of patient information during the imaging process, significantly reducing identification time without adding complexity to the imaging system.
3Ease of operation
If captured images are stored locally on mobile devices, then immediate accessibility is improved, but data integration with healthcare systems worsens
Solution Approach 1:
The mobile application maintains continuous connectivity with the healthcare system through persistent network connections. Images are captured locally for immediate viewing but are continuously synchronized with the PACS system, ensuring both immediate accessibility and seamless integration without requiring the user to choose between the two.
Solution Approach 2:
The system architecture nests the mobile application within the broader healthcare information ecosystem. The mobile device serves as an outer layer for accessibility, while the PACS system provides the core storage and integration capabilities, creating a nested structure where local access is enabled without compromising system-wide integration.
4Measurement precision
If patient information is manually entered into the system, then data accuracy can be controlled, but time consumption and labor requirements worsen
Solution Approach 1:
The system performs self-service by automatically extracting patient information from QR codes and validating it against the healthcare database. This automated process eliminates manual data entry while maintaining high accuracy through system validation, significantly reducing time consumption and labor requirements.
Solution Approach 2:
The mobile application incorporates feedback mechanisms that automatically validate captured patient information against the healthcare system database. This feedback loop ensures data accuracy by detecting and correcting errors, while the automated nature of the process eliminates manual entry time consumption.
Data Source
AI summary
Methods for capturing medical images associated with a patient using a mobile image-capturing device are disclosed. One example method includes accessing patient identifying information. A user may launch a scan application installed in the mobile image-capturing device by visually scanning a machine-readable optical label, which may also authenticate the user. Upon accessing the scan application, the scan application may be provided with the patient identifying information scanned from the machine-readable optical label, and one or more details of the patient based on the patient identifying information scanned from the machine-readable optical label may be displayed at an interface of the scan application. The scan application may capture medical images using an imaging equipment of the mobile image-capturing device, associate the captured images with the patient identifying information, and transmit the captured images with the patient identifying information to a storage location.