A patient-centric distribution architecture for medical image sharing

Area of Science:

• Medical Imaging
• Health Informatics
• Digital Health

Background:

• Advancements in imaging technologies like PET-CT have increased data volume.
• Picture Archiving and Communication Systems (PACS) improve digital sharing but face interoperability challenges.
• Proprietary systems limit access for outpatients and referring physicians, restricting data interpretation.

Purpose of the Study:

• To present a novel distribution architecture for enhanced medical image display and accessibility.
• To develop the INVOLVE2 system for patient-centric access to medical imaging data.
• To overcome limitations of proprietary systems and improve data sharing interoperability.

Main Methods:

• Developed the INVOLVE2 system with three modules: a preprocessor, a PACS-compatible workflow, and mobile/web access.
• The preprocessor converts imaging studies into a compressed, distributable format.
• Designed a user-friendly interface for outpatients and referring physicians on cross-platform CDs, mobile, and web.

Main Results:

• The INVOLVE2 system facilitates improved compatibility and accessibility of medical data across devices.
• Enabled patient and physician access to imaging data beyond traditional still images.
• Pilot deployment in a hospital setting demonstrated system feasibility.

Conclusions:

• The INVOLVE2 system enhances patient-centric care by providing convenient and user-friendly access to medical imaging data.
• Addresses interoperability and deployment issues in medical image sharing.
• Promotes better communication and engagement with health data for all stakeholders.