Clinical Collaboration Platform Overview ST Electronics (Training & Simulation Systems) 8 September 2009 Research Enablers  Consulting  Open Standards for Healthcare  Connectivity & Conformance Testing

Co-confidential Outline  Introduction to iMedical  Healthcare Research – current scenario  Clinical Collaboration Platform

Co-confidential Introduction to iMedical Background Traditional Military simulation (air, land, sea) Recent Animation, interactive learning New Entertainment, healthcare

Proprietary information About iMedical Our mission To enhance Healthcare IT knowledge in the region To engage in standards implementation and adoption and provide targeted solutions To provide consulting in Healthcare IT implementations A few things about us We are vendor neutral We use multiple technologies We believe our strength is in building strong “core” domain expertise

Proprietary information About the iMedical Lab  Developing healthcare M&S solutions that fit into existing infrastructures and conform to industry standards  Staging, simulating and demonstrating common industry problems in medical imaging informatics  Investigating solutions, and providing targeted consultancy and hands-on training  Interest areas for implementation  Research and collaboration platform  IHE Integration Profiles, DICOM conformance evaluation and testing  Radiology workflows, extending to endoscopy, pathology We have set up a research laboratory to simulate, emulate and investigate connectivity, data flow and system compatibility issues which commonly affect access to data for research, collaboration and other purposes

Proprietary information Healthcare research – current scenario  Health care is inherently fractal. The more closely you look, the more complexity you find  Most researchers are looking for specific data in the format that serves their purpose  Scarce time is invested in searching for the right dataset – some systems process thousands of messages per day  Assistance from Hospital IT isn’t sustainable – besides they might not understand the domain or interoperability details  Last but not the least - Issues of patient data confidentiality

Proprietary information Healthcare Provider Facilities Research Facilities CCP Seamless integration between healthcare IT & research systems Clinical Collaboration Platform

Proprietary information Data Flow Overview Repository AdaptorData Source Data is received in proprietary formats (e.g. HL7, DICOM) and filtered Anonymization according to security policies Forwarded to repository Relevant dataset is extracted (images, demographic data) Data is transformed into required format Delivery securely to research facility Data available on demand and in user- required format Ability to cross check results

Proprietary information CCP – intended features  Mine data from within operational healthcare IT infrastructure, requiring little or no intervention  Access, absorb, organize and store healthcare data from formats including DICOM, HL7, XML and raw formats  Anonymize the data according to configurable privacy policies  Implement IHE Teaching File and Clinical Trial Export Profile  Make data available for use by intelligently streaming it to where it is needed

Proprietary information Thank You

Proprietary information Proposed Adaptors High-Level Schematic DICOM HL7 XML PDF … … …. CCP Functions CCP Database Data Harmonization Validation Data Summarization Terminology standardization CCP Database Data Harmonization Validation Data Summarization Terminology standardization Meta-Information Data Organization Linking with code tables Terminology Meta-Information Data Organization Linking with code tables Terminology Code Tables User Functions Search Engines Reports Patient Timelines Clinical Data Demographic Data Search Engines Reports Patient Timelines Clinical Data Demographic Data Simulation Applications Data Modeling Research On demand data availability Information access across HIT systems Research On demand data availability Information access across HIT systems