clinical collaboration platform overview st electronics (training & simulation systems) 8...
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Clinical Collaboration Platform OverviewST 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 iMedicalBackground
Traditional Military simulation (air, land, sea)
RecentAnimation, 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
Adaptor Data 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 AdaptorsProposed Adaptors
High-Level Schematic
DICOMDICOM
HL7HL7
XMLXML
PDFPDF
….….
CCP FunctionsCCP 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
TerminologyTerminology
Code TablesCode Tables
User FunctionsUser Functions
Search Engines•Reports•Patient Timelines•Clinical Data •Demographic Data
Search Engines•Reports•Patient Timelines•Clinical Data •Demographic Data
Simulation ApplicationsSimulation
Applications
Data ModelingData Modeling
Research•On demand data availability•Information access across HIT systems
Research•On demand data availability•Information access across HIT systems