There is public interest! David S. Mendelson, M.D. Professor of Radiology Senior Associate - Clinical Informatics The Mount Sinai Medical Center Co-chair.

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Presentation transcript:

There is public interest! David S. Mendelson, M.D. Professor of Radiology Senior Associate - Clinical Informatics The Mount Sinai Medical Center Co-chair IHE International Board

Image Sharing Use Cases  Enterprise to Enterprise (Radiology or EMR)  Radiology to Clinician  Radiology to Patient  Patient to Clinician  Patient to Enterprise  Radiologist to Radiologist  Clinician to Clinician/Radiologist  Image originated from a Radiology office  Image originated with Clinician  Legacy vs. Digital (DICOM)  Research/ Regulatory Presume Patient Consent, Report and/or Images

Standards  DICOM  HL7  Direct  IHE XD* family  XDS  XDS-I  XDR  XDM XDS-I XDS

NHIN Direct-applicable IHE Profiles  SOAP-based Web Services and detailed metadata  XDR -Cross-Enterprise Document Reliable Interchange  - direct push model from sender to receiver using Web Services transport  Document sharing in the absence of a registry and repository  XDM - Cross-enterprise Document Media Interchange  direct push model of packaged content  Option – transport via SMTP

NIBIB/RSNA Image Sharing Project  Consumer controls the flow of information –Patient Engagement  Simplifies Consent  Diminishes the need for BAAs between enterprises  Imaging Site to Clearinghouse  Clearinghouse to PHR  Bootstrap an IHE based network  IHE generally has not focused on consumer driven solutions but rather on institutional and enterprise workflow  Primary emphasis is Consumer Control through PHRs  Can be extended to other forms of sharing  HIE  Security and Confidentiality are drivers  Replacement / Alternative to CD  5 Academic Institutions  Develop a solution for all Radiology Sites  Establish a clearinghouse  Engage PHRs- Image Enable  Potential for untethered full longitudinal record A Standards Based Solution

Image Sharing/Elements of Solution  Edge Server  Register a patient  Listens to a Radiology Information System (RIS)- looking for a complete exam  Retrieves Image set from PACS and Report from RIS  Send both to clearinghouse  PHI hidden; an RSNA ID and 2 nd factor security token are used to identify the patient  Clearinghouse (XDS-I) – functions as a secure router  Transiently hold encrypted patient data  PHR  Consumer controls upload and future access  Must have RSNA ID available and know answer to 2 nd factor question  Develop web based viewers  Download full DICOM data set  Misc Consumers

Advantages of Approach  Push model  No Query of PACS from outside the firewall  Full DICOM data set is available  Web viewers  Download and Import to PACS  Report is available  Historical exams can be sent simultaneously  Consumer controls flow of information  Affords the patient the ability to select what information to share  Is this good?

RSNA Image Share- Initial Patient experience  Patients enrolled (4 sites) in production environment  20 months  June 16, 2013  Includes some test data  Approximately 1/3 have closed the loop and used the PHR  3 Community sites live as of May 2013

Patient Responses  Love it!  Its about time  This is great  My doctor was really pleased to have access to my images  Problems  Couldn’t access my images  Got my images- but difficult  My doctor couldn’t see my images

RSNA Image Share Development  Version 3.0  Vendor implementation  Incorporates Clinical trials  RSNA CTP  Version 3.1  address as logon ID as an alternative to 8 digit code  Password- minimum 8 characters; no other limitations  Flexible send time  In testing  Expected Release – late summer  Future  Refine user interface  Dose  Quality Metrics

Next steps - New NIBIB (NIH) contract  Expansion of Network  Vendor Adoption of Edge Server (Open Source)  Vendor migration to XDS for all services  Connect 2+ independent networks  Alabama-CAHIE consortium to RSNA  EMR integration  DICOM evolution  Restful services  Separation of Metadata from pixel data  Enables discovery  Viewer  Convergence of  Patient Engagement model-PHR  HIE  Provider to Provider  NHIN Direct  XDR  XDM

Resources  