1 / 5

Mobile Patient Discovery

Mobile Patient Discovery. ITI Proposal Brief. The Problem. Data Repositories. MPI. Data Repository. Data Repository. Integration Service. Integration Service. Integration Service. B. A. C. eCharts. eRx. myPHR. MyPHR. MHD. XD* / Other Infrastructure.

alan-acosta
Télécharger la présentation

Mobile Patient Discovery

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Mobile Patient Discovery ITI Proposal Brief

  2. The Problem Data Repositories MPI Data Repository Data Repository Integration Service Integration Service Integration Service B A C eCharts eRx myPHR MyPHR

  3. MHD XD* / Other Infrastructure • Designed for sharing of documents • JSON representation of XD* meta-data • RESTful access to XD* infrastructure • Patient identity not scoped but guidance exists • Can be performed by the recipient/responder • Bracelet number = enterprise identity • Difficult to get demographics information Doc Recipient / Responder MHD MHD Consumer Source

  4. PIX / PDQ • Established patient identity X-Ref and Demographics query • Not suited for mobile • PIX/PDQ (HL7v2) • Inconsistent support for socket programming on mobile • Lightweight browser apps (JavaScript) = nearly impossible without gateway • PIX/PDQ (HL7v3) • Inconsistent support for SOAP + WS* on mobile • Same issue for lightweight browser apps

  5. Mobile Patient Discovery • Seeks to profile mechanisms for mobile / lightweight clients to: • Resolve patient identities from a known identifier (similar to PIX) • Retrieve demographics information from structured query (similar to PDQ) • Leveraging existing projects in mHealth community • Complementary to MHD • Similar: PIX/PDQ complements XDS • Similar: XCPD complements XCA

More Related