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. 2017 Jul 26:2017:302-307.
eCollection 2017.

Evolving Research Data Sharing Networks to Clinical App Sharing Networks

Affiliations

Evolving Research Data Sharing Networks to Clinical App Sharing Networks

Kavishwar B Wagholikar et al. AMIA Jt Summits Transl Sci Proc. .

Abstract

Research networks for data sharing are growing into a large platform for pragmatic clinical trials to generate quality evidence for shared medical decision-making. Institutions partnering in the networks have made large investments in developing the infrastructure for sharing data. We investigate whether institutions partnering on Patient-Centered Outcomes Research Institute's (PCORI) network can share clinical apps. At two different sites, we imported patient data in PCORI's clinical data model (CDM) format into i2b2 repositories, and adapted the SMART-on-FHIR cell to perform CDM-to-FHIR translation, serving demographics, laboratory results and diagnoses. We performed manual validations and tested the platform using four apps from the SMART app gallery. Our study demonstrates an approach to extend the research infrastructure to allow the partnering institutions to run shared clinical apps, and highlights the involved challenges. Our results, tooling and publically accessible data service can potentially transform research networks into clinical app sharing networks and pave the way towards a learning health system.

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Figures

Figure 1.
Figure 1.
Institutions participating in PCORI’s research network have different EHR systems, but follow a common data model (CDM) for storing and exchanging research data. This model forms the basis for running a platform to host interoperable SMART-on- FHIR apps.
Figure 2.
Figure 2.
Our proposed approach facilitates the use of high quality research data to drive innovative applications to directly support clinical operations
Figure 3.
Figure 3.
Pipeline for installing and evaluating the SMART on FHIR i2b2 cell (SOFI).

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