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Evolving Research Data Sharing Networks to Clinical App Sharing Networks

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 wh...

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Detalles Bibliográficos
Autores principales: Wagholikar, Kavishwar B., Jain, Rahul, Oliveira, Eliel, Mandel, Joshua, Klann, Jeffery, Colas, Ricardo, Patil, Prasad, Yadav, Kuladip, Mandl, Kenneth D., Carton, Thomas, Murphy, Shawn N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543356/
https://www.ncbi.nlm.nih.gov/pubmed/28815145
Descripción
Sumario: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.