Browsing by Subject "FHIR"

Now showing 1 - 4 of 4
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    Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset
    (Springer Nature, 2018-02) Kohli, Marc; Morrison, James J.; Wawira, Judy; Morgan, Matthew B.; Hostetter, Jason; Genereaux, Brad; Hussain, Mohannad; Langer, Steve G.; Radiology and Imaging Sciences, School of Medicine
    In order to support innovation, the Society of Imaging Informatics in Medicine (SIIM) elected to create a collaborative computing experience called a "hackathon." The SIIM Hackathon has always consisted of two components, the event itself and the infrastructure and resources provided to the participants. In 2014, SIIM provided a collection of servers to participants during the annual meeting. After initial server setup, it was clear that clinical and imaging "test" data were also needed in order to create useful applications. We outline the goals, thought process, and execution behind the creation and maintenance of the clinical and imaging data used to create DICOM and FHIR Hackathon resources.
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    Development of a FHIR Based Application Programming Interface for Aggregate-Level Social Determinants of Health
    (AMIA Informatics summit 2019 Conference Proceedings, 2019-03-25) Kasthurirathne, Suranga N.; Cormer, Karen F.; Devadasan, Neil; Biondich, Paul G.
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    OpenMRS Analytics Engine: A FHIR Based Approach
    (IOS Press, 2022) Kimaina, Allan; Dick, Jonathan; Sadjad, Bashir; Medicine, School of Medicine
    As the Electronic Health Record (EHR) data keeps growing in volume at an unprecedented rate, there is an increasing need for a more collaborative and scalable approach for designing and engineering clinical data pipelines. To address these two critical needs, we present a scalable analytics pipeline architecture, designed from the bottom-up to harness the power of FHIR (Fast Healthcare Interoperability Resources) for improving collaborative efforts in health data analytics and indicator reporting.
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    Towards Standardized Patient Data Exchange: Integrating a FHIR Based API for the Open Medical Record System
    (IOS, 2015) Kasthurirathne, Suranga Nath; Mamlin, Burke; Grieve, Grahame; Biondich, Paul; Department of BioHealth Informatics, School of Informatics and Computing
    Interoperability is essential to address limitations caused by the ad hoc implementation of clinical information systems and the distributed nature of modern medical care. The HL7 V2 and V3 standards have played a significant role in ensuring interoperability for healthcare. FHIR is a next generation standard created to address fundamental limitations in HL7 V2 and V3. FHIR is particularly relevant to OpenMRS, an Open Source Medical Record System widely used across emerging economies. FHIR has the potential to allow OpenMRS to move away from a bespoke, application specific API to a standards based API. We describe efforts to design and implement a FHIR based API for the OpenMRS platform. Lessons learned from this effort were used to define long term plans to transition from the legacy OpenMRS API to a FHIR based API that greatly reduces the learning curve for developers and helps enhance adhernce to standards.