Publications

2014

Mandl K, Kohane I, McFadden D, Weber G, Natter M, Mandel J, et al. Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture.. J Am Med Inform Assoc. 2014;21(4):615-20.
We describe the architecture of the Patient Centered Outcomes Research Institute (PCORI) funded Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS, http://www.SCILHS.org) clinical data research network, which leverages the $48 billion dollar federal investment in health information technology (IT) to enable a queryable semantic data model across 10 health systems covering more than 8 million patients, plugging universally into the point of care, generating evidence and discovery, and thereby enabling clinician and patient participation in research during the patient encounter. Central to the success of SCILHS is development of innovative 'apps' to improve PCOR research methods and capacitate point of care functions such as consent, enrollment, randomization, and outreach for patient-reported outcomes. SCILHS adapts and extends an existing national research network formed on an advanced IT infrastructure built with open source, free, modular components.

2013

Lionetti G, Kimura Y, Schanberg L, Beukelman T, Wallace C, Ilowite N, et al. Using registries to identify adverse events in rheumatic diseases.. Pediatrics. 2013;132(5):e1384-94.
The proven effectiveness of biologics and other immunomodulatory products in inflammatory rheumatic diseases has resulted in their widespread use as well as reports of potential short- and long-term complications such as infection and malignancy. These complications are especially worrisome in children who often have serial exposures to multiple immunomodulatory products. Post-marketing surveillance of immunomodulatory products in juvenile idiopathic arthritis (JIA) and pediatric systemic lupus erythematosus is currently based on product-specific registries and passive surveillance, which may not accurately reflect the safety risks for children owing to low numbers, poor long-term retention, and inadequate comparators. In collaboration with the US Food and Drug Administration (FDA), patient and family advocacy groups, biopharmaceutical industry representatives and other stakeholders, the Childhood Arthritis and Rheumatology Research Alliance (CARRA) and the Duke Clinical Research Institute (DCRI) have developed a novel pharmacosurveillance model (CARRA Consolidated Safety Registry [CoRe]) based on a multicenter longitudinal pediatric rheumatic diseases registry with over 8000 participants. The existing CARRA infrastructure provides access to much larger numbers of subjects than is feasible in single-product registries. Enrollment regardless of medication exposure allows more accurate detection and evaluation of safety signals. Flexibility built into the model allows the addition of specific data elements and safety outcomes, and designation of appropriate disease comparator groups relevant to each product, fulfilling post-marketing requirements and commitments. The proposed model can be applied to other pediatric and adult diseases, potentially transforming the paradigm of pharmacosurveillance in response to the growing public mandate for rigorous post-marketing safety monitoring.
Natter M, Quan J, Ortiz D, Bousvaros A, Ilowite N, Inman C, et al. An i2b2-based, generalizable, open source, self-scaling chronic disease registry.. J Am Med Inform Assoc. 2013;20(1):172-9.
OBJECTIVE: Registries are a well-established mechanism for obtaining high quality, disease-specific data, but are often highly project-specific in their design, implementation, and policies for data use. In contrast to the conventional model of centralized data contribution, warehousing, and control, we design a self-scaling registry technology for collaborative data sharing, based upon the widely adopted Integrating Biology & the Bedside (i2b2) data warehousing framework and the Shared Health Research Information Network (SHRINE) peer-to-peer networking software. MATERIALS AND METHODS: Focusing our design around creation of a scalable solution for collaboration within multi-site disease registries, we leverage the i2b2 and SHRINE open source software to create a modular, ontology-based, federated infrastructure that provides research investigators full ownership and access to their contributed data while supporting permissioned yet robust data sharing. We accomplish these objectives via web services supporting peer-group overlays, group-aware data aggregation, and administrative functions. RESULTS: The 56-site Childhood Arthritis & Rheumatology Research Alliance (CARRA) Registry and 3-site Harvard Inflammatory Bowel Diseases Longitudinal Data Repository now utilize i2b2 self-scaling registry technology (i2b2-SSR). This platform, extensible to federation of multiple projects within and between research networks, encompasses >6000 subjects at sites throughout the USA. DISCUSSION: We utilize the i2b2-SSR platform to minimize technical barriers to collaboration while enabling fine-grained control over data sharing. CONCLUSIONS: The implementation of i2b2-SSR for the multi-site, multi-stakeholder CARRA Registry has established a digital infrastructure for community-driven research data sharing in pediatric rheumatology in the USA. We envision i2b2-SSR as a scalable, reusable solution facilitating interdisciplinary research across diseases.
Mandl K, Edge S, Malone C, Marsolo K, Natter M. Next-generation registries: fusion of data for care, and research.. AMIA Jt Summits Transl Sci Proc. 2013;2013:164-7.
Disease-based registries are a critical tool for electronic data capture of high-quality, gold standard data for clinical research as well as for population management in clinical care. Yet, a legacy of significant operational costs, resource requirements, and poor data liquidity have limited their use. Research registries have engendered more than $3 Billion in HHS investment over the past 17 years. Health delivery systems and Accountable Care Organizations are investing heavily in registries to track care quality and follow-up of patient panels. Despite the investment, regulatory and financial models have often enforced a "single purpose" limitation on each registry, restricting the use of data to a pre-defined set of protocols. The need for cost effective, multi-sourced, and widely shareable registry data sets has never been greater, and requires next-generation platforms to robustly support multi-center studies, comparative effectiveness research, post-marketing surveillance and disease management. This panel explores diverse registry efforts, both academic and commercial, that have been implemented in leading-edge clinical, research, and hybrid use cases. Panelists present their experience in these areas as well as lessons learned, challenges addressed, and near innovations and advances.