{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T21:22:25Z","timestamp":1772659345900,"version":"3.50.1"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"National Institutes of Health National Center for Advancing Translational Sciences","award":["UL1TR002384"],"award-info":[{"award-number":["UL1TR002384"]}]},{"name":"Weill Cornell) as well as support from the Joint Clinical Trials Office of Weill Cornell Medicine and NewYork-Presbyterian"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Obtaining electronic patient data, especially from electronic health record (EHR) systems, for clinical and translational research is difficult. Multiple research informatics systems exist but navigating the numerous applications can be challenging for scientists. This article describes Architecture for Research Computing in Health (ARCH), our institution\u2019s approach for matching investigators with tools and services for obtaining electronic patient data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>Supporting the spectrum of studies from populations to individuals, ARCH delivers a breadth of scientific functions\u2014including but not limited to cohort discovery, electronic data capture, and multi-institutional data sharing\u2014that manifest in specific systems\u2014such as i2b2, REDCap, and PCORnet. Through a consultative process, ARCH staff align investigators with tools with respect to study design, data sources, and cost. Although most ARCH services are available free of charge, advanced engagements require fee for service.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Since 2016 at Weill Cornell Medicine, ARCH has supported over 1200 unique investigators through more than 4177 consultations. Notably, ARCH infrastructure enabled critical coronavirus disease 2019 response activities for research and patient care.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion<\/jats:title>\n                  <jats:p>ARCH has provided a technical, regulatory, financial, and educational framework to support the biomedical research enterprise with electronic patient data. Collaboration among informaticians, biostatisticians, and clinicians has been critical to rapid generation and analysis of EHR data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>A suite of tools and services, ARCH helps match investigators with informatics systems to reduce time to science. ARCH has facilitated research at Weill Cornell Medicine and may provide a model for informatics and research leaders to support scientists elsewhere.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocab266","type":"journal-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T20:15:07Z","timestamp":1637007307000},"page":"677-685","source":"Crossref","is-referenced-by-count":17,"title":["An architecture for research computing in health to support clinical and translational investigators with electronic patient data"],"prefix":"10.1093","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7624-769X","authenticated-orcid":false,"suffix":"Jr,","given":"Thomas R","family":"Campion","sequence":"first","affiliation":[{"name":"Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA"},{"name":"Department of Pediatrics, Weill Cornell Medicine, New York, New York, USA"},{"name":"Information Technologies & Services 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