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References

ENACT References

Below are the following references that have used ENACT and ACT in publications. If you used ENACT and your work is not listed, please email (EMAIL) and we'll update it as soon as possible.

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Known ENACT References and Citations listed in Alphabetical Order

  1. Anzalone AJ, Horswell R, Hendricks BM, et al. Higher hospitalization and mortality rates among SARS-CoV-2-infected persons in rural America. J Rural Health. 2023;39(1):39-54. doi:10.1111/jrh.12689 

  1. Azhir A, Hügel J, Tian J, et al. Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19. Med. 2025;6(3):100532. doi:10.1016/j.medj.2024.10.009 

  1. Bailey KL, Sayles H, Campbell J, et al. COVID-19 patients with documented alcohol use disorder or alcohol-related complications are more likely to be hospitalized and have higher all-cause mortality. Alcohol Clin Exp Res. 2022;46(6):1023-1035. doi:10.1111/acer.14838 

  1. Bayless NL, Bluestone JA, Bucktrout S, et al. Development of preclinical and clinical models for immune-related adverse events following checkpoint immunotherapy: a perspective from SITC and AACR. J Immunother Cancer. 2021;9(9):e002627. doi:10.1136/jitc-2021-002627 

  1. Becich MJ. Clinical trial strategies fueled by informatics innovation catalyze translational research. JAMA Netw Open. 2023;6(8):e2329591. doi:10.1001/jamanetworkopen.2023.29591 

  1. Bernstam EV, Shireman PK, Meric-Bernstam F, et al. Artificial intelligence in clinical and translational science: successes, challenges and opportunities. Clin Transl Sci. 2022;15(2):309-321. doi:10.1111/cts.13175 

  1. Bookman RJ, Cimino JJ, Harle CA, et al. Research informatics and the COVID-19 pandemic: challenges, innovations, lessons learned, and recommendations. J Clin Transl Sci. 2021;5(1):e110. doi:10.1017/cts.2021.26 

  1. Campion TR Jr, Craven CK, Dorr DA, Knosp BM. Understanding enterprise data warehouses to support clinical and translational research. J Am Med Inform Assoc. 2020;27(9):1352-1358. doi:10.1093/jamia/ocaa089 

  1. Campion TR Jr, Sholle ET, Pathak J, et al. An architecture for research computing in health to support clinical and translational investigators with electronic patient data. J Am Med Inform Assoc. 2022;29(4):677-685. doi:10.1093/jamia/ocab271 

  1. Craven CK, Jackson B, Solomonides T. Introduction to the JSCDM Special Issue on Clinical Data Sharing. Journal of the Society for Clinical Data Management. 2023;3(4):5. doi:10.47912/jscdm.315 

  1. Dobbins NJ, Morris M, Sadhu E, et al. Towards cross-application model-agnostic federated cohort discovery. J Am Med Inform Assoc. 2024;31(10):2202-2209. doi:10.1093/jamia/ocae211 

  1. Dong X, Randolph DA. Toward a more accurate accrual to clinical trials: joint cohort discovery using Bloom filters and homomorphic encryption. AMIA Jt Summits Transl Sci Proc. 2020;2020:162-171. 

  1. Fu S, Kwak MJ, Ahn J, et al. Advancing delirium detection through the Open Health Natural Language Processing Consortium and ENACT Network. J Gerontol A Biol Sci Med Sci. 2025;80(12):glaf207. doi:10.1093/gerona/glaf207 

  1. Fu S, Wang L, He H, et al. A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J Am Med Inform Assoc. 2024;31(7):1493-1502. doi:10.1093/jamia/ocae101 

  1. Goodman JE, Rhomberg LR, Cohen SM, et al. Challenges in defining thresholds for health effects: some considerations for asbestos and silica. Front Epidemiol. 2025;5:1557023. doi:10.3389/fepid.2025.1557023 

  1. Haendel MA, Chute CG, Bennett TD, et al. The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment. J Am Med Inform Assoc. 2021;28(3):427-443. doi:10.1093/jamia/ocaa196 

  1. Hall ES, Melton GB, Payne PRO, Dorr DA, Vawdrey DK. How are leading research institutions engaging with data sharing tools and programs? AMIA Annu Symp Proc. 2024;2023:397-406. 

  1. Harris DR, Fu S, Wen A, et al. The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit. J Clin Transl Sci. 2024;8(1):e98. doi:10.1017/cts.2024.543 

  1. Jefferson E, Cole C, Mumtaz S, et al. A hybrid architecture (CO-CONNECT) to facilitate rapid discovery and access to data across the United Kingdom in response to the COVID-19 pandemic: development study. J Med Internet Res. 2022;24(12):e40035. doi:10.2196/40035 

  1. Kennedy N, Nelson S, Jerome RN, et al. Recruitment and retention for chronic pain clinical trials: a narrative review. Pain Rep. 2022;7(4):e1007. doi:10.1097/PR9.0000000000001007 

  1. Klann JG, Henderson DW, Morris M, et al. A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. J Am Med Inform Assoc. 2023;30(12):1985-1993. doi:10.1093/jamia/ocad166 

  1. Klann JG, Joss MAH, Embree K, Murphy SN. Data model harmonization for the All of Us Research Program: transforming i2b2 data into the OMOP common data model. PLoS One. 2019;14(2):e0212463. doi:10.1371/journal.pone.0212463 

  1. Knosp BM, Dorr DA, Campion TR Jr. Maturity in enterprise data warehouses for research operations: analysis of a pilot study. J Clin Transl Sci. 2023;7(1):e70. doi:10.1017/cts.2023.23 

  1. Lenert LA, Ilatovskiy AV, Agnew J, et al. Automated production of research data marts from a canonical Fast Healthcare Interoperability Resource data repository: applications to COVID-19 research. J Am Med Inform Assoc. 2021;28(8):1605-1611. doi:10.1093/jamia/ocab108 

  1. Lenert LA, Zhu V, Jennings L, et al. Enhancing research data infrastructure to address the opioid epidemic: the Opioid Overdose Network (O2-Net). JAMIA Open. 2022;5(2):ooac055. doi:10.1093/jamiaopen/ooac055 

  1. Lennox LA, Schuster A, Morrato EH. National dissemination of the accrual to clinical trials (ACT) network across the Clinical and Translational Science Award (CTSA) Consortium: leveraging big data to enable cohort discovery in multi-site trials. Poster presented at: AcademyHealth 11th Annual Conference on the Science of Dissemination and Implementation in Health; December 3-5, 2018; Washington, DC. 

  1. Li Q, He Z, Guo Y, et al. Assessing the validity of a a priori patient-trial generalizability score using real-world data from a large clinical data research network: a colorectal cancer clinical trial case study. AMIA Annu Symp Proc. 2020;2019:1101-1110. 

  1. Liu H, Fu S, Lu Q, et al. MedError: a machine-assisted framework for systematic error analysis in clinical concept extraction. Res Sq. Preprint posted September 17, 2025. doi:10.21203/rs.3.rs-7151650/v1 

  1. Luo C, Islam MN, Sheils NE, et al. DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models. Nat Commun. 2022;13(1):1678. doi:10.1038/s41467-022-29160-4 

  1. McDonough CW, Breitenstein MK, Shahin M, et al. Translational informatics connects real-world information to knowledge in an increasingly data-driven world. Clin Pharmacol Ther. 2020;107(4):738-741. doi:10.1002/cpt.1719 

  1. Millar MM, Taft T, Weir CR. Clinical trial recruitment in primary care: exploratory factor analysis of a questionnaire to measure barriers and facilitators to primary care providers’ involvement. BMC Prim Care. 2022;23:311. doi:10.1186/s12875-022-01898-2 

  1. Mooney SD. Technology platforms and approaches for building and evaluating machine learning methods in healthcare. J Appl Lab Med. 2023;8(1):194-202. doi:10.1093/jalm/jfac113 

  1. Mora N, Mehall M, Lennox LA, Pincus HA, Charron D, Morrato EH. A national unmet needs assessment for CTSA-affiliated electronic health record data networks: a customer discovery approach. J Clin Transl Sci. 2024;8:e137. doi:10.1017/cts.2024.609 

  1. Mora N, Mehall M, Morlino R, Hopton T, Morrato E, Pincus H. Lessons learned from sustaining and transitioning a national EHR data network: the ENACT experience applying D&I science frameworks. Poster presented at: AcademyHealth 18th Annual Conference on the Science of Dissemination and Implementation in Health; December 16, 2025; National Harbor, MD. 

  1. Mora N, Morrato E, Mehall M. Employing D4DS principles: a sustainability plan for Evolve to Next-Gen Accrual to Clinical Trials (ENACT) Network, an electronic health record (EHR) network in academic medical research. Abstract presented at: APHA 2024 Annual Meeting and Expo; October 27-30, 2024; Minneapolis, MN. Available at: https://apha.confex.com/apha/2024/meetingapi.cgi/Paper/553347?filename=2024_Abstract553347.pdf&template=Word 

  1. Morrato EH, Lennox L. 2563 National dissemination of the accrual to clinical trials (ACT) network across the Clinical and Translational Science Award (CTSA) Consortium. J Clin Transl Sci. 2018;2(S1):44. doi:10.1017/cts.2018.172 

  1. Morrato EH, Lennox LA, Dearing JW, et al. The Evolve to Next-Gen ACT Network: an evolving open-access, real-world data resource primed for real-world evidence research across the Clinical and Translational Science Award Consortium. J Clin Transl Sci. 2023;7(1):e224. doi:10.1017/cts.2023.617 

  1.  Morrato EH, Lennox LA, Schuster A. “Public beta” dissemination: an entrepreneurial launch strategy applied to scaling up the Accrual to Clinical Trials (ACT) Network across the Clinical and Translational Science Award (CTSA) Consortium. Poster presented at: AcademyHealth 11th Annual Conference on the Science of Dissemination and Implementation in Health; December 3-5, 2018; Washington, DC. 

  1. Morrato EH, Lennox LA, Sendro ER, et al. Scale-up of the Accrual to Clinical Trials (ACT) network across the Clinical and Translational Science Award Consortium: a mixed-methods evaluation of the first 18 months. J Clin Transl Sci. 2020;4(6):515-528. doi:10.1017/cts.2020.505 

  1. Murphy SN, Visweswaran S, Becich MJ, et al. Research data warehouse best practices: catalyzing national data sharing through informatics innovation. J Am Med Inform Assoc. 2022;29(4):581-584. doi:10.1093/jamia/ocac024 

  1. Nelson SJ, Drury B, Hood D, et al. EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites. J Am Med Inform Assoc. 2022;29(4):652-659. doi:10.1093/jamia/ocab268 

  1. Niyibizi N, McIntosh S, Hudson BL, et al. CTSA recruitment resources: an inventory of what CTSA hubs are currently offering. J Clin Transl Sci. 2020;4(6):529-536. doi:10.1017/cts.2020.44 

  1. Nourelahi M, Sadhu EM, Samayamuthu MJ, Visweswaran S. A resource for Logical Observation Identifiers Names and Codes terms that may be associated with identifying information. J Am Med Inform Assoc. 2025;32(6):1066-1070. doi:10.1093/jamia/ocaf061 

  1. Parker C, Weiner M, Reeves M. Health information exchanges—unfulfilled promise as a data source for clinical research. Int J Med Inform. 2016;87:1-9. doi:10.1016/j.ijmedinf.2015.12.005 

  1. Peckham M, Spencer HJ, Syed S, et al. Breast and thyroid cancer: a multicenter study with Accrual to Clinical Trials Network. J Surg Oncol. 2022;125(8):1211-1217. doi:10.1002/jso.26825 

  1. Pfaff ER, Girvin AT, Gabriel DL, et al. Synergies between centralized and federated approaches to data quality: a report from the national COVID Cohort Collaborative. J Am Med Inform Assoc. 2022;29(4):609-618. doi:10.1093/jamia/ocab217 

  1. Ponce J, Anzalone AJ, Bailey K, et al. Impact of malnutrition on clinical outcomes in patients diagnosed with COVID-19. JPEN J Parenter Enteral Nutr. 2022;46(8):1797-1807. doi:10.1002/jpen.2418 

  1. Post AR, Ai M, Pai AK, Overcash M, Stephens DS. Architecting the data loading process for an i2b2 research data warehouse: full reload versus incremental updating. AMIA Annu Symp Proc. 2018;2017:1411-1420. 

  1. Post AR, Pai AK, Willard R, et al. Metadata-driven clinical data loading into i2b2 for clinical and translational science institutes. AMIA Jt Summits Transl Sci Proc. 2016;2016:184-193. 

  1. Rasmussen LV, Brandt PS, Jiang G, et al. Considerations for improving the portability of electronic health record-based phenotype algorithms. AMIA Annu Symp Proc. 2020;2019:755-764. 

  1. Richesson RL, Campion TR, Knosp BM, Hanauer DA. LOINC implementation approaches in academic medical research centers—results from a survey of CTSA sites. J Clin Transl Sci. 2025;9(1):e223. doi:10.1017/cts.2025.10151 

  1. Samayamuthu MJ, Kravchenko O, Lo-Ciganic WH, Sadhu EM, Yang S, Gopalakrishnan V, Visweswaran S. Estimating the incidence and risk factors of postpartum hemorrhage from the national ENACT network. Res Sq. Preprint posted November 21, 2025. doi:10.21203/rs.3.rs-7992461/v1 

  1. Samayamuthu MJ, Kravchenko O, Lo-Ciganic WH, Sadhu EM, Yang S, Visweswaran S, Gopalakrishnan V. Trends in postpartum hemorrhage prevalence and comorbidity burden: insights from the ENACT network aggregated electronic health record data. Res Sq. Preprint posted September 26, 2024. doi:10.21203/rs.3.rs-5041092/v1 

  1. Stensland KD, Richesson R, Johnson C, Sales A. Evolving a national clinical trials learning health system. Learn Health Syst. 2023;7(1):e10327. doi:10.1002/lrh2.10327 

  1. Visweswaran S, Becich MJ, D’Itri VS, et al. Accrual to Clinical Trials (ACT): a Clinical and Translational Science Award Consortium network. JAMIA Open. 2018;1(2):147-152. doi:10.1093/jamiaopen/ooy033 

  1. Visweswaran S, McLay B, Cappella N, Morris M, Milnes JT, Reis SE, et al. An atomic approach to the design and implementation of a research data warehouse. J Am Med Inform Assoc. 2022;29(4):601-608. doi:10.1093/jamia/ocab204 

  1. Visweswaran S, Samayamuthu MJ, Morris M, et al. Development of a coronavirus disease 2019 (COVID-19) application ontology for the Accrual to Clinical Trials (ACT) network. JAMIA Open. 2021;4(2):ooab036. doi:10.1093/jamiaopen/ooab036 

  1. Visweswaran S, Zhang LY, Bui K, Sadhu EM, Samayamuthu MJ, Morris MM. Sharing and reusing computable phenotype definitions. medRxiv. Preprint posted September 18, 2023. doi:10.1101/2023.09.17.23295681 

  1. Volkov BB, Ragon B, Doyle JM, Bredella MA. Adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs: overview of an environmental scan. J Clin Transl Sci. 2023;7(1):e43. doi:10.1017/cts.2022.483 

  1. Wagholikar KB, Ainsworth L, Zelle D, et al. I2b2-etl: Python application for importing electronic health data into the informatics for integrating biology and the bedside platform. Bioinformatics. 2022;38(20):4833-4836. doi:10.1093/bioinformatics/btac596 

  1. Wang TD, Henderson DW, Weber GM, et al. Understanding data differences across the ENACT federated research network. JAMIA Open. 2026;9(2):ooag038. doi:10.1093/jamiaopen/ooag038 

  1. Wang Y, Hilsman J, Li C, et al. Development and validation of natural language processing algorithms in the national ENACT network. J Clin Transl Sci. 2025;9:e195. doi:10.1017/cts.2025.10116