2022
The All of Us Research Program: Data quality, utility, and diversity
Ramirez A, Sulieman L, Schlueter D, Halvorson A, Qian J, Ratsimbazafy F, Loperena R, Mayo K, Basford M, Deflaux N, Muthuraman K, Natarajan K, Kho A, Xu H, Wilkins C, Anton-Culver H, Boerwinkle E, Cicek M, Clark C, Cohn E, Ohno-Machado L, Schully S, Ahmedani B, Argos M, Cronin R, O’Donnell C, Fouad M, Goldstein D, Greenland P, Hebbring S, Karlson E, Khatri P, Korf B, Smoller J, Sodeke S, Wilbanks J, Hentges J, Mockrin S, Lunt C, Devaney S, Gebo K, Denny J, Carroll R, Glazer D, Harris P, Hripcsak G, Philippakis A, Roden D, Program T, Ahmedani B, Johnson C, Ahsan H, Antoine-LaVigne D, Singleton G, Anton-Culver H, Topol E, Baca-Motes K, Steinhubl S, Wade J, Begale M, Jain P, Sutherland S, Lewis B, Korf B, Behringer M, Gharavi A, Goldstein D, Hripcsak G, Bier L, Boerwinkle E, Brilliant M, Murali N, Hebbring S, Farrar-Edwards D, Burnside E, Drezner M, Taylor A, Channamsetty V, Montalvo W, Sharma Y, Chinea C, Jenks N, Cicek M, Thibodeau S, Holmes B, Schlueter E, Collier E, Winkler J, Corcoran J, D’Addezio N, Daviglus M, Winn R, Wilkins C, Roden D, Denny J, Doheny K, Nickerson D, Eichler E, Jarvik G, Funk G, Philippakis A, Rehm H, Lennon N, Kathiresan S, Gabriel S, Gibbs R, Rico E, Glazer D, Grand J, Greenland P, Harris P, Shenkman E, Hogan W, Igho-Pemu P, Pollan C, Jorge M, Okun S, Karlson E, Smoller J, Murphy S, Ross M, Kaushal R, Winford E, Wallace F, Khatri P, Kheterpal V, Ojo A, Moreno F, Kron I, Peterson R, Menon U, Lattimore P, Leviner N, Obedin-Maliver J, Lunn M, Malik-Gagnon L, Mangravite L, Marallo A, Marroquin O, Visweswaran S, Reis S, Marshall G, McGovern P, Mignucci D, Moore J, Munoz F, Talavera G, O'Connor G, O'Donnell C, Ohno-Machado L, Orr G, Randal F, Theodorou A, Reiman E, Roxas-Murray M, Stark L, Tepp R, Zhou A, Topper S, Trousdale R, Tsao P, Weidman L, Weiss S, Wellis D, Whittle J, Wilson A, Zuchner S, Zwick M. The All of Us Research Program: Data quality, utility, and diversity. Patterns 2022, 3: 100570. PMID: 36033590, PMCID: PMC9403360, DOI: 10.1016/j.patter.2022.100570.Peer-Reviewed Original Research
2020
Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research.
Choi Y, López J, Meeker D, Ohno-Machado L, Kim K. Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research. AMIA Annual Symposium Proceedings 2020, 2019: 305-312. PMID: 32308823, PMCID: PMC7153117.Peer-Reviewed Original ResearchConceptsClinical Data Research NetworkHeart failure patientsLarge cohort studyResearch participationResearch NetworkCohort studyFailure patientsOne-time surveyPatient cohortObservational studyPatient motivationWeight controlSignificant associationClinical researchPatientsPrecision medicineHealth dataRecruitment effortsNational effortsActivity interestsSurgeryCohort
2018
A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis.
Vaidya J, Shafiq B, Asani M, Adam N, Jiang X, Ohno-Machado L. A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis. AMIA Annual Symposium Proceedings 2018, 2017: 1695-1704. PMID: 29854240, PMCID: PMC5977652.Peer-Reviewed Original ResearchConceptsPrivacy-preserving approachData management systemBig dataBiomedical datasetsClassification taskBiomedical dataContext of regressionManagement systemSynthetic dataGeneration methodologyEssential problemResearch tasksAdditional datasetsDatasetTaskSignificant effortsDirect accessFirstorder approximationDataParticular typeAccessPrecision medicinePerfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage
Chen F, Jiang X, Wang S, Schilling L, Meeker D, Ong T, Matheny M, Doctor J, Ohno-Machado L, Vaidya J. Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage. IEEE Internet Computing 2018, 22: 32-41. PMID: 29867290, PMCID: PMC5983039, DOI: 10.1109/mic.2018.112102542.Peer-Reviewed Original ResearchPrivacy-preserving record linkagePrivacy/security concernsRecord linkage solutionsApproximate matching mechanismsPatient health dataSecurity concernsMatching mechanismLinkage solutionsHealth recordsHealth dataRecord linkageSecureSharingFirst stepPersonalized careEfficientPortable methodHealth record linkageAccessPrecision medicineData
2017
Integrated precision medicine: the role of electronic health records in delivering personalized treatment
Sitapati A, Kim H, Berkovich B, Marmor R, Singh S, El‐Kareh R, Clay B, Ohno‐Machado L. Integrated precision medicine: the role of electronic health records in delivering personalized treatment. WIREs Mechanisms Of Disease 2017, 9 PMID: 28207198, PMCID: PMC5400726, DOI: 10.1002/wsbm.1378.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements