TY - GEN
T1 - Patient-Centered Outcomes Research in Practice
T2 - 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
AU - Solomonides, Anthony
AU - Goel, Satyender
AU - Hynes, Denise
AU - Silverstein, Jonathan C.
AU - Hota, Bala
AU - Trick, William
AU - Angulo, Francisco
AU - Price, Ron
AU - Sadhu, Eugene
AU - Zelisko, Susan
AU - Fischer, James
AU - Furner, Brian
AU - Hamilton, Andrew
AU - Phua, Jasmin
AU - Brown, Wendy
AU - Hohmann, Samuel F.
AU - Meltzer, David
AU - Tarlov, Elizabeth
AU - Weaver, Frances M.
AU - Zhang, Helen
AU - Concannon, Thomas
AU - Kho, Abel
N1 - Publisher Copyright:
© 2015 IMIA and IOS Press.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - CAPriCORN, the Chicago Area Patient Centered Outcomes Research Network, is one of the eleven PCORI-funded Clinical Data Research Networks. A collaboration of six academic medical centers, a Chicago public hospital, two VA hospitals and a network of federally qualified health centers, CAPriCORN addresses the needs of a diverse community and overlapping populations. To capture complete medical records without compromising patient privacy and confidentiality, the network created policies and mechanisms for patient consultation, central IRB approval, de-identification, de-duplication, and integration of patient data by study cohort, randomization and sampling, re-identification for consent by providers and patients, and communication with patients to elicit patient-reported outcomes through validated instruments. The paper describes these policies and mechanisms and discusses two case studies to prove the feasibility and effectiveness of the network.
AB - CAPriCORN, the Chicago Area Patient Centered Outcomes Research Network, is one of the eleven PCORI-funded Clinical Data Research Networks. A collaboration of six academic medical centers, a Chicago public hospital, two VA hospitals and a network of federally qualified health centers, CAPriCORN addresses the needs of a diverse community and overlapping populations. To capture complete medical records without compromising patient privacy and confidentiality, the network created policies and mechanisms for patient consultation, central IRB approval, de-identification, de-duplication, and integration of patient data by study cohort, randomization and sampling, re-identification for consent by providers and patients, and communication with patients to elicit patient-reported outcomes through validated instruments. The paper describes these policies and mechanisms and discusses two case studies to prove the feasibility and effectiveness of the network.
KW - Aggregation
KW - Comparative Effectiveness Research
KW - Consent
KW - Data Collection
KW - Data Linkage
KW - Data Sets
KW - Deidentification
KW - Electronic Health Records
KW - Patient-Centered Outcomes Research
KW - Re-identification
UR - http://www.scopus.com/inward/record.url?scp=84952054325&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84952054325&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-564-7-584
DO - 10.3233/978-1-61499-564-7-584
M3 - Conference contribution
C2 - 26262118
AN - SCOPUS:84952054325
T3 - Studies in Health Technology and Informatics
SP - 584
EP - 588
BT - MEDINFO 2015
A2 - Georgiou, Andrew
A2 - Sarkar, Indra Neil
A2 - de Azevedo Marques, Paulo Mazzoncini
PB - IOS Press
Y2 - 19 August 2015 through 23 August 2015
ER -