Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Shelley A. Rusincovitch"'
Autor:
Samuel I. Berchuck, Matthew M. Engelhard, Shelley A. Rusincovitch, Scott H. Kollins, Jyotsna Garg, Geraldine Dawson, Andrew Olson, Ricardo Henao
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports
Scientific Reports
Children with autism spectrum disorder (ASD) or attention deficit hyperactivity disorder (ADHD) have 2–3 times increased healthcare utilization and annual costs once diagnosed, but little is known about their utilization patterns early in life. Qua
Autor:
Bradi B. Granger, Shelley A. Rusincovitch, Suzanne eAvery, Bryan C. Batch, Ashley A. Dunham, Mark N. Feinglos, Katherine eKelly, Marjorie ePierre-Louis, Susan E. Spratt, Robert M. Califf
Publikováno v:
Frontiers in Pharmacology, Vol 4 (2013)
Purpose: Poor adherence to prescribed medicines is associated with increased rates of poor outcomes, including hospitalization, serious adverse events, and death, and is also associated with increased healthcare costs. However, current approaches to
Externí odkaz:
https://doaj.org/article/8dc0b752def343f98935b8358c2d0fda
Autor:
Steven J. Lippmann, W. Schuyler Jones, E. Hope Weissler, Shelley A. Rusincovitch, Jikai Zhang, Ricardo Henao
Publikováno v:
Circulation. Cardiovascular interventions. 13(10)
Background: Peripheral artery disease (PAD) is underrecognized, undertreated, and understudied: each of these endeavors requires efficient and accurate identification of patients with PAD. Currently, PAD patient identification relies on diagnosis/pro
Autor:
Samuel I. Berchuck, Scott H. Kollins, Matthew M. Engelhard, Shelley A. Rusincovitch, Geraldine Dawson, Jyotsna Garg
Publikováno v:
Journal of Attention Disorders. 25:1639-1639
Background: Children with ADHD have 2 to 3 times increased health care utilization and annual costs once diagnosed, but little is known about utilization patterns early in life, prior to diagnosis. Quantifying early health services use among children
Autor:
Brooke L Heidenfelder, Udi E. Ghitza, Susan E. Spratt, Robert Lindblad, Li-Tzy Wu, Paul C. VanVeldhuisen, Bryan C. Batch, Shelley A. Rusincovitch, Ashley A. Dunham, Therese K. Killeen, Kathleen T. Brady
Publikováno v:
Contemporary Clinical Trials. 46:30-38
Background The Affordable Care Act encourages healthcare systems to integrate behavioral and medical healthcare, as well as to employ electronic health records (EHRs) for health information exchange and quality improvement. Pragmatic research paradig
Autor:
Tony Schibler, Shelley A. Rusincovitch, Benjamin A. Goldstein, Bryan C. Batch, Li-Tzy Wu, Kathleen T. Brady, Michael J. Pencina, Leoncio Flavio Rojas, Ashley A. Dunham, Udi E. Ghitza
Publikováno v:
Drug and Alcohol Dependence. 156:162-169
BackgroundComorbid diabetes and substance use diagnoses (SUD) represent a hazardous combination, both in terms of healthcare cost and morbidity. To date, there is limited information about the association of SUD and related mental disorders with type
Autor:
Rachel L. Richesson, Denise Cifelli, Cynthia Kluchar, Meredith Nahm, Gregory E. Simon, John F. Dickerson, Robert M. Califf, Rosemary Madigan, W. Ed Hammond, Douglas Wixted, Reesa Laws, Shelley A. Rusincovitch, Jennifer G. Robinson, Alan Bauck, Michelle M. Smerek
Publikováno v:
Journal of the American Medical Informatics Association. 20:e226-e231
Widespread sharing of data from electronic health records and patient-reported outcomes can strengthen the national capacity for conducting cost-effective clinical trials and allow research to be embedded within routine care delivery. While pragmatic
Autor:
Mark N. Feinglos, Bryan C. Batch, Douglas Wixted, Susan E. Spratt, Marie Lynn Miranda, Shelley A. Rusincovitch, Robert M. Califf, W. Ed Hammond, Rachel L. Richesson
Publikováno v:
Journal of the American Medical Informatics Association. 20:e319-e326
Objective This study compares the yield and characteristics of diabetes cohorts identified using heterogeneous phenotype definitions. Materials and methods Inclusion criteria from seven diabetes phenotype definitions were translated into query algori
Autor:
Amanda Elliott, Nicole E. Jelesoff, Ebony Boulware, Benjamin Neely, Katherine Pereira, Pamela Barth, Michael J. Pencina, Leonor Corsino, Shelley A. Rusincovitch, Jennifer B. Green, Susan E. Spratt, Monica Tang, Alexander Clark, Beatrice Hong, Rachel L. Richesson, Marie Lynn Miranda, Isaretta L. Riley, Anna Beth Barton, Bryan C. Batch, Carly E Kelley, Ewa Ruel, Joseph E. Lucas, Katherine Kelly, Bradi B. Granger, Kristen Hyland, Charlotte L. Nelson, Jyothi P. Rao, Eugenia R. McPeek Hinz, Marjorie Pierre-Louis, Kay Lyn Morrissey, Melanie Mabrey, Matthew Phelan, Benjamin A. Goldstein
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA. 24(e1)
Objective: We assessed the sensitivity and specificity of 8 electronic health record (EHR)-based phenotypes for diabetes mellitus against gold-standard American Diabetes Association (ADA) diagnostic criteria via chart review by clinical experts. Mate
Summary Objectives: The goal of this survey is to discuss the impact of the growing availability of electronic health record (EHR) data on the evolving field of Clinical Research Informatics (CRI), which is the union of biomedical research and inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d01f12b0384d4c73b5da7da2f902263
https://europepmc.org/articles/PMC4287078/
https://europepmc.org/articles/PMC4287078/