Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eugenia R. McPeek-Hinz"'
Autor:
Jashalynn C. German, Andrew Stirling, Patti Gorgone, Amanda R. Brucker, Angel Huang, Shwetha Dash, David J. Halpern, Nrupen A. Bhavsar, Eugenia R. McPeek Hinz, Richard P. Shannon, Susan E. Spratt, Benjamin A. Goldstein
Publikováno v:
Journal of Clinical and Translational Science, Vol 8 (2024)
Abstract Objective: Type 2 diabetes (T2DM) poses a significant public health challenge, with pronounced disparities in control and outcomes. Social determinants of health (SDoH) significantly contribute to these disparities, affecting healthcare acc
Externí odkaz:
https://doaj.org/article/067da8d4c9e74c51b4f8ea544b3d297f
Autor:
Grace Lee, Rebecca Liu, Eugenia R. McPeek Hinz, Janet Prvu Bettger, John Purakal, Susan E. Spratt
Publikováno v:
International Journal of Integrated Care, Vol 24, Pp 10-10 (2024)
Introduction: Although unmet social needs can impact health outcomes, health systems often lack the capacity to fully address these needs. Our study describes a model that organized student volunteers as a community-based organisation (CBO) to serve
Externí odkaz:
https://doaj.org/article/428c3ac3138e4bee8872def7b16d2c34
Publikováno v:
NEJM Catalyst. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d501a1275c609b04e86da08e291606d8
https://doi.org/10.1056/cat.22.0324
https://doi.org/10.1056/cat.22.0324
Publikováno v:
Academic medicine : journal of the Association of American Medical Colleges. 97(9)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9493a5482beeb52054b9f858ce23aa5e
https://pubmed.ncbi.nlm.nih.gov/36098775
https://pubmed.ncbi.nlm.nih.gov/36098775
Autor:
Brian Bonanno, R. Clayton Musser, Felice McNair, Nancy W. Knudsen, Michael Palko, Hui-Jie Lee, Jane P. Gagliardi, Alison S. Clay, Eugenia R. McPeek Hinz
Publikováno v:
Academic Medicine. 96:900-905
Purpose When the Centers for Medicare and Medicaid Services (CMS) changed policies about medical student documentation, students with proper supervision may now document their history, physical exam, and medical decision-making in the electronic heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb58fbe6f8fcba33d1de56a50bd2292
https://doi.org/10.1097/acm.0000000000003729
https://doi.org/10.1097/acm.0000000000003729
Publikováno v:
AMIA Annu Symp Proc
The COVID-19 pandemic challenged how healthcare systems provided care in socially distanced formats. We hypothesized that the COVID-19 era changes in clinical care delivery models contributed to increased Electronic Health Record (EHR) related work.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5edc1bdb2988d19ae2a23645a76082e6
https://pubmed.ncbi.nlm.nih.gov/35308951
https://pubmed.ncbi.nlm.nih.gov/35308951
Autor:
Yi Ren, Alexander Fenn, Sarah D. Tait, E. Shelley Hwang, Eugenia R. McPeek Hinz, Mina Boazak, Sachiko M. Oshima
Publikováno v:
JAMA internal medicine. 181(2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6652340c367d24e667bad6a8ba331511
https://pubmed.ncbi.nlm.nih.gov/33284316
https://pubmed.ncbi.nlm.nih.gov/33284316
Autor:
Joshua C. Denny, Yukun Chen, Anushi Shah, Robert J. Carroll, Anne E. Eyler, Hua Xu, Eugenia R. McPeek Hinz
Publikováno v:
Journal of the American Medical Informatics Association. 20:e253-e259
Objectives Generalizable, high-throughput phenotyping methods based on supervised machine learning (ML) algorithms could significantly accelerate the use of electronic health records data for clinical and translational research. However, they often r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dd140d1df2562787740d4eb2cd73e91
https://doi.org/10.1136/amiajnl-2013-001945
https://doi.org/10.1136/amiajnl-2013-001945
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bd0df9f1e2e54746dba205d59ea783d
https://pubmed.ncbi.nlm.nih.gov/27616701
https://pubmed.ncbi.nlm.nih.gov/27616701
Autor:
Jonathan S. Schildcrout, Mei Liu, Hua Xu, Joshua C. Denny, Eugenia R. McPeek Hinz, Michael E. Matheny, Randolph A. Miller
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA. 20(3)
Objective Medication safety requires that each drug be monitored throughout its market life as early detection of adverse drug reactions (ADRs) can lead to alerts that prevent patient harm. Recently, electronic medical records (EMRs) have emerged as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a982af87233f80464768590fa2a02bf
https://pubmed.ncbi.nlm.nih.gov/23161894
https://pubmed.ncbi.nlm.nih.gov/23161894