Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Katy E Trinkley"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e55472 (2024)
With the widespread implementation of electronic health records (EHRs), there has been significant progress in developing learning health systems (LHSs) aimed at improving health and health care delivery through rapid and continuous knowledge generat
Externí odkaz:
https://doaj.org/article/7f1f5a7f05a0434697c809c5afdf88ef
Autor:
Jonathan Lipsey, Larry A. Allen, Robert L. Page, Laura J. Helmkamp, Grace Venechuk, Katy E. Trinkley, Daniel D. Matlock, Colleen K. McIlvennan
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e34178- (2024)
A potential contributor to the suboptimal rates of guideline directed medical therapy (GDMT) prescribing for heart failure with reduced ejection fraction (HFrEF) is the burden of multimorbidity in patients with HFrEF. We examined the effect of multim
Externí odkaz:
https://doaj.org/article/a8ab72cc3dbd453ab778f55a324ceef3
Publikováno v:
Implementation Science, Vol 19, Iss 1, Pp 1-15 (2024)
Abstract Background The field of implementation science was developed to address the significant time delay between establishing an evidence-based practice and its widespread use. Although implementation science has contributed much toward bridging t
Externí odkaz:
https://doaj.org/article/6da0c7152fb44a76989d4434ed56e8b4
Autor:
Katy E. Trinkley, Russell E. Glasgow, Sidney D’Mello, Meredith P. Fort, Bryan Ford, Borsika A. Rabin
Publikováno v:
Implementation Science Communications, Vol 4, Iss 1, Pp 1-15 (2023)
Abstract Background To increase uptake of implementation science (IS) methods by researchers and implementers, many have called for ways to make it more accessible and intuitive. The purpose of this paper is to describe the iPRISM webtool (Iterative,
Externí odkaz:
https://doaj.org/article/236743d2508c406abc43b157132e6f66
Autor:
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner, Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya B. Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin A. Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-18 (2023)
Abstract Common data models solve many challenges of standardizing electronic health record (EHR) data but are unable to semantically integrate all of the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry on
Externí odkaz:
https://doaj.org/article/19e71d5e4d104d89b86f312e42ae7202
Autor:
Rachel Kim, Krithika Suresh, Michael A. Rosenberg, Malinda S. Tan, Daniel C. Malone, Larry A. Allen, David P. Kao, Heather D. Anderson, Premanand Tiwari, Katy E. Trinkley
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
Introduction/backgroundPatients with heart failure and reduced ejection fraction (HFrEF) are consistently underprescribed guideline-directed medications. Although many barriers to prescribing are known, identification of these barriers has relied on
Externí odkaz:
https://doaj.org/article/91269e04017d47ccb6279af93e4ce1d7
Publikováno v:
Implementation Science Communications, Vol 3, Iss 1, Pp 1-10 (2022)
Abstract Background As the field of implementation science wrestles with the need for system decision-makers to anticipate the budget impact of implementing new programs, there has been a push to report implementation costs more transparently. For th
Externí odkaz:
https://doaj.org/article/677c79ab36ab43ce8dafcf2a6c6451da
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 12, p e42163 (2022)
BackgroundDrug-induced long-QT syndrome (diLQTS) is a major concern among patients who are hospitalized, for whom prediction models capable of identifying individualized risk could be useful to guide monitoring. We have previously demonstrated the fe
Externí odkaz:
https://doaj.org/article/4da93b637c3a431aac20f5299357c16a
Autor:
Naweid Maten, PharmD, Miranda E. Kroehl, MS, PhD, Danielle F. Loeb, MD, MPH, Shubha Bhat, PharmD, MS, Taylor Ota, PharmD, Sarah J. Billups, PharmD, Lisa M. Schilling, MD, MSPH, Simeon Heckman, MS, RN, Crystal Reingardt, MPH, Katy E. Trinkley, PharmD, PhD
Publikováno v:
Mental Health Clinician, Vol 11, Iss 5, Pp 267-273 (2021)
Introduction: Many health care institutions are working to improve depression screening and management with the use of the Patient Health Questionnaire 9 (PHQ-9). Clinical decision support (CDS) within the EHR is one strategy, but little is known abo
Externí odkaz:
https://doaj.org/article/ee82d69aa3944a34b986cec04dcd53d2
Publikováno v:
Journal of Clinical and Translational Science, Vol 5 (2021)
Machine learning (ML) provides the ability to examine massive datasets and uncover patterns within data without relying on a priori assumptions such as specific variable associations, linearity in relationships, or prespecified statistical interactio
Externí odkaz:
https://doaj.org/article/6c70dbc069854deda4d4a1647e558542