The Gap Between Technology and Ethics, Especially in Low- and Middle-Income Country Health Information Systems: A Bibliometric Study

Autor: James, Thomas, Rebecca, Carlson, Michelle, Cawley, Quan, Yuan, Victoria, Fleming, Fei, Yu

Publikováno v: Studies in health technology and informatics. 290

Digital health information systems are quickly replacing paper systems worldwide. This study examined scholarly work reflecting how ethical considerations for health information systems (HISs) have evolved over time, with particular interest in the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::24c2967265bcd031b188a54d133d2edd
https://pubmed.ncbi.nlm.nih.gov/35673149

Creating a Data Science Framework: A Model for Academic Research Libraries

Autor: Therese Triumph, Joseph Williams, Nandita S. Mani, Amanda Henley, Michelle Cawley

Publikováno v: Journal of Library Administration. 61:281-300

The University Libraries participated in a pan-campus planning exercise to determine the feasibility of a comprehensive data science (DS) initiative. In addition, Library Leadership set forth a cha...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::77cf08c67589b7aaeee8c8ef8f16b920
https://doi.org/10.1080/01930826.2021.1883366

Evidence Map and Systematic Review of Disinfection Efficacy on Environmental Surfaces in Healthcare Facilities

Autor: Aayush Bhatt, Tanmay Joshi, Jamie Bartram, Yuhong Shu, Kylie Heilferty, Karen Grigg, Don Fejfar, Grace Pelak, Emilio Berdiel, Emily J. Grant, Collin Knox Coleman, Cailee Harrington, Grace Cho, Ryan Cronk, Suniti Mohan, Helen Atkinson, Elizabeth Christenson, Michelle Cawley

Publikováno v: International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 11100, p 11100 (2021)

Healthcare-associated infections (HAIs) contribute to patient morbidity and mortality with an estimated 1.7 million infections and 99,000 deaths costing USD $28–34 billion annually in the United States alone. There is little understanding as to if

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbff4d9616d8afeba2ca18e256cebf2a
http://europepmc.org/articles/PMC8582915

Active learning in automated text classification: a case study exploring bias in predicted model performance metrics

Autor: Michelle Cawley, Tao Hong, George Agyeman-Badu, Arun Varghese, Chelsea Hunter

Publikováno v: Environment Systems and Decisions. 39:269-280

Machine learning has emerged as a cost-effective innovation to support systematic literature reviews in human health risk assessments and other contexts. Supervised machine learning approaches rely on a training dataset, a relatively small set of doc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed0b66e25b5b58e61a2b7c98516b1c45
https://doi.org/10.1007/s10669-019-09717-3

Novel text analytics approach to identify relevant literature for human health risk assessments: A pilot study with health effects of in utero exposures

Autor: Andrew K. Hotchkiss, Michelle Cawley, Ellen Kirrane, Jessica Wignall, John Cowden, Arun Varghese, Brandy Beverly, Reeder Sams, Renee Beardslee

Publikováno v: Environment International, Vol 134, Iss, Pp-(2020)
Environ Int

Background Systematic reviews involve mining literature databases to identify relevant studies. Identifying potentially relevant studies can be informed by computational tools comparing text similarity between candidate studies and selected key (i.e.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab0aa3d72d63c5b497139f73cbea5006
http://www.sciencedirect.com/science/article/pii/S0160412019308463