Benefits realization management in the context of a national digital transformation initiative in English provider organizations

Autor: Kathrin Cresswell, Aziz Sheikh, Bryony Dean Franklin, Susan Hinder, Hung The Nguyen, Marta Krasuska, Wendy Lane, Hajar Mozaffar, Kathy Mason, Sally Eason, Henry W W Potts, Robin Williams

Publikováno v: Cresswell, K, Sheikh, A, Franklin, B D, Hinder, S, Nguyen, H T, Krasuska, M, Lane, W, Mozaffar, H, Mason, K, Eason, S, Potts, H W W & Williams, R 2021, ' Benefits realization management in the context of a national digital transformation initiative in English provider organizations ', Journal of the American Medical Informatics Association . https://doi.org/10.1093/jamia/ocab283
Journal of the American Medical Informatics Association : JAMIA

Background The Global Digital Exemplar (GDE) Programme is a national initiative to promote digitally enabled transformation in English provider organizations. The Programme applied benefits realization management techniques to promote and demonstrate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fdb77fea6165a809ac9f41785b6fa3d
https://doi.org/10.1093/jamia/ocab283

Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review

Autor: Øystein Nytrø, Lise Tuset Gustad, Melissa Yan

Publikováno v: Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association

Objective To determine the effects of using unstructured clinical text in machine learning (ML) for prediction, early detection, and identification of sepsis. Materials and methods PubMed, Scopus, ACM DL, dblp, and IEEE Xplore databases were searched

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1c7280e7c3a670f7ab184d84c04b5e
https://doi.org/10.1093/jamia/ocab236

Building capacity of community health centers to overcome data challenges with the development of an agile COVID-19 public health registry: a multistate quality improvement effort

Autor: Lisa Romero, Catharine Riley, Julia L. Skapik, Raymonde Uy, Jennifer M. Bombard, Michael Park, Pedro B Carneiro, Tebitha Mawokomatanda, Hollie A Clark, Alison F. Hinckley

Publikováno v: Journal of the American Medical Informatics Association : JAMIA

Objective During the coronavirus disease 2019 (COVID-19) pandemic, federally qualified health centers rapidly mobilized to provide SARS-CoV-2 testing, COVID-19 care, and vaccination to populations at increased risk for COVID-19 morbidity and mortalit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20f936420d6a965d69bf5d70a1581cfc
https://doi.org/10.1093/jamia/ocab233

Ensemble learning to predict opioid-related overdose using statewide prescription drug monitoring program and hospital discharge data in the state of Tennessee

Autor: Melissa L McPheeters, Ben Tyndall, Allison Roberts, Matthew C. Lenert, Sarah C. Lotspeich, Michael Ripperger, Sanura M. Latham, Drew Wilimitis, Carrie E Fry, Charlotte Cherry, Colin G. Walsh, Katelyn Robinson, Qingxia Chen

Publikováno v: Journal of the American Medical Informatics Association : JAMIA

Objective To develop and validate algorithms for predicting 30-day fatal and nonfatal opioid-related overdose using statewide data sources including prescription drug monitoring program data, Hospital Discharge Data System data, and Tennessee (TN) vi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8298218d99378f19666e7e934442eb94
https://doi.org/10.1093/jamia/ocab218

A comprehensive digital phenotype for postpartum hemorrhage

Autor: Amanda B Zheutlin, Shilong Li, Joanne Stone, Eric E. Schadt, Siobhan M Dolan, Emilio Schadt, Zichen Wang, Luciana Vieira, Ryan A Shewcraft, Li Li, Yu-Han Kao, Susan J. Gross

Publikováno v: Journal of the American Medical Informatics Association : JAMIA

Objective We aimed to establish a comprehensive digital phenotype for postpartum hemorrhage (PPH). Current guidelines rely primarily on estimates of blood loss, which can be inaccurate and biased and ignore complementary information readily available

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1abda0e1999e464458f097b238f4684c
https://doi.org/10.1093/jamia/ocab181