Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sadie Lanes"'
Publikováno v:
British Journal of Healthcare Management. 29:12-19
Machine learning has the potential to transform how healthcare is delivered. It can support clinical decision making, determine the risk, presence and prognosis of disease and help optimise patient pathways. Widespread use and access to digital healt
Publikováno v:
British Journal of Healthcare Management. 28:225-231
In this article, Roberts et al discuss the importance of SNOMED CT in improving electronic health records, and the benefits this can bring healthcare organisations, professionals and patients.
Autor:
Luke Roberts, Sadie Lanes, Jemma Kyte, Joanne Grady, Jonathan Holdship, Caroline Carey, Katrina Cooney, Suneil Ramessur
Publikováno v:
British Journal of Nursing. 31:541-548
Background: Pain is a leading cause of disability worldwide. Pain assessments are an essential part of evidence-based care and management. Among comparable care providers, there is variation in how nurses document assessments as well as the content i
Publikováno v:
Health Information Management Journal. :183335832211446
Background Healthcare data frequently lack the specificity level needed to achieve clinical and operational objectives such as optimising bed management. Pneumonia is a disease of importance as it accounts for more bed days than any other lung diseas
Publikováno v:
Respiratory Therapeutics Week; 10/7/2024, p1364-1364, 1p
Autor:
Roberts, Luke, Lanes, Sadie, Kyte, Jemma, Grady, Joanne, Holdship, Jonathan, Carey, Caroline, Cooney, Katrina, Ramessur, Suneil
Publikováno v:
British Journal of Nursing; 5/26/2022, Vol. 31 Issue 10, p541-548, 8p
Supplemental Material for The importance of SNOMED CT concept specificity in healthcare analytics by Luke Roberts, Sadie Lanes, Oliver Peatman, and Phil Assheton in Health Information Management Journal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8613a36879f586e93c2999216557263d