Open AccessEffective resource management using machine learning in medicine: an applied example
Author(s) -
Alan D. Williams,
Ann-Marie Mekhail,
James B. Williams,
Johanna McCord,
Vanessa Buchan
Publication year - 2018
Publication title -
bmj simulation and technology enhanced learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.292
H-Index - 9
ISSN - 2056-6697
DOI - 10.1136/bmjstel-2017-000289
Subject(s) - computer science , health care , workflow , analytics , scheduling (production processes) , sample (material) , process (computing) , artificial intelligence , machine learning , data science , operations management , engineering , database , chemistry , chromatography , economics , economic growth , operating system
The field of medicine is rapidly becoming digitised, and in the process passively amassing large volumes of healthcare data. Machine learning and data analytics are advancing rapidly, but these have been slow to be taken up in the day-to-day delivery of healthcare. We present an application of machine learning to optimise a laboratory testing programme as an example of benefiting from these tools.