Machine Learning and Other Emerging Decision Support Tools

Jason M Baron; Danielle E Kurant; Anand S Dighe

doi:10.1016/j.cll.2019.01.010

Machine Learning and Other Emerging Decision Support Tools

Clin Lab Med. 2019 Jun;39(2):319-331. doi: 10.1016/j.cll.2019.01.010. Epub 2019 Mar 28.

Authors

Jason M Baron¹, Danielle E Kurant², Anand S Dighe²

Affiliations

¹ Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02214, USA. Electronic address: jmbaron@partners.org.
² Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02214, USA.

PMID: 31036284
DOI: 10.1016/j.cll.2019.01.010

Abstract

Emerging applications of machine learning and artificial intelligence offer the opportunity to discover new clinical knowledge through secondary exploration of existing patient medical records. This new knowledge may in turn offer a foundation to build new types of clinical decision support (CDS) that provide patient-specific insights and guidance across a wide range of clinical questions and settings. This article will provide an overview of these emerging approaches to CDS, discussing both existing technologies as well as challenges that health systems and informaticists will need to address to allow these emerging approaches to reach their full potential.

Keywords: Artificial intelligence; Clinical decision support; Computational pathology; Knowledge discovery; Machine learning.

Publication types

Review

MeSH terms

Clinical Laboratory Information Systems / organization & administration*
Decision Support Systems, Clinical*
Humans
Machine Learning*