Clinical Decision Support Systems in Breast Cancer: A Systematic Review

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Title: Clinical Decision Support Systems in Breast Cancer: A Systematic Review
Authors: Mazo, ClaudiaKearns, CathrionaMooney, CatherineGallagher, William M.
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Date: 6-Feb-2020
Online since: 2020-12-01T15:16:32Z
Abstract: Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million new diagnoses worldwide every year. Personalised treatment is critical to optimising outcomes for patients with breast cancer. A major advance in medical practice is the incorporation of Clinical Decision Support Systems (CDSSs) to assist and support healthcare staff in clinical decision-making, thus improving the quality of decisions and overall patient care whilst minimising costs. The usage and availability of CDSSs in breast cancer care in healthcare settings is increasing. However, there may be differences in how particular CDSSs are developed, the information they include, the decisions they recommend, and how they are used in practice. This systematic review examines various CDSSs to determine their availability, intended use, medical characteristics, and expected outputs concerning breast cancer therapeutic decisions, an area that is known to have varying degrees of subjectivity in clinical practice. Utilising the methodology of Kitchenham and Charter, a systematic search of the literature was performed in Springer, Science Direct, Google Scholar, PubMed, ACM, IEEE, and Scopus. An overview of CDSS which supports decision-making in breast cancer treatment is provided along with a critical appraisal of their benefits, limitations, and opportunities for improvement.
Funding Details: Enterprise Ireland
European Commission Horizon 2020
Irish Research Council
Funding Details: Irish Cancer Society Collaborative Cancer Research
Type of material: Journal Article
Publisher: MDPI
Journal: Cancers
Volume: 12
Issue: 2
Start page: 369
Copyright (published version): 2020 the Authors
Keywords: Biomedical imagingBreast cancerClinical researchDecision support systemBreast cancer treatmentClinical decision support system
DOI: 10.3390/cancers12020369
Language: en
Status of Item: Peer reviewed
ISSN: 2072-6694
This item is made available under a Creative Commons License:
Appears in Collections:Conway Institute Research Collection
Computer Science Research Collection
Biomolecular and Biomedical Science Research Collection

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