Clinical decision support for therapeutic decision-making in cancer: a systematic review
Abstract
Cancer management, including supportive care, is complex and requires availability and synthesis of published and patient-specific data to make appropriate therapeutic decisions. Clinical decision support (CDS) may be an effective implementation strategy to support complex decision making although it is unclear whether it improves process outcomes, patient outcomes or both in cancer settings. We therefore conducted a systematic review to identify CDS that have been used to support therapeutic decision making in clinical cancer settings. Outcomes of interest included the effect of CDS on the process, such as clinician's decision making and effect on patient outcomes. Ten studies met inclusion criteria, with variability in the study design, setting, and intervention. Of the nine studies that measured process outcomes, five demonstrated significant improvement; and of the six that measured patient outcomes, four demonstrated significant improvement. All included studies utilized CDS that were informed by clinical practice guidelines. In conclusion, CDS to guide cancer therapeutic decision making is an understudied but promising area. Further research is needed.
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- Authors
- Beauchemin, M., Murray, M. T., Sung, L., Hershman, D. L., Weng, C., & Schnall, R.
- Affiliations
- Columbia University Irving Medical Center (US)
- Columbia University (US)
- Hospital for Sick Children (CA)
- Corresponding author
- Beauchemin, Melissa
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 130
- Pages
- 103940
- ISSN
- 1386-5056 (ISSN-L)
- PMC
- PMC7024607
- OpenAlex
- W2967599871
- Cited by
- 38
- References
- 47
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 10 · 2023: 4 · 2022: 13 · 2021: 3 · 2020: 2 · 2018: 1
- FWCI
- 0.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Cancer Society
- Foundation for the National Institutes of Health
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- clinical decision support, cancer therapy, treatment decision-making, supportive care, patient outcomes, clinician decision-making, process outcomes
- MeSH terms
- Decision Making, Humans, Neoplasms, Decision Support Systems, Clinical
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