Risk prediction tools in surgical oncology

Christine V. Kinnier, Elliot A. Asare, Sanjay Mohanty, Jennifer L. Paruch, Ravi Rajaram, Karl Y. Bilimoria*

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Healthcare has increasingly focused on patient engagement and shared decision-making. Decision aids can promote engagement and shared decision making by providing patients and their providers with care options and outcomes. This article discusses decision aids for surgical oncology patients. Topics include: short-term risk prediction following surgery, long-term risk prediction of survival and recurrence, the combination of short- and long-term risk prediction to help guide treatment choice, and decision aid usability, transparency, and accessibility.

Original languageEnglish (US)
Pages (from-to)500-508
Number of pages9
JournalJournal of surgical oncology
Volume110
Issue number5
DOIs
StatePublished - Oct 1 2014

Keywords

  • decision support techniques
  • health literacy
  • nomograms
  • patient-centered care

ASJC Scopus subject areas

  • Surgery
  • Oncology

Fingerprint Dive into the research topics of 'Risk prediction tools in surgical oncology'. Together they form a unique fingerprint.

  • Cite this

    Kinnier, C. V., Asare, E. A., Mohanty, S., Paruch, J. L., Rajaram, R., & Bilimoria, K. Y. (2014). Risk prediction tools in surgical oncology. Journal of surgical oncology, 110(5), 500-508. https://doi.org/10.1002/jso.23714