Data-driven shared decision-making: a paradigm shift

  • Rianne Fijten Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands https://orcid.org/0000-0002-1964-6317
  • Leonard Wee Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands
  • Andre Dekker Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands
  • Cheryl Roumen Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands
Keywords: paradigm, data science, decision making, personalized medicine, shared decision-making, data-driven shared decision-making

Abstract

At first sight, shared decision-making and data science seem like two vastly different fields. Yet, despite their differences, both fields could, if combined, reinforce clinical utility for both. Here we describe a new paradigm called data-driven shared decision-making (dSDM), an extension of the existing shared decision-making paradigm. In dSDM, data’s role and its interaction with the patient and doctor are made explicit. Furthermore, we describe the opportunities and challenges of combining data science and shared decision-making into this new paradigm. We believe that dSDM will bridge the gap between the need for patient empowerment and the need for more personalized medicine.

Published
2021-11-09
How to Cite
Fijten, R., Wee, L., Dekker, A., & Roumen, C. (2021). Data-driven shared decision-making: a paradigm shift. Journal of Radiation Oncology Informatics, 11(2), 4. https://doi.org/10.5166/jroi.11.2.1
Section
Articles