Infrastructure tools to support an effective Radiation Oncology Learning Health System.

Journal: Journal of applied clinical medical physics
PMID: 37624227

Abstract

PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the quality of care by integrating clinical, dosimetry, treatment delivery, research data in real-time. This paper describes a novel set of tools to support the development of a RO-LHS and the current challenges they can address.

Authors

  • Rishabh Kapoor
    Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, United States of America; National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA, United States of America.
  • William C Sleeman
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Preetam Ghosh
    Computer Science, Virginia Commonwealth University, 401 West Main Street, Richmond, 23284, VA, USA.
  • Jatinder Palta
    Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, United States of America; National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA, United States of America.

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