Machine Learning and Health Outcomes in Cancer Care Delivery Research (Overview)

Overview

The National Cancer Institute conducted a Machine Learning and Health Outcomes in Cancer Care Delivery Research virtual workshop on May 16-17, 2022 focused on research in machine learning, cancer care delivery, and health outcomes. The goals of the workshop was to identify scientific gaps, barriers, and opportunities in this emerging area of cancer-focused healthcare research. Recordings from the meeting are available here

Workshop Background
The application of machine learning and natural language processing on electronic health record data has resulted in new approaches and data sources used in healthcare delivery to improve cancer care quality and patient health outcomes. These methods allow researchers to

  • Analyze complex, underused, high-burden, healthcare data sources 

  • Identify and classify patients at a high risk of poorer health outcomes

  • Build tailored direct clinical care applications

Workshop Goals
The goal of this workshop was to highlight current cancer-focused research in health outcome risk prediction, symptom trajectories, natural language processing methods, and point-of-care decision support. Panel sessions identified the strengths and potential of machine learning methods, barriers, and opportunities specific to cancer care delivery research. 

For further information or questions about the meeting, contact NCIHDRP@mail.nih.gov.