This course summarizes the information from the following Patient Safety abstracts:
- A Pilot Trial Using Telehealth in Radiation Oncology: The Future of Healthcare is Virtual
- Cardiovascular Event Reporting in Clinical Trials Involving Chest Radiation Therapy
- Effect of Neurofeedback and Simulation-based Training Interventions on Radiation Therapy Therapists' (RTTs) Mental Workload, Situation Awareness, and Performance
- Machine Learning to Improve the Prioritization and Effectiveness of Pre-Treatment Physics Chart Checks
- Categorizing Incident Learning Reports by Narrative Text Clustering to Improve Safety
The course is designed to meet the interests of practicing radiation oncologists, radiation oncology residents, medical and clinical physicists, surgeons, physicists, nurses, diagnostic radiologists, pathologists, radiation therapists, radiation dosimetrists, and all other health professionals involved in the field of radiation oncology.
Upon completion of this activity, learners should be able to do the following:
- Identify weaknesses and high-risk aspects in your own process of care.
- Implement practice changes to improve the safety and quality of patient treatments.
- Employ telehealth with safety and confidence.
Eric Ford, PhD is employed by University of Washington and has no other disclosures to declare.
The American Society for Radiation Oncology (ASTRO) is accredited by the Accreditation Council of Continuing Medical Education to provide continuing education to physicians.
- 0.75 AMA PRA Category 1 Credit™The American Society for Radiation Oncology (ASTRO) is accredited by the Accreditation Council for Continuing Medical Education for physicians. ASTRO designates this for a maximum of 0.75 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
- 0.75 Certificate of AttendanceThis activity was designated for 0.75 AMA PRA Category 1 Credit™.