A5078959000- Advances in Oncology and Radiotherapy
- Economic and Financial Impacts of Cancer
- Health Systems, Economic Evaluations, Quality of Life
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Advanced Radiotherapy Techniques
- Radiation Dose and Imaging
Duke University
2020-2024
Duke Medical Center
2021
Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited prospective studies investigating the clinical impact of ML in health care. The objective study was determine whether can identify high-risk patients and direct mandatory twice-weekly visits during treatment.During single-institution randomized quality...
Machine learning (ML) may cost-effectively direct health care by identifying patients most likely to benefit from preventative interventions avoid negative and expensive outcomes. System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT; NCT04277650) was a single-institution, randomized controlled study in which electronic record-based ML accurately identified at high risk acute (emergency visit or hospitalization) during radiotherapy (RT) targeted them supplemental clinical...
1509 Background: SHIELD-RT was a randomized controlled quality improvement study (NCT03775265) that implemented electronic health record-based machine learning (ML) to direct supplemental visits for high risk (HR) patients undergoing radiotherapy (RT). Acute care (ER or hospitalizations) were reduced from 22% 12%. We evaluated the costs associated with acute in this study. Methods: Patients who initiated RT between 1/7/19 and 6/30/19 at single institution by ML algorithm identify HR courses...