This is my archive
Rafe McBeth
Director of Artificial Intelligence, University of Pennsylvania Department of Radiation Oncology Rafe McBeth, PhD, DABR, is an Innovation Faculty member at the Penn Center for Cancer Care Innovation (PC3I),…
Michael Anne Kyle
Michael Anne Kyle, PhD, RN is an Innovation Faculty member at the Penn Center for Cancer Care Innovation (PC3I) and Assistant Professor in the Department of Medical Ethics and…
Predictive Algorithm to Improve Financial Toxicity Monitoring in Patients with Cancer
Project Description Financial hardship, which is affected by socioeconomic and clinical factors such as health insurance, employment, social support, income, cancer type and stage, and treatment plans, impacts…
Decision Tree to Improve Access for People with Gynecologic Cancer
Project Description Gynecologic cancers—a category including cervical, uterine, and all other forms of cancer that originate in the female reproductive system—affect roughly 100,000 women each year. Unfortunately, for…
Default EHR Orders to Increase Palliative Care Referrals In a Large Community Oncology Network
Project Description For patients with advanced cancer, palliative care can holistically improve their quality of life through pain relief, symptom management, and psychosocial support. Palliative care also provides…
Electronic Health Record Nudges to Improve Equitable Genetic Screening in Young-Onset Colorectal Cancer
Project Description Recent years have seen an increase in rates of young-onset colorectal cancer (CRC), a diagnosis of CRC prior to the age of 50. When CRC is…
Ramy Sedhom
Medical Oncologist and Palliative Care Physician, Penn Medicine – Princeton Medical Center Assistant Professor, Hematology & Oncology, Perelman School of Medicine Ramy Sedhom, M.D. is the Director for…
TIME: Text-based Intervention to Minimize the Time Burden of Routine Cancer Care
Project Description Patients with advanced cancer spend a significant portion of their remaining survival time interacting with the health system: commuting to, waiting for, and receiving care. For…
Examining Racial Bias in Predictive Analytic Tools to More Equitably Distribute Care to At-Risk Veterans
Project Description In order to target care resources equitably and efficiently, the Veterans Health Administration (VA) has implemented novel predictive analytic tools in clinical care settings, including the…
Increasing Rates of Serious Illness Conversations through Patient and Clinician Nudges
Project Description A national guideline-endorsed practice, serious illness conversations (SICs) are an opportunity for patients to share their wishes, care preferences, values, and goals as their disease progresses.