Selected Publications

For complete list, see my Pubmed or Google Scholar pages

Human-Machine Collaboration

• Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations. Nature Medicine (with Xavier Orcutt, Ron Mamtani, and Qi Long)

• Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity. npj Precision Oncology (with Kate Nathanson and Ryan Chow)

• Long-term Effect of Machine Learning–Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer, JAMA Oncology (with Chris Manz)

• ACR: A Benchmark for Automatic Cohort Retrieval. arXiv (with Wael Salloum)

• Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer, JAMA Oncology (with Chris Manz and Mitesh Patel)

• Spending Analysis of Machine Learning–Based Communication Nudges in Oncology, NEJM AI (with Tej Patel and Jonathan Heintz)

• Validation of a machine learning algorithm to predict 180-day mortality for outpatients with cancer, JAMA Oncology (with Chris Manz & Jinbo Chen)

• Trajectories of mortality risk among patients with cancer and associated end-of-life utilization, npj Digital Medicine (with Manqing Liu & Jinbo Chen)

• Improving Racial Equity in the Veterans Health Administration Care Assessment Needs Risk Score, HSR (with Amol Navathe & Kristin Linn)

• Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic, JAMIA (with Jinbo Chen & Amol Navathe)

• Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trial, PLOS One (with Eric Li)

• A machine learning approach to identify distinct subgroups of veterans at risk for hospitalization or death using administrative and electronic health record data, PLOS One (with Amol Navathe & Kristin Linn)

• Regulation of predictive analytics in medicine, Science (with Amol Navathe & Ziad Obermeyer)

• Beyond genes and molecules-a precision delivery initiative for precision medicine, NEJM (with Amol Navathe & Sandy Schwartz)

• Integrating predictive analytics into high-value care: the dawn of precision delivery, JAMA (with David Bates & Meetali Kakad)

• Addressing bias in artificial intelligence in health care, JAMA (with Amol Navathe & Steph Teeple)

Cancer Care Delivery

• Association between FDA label restriction and immunotherapy and chemotherapy use in bladder cancer, JAMA (with Ronac Mamtani, Blythe Adamson, & Aaron Cohen)

• Exposure to US Cancer Drugs With Lack of Confirmed Benefit After US Food and Drug Administration Accelerated Approval, JAMA Oncology (with Ron Mamtani and Rebecca Hubbard)

• Association of utilization management policy with uptake of hypofractionated radiotherapy among patients with early-stage breast cancer, JAMA Oncology (with Justin Bekelman, Atul Gupta, & Gosia Sylwestrzak)

• Uptake and Survival Outcomes Following Immune Checkpoint Inhibitor Therapy Among Trial-Ineligible Patients With Advanced Solid Cancers, JAMA Oncology (with Ron Mamtani, Qi Long, and Rebecca Hubbard)

• Next-Generation Alternative Payment Models in Oncology—Will Precision Preclude Participation?, JAMA Oncology (with Stephen Schleicher & Sam Mullangi)

• Association of Remote Patient-Reported Outcomes and Step Counts With Hospitalization or Death Among Patients With Advanced Cancer Undergoing Chemotherapy. JMIR (with Chris Manz and Ian Barnett)

• Validation of Biomechanical Computed Tomography for Fracture Risk Classification in Metastatic Hormone-sensitive Prostate Cancer, European Urology Oncology (with John Lin and Alicia Morgans)

• Impact of the COVID-19 Pandemic on Treatment Patterns for Patients with Metastatic Solid Cancer in the United States, JNCI (with Sam Takorian, Ron Mamtani, & Rebecca Hubbard)

• Racial Differences in Germline Genetic Testing Completion Among Males With Pancreatic, Breast, or Metastatic Prostate Cancers, JNCCN (with Kara Maxwell and Jeff Shevach)

• Using Big Data and Predictive Analytics to Determine Patient Risk in Oncology, ASCO Educational Book (with Justin Bekelman)

• Digital Health Applications in Oncology: An Opportunity to Seize, JNCI (with the National Cancer Policy Forum)

• The Oncology Care Model at 5 Years—Value-Based Payment in the Precision Medicine Era, JAMA Oncology (with Stephen Schleicher & Sam Mullangi)

• Blood-based screening for colon cancer: a disruptive innovation or simply a disruption?, JAMA (with Vinay Prasad)

• Characteristics of physicians participating in Medicare’s Oncology Care Model bundled payment program, JCO Oncology Practice (with Amol Navathe, Zeke Emanuel, & Justin Bekelman)

• Remote Patient-Reported Outcomes and Activity Monitoring to Improve Patient-Clinician Communication Regarding Symptoms and Functional Status: A Randomized Controlled Trial. JCO Oncology Practice (with Chris Manz)

Advanced Illness

• Clinician- and Patient-Directed Communication Strategies for Patients With Cancer at High Mortality Risk: A Cluster Randomized Trial, JAMA Network Open (with Sam Takvorian)

• Early specialty palliative care—translating data in oncology into practice, NEJM (with Jennifer Temel, Tom Smith, & Rebecca Kirch)

• Precision Palliative Care as a Pragmatic Solution for a Care Delivery Problem, Journal of Clinical Oncology (with Ramy Sedhom and Larry Shulman)

• The Serious Illness Care Program: Implementing a Key Element of High-Quality Oncology Care. NEJM Catalyst (with Pallavi Kumar)

• Medicaid Expansion Associated With Increase In Palliative Care For People With Advanced-Stage Cancers. Health Affairs (with Xuesong Han and Robin Yabroff)

• Machine learning approaches to predict 6-month mortality among patients with cancer, JAMA Netw Open (with Chris Manz)

• Development and application of a machine learning approach to assess short-term mortality risk among patients with cancer starting chemotherapy, JAMA Netw Open (with Ziad Obermeyer, Aymen Elfiky, & Max Pany)

• Hospice Administrators’ and Providers’ Perspectives on Providing Upstream Palliative Care: Facilitators, Barriers, and Policy Prescriptions, Journal of Palliative Medicine (with Tamar Klaiman, Amol Navathe, and Zeke Emanuel)

• Clinician Perspectives on Virtual Specialty Palliative Care for Patients With Advanced Illnesses, Journal of Palliative Medicine (with Tamar Klaiman, Amol Navathe, and Zeke Emanuel)

• Oncologist Perceptions of Algorithm-Based Nudges to Prompt Early Serious Illness Communication: A Qualitative Study, Journal of Palliative Medicine (with Mitesh Patel, Judy Shea, and Jennifer Temel)

Policy and Advocacy

• Association of Participation in Medicare's Oncology Care Model With Spending, Utilization, and Quality Outcomes Among Commercially Insured and Medicare Advantage Members. Journal of Clinical Oncology (with Sam Mullangi, Amol Navathe, Ben Ukert, Aaron Schwartz)

• The COVID-19 Pandemic Led To A Large Decline In Physician Gross Revenue Across All Specialties In 2020, Health Affairs (with Zeke Emanuel and Amol Navathe)

• Paying for artificial intelligence in medicine, npj Digital Medicine (with Lorens Helmchen)

• Evaluation of spending differences between Medicare Advantage and the Medicare Shared Savings Program, JAMA Netw Open (with Zeke Emanuel and Amol Navathe)

• Trends in Enrollment in Employer-Sponsored Health Insurance in the US Before and During the COVID-19 Pandemic, JAMA Netw Open (with Zeke Emanuel and Amol Navathe)

• The Older Americans Act at 50—community-based care in a value-driven era, NEJM (with Joanne Lynn & Anne Montgomery)

• Getting real about health care costs—a broader approach to cost stewardship in medical education, NEJM (with Sachin Jain & Arnie Milstein)

• Metastasis-free survival in prostate cancer: Faster drug approvals, better drugs?, Journal of Clinical Oncology (with Vinay Prasad)

• Advancing a quality-of-life agenda in cancer advocacy: Beyond the war metaphor, JAMA Oncology (with Otis Brawley & Rebecca Kirch)