152 results on '"Manz, Christopher"'
Search Results
2. Large Language Models to Identify Advance Care Planning in Patients With Advanced Cancer
3. Content Analysis of Serious Illness Conversation Documentation: Structured vs. Free-Text Information
4. “You Want to Shield Your Kids”: Patients’ and Their Adult-Children's Serious Illness Conversations
5. Creating a culture for change: Lessons from behavioral economics and complexity science to increase serious illness conversations for patients with cancer
6. Changing treatment patterns for hepatocellular carcinoma: A Surveillance, Epidemiology, and End Results–Medicare study.
7. County-level jail and state-level prison incarceration and cancer mortality in the United States.
8. Clinician perspectives on machine learning prognostic algorithms in the routine care of patients with cancer: a qualitative study
9. Let Us Have the Conversation: Serious Illness Communication in Oncology: Definitions, Barriers, and Successful Approaches
10. Cancer care delivery in prisons: From barriers to best practices.
11. Barriers to serious illness conversations in patients with advanced cancer: A mixed methods study.
12. Racial disparities in hepatocellular carcinoma (HCC) treatment and survival: A SEER-Medicare analysis.
13. Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial
14. Spending Analysis of Machine Learning–Based Communication Nudges in Oncology
15. Oncologists' role in end‐of‐life chemotherapy and patient‐centered care.
16. Are linchpin oncologists keeping the wheels from falling off cancer care?
17. Disparities in cancer incidence and mortality for individuals incarcerated in Massachusetts (MA) state prisons compared to the general population.
18. Remote Patient-Reported Outcomes and Activity Monitoring to Improve Patient-Clinician Communication Regarding Symptoms and Functional Status: A Randomized Controlled Trial
19. Automated Text-Based Symptom Monitoring With Rapid Clinician Triage for Patients With Cancer and Suspected or Confirmed COVID-19
20. Leveraging Goals of Care Interventions to Deliver Personalized Care Near the End of Life
21. Effect of a MUC5AC Antibody (NPC-1C) Administered With Second-Line Gemcitabine and Nab-Paclitaxel on the Survival of Patients With Advanced Pancreatic Ductal Adenocarcinoma: A Randomized Clinical Trial
22. Association of Remote Patient-Reported Outcomes and Step Counts With Hospitalization or Death Among Patients With Advanced Cancer Undergoing Chemotherapy: Secondary Analysis of the PROStep Randomized Trial.
23. Cancer equity for those impacted by mass incarceration
24. Cancer Screening Rates and Outcomes for Justice-Involved Individuals: A Scoping Review
25. Long-term Effect of Machine Learning–Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer
26. Effect of a MUC5AC Antibody (NPC-1C) Administered With Second-Line Gemcitabine and Nab-Paclitaxel on the Survival of Patients With Advanced Pancreatic Ductal Adenocarcinoma
27. Abstract A050: Evaluation of the effect of Medicare’s Oncology Care Model on racial disparities in patient receipt of novel cancer therapies
28. Oncologist Perceptions of Algorithm-Based Nudges to Prompt Early Serious Illness Communication: A Qualitative Study
29. Association of Oncologist Participation in Medicare’s Oncology Care Model With Patient Receipt of Novel Cancer Therapies
30. Breast Medical Oncologists' Perspectives of Telemedicine for Breast Cancer Care: A Survey Study
31. Long-term effect of machine learning–triggered behavioral nudges on serious illness communication and end-of-life outcomes among patients with cancer: A randomized clinical trial.
32. Remote patient-reported symptoms and passive activity monitoring to improve patient-clinician communication regarding symptoms and functional status: A randomized controlled trial (PROStep).
33. Are linchpin oncologists keeping the wheels from falling off cancer care?
34. Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trial
35. Patient and clinician nudges to improve symptom management in advanced cancer using patient-generated health data: study protocol for the PROStep randomised controlled trial
36. Impact of Behavioral Nudges on the Quality of Serious Illness Conversations Among Patients With Cancer: Secondary Analysis of a Randomized Controlled Trial
37. Treatment utilization patterns of newly initiated oral anticancer agents in a national sample of Medicare beneficiaries
38. Disparities in cancer prevalence, incidence, and mortality for incarcerated and formerly incarcerated patients: A scoping review
39. Marketing to Physicians in a Digital World
40. Oncologist phenotypes and associations with response to a behavioral intervention to increase serious illness conversations.
41. Cancer COVID Watch: A feasibility study of intensive remote symptom monitoring via automated text messages with integrated nurse practitioner triage for patients with cancer and suspected or confirmed COVID-19.
42. Combining Machine Learning Predictive Algorithms With Behavioral Nudges to Increase Rates of Serious Illness Conversations in Patients With Cancer—Reply
43. Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer
44. Racial Disparities in Colorectal Cancer Recurrence and Mortality: Equitable Care, Inequitable Outcomes?
45. Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer
46. The Changing Characteristics of Technologies Covered by Medicare’s New Technology Add-on Payment Program
47. Impact of Behavioral Nudges on the Quality of Serious Illness Conversations Among Patients With Cancer: Secondary Analysis of a Randomized Controlled Trial.
48. Innovation and Access at the Mercy of Payment Policy: The Future of Chimeric Antigen Receptor Therapies
49. Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer
50. Mind the gap: how vulnerable patients fall through the cracks of cancer quality metrics
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