To the Editor I would like to thank Manz et al1 for their randomized clinical trial determining the efficacy of using machine learning (ML) mortality predictions combined with behavioral economic principles in increasing serious illness conversations (SICs) between clinicians and high-risk patients with cancer. The authors concluded that the combination of predictive algorithms and behavioral nudges significantly increased rates of SICs.
Identify all potential conflicts of interest that might be relevant to your comment.
Conflicts of interest comprise financial interests, activities, and relationships within the past 3 years including but not limited to employment, affiliation, grants or funding, consultancies, honoraria or payment, speaker's bureaus, stock ownership or options, expert testimony, royalties, donation of medical equipment, or patents planned, pending, or issued.
Err on the side of full disclosure.
If you have no conflicts of interest, check "No potential conflicts of interest" in the box below. The information will be posted with your response.
Not all submitted comments are published. Please see our commenting policy for details.
Yang QZC. Combining Machine Learning Predictive Algorithms With Behavioral Nudges to Increase Rates of Serious Illness Conversations in Patients With Cancer. JAMA Oncol. 2021;7(5):781–782. doi:10.1001/jamaoncol.2020.8488
Coronavirus Resource Center
Customize your JAMA Network experience by selecting one or more topics from the list below.