Gregory E. Simon, M.D., M.P.H. (Kaiser Permanente Washington Health Research Institute, Seattle) join Dr. Dixon and Dr. Berezin to discuss the <a href= "https://ps.psychiatryonline.org/doi/10.1176/appi.ps.20230380" target="_blank" rel="noopener">use of machine learning models</a> to analyze electronic health records to predict antidepressant treatment response. 00:00     Introduction 02:31    Focus on practical research 04:55    Population studied 05:57    Predicting outcomes 07:20    Using diagnostic codes, not personalized notes 08:04    What three data items might be more helpful? 08:49    What key indicators are we missing in clinical care? 11:35    A billing tool, not a clinical tool 12:57    Is suicide a predictable event based on electronic health record data? 14:48    “Machine learning and artificial intelligence”  16:15    Methods 18:59     Can we do a better job clarifying what we mean by depression? 22:32    How can we use a predictive model in clinical practice? 28:20    Predictive models, probability, the weather, and communicating  <a href= "https://ps.psychiatryonline.org/pb-assets/podcasts/transcripts/PS/PS_Simon_February_2024_transcript.pdf" target="_blank" rel="noopener">Transcript</a> Subscribe to the podcast <a href= "https://ps.psychiatryonline.org/podcast" target="_blank" rel= "noopener">here</a>. Check out <a href= "https://ps.psychiatryonline.org/editorschoice" target="_blank" rel="noopener">Editor's Choice</a>, a set of curated collections from the rich resource of articles published in the journal. <a href= "https://www.appi.org/etocs" target="_blank" rel= "noopener">Sign up</a> to receive notification of new Editor's Choice collections. Browse other articles on our <a href= "https://ps.psychiatryonline.org/" target="_blank" rel= "noopener">website</a>. Be sure to let your colleagues know about the podcast, and please rate and review it wherever you listen to it. <a href= "https://www.psychiatryonline.org/podcasts" target="_blank" rel= "noopener">Listen to other podcasts</a> produced by the American Psychiatric Association. Follow the journal on <a href= "https://twitter.com/APAPubJournals" target="_blank" rel= "noopener">Twitter</a>. E-mail us at <a href= "mailto:psjournal@psych.org?subject=Podcast">psjournal@psych.org</a>

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66: Predicting Outcomes of Antidepressant Treatment in Community Practice Settings

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