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UID:10001637-1770976800-1770980400@ohsu-psu-sph.org
SUMMARY:OCTRI-BERD Seminar - Algorithmic bias: a practical introduction
DESCRIPTION:Hosted by Alicia Johnson\, MPH \nClinical algorithms assist healthcare providers with decision-making based on a small set of demographic and clinical characteristics. While they can be useful tools\, algorithms are created using data from sources such as electronic health records or longitudinal studies. They reflect the features present in that data – which may include a lack of representation of various subgroups of the population\, selection bias that may differ among subgroups\, systematic measurement error\, and more. In clinical settings\, these biases can manifest as results that may be inaccurate for certain groups of patients\, potentially leading to misdiagnosis\, missed opportunities for treatment\, and other undesirable outcomes. \nThis talk provides an introduction to the concept of algorithmic bias\, illustrating how it may show up through examples from various areas in medicine. The goal of this talk is to support attendees in understanding algorithmic bias\, the limitations of clinical prediction rules\, and the impact algorithmic bias may have on patients. We will also discuss how to begin to identify and minimize the impact of algorithmic bias. \nThis introductory seminar is appropriate for those who are familiar with clinical algorithms and are curious to learn about their limitations. Healthcare providers\, analysts\, students\, and others are welcome. \nRegister via Compass. This seminar will be recorded.
URL:https://ohsu-psu-sph.org/event/octri-berd-seminar-algorithmic-bias-a-practical-introduction/
LOCATION:VIRTUAL\, Portland\, OR\, United States
CATEGORIES:Lecture & Webinars
ORGANIZER;CN="OCTRI Biostatistics%2C Epidemiology%2C and  Research Design (BERD) and  Informatics Programs":MAILTO:laird@ohsu.edu
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DTSTART;TZID=America/Los_Angeles:20260213T120000
DTEND;TZID=America/Los_Angeles:20260213T130000
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CREATED:20260202T195600Z
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SUMMARY:Consensus Deep Search: Dive into the Literature with Generative AI
DESCRIPTION:Learn how Consensus uses AI to find and analyze scholarly literature by identifying key claims\, supporting evidence\, and research gaps. This workshop introduces the Consensus platform and examines how AI-driven retrieval influences what information appears\, how it’s ranked\, and how these insights can inform your research process. Participants will also reflect on the opportunities and challenges of using generative AI in academic research.  \nBy the end of this session\, learners will be able to: \n\nDescribe the strengths and limitations of generative AI-assisted search tools\nIdentify OHSU policies related to the use of publicly available generative AI tools\nUse the features of Consensus for scholarly literature searching\nAnalyze the implications of Consensus’s search coverage and functionality\nCompare Consensus to similar AI tools\n\nOHSU users have subscription access to Consensus if they register at Consensus.app with their OHSU email address. \nThis workshop will be recorded\, and the recording will be shared with all registered attendees after the session. If you cannot make the workshop date and time\, you are welcome to register in order to receive a copy of the recording.  \nREGISTER FOR EVENT
URL:https://ohsu-psu-sph.org/event/consensus-deep-search-dive-into-the-literature-with-generative-ai-2/
LOCATION:VIRTUAL\, Portland\, OR\, United States
CATEGORIES:OHSU
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