11:45 AM to 12:25 PM
Bias and Ethics in AI and Healthcare
Room: Rutter Center Robertson Auditorium 3
Track: Data & Analytics
Presenter(s): Jinoos Yazdany, Gabriela Schmajuk, Milena Gianfrancesco, Sara Murray

This session will examine the potential sources of bias when building artificial intelligence (AI) systems in health care and lay out a framework for proactively identifying and preventing or mitigating bias . Topics will include identifying biases due to missing data and groups not identified by machine learning algorithms, sample size and underestimation, and misclassification and measurement error.


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Connecting Researcher, Research and Impact With Dimensions, UCSF's New Research Analytics and Competitive Intelligence Tool
Room: Rutter Center Conference Room 1
Track: Data & Analytics
Presenter(s): Kristin Dolan, Anirvan Chatterjee, Anneliese Taylor

Earlier this year, UCSF purchased a subscription to Dimensions – a powerful research analytics and competitive intelligence tool developed by Digital Science. Dimensions is a dynamic, easy-to-use platform that offers a better, faster way to discover, understand and analyze the global research landscape. Users can explore the connections between different researchers and institutions and access scholarly data, such as funded grants, publications, clinical trials, patents and policy documents that they have contributed to the academic sphere.


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Connecting the Doers at UCSF - The Value of Communities of Practice
Room: Rutter Center Conference Room 4
Track: Digital@UCSF
Presenter(s): Oksana Gologorskaya, Robert Thombley, Rhett Hillary
As organizers of NLP@UCSF, we will tell a story of how a community of practice at UCSF around new field of interest - Natural Language Processing - was started and how it turned into a "thing" - with its living "rhythm" of meetups, vibrant and real people connections, intense knowledge sharing, contagious energy and motivation to learn and  most importantly, the gift of professional opportunities - both expected and surprising - it keeps giving. We will also share some lessons learned from being the organizers of this CoP - things that worked and didn't, with the aim of inspiring others to create their own communities!
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Developing Clinical Reasoning Skills through Asynchronous Connections
Room: Genentech Hall S204
Track: Education
Presenter(s): Sonny Tat

Clinicians go through years of education to gain medical knowledge. But the hard learning starts long after they receive their last degrees or graduate from residency. Clinicians go on to spend the rest of their careers developing clinical reasoning: Learning how to actually apply that knowledge. And advanced skill, clinical reasoning develops from experience and clinical context. In many ways, clinical reasoning and not necessarily knowledge separates the novice from the master clinician.


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Engaging Users in the Redesign of a Curriculum Management Platform
Room: Genentech Hall Auditorium
Track: Education
Presenter(s): Cali Nguyen, Alexa Tan

To support the implementation of a transformed Doctor of Pharmacy (PharmD) program – which includes didactic coursework, patient care skills, pharmacy practice experiences, and team-based research projects – the School of Pharmacy has deconstructed and rebuilt our approach on how we utilize Ilios as an all-in-one educational platform to collect, manage, analyze, and deliver curricular information to students, faculty, and administrators.


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Let’s Text! Let’s Text! Improving Engagement in Mental Health Services with the HealthySMS System
Room: Rutter Center Conference Room 3
Track: Digital@UCSF
Presenter(s): Lauren Haack, Sabrina Darrow, Caroline Figueroa

Share UCSF data responsiblyRecent applications of innovative mobile health (mHealth) tools, such as text messaging (SMS), hold promise for increasing Evidence-Based Intervention (EBI) effectiveness.


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Location Intelligence to Understand Effect of Place and Health
Room: Rutter Center Robertson Auditorium 2
Track: Research
Presenter(s): Mono Simeone, Priyanka Vyas

As neighborhood factors and built environment become increasingly relevant for understanding the pathways to certain health behavior and outcomes, Geographic Information Systems (GIS) offers a variety of opportunity to study these linkages. The availability of location data at the individual level, such as residential locations, along with census data and freely available spatial data from a variety of resources provide an opportunity to assess the context of place and the people that drive differentials in health outcomes. 


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Top Tips for Providing High-Quality, Team-Based Care by Video Visit
Room: Rutter Center Conference Room 2
Track: Healthcare
Presenter(s): Brook Calton, Gayle Kojimoto, Kara Bischoff, Patrick Shibley, Marsha Blachman, Eve Cohen

Palliative care is specialized, holistic medical care focused on improving quality of life for people with serious illness. Palliative care teams, comprised of nurses, social workers, chaplains and physician focus on symptom management, decision making, expert communication, and psychosocial and spiritual issues.


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UCSF Fresno Research Data Browser | Connecting with Diverse Patient Populations
Room: Genentech Hall S202
Track: Research
Presenter(s): Jennifer Dodd, Gilbert Ramirez
With project support from the chancellor’s strategic initiative funding and the support of UCSF’s department of Population Health and Health Equity, UCSF Fresno made a project plan to develop a data analytic dashboard portal. Data will span from 2013-present. Data will be used for research and population health studies and quality initiatives. This project demonstrates how UCSF through its partnerships, persistence, and resourcefulness makes non-UCSF patient data available to researchers.
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12:30 PM to 1:10 PM
Healthcare Keynote: Healthcare Ethics and Digital Science: New Ethics for New Technologies?
Room: Rutter Center Robertson Auditorium 1
Track: Healthcare
Presenter(s): Chris Cassel

Understanding of the National and International Context in which ethical frameworks are being established for the use of patient data in artificial intelligence and machine learning.  Guidance for clinicians, researcher and innovators for emerging public engagement and government regulation of this technology. 

Speaker's Notes: https://ucsf.box.com/s/bt4ny03d06f7rf8xubx5i72s2497fwyt (MyAccess login required)


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