Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. LHS Collaboratory (January 18, 2022 12:00pm) https://events.umich.edu/event/89940 89940-21666535@events.umich.edu Event Begins: Tuesday, January 18, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

This presentation will explore how Big Data Science and Informatics research can overcome deficiencies within the electronic health record and optimize real world data collection. We will discuss examples of how standardized nomenclature integrated into clinical workflow can enable statistical AI methods to advance clinical decision support and improve outcome models. Our successes in radiation oncology come from single multi-institutional, multi-national and multi-professional society collaboration.

Presenters:
Charles Mayo, PhD
Professor
Director of Radiation Oncology Informatics and Analytics
Department of Radiation Oncology
University of Michigan Medical School

Michelle Mierzwa, MD
Associate Professor
Associate Chair of Clinical Research
Co-Chair of Head and Neck Clinical Trials
Department of Radiation Oncology
University of Michigan Medical School

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Lecture / Discussion Tue, 11 Jan 2022 15:56:37 -0500 2022-01-18T12:00:00-05:00 2022-01-18T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
LHS Collaboratory (February 24, 2022 12:00pm) https://events.umich.edu/event/90079 90079-21667713@events.umich.edu Event Begins: Thursday, February 24, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

The session will describe the landscape history, current status, and future of federated health data networks that are used to support a Learning Health System. Dr. Brown will describe the creation, infrastructure, operation, and uses of several networks from the perspective of a network coordinating center. Dr. Harris will describe insights from participating in multiple networks as a network partner, including infrastructure, governance, and operational lessons learned.

Presenters:
Jeffrey Brown, PhD
Dr. Brown is the inventor of PopMedNet, an open-source software platform that facilitates creation and operation of distributed health data networks.

Marcelline Harris, Ph.D., RN, FACMI
Associate Professor Emerita
Department of Systems, Populations and Leadership
University of Michigan School of Nursing

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Lecture / Discussion Sat, 29 Jan 2022 11:26:41 -0500 2022-02-24T12:00:00-05:00 2022-02-24T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
LHS Collaboratory (March 22, 2022 12:00pm) https://events.umich.edu/event/90095 90095-21667763@events.umich.edu Event Begins: Tuesday, March 22, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Presentation 1: PCORNet and the PaTH subnetwork

Kathleen McTigue, MD, MPH, MS

In this talk, Kathleen McTigue describes the vision of PCORNet, its organization, and its value to the field of clinical research. PCORNet is divided into regional subnetworks one of which is PaTH. The organization of PaTH along with its priories will be discussed.

Presentation 2: UM’s site within PCORNet/PaTH

David Williams, PhD

The University of Michigan is an institutional member of PaTH/PCORNet.
In this talk, David Williams describes the organization and processes of the UM site within PCORNet/PaTH, studies in which UM participates, and resources for UM investigators interested in participating in PCORNet studies.

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Lecture / Discussion Wed, 15 Dec 2021 22:38:45 -0500 2022-03-22T12:00:00-04:00 2022-03-22T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
LHS Collaboratory (June 21, 2022 12:00pm) https://events.umich.edu/event/95245 95245-21789057@events.umich.edu Event Begins: Tuesday, June 21, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

"Restructuring health systems for learning: Building equity into the Learning Health System"
Learn more about ELSI-LHS (Ethical, Legal, and Social Implications of Learning Health Systems). The session will be moderated by, Jody E. Platt, MPH, PhD, Assistant Professor of Learning Health Sciences.

Speaker:
Lauren A. Taylor, PhD, MDiv, MPH
Assistant Professor
Department of Population Health
Division of Medical Ethics
NYU Grossman School of Medicine

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Lecture / Discussion Wed, 25 May 2022 00:20:49 -0400 2022-06-21T12:00:00-04:00 2022-06-21T13:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
LHS Collaboratory (September 22, 2022 12:00pm) https://events.umich.edu/event/96027 96027-21791723@events.umich.edu Event Begins: Thursday, September 22, 2022 12:00pm
Location: Palmer Commons
Organized By: Department of Learning Health Sciences

LHS Collaboratory Kickoff Poster Session Showcasing LHS Work at the University of Michigan

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Lecture / Discussion Tue, 12 Jul 2022 10:55:57 -0400 2022-09-22T12:00:00-04:00 2022-09-22T14:00:00-04:00 Palmer Commons Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
EMERSE Meeting Series (October 11, 2022 1:00pm) https://events.umich.edu/event/98192 98192-21795695@events.umich.edu Event Begins: Tuesday, October 11, 2022 1:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speaker:
Mark Beno, MSM
Executive Director, Cleveland Institute for Computational Biology,
School of Medicine, Case Western Reserve University

The Electronic Medical Record Search Engine (EMERSE) was installed at University Hospitals of Cleveland (UH) in 2021 by the Cleveland Institute for Computational Biology (CICB), a collaboration between Case Western Reserve University (CWRU) and UH.  At present, EMERSE contains indexed medical notes from 2018 through present for over 1.7 million UH patients.  This presentation will discuss the strategies we employed to successfully install EMERSE, the lessons-learned in rolling out EMERSE to research and operational teams, some research success stories since EMERSE adoption, and the additional tools we have developed as add-ons to the EMERSE application that we use internally for tracking EMERSE metrics and plan to share with the broader EMERSE community.

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Lecture / Discussion Tue, 06 Sep 2022 23:35:08 -0400 2022-10-11T13:00:00-04:00 2022-10-11T14:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion EMERSE logo
LHS Collaboratory (October 20, 2022 12:00pm) https://events.umich.edu/event/96028 96028-21791725@events.umich.edu Event Begins: Thursday, October 20, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speakers:
Alex John London, PhD
Professor of Ethics and Philosophy
Director of the Center for Ethics and Policy at Carnegie Mellon University
Explainability Is Not the Solution to Structural Challenges to AI in Medicine

Explainability is often treated as a necessary condition for ethical applications of artificial intelligence (AI) in Medicine. In this brief talk I survey some of the structural challenges facing the development and deployment of effective AI systems in health care to illustrate some of the limitations to explainability in addressing these challenges. This talk builds on prior work (London 2019, 2022) to illustrate how ambitions for AI in health care likely require significant changes to key aspects of health systems.

Melissa McCradden, PhD, MHSc
Director of AI in Medicine
The Hospital for Sick Children
On the Inextricability of Explainability from Ethics: Explainable AI does not Ethical AI Make

Explainability is embedded into a plethora of legal, professional, and regulatory guidelines as it is often presumed that an ethical use of AI will require explainable algorithms. There is considerable controversy, however, as to whether post hoc explanations are computationally reliable, their value for decision-making, and the relational implications of their use in shared decision-making. This talk will explore the literature across these domains and argue that while post hoc explainability may be a reasonable technical goal, it should not be offered status as a moral standard by which AI use is judged to be ‘ethical.’

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Livestream / Virtual Sat, 01 Oct 2022 17:10:43 -0400 2022-10-20T12:00:00-04:00 2022-10-20T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo
LHS Collaboratory (November 8, 2022 12:00pm) https://events.umich.edu/event/96029 96029-21791726@events.umich.edu Event Begins: Tuesday, November 8, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

LHS Collaboratory November Session

Speaker:

Kadija Ferryman, PhD
Assistant Professor
Johns Hopkins Bloomberg School of Public Health

In this talk, Professor Ferryman will discuss the merits and challenges of conducting health equity reviews of artificial intelligence (AI) tools used in health and medicine. The talk will examine how interdisciplinary approaches from the social sciences, bioethics and humanities, and computational fields can be involved in the development of concepts, methods, frameworks, and guidelines for understanding and governing digital health tools.

Dr. Kadija Ferryman is a cultural anthropologist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health. As a Postdoctoral Scholar at the Data & Society Research Institute in New York, she led the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine.

She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research. Before completing her PhD, she was a policy researcher at the Urban Institute where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults.

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Livestream / Virtual Thu, 06 Oct 2022 17:39:25 -0400 2022-11-08T12:00:00-05:00 2022-11-08T13:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo