Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. LHS Collaboratory March Session (March 25, 2021 12:00pm) https://events.umich.edu/event/82008 82008-21006745@events.umich.edu Event Begins: Thursday, March 25, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speakers Stefan Boes, PhD and Sarah Mantwill, PhD from the university of Lucerne will discuss the Swiss Learning Health System.

Promoting and supporting uptake of evidence and evidence-informed decision-making in health-systems related policy and practice is a challenge. In Switzerland, the need to address this matter has been increasingly emphasized by different actors in the health system. In particular, the lack of comprehensive coordination efforts in the field of health services research, and subsequent knowledge translation activities, has been stressed. In response, the Swiss Learning Health System (SLHS) was established as a nationwide project in 2017, currently involving 10 academic partner institutions. One of the overarching objectives of the SLHS is to bridge research, policy, and practice by providing an infrastructure that supports learning cycles by: continuously identifying issues relevant to the Swiss health system, systemizing relevant evidence, presenting potential courses of action, and revising and reshaping responses. Key features of learning cycles in the SLHS include the development of policy/evidence briefs that serve as a basis for stakeholder dialogues with actors from research, policy and practice. Issues that are identified to be further pursued are monitored for potential implementation and eventually evaluated to inform new learning cycles and to support continuous learning within the system.

Dr. Boes and Dr. Mantwill will provide an overview of the SLHS and its key features, as well as its capacity building efforts to train young researchers in the field of learning health systems, and the development of a centralized metadata repository in support of creating a sufficient large evidence basis to support learning cycles in the Swiss health system. Further, they will discuss lessons learned from the past and the newest developments of the SLHS in light of a second funding phase supported by the Swiss government.

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Livestream / Virtual Thu, 25 Feb 2021 23:57:27 -0500 2021-03-25T12:00:00-04:00 2021-03-25T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory Logo
LHS Collaboratory-Summer Workshop (June 24, 2021 1:00pm) https://events.umich.edu/event/83809 83809-21538171@events.umich.edu Event Begins: Thursday, June 24, 2021 1:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

This virtual workshop will review the basic concepts behind Learning Health Systems including the learning cycle, infrastructure, and learning communities.  Participants will engage in a collaborative activity to design a learning cycle.

Registration for this virtual event is limited-
please register early!

Charles P. Friedman

Department Chair of Learning Health Sciences
Josiah Macy Jr. Professor of Medical Education
Professor of Information
Professor of Public Health
University of Michigan

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Workshop / Seminar Tue, 20 Apr 2021 10:17:48 -0400 2021-06-24T13:00:00-04:00 2021-06-24T16:00:00-04:00 Off Campus Location Department of Learning Health Sciences Workshop / Seminar LHS Collaboratory logo
LHS Collaboratory 2021-2022 Kick-off Session (September 30, 2021 12:00pm) https://events.umich.edu/event/84725 84725-21624492@events.umich.edu Event Begins: Thursday, September 30, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Presentation 1
The Learning Health (Record) System

Speaker:
Philip R.O. Payne, PhD, FACMI, FAMIA, FAIMBE, FIAHSI
Janet and Bernard Becker Professor and Director, Institute for Informatics (I2), Associate Dean for Health information and Data Science, Chief Data Scientist, at Washington University in St. Louis

This presentation will explore the ways in Biomedical Data Science and Informatics research are helping to realize the potential of EHR technologies in the context of creating an LHS, from the optimization of workflow and human factors, to the generation of reproducible and systematic clinical phenotypes, to the delivery of emergent knowledge to both providers and patients via advance clinical decision support systems.

Presentation 2
Techniques and Challenges for EHR Phenotyping

Speaker:
Lisa Bastarache, MS
Research Associate Professor Department of Biomedical Informatics,
Vanderbilt University

Electronic health records (EHR) contain a wealth of real world data that can be used for research purposes. However, extracting phenotype information from EHRs can be challenging. EHR phenotyping can be divided into two types: (1) Fast phenotyping which seeks to capture a broad swath of the medical phenome, and is often accomplished using coded EHR data (e.g. billing codes) and (2) slow phenotyping that seeks to achieve high precision and recall for a single phenotype, and often uses multiple EHR data types (e.g. medications, text, lab results). This talk will describe specific use-cases for both fast and slow phenotyping, and review challenges that are commonly encountered in creating research-grade EHR phenotypes.

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Lecture / Discussion Mon, 27 Sep 2021 11:13:17 -0400 2021-09-30T12:00:00-04:00 2021-09-30T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory Logo
LHS Collaboratory (October 19, 2021 12:00pm) https://events.umich.edu/event/87559 87559-21644084@events.umich.edu Event Begins: Tuesday, October 19, 2021 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Unlike structured data, unstructured data are often buried within free text clinical narratives that are difficult to analyze and interpret to derive useful insights. Free text cannot be easily categorized in the same way that a structured, numerical data point can, and unstructured data often have nuances that are not easily captured or represented in structured data.

This session will cover methods and techniques for interpreting and converting unstructured text into useful research data using two related, but distinct approaches: (1) Natural Language Processing (NLP), a specialized branch of AI focused on the interpretation and manipulation of human-generated spoken or written data; and (2) information retrieval, which often underlies many search engine technologies. This session will also highlight EMERSE, an open-source information retrieval tool that has been designed to help everyday users work with the free text documents (i.e., clinical notes) in medical records that is now being adopted by other academic medical centers.

Finally, attendees will hear directly from researchers about how they have used these methods and tools to enhance their research by accessing and harnessing the power of unstructured data.

Speakers:
David A. Hanauer, MD, MS, FACMI, FAMIA
Director of MICHR Informatics Program
Associate Professor of Learning Health Sciences


BRINGING DATA TO THE PEOPLE: HOW A SECURE, SELF-SERVICE, FREE-TEXT SEARCH TOOL CAN EMPOWER CLINICAL RESEARCH TEAMS AND IMPROVE PRODUCTIVITY

VG Vinod Vydiswaran, PhD
Associate Professor of Learning Health Sciences
Associate Professor School of Information

PROMISE OF UNSTRUCTURED DATA

Discussants:
Christina Angeles, MD
Assistant Professor, Surgery (General Surgery)
Assistant Professor, Dermatology

Xu Shi, Ph.D.
CCMB Affiliate Faculty
Assistant Professor of Biostatistics, School of Public Health


Leslie Yuan, MPH
Chief Information Officer, Clinical and Translational Science
(CTSI) , University of California San Francisco

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Livestream / Virtual Mon, 27 Sep 2021 11:21:27 -0400 2021-10-19T12:00:00-04:00 2021-10-19T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual Collaboratory logo
LHS Collaboratory (December 7, 2021 12:30pm) https://events.umich.edu/event/88230 88230-21651558@events.umich.edu Event Begins: Tuesday, December 7, 2021 12:30pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Julia Adler-Milstein, PhD
Professor of Medicine and Director of the Center for Clinical Informatics and Improvement Research (CLIIR)
University of California San Francisco

Interoperability is considered a key capability of a high-performing healthcare system and has been a top policy priority for more than a decade. Implementing interoperability is, however, a complex undertaking – requiring stakeholder coordination that tackles incentives, governance, technology, standards, and more. In this talk, Dr. Adler-Milstein will describe current approaches to interoperability and where we stand with respect to current levels of national adoption. She will then discuss the implications for Learning Health System efforts at different levels of scale.

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Livestream / Virtual Wed, 13 Oct 2021 13:59:31 -0400 2021-12-07T12:30:00-05:00 2021-12-07T14:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual Collaboratory logo
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
Precision Health Jan. 2022 Webinar (January 27, 2022 1:30pm) https://events.umich.edu/event/90512 90512-21671208@events.umich.edu Event Begins: Thursday, January 27, 2022 1:30pm
Location: Off Campus Location
Organized By: Precision Health

Join us for a frank discussion about the law and ethics of health research that relies on artificial intelligence and machine learning, and the impact it can have on treatment and perpetuation of health disparities. We’ll discuss legal and ethical issues related to biased algorithms, liability, regulation, data ownership, and responsible use of health data.

Incorporating perspectives from a computational social scientist (Abigail Jacobs, Assistant Professor of Complex Systems and Information, LSA) and a legal scholar with expertise in the responsible use of big data (Nicholson Price, Professor of Law), this webinar will provoke thought and provide important information to help clinicians and data scientists continue their research while also working to improve care and reduce health disparities.

The event will be moderated by Vicki Ellingrod, PharmD, Associate Research Dean and Professor of Pharmacy.

This webinar is the fourth in the Precision Health educational series: "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care."

*Please use @umich.edu (NOT @med.umich.edu) email to register.*

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Workshop / Seminar Wed, 05 Jan 2022 15:28:21 -0500 2022-01-27T13:30:00-05:00 2022-01-27T14:30:00-05:00 Off Campus Location Precision Health Workshop / Seminar Ethical/legal considerations for precision health AI and ML
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
EMERSE Meeting Series (March 3, 2022 2:00pm) https://events.umich.edu/event/91855 91855-21683557@events.umich.edu Event Begins: Thursday, March 3, 2022 2:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Unstructured clinical data, such as clinical notes and reports, along with the computational infrastructure and tools, have seen an increasing demand from the research community in the last years, mostly fueled by recent advances in statistical and machine-learning approaches to data insight. We are meeting this demand with the Information Commons – a research data platform that hosts and provides direct access to de-identified data, advanced analytics tools, and computational environments for our research community. 

While we are realizing access to de-identified electronic health records, images, omics and biobank data, this session highlights the progress made to provide more than 110 million de-identified notes to the research community. We developed and operationalized a fully automatic de-identification algorithm and implemented EMERSE, a user-friendly tool for non-programmatic access and sophisticated textual searches on the de-identified clinical notes.   

As of December 2021 Our de-identification algorithm and our clinical notes are certified de-identified and are currently available for the UCSF researchers with IRD. The presentation covers the entire pipeline from data extraction to publication and data access focusing on the secured computational infrastructure. Furthermore, we discuss the rigorous evaluation techniques to ensure the quality of the deidentification process and the resulting data according to HIPAA and UCSF Security and Privacy protection requirements. Lastly, we showcase highlights from our research collaborations enabled by this new resource of machine-redacted, unstructured clinical notes linked with de-identified structured EHR data using EMERSE and their impact on the research community.

Speakers:
Eric Meeks
Chief Technology Officer, CTSI @University of California, San Francisco

Lakshmi Radhakrishnan
Data Scientist @University of California, San Francisco

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Lecture / Discussion Wed, 02 Feb 2022 09:28:30 -0500 2022-03-03T14:00:00-05:00 2022-03-03T15:00:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion EMERSE logo