Event Archive

The University of Michigan’s Department of Learning Health Sciences partners with the Institute for Healthcare Policy & Innovation and the Office of Research to convene the LHS Collaboratory: a hub for advancing interdisciplinary research and development of learning health systems at the University of Michigan. 

Below are the archives of all the LHS Collaboratory's previous events ranging from 2016 to the current academic year. 

2022 - 2023 Collaboratory Archive

Thursday, January 19, 2023

Osagie K. Obasogie, JD, PhD

Kayte Spector-Bagdady, JD, MBioethics

Interim Co-Director, Center for Bioethics & Social Sciences in Medicine Assistant Professor, Obstetrics & Gynecology
University of Michigan Medical School

In contrast to the laborious and expensive process of generating genetic datasets de novo, academic genetic researchers are increasingly using large and inexpensive “secondary” research datasets held by government, consortia, and industry for their work. Choosing between different kinds of data providers is about more than just convenience, however, it can also have important implications for the kind of science advanced and to which communities it will generalize. This talk will explore the factors driving researchers to select certain datasets for their work as well as their experiences sharing to, as well as using, shared data resources. As researchers wait for the new National Institutes of Health’s “Policy for Data Management and Sharing” to go into effect in January 2023, this talk will explore who ultimately carries the burden of increasing data sharing requirements

 Tuesday, November 8, 2022

Health Equity Reviews for AI in Health and Medicine

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's presentation slides

 Thursday, October 20, 2022

Explainability - AI and Ethics

Alex John London, PhD

Clara L. West 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

John and Melinda Thompson Director of AI in Medicine (Integration lead), Bioethicist
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.’

The session is moderated by Karandeep Singh, MD, MMSc, Assistant Professor of Learning Health Sciences, Assistant Professor of Internal Medicine, University of Michigan.

Dr. Melissa McCradden's presentation slides

 LHS Collaboratory Kickoff Poster  Session    

"A Celebration of Learning Health Systems at the University of Michigan"

Complete list of poster titles, authors, and affiliations 

  1. LHS Collaboratory:  Working Together to Implement Learning Health Systems at the University of Michigan
  2. The Learning Health Systems Collaboratory:  Emphasis on the Ethical, Legal, and Social Implications of Learning Health Systems (ELSI-LHS)
  3. A Panorama of LHS efforts @ UofM Health & Beyond (IHPI students)
  4. UM OVPR BOLD Challenge: 3D Mobile Technology to increase diversity, inclusion, and accuracy in pain management of complex patients -  School of Dentistry
  5. Building the Field of Improvement Research in Education: The UM School of Education as Catalyst and Hub
  6. Concussion Learning Health System (C-LHS): Lessons Learned and a Path Forward  
  7. Single and Multi-Institutional Experience in Radiation Oncology Constructing a Learning Health System (LHS) from Real World Data
  8. Applying the LHS Framework in Real Life: Building a Learning Health System for Medical Rehabilitation
  9. HeartSafe Home: Learning Community Initiative to Reduce Out-of-Hospital Cardiac Arrest Mortality
  10. The Heinz C. Prechter Bipolar Research Program: A Snapshot of Longitudinal Data
  11. Precision Health at the University of Michigan
  12. Leveraging Library Expertise to Make Computable Biomedical Knowledge FAIR
  13. Precision Feedback: A Scalable Service to Improve the Quality of Anesthesia Care
  14. Enhancing Researcher Value: Connecting MICHR’s Network-Based Research Unit (NBRU)
  15. Behind the Scenes at the NBRU: An Inside Look at the Informatics and IT Enabling MICHR’s Network-Based Research Unit
  16. Clinical Intelligence Committee at Michigan Medicine-Governing Machine Learning to Support Michigan Medicine Priorities
  17. MSQC Leads Hospitals to Save $3 Million in Colectomy Post-Discharge Spending
  18. The Michigan Cardiac Rehabilitation Network (MiCRN): A Statewide Collaboration to Improve Cardiac Rehabilitation Participation  (MCV CQI)
  19. An Overview of the Michigan Urological Surgery Improvement Collaborative (MUSIC)
  20. Using Registry Data to Drive Quality Improvement: The BMC2 Experience
  21. MOQC Michigan Oncology Quality Consortium
  22. MCT2D  “The Michigan Collaborative for Type 2 Diabetes”
  23. Leveraging Cross-Sector Partnerships to Address Social Determinants of Health
  24. e-HAIL: Making the University of Michigan a Premier Hub for e-Health and AI
  25. Michigan Radiation Oncology Quality Consortium (MROQC)
  26. Mobilizing Computable Biomedical Knowledge: A Growing Community to Transform Health
  27. Journal of Learning Health Systems: A Novel Journal for a Transdisciplinary Science

Tuesday, June 21, 2022

Restructuring Health Systems for Learning: Building Equity into the Learning Health System

Lauren A. Taylor, PhD, MDiv, MPH

Jodyn E. Platt, PhD, MPH

Dr. Lauren Taylor's presentation slides


Tuesday, June 14, 2022

LHS Collaboratory Workshop: Operationalizing Learning Communities

View all workshop presentation slides 

This virtual workshop will review the concepts behind Learning Communities, which are foundational to Learning Health Systems. We will explore the phases of all learning communities, regardless of size or problem of interest: planning, initiating, implementing, and sustaining. Participants will engage in a collaborative activity to develop a learning community. Please join us either individually or as part of a team.


Tuesday, May 14, 2022

LHS Collaboratory Workshop: Learning Health Systems 101

Charles P. Friedman, PhD 

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. 

Dr. Friedman's presentation slides

Tuesday, April 19, 2022

Medical AI and Learning Health Systems

This recording contains Dr. Xiao Liu’s talk as well as the moderated discussion with Drs. Liu and Karthikesalingam.

Medical AI - Three Common Myths on the Path from Code to Clinic

Alan Karthikesalingam, MD, PhD    

In this talk, Alan Karthikesalingam will discuss lessons learned in Google's experiences of taking medical AI systems from early research to clinical implementation.  

Medical AI - Raising the Bar on Evidence Standards

Xiao Liu, MBChB, PhD

In this talk, Xiao Liu will discuss existing and new clinical evidence standards as applied to medical AI systems. Her talk will focus on recently published standards to ensure transparency and reproducibility of clinical evidence underpinning medical AI systems, including reporting guidelines such as SPIRIT-AI and CONSORT-AI.

Dr. Xiao Liu's presentation slides

Dr. Karthikesalingam's presentation slides are not public due to proprietary considerations.

Tuesday, March 22, 2022

Network-Based Research

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.


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.

Dr. Kathleen McTigue's presentation slides

Dr. David Williams' presentation slides


Thursday, February 24, 2022

The Invisible Infrastructures and Infrastructuring Enabling Federated Data and Research Networks

Jeffrey Brown, PhD

Marcelline Harris, PhD, RN, FACMI

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.

Dr. Jeffrey Brown's presentation slides

Dr. Marcelline Harris' presentation slides

 Tuesday, January 18, 2022

Single and Multi-Institutional Experience in Radiation Oncology Constructing a Learning Health System for Machine Learning from Real World Data

Charles Mayo, PhD 
Michelle Mierzwa, MD

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.

Charles Mayo's and Michelle Mierzwa's presentation slides

 Tuesday, December 7, 2021

The Current State of US Interoperability and Implications for Learning Health Systems

Julia Adler-Milstein, PhD

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.

Julia Adler-Milstein's presentation slides 

 Thursday, November 11, 2021 

Special Fall Workshop: Operationalizing Learning Communities

Department Chair of Learning Health Sciences
Josiah Macy Jr. Professor of Medical Education
Professor of Information
Professor of Public Health
Assistant Professor of Learning Health Sciences
Director of the Medical Education Scholars Program
Workshop Presenters
Program Manager
Department of Learning Health Sciences
University of Michigan
Clinical Health Project Manager
Department of Learning Health Sciences
University of Michigan
Project Manager
Department of Learning Health Sciences
University of Michigan

Tuesday, October 19, 2021

Making Sense of Unstructured Data

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.


Bringing data to the people: How a secure, self-service, free text search tool can empower clinical research teams and improve productivity

David A. Hanauer, MD, MS, FACMI, FAMIA

Director of MICHR Informatics Program

Associate Professor of Learning Health Sciences 

Associate Professor of Informatics U-M School of Information

Clinical Associate Professor of Pediatrics

David Hanauer's presentation slides


Promise of Unstructured Data

VG Vinod Vydiswaran, PhD

Associate Professor of Learning Health Sciences 

Associate Professor School of Information

 V.G.Vinod Vydiswaran's presentation slides


Using EMERSE to Improve Research Involving Rare Cancers

Christina Angeles, MD

Surgical Oncology

Director, Sarcoma Research Working Group

Christina Angeles' presentation slides


Making Sense of Unstructured Data

Xu Shi, PhD

CCMB Affiliate Faculty

Department of Biostatistics

University of Michigan


EMERSE at UCSF Unlocking our De-Identified Unstructured Data!

Leslie Yuan, MPH

Chief Information Officer, Clinical and Translational Science Institute (CTSI)

University of California San Francisco

Leslie Yuan's presentation slides

Thursday, September 30, 2021

LHS Collaboratory Kick-0ff


Janet and Bernard Becker Professor and founding Director of the Institute for Informatics (I2), Associate Dean for Health Information and Data Science, Chief Data Scientist, Washington University in St. Louis

The Learning Health (Record) System

Much has been written about the challenges associated with the use of current EHRs, however the promise of these technology platforms remans vast and mostly under-realized.  This presentation will explore the ways in which 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 systemic clinical phenotypes, to the delivery of emergent knowledge to both providers and patients via advanced clinical support systems.

Research Assistant Professor, Department of Biomedical Informatics, Scientific Director for PheWAS Core, Vanderbilt University

Techniques and Challenges for EHR Phenotyping

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.

Professor Payne's presentation slides

Lisa Bastarache's presentation slides


2020 - 2021 Collaboratory Archive

Thursday, June 24, 2021

LHS Collaboratory Summer Workshop: Learning Health Systems 101

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 event is limited. Please consider registering early.

Charles P. Friedman, PhD

Department Chair of Learning Health Sciences
Josiah Macy Jr. Professor of Medical Education

Professor Friedman's presentation slides  

The Swiss Learning Health System (SLHS): A National Initiative to Support Evidence Uptake in Policy and Practice

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.

Promoting and supporting the 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 ten 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.

Stefan Boes, PhD, MSc 

Vice Principal-Department of Health Sciences and Medicine

Professor of Health Economics

Research Manager and Coordinator
Swiss Learning Health System (SLHS), University of Lucerne

Tuesday, February 23, 2021

Digital Transformation in Healthcare for a Diverse World

Keynote speaker:

Bernardo Mariano, Jr.

Director of Digital Health & Innovation, Chief Information Officer (CIO), World Health Organization (WHO)

Topic: WHO's Global Strategy on Digital Health as an Enabler to Achieving SDG 3

Mr. Mariano's presentation slides


Laurie McCauley, DDS, MS, PhD

Dean, William K and Mary Anne Najjar Professor of Periodontics, University of Michigan School of Dentistry

 Breakout Session #1 LHS and Pain

Alex F. DaSilva, DDS, DMedSc 

Associate Professor
Department of Biologic & Materials Sciences 
Director, Learning Health Systems
University of Michigan School of Dentistry

Topic: Integrating Diverse Health Ecosystems for Optimal Pain Treatment, Education, and Research

Dr. DaSilva's presentation slides

Ivo Dinov, Ph.D.

Computational Medicine and Bioinformatics, Medical School
Associate Director for Education and Training, Michigan Institute for Data Science (MIDAS)
Vice Chair
Department of Health Behavior and Biological Sciences
University of Michigan

Perspective: Data De‐Identification and Clinical Decision Support

Dr. Dinov's presentation slides 

 Breakout Session #2 LHS and Caries Risk

Margherita Fontana, DDS, PhD

Clifford Nelson Endowed Professor and Professor of Dentistry
University of Michigan School of Dentistry

Topic: Caries Risk Prediction Models

Dr. Fontana's presentation slides

Alonso Carrasco-Labra, DDS, MSc, PhD

Senior Director, Department of Evidence Synthesis and Translation Research
American Dental Association,
Science and Research Institute, LLC
Adjunct Assistant Professor
Department of Oral and Craniofacial Health Science, School of Dentistry,
University of North Carolina
at Chapel Hill                                 

Perspective: LHS and Evidence-based Clinical Practice

Dr. Alonso Carrasco-Labra's presentation slides

 Breakout Session #3 LHS and Opioids

Romesh Nalliah, BDS, MHCM

Associate Dean for Patient Services and Clinical Professor of Dentistry
University of Michigan School of Dentistry

Topic: Iteratively Learning about Dental Opioid Prescribing

Dr. Nalliah's presentation slides

Chad Brummett, MD

Bert N. LaDu Professor of Anesthesiology
Senior Associate Chair, Research
Co-Director of the Michigan Opioid Prescribing Engagement Network (Michigan OPEN)
University of Michigan

Perspective: Precision Health in Opioid Management

Dr. Brummett's presentation slides

Thursday, January 21, 2021

Data Standards and Learning Health Systems–Challenges and Opportunities



Event Slides

Learning Health Systems thrive with use of real-world data from electronic health record (EHR) systems in both observational and interventional research to generate real-world evidence. Standardized EHR data can enable the aggregation of data and the generation of real-world evidence that will inform care delivery and improve patient outcomes. Data standards can also increase the speed in which promising evidence-based interventions are disseminated and adopted into new settings. However, despite their great potential, data standards have proven to be difficult and costly to implement, and nationally standardized EHR data continues to elude us.

Speaker: Rachel Richesson, PhD, MPH, MS, FACMI, Professor of Learning Health Sciences

Thursday, November 12, 2020
Reflections on Learning to Improve: Foundational Ideas, Observations from Practice, and Building a Field


Dr. Bryk’s talk describes a set of normative challenges that confront us, including ways to shift from pursuing the hot new idea as the silver bullet to continuously improving how core processes and systems in educational institutions work. It is a distinct form of inquiry that values basic research knowledge and rigorous evidence about new programs and interventions, but that also sees efforts aiming to solve problems of practice reliably and at scale as generating its own form of generalizable knowledge. It transforms the core improvement question from “What Works” into “What Works for Whom and under What Set of Context Conditions.”


Anthony S. Bryk, President of the Carnegie Foundation for the Advancement of Teaching


Donald J. Peurach, PhD, Professor, University of Michigan School of Education; Senior Fellow, Carnegie Foundation for the Advancement of Teaching


Elizabeth Birr Moje, PhD, Dean, George Herbert Mead Collegiate Professor of Education, and Arthur F. Thurnau Professor School of Education; Faculty Associate in the Institute for Social Research; Latino/a Studies; and the Joint Program in English & Education, University of Michigan

Caren M. Stalburg, MD, MA, Collaborative Lead for Education; Associate Professor of Learning Health Sciences


Tuesday, October 20, 2020
LHS as a Driver of Diversity, Equity, and Inclusion

The October 2020 LHS Collaboratory shared lessons from health advocates working on the frontlines to make healthcare and health more equitable. These thought leaders and do-ers illuminated the transformative power of LHSs - and the diverse and inclusive communities of interest that are collaborating to realize them.


Joshua C. Rubin, J.D., M.B.A., M.P.P., M.P.H., Program Officer, Learning Health System Initiatives


Luis Belén, Chief Executive Officer of the National Health IT Collaborative for the Underserved (NHIT Collaborative)

Danielle Brooks, J.D., Director of Health Equity, Amerihealth Caritas

Melissa S. Creary, Ph.D., M.P.H., Assistant Professor, Department of Health Management and Policy School of Public Health


Thursday, September 17, 2020: 
Seminar Series Fall Symposium Kick-Off - Academic Medical Centers as Learning Health Systems

The Collaboratory's fall symposium event showcased the LHS experiences of three research-intensive academic centers that have been promoting LHS methods.  Distinguished senior colleagues from Duke, Vanderbilt, and Washington University, described and discussed their institutions' work in this area.  They discussed strategies employed, investments made, challenges encountered, and successes achieved.


Carol R. Bradford, M.D., M.S., Leslie H. and Abigail S. Wexner Dean's Chair in Medicine, Ohio State University


Kevin B. Johnson, M.D., M.S., F.A.A.P., F.A.C.M.I., Cornelius Vanderbilt Professor & Chair, Department of Biomedical Informatics Professor; Department of Pediatrics Informatician-in-Chief, Vanderbilt University Medical Center

Christopher J. Lindsell, Ph.D., Professor of Biostatistics, Vanderbilt University; Co-director of the HEAlth Data Science, (HEADS) Center, Vanderbilt University

Philip R. O. Payne, Ph.D., F.A.C.M.I., F.A.M.I.A., Janet and Bernard Becker Professor and Director, Institute for Informatics (I2); Associate Dean for Health Information and Data Science, Chief Data Scientist, Washington University School of Medicine

Michael Pencina, Ph.D., Professor of Biostatistics and Bioinformatics, Duke University; Vice Dean for Data Science and Information Technology, Duke University

Eric G. Poon, M.D., M.P.H., Professor of Medicine, Chief Health Information Officer, Duke University

2019 - 2020 Collaboratory Archive

July 29, 2020: LHS/COVID-19 Webinar - International Collaboration to Realize a Global LHS for COVID-19: Lessons from Italy, Spain, and the United States

Charles P. Friedman, Chair, of the Department of Learning Health Sciences, Josiah Macy Jr. Professor of Medical Education at the University of Michigan Medical School, as well as Professor of Information and Public Health; Pablo Rivero, Senior Health and Public Sector Advisor for Everis / NTT Data, Member of the Digital Health Roster of Experts, World Health Organization
COVID-19 in Italian Nursing Homes: A Tragic Past and a Promising Future
Paolo Stocco, Executive Board Member, EuroHealthNet, a not-for- profit partnership of organizations, agencies and statutory bodies working on public health, disease prevention, promoting health, and reducing inequalities
A Globally Applicable Data-Driven Systems Approach to COVID-19
Francisco Ros, President, First-Tech Engineering, former Qualcomm Board Member, and former Secretary of State for Telecommunication and the Information Society in the government of Spain
Global Standards as an Essential Foundation for a Systems Approach
Rebecca Kush, Chief Scientific Officer for Elligo Health Research, President of Catalysis Research, Fellow for Japan’s TRI (Translational Research Center for Medical Innovation), Founder and President Emeritus of CDISC
The Comprehensive, Innovative Approach of Asturias, Spain
Borja Sanchez Garcia, Minister of Science, Innovation and University of the Asturias Principality government, Senior Researcher at the Dairy Research Institute, Scientific Founder of Microviable Therapeutics SL
Patient Perspectives and the Role of Telemedicine
Esther Gil Zorzo, President of Educatec Foundation, Diabetes Coordinator in HM Hospitals, Former President of the FEAED (National Federation for Diabetes Educators) and Member of the Executive Committee of the FEND (Federation European Nurses Diabetes)
Public Health Preparedness and Learning Health Systems
Joshua C. Rubin, Program Officer for Learning Health System Initiatives at the Department of Learning Health Sciences, University of Michigan Medical School
Prospects for the Future
Douglas Van Houweling, Professor Emeritus of Information, School of Information and Professor Emeritus in Service of Learning Health Sciences, University of Michigan Medical School

June 2, 2020: Learning Health Systems in the Time of COVID-19

Speakers: Charles P. Friedman, PhD, Karandeep Singh, MD, MMSc, Allen Flynn, PhD, PharmD, Anne Sales, PhD, RN, and  Jody Platt, MPH, PhD

March 24, 2020: Mobilizing Computable Biomedical Knowledge at Michigan Medicine

Speakers: Michael Lanham, MD, and Karandeep Singh, MD, MMSc

February 25, 2020: Value Proposition of Learning Health Systems

January 30, 2020: Applications of AI/Machine Learning in Gastroenterology

December 12, 2019: Holiday Luncheon

October 29, 2019: Meeting the Data Need of the Learning Health System

September 26, 2019: Fall 2019-2020 LHS Collaboratory Kick-Off: The year of LHS Implementation and Acceleration

2018 - 2019 Collaboratory Archive 

April 18, 2019: LHS Spring Symposium 

March 19, 2019: Peter Margolis, MD, PhD: Healthier Together:  Collaborative networks of patients, clinicians and researchers working together to transform care

February 12, 2019: Nancy Kass, ScD: Ethics for a Learning Health Care System: The "Common Purpose" Framework

January 15, 2019: Rachel Richesson and U-M Colleagues: Mobilizing Computable Biomedical Knowledge (MCBK)

December 18, 2018: LHS Connections and Synergies: Spotlight on Learning Communities and Learning Health Systems Panel Presentation

November 29, 2018: Marc Williams, MD, Patient-Centered Precision Health In A Learning Health System: Geisinger's Genomic Medicine Experience

October 23, 2018: Ron Stock, MD: Learning Innovations: Oregon’s Health Reform Policy to Practice

September 18, 2018: Fall Kickoff and Poster Session 

2017 - 2018 Collaboratory Archive  

May 23, 2018: Managing Value in Health Care through Continuous Learning

Speakers: David F. Massaro, MD, MHCDS, MBA, FACHE, Deputy Chief Medical Officer, Veterans Health Administration, Department of Veterans Affairs

April 24, 2018: Marianne Udow-Phillips, MHSA, Executive Director, Center for Healthcare Research & Transformation (CHRT) and Rajiv Saran, MBBS, MD, MRCP, MS, Director of USRDS Coordinating Center

March 20, 2018: Learning Medical Education Systems in 2043: Lessons from the Past 25 Years, 

Speakers: David H. Roberts, MD, Dean for External Education and Associate Professor of Medicine, Harvard Medical School

February 20, 2018: Worldwide Progress Toward a Learning Health System

Speakers: Charles Friedman, PhD, Chair of Department of Learning Health Sciences, Surveillance and Prevention of NCDs: Applying LHS Principles to Kidney Disease,

Rajiv Saran, MBBS, MD, MRCP, MS, Director of USRDS Coordinating Center, Developing a Community-Based Learning Health System,
Part 2, and

Michael Klinkman, MD, MS, Co-Director of Great Lakes Research Into Practice Network

January 16, 2018: Computable Biomedical Knowledge for a Learning Health System, 

Speakers: Harold P. Lehmann, MD, PhD, FACMI, Director of Research and Training, Division of Health Sciences Informatics, Johns Hopkins University School of Medicine and Stephen M. Downs, MD, MS, Director Children's Health Services Research, Indiana University 

December 15, 2017: Creating a Learning Health System: Translating Research into the Standard of Care

Speaker: William D. Smoyer, MD, Director of Center for Clinical and Translational Research, Nationwide Children's Hospital

November 7, 2017: Foundation Funding at Michigan: Trends and Resources for Learning Health System Initiatives

Speakers: Joesph M. Piffaretti, Senior Director, Corporate and Foundations Relations,U-M Medical School

October 5, 2017: CancerLinQ: A learning health information network for quality

Speaker: Allen Lichter, MD, FASCO, former Chief Executive Officer of the American Society of Clinical Oncology and former Dean of the U-M Medical School

September 8, 2017: Precision health and updates on funding for learning health system initiatives

Speaker: Sachin Kheterpal, MD, MBA, Associate Dean for Research Information Technology and Associate Professor of Anesthesiology, U-M Medical School

2016 - 2017 Collaboratory Archive 

May 26, 2017: The Knowledge Grid: Infrastructure to support Knowledge FAIRness for the LHS. Allen Flynn, PharmD

April 27, 2017: Seminar series presentation, Ethical, legal and social implications of learning health systems panel presentation with Andrew Shuman, MD, Kayte Spector-Bagdady, JD, MBioethics, and Nicholson Price, JD, PhD

March 14, 2017: Seminar series presentation, Julia Adler-Milstein, PhD

January 13, 2017: Seminar series presentation, Michael Dorsch, PharmD

November 29, 2016: Seminar series presentation, Darrell A. Campbell, Dr., MD and Greta Krapohl, PhD, RN

October 4, 2016: Kick-off meeting and luncheon