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Seminar Series

MIDAS COVID-19 Special Seminar Series: Karandeep Singh, Validating a Widely Implemented Deterioration Index Model Among Hospitalized COVID-19 Patients

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Karandeep Singh, Assistant Professor, Learning Health Sciences and Medicine, University of Michigan

Validating a Widely Implemented Deterioration Index Model Among Hospitalized COVID-19 Patients

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The coronavirus disease 2019 (COVID-19) pandemic is straining the capacity of hospitals and healthcare systems across the United States. This strain has led to an expansion of both advanced ICU capabilities within hospitals as well as the opening of lower-acuity hospital beds (e.g., field hospitals) with limited resources for more stable patients. For example, Michigan has one of the largest number of COVID-19 caseloads in the country and recently approved over 4,000 new hospital beds to provide care to COVID-19 patients. Accurately identifying subgroups of COVID-19 patients at high- and low-risk for adverse outcomes using automated risk-score systems could help to alleviate this strain. Recent work, however, has demonstrated a paucity of validated high-quality models in COVID-19 patients.

The Epic Deterioration Index (EDI) is a proprietary early-warning prediction model that assesses the probability of hospitalized patients requiring a rapid response, resuscitation, intensive care unit (ICU)-level care, or dying. Although there is no published research on the validity of the EDI, ubiquitous use of the Epic EHR across the U.S. has led to growing anecdotal reports of its value in critically ill patients. Implemented in over 100 hospitals across the U.S., advocates have further promoted its use among COVID-19 patients despite the absence of published data on its validity in this population. In this talk, we will present preliminary results from our evaluation of the Epic Deterioration Index at Michigan Medicine. Our findings have potential implications for how this widespread tool may be validated and used by other healthcare systems during the COVID-19 pandemic.

MIDAS COVID-19 Special Seminar Series: Jon Zelner, “If the outbreak ended, does that mean the interventions worked?”

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Jon Zelner, Assistant Professor, Epidemiology, University of Michigan

If the outbreak ended, does that mean the interventions worked?

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In this talk Dr. Zelner will discuss some ongoing modeling work focused on understanding when we can and cannot infer that interventions meant to stop or slow infectious disease transmission have actually worked, and when observed outcomes cannot be distinguished from selection bias.

Pushing Mobile Inventions Forward Seminar: Fjola Helgadottir, PhD – Director of AI Therapy

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Fjola Helgadottir, PhD

Director of AI Therapy

Vancouver CBT Centre

 

Translating Clinical Psychology Treatments into Algorithms: Successes and Challenges

Abstract: Computerized therapy has the potential to revolutionize how evidence based psychological interventions are delivered to those who need them. Many of the recent advances in AI, from computer vision to natural language processing, will doubtlessly be integral components of future treatment systems.

There is a wide range of approaches to computerized therapy. Many research projects aim to replicate the face-to-face therapy experience. This seems like a natural approach, given that this is a longstanding and proven model of therapy. For example, these systems make use of avatars and chatbots. However, this approach may be misguided. Computer-based approaches and human therapists are fundamentally different, and designing one to mimic the other may not be optimal. The goal should be to find the most effective methods of targeting the key mechanisms that are paramount to change in mental health.

In this talk Dr. Helgadottir will take a look at computerized therapy from the perspective of a practicing clinical psychologist. She will review some of the advantages that computers have over human therapists, as well as considering limitations of these systems. As a practical example, she will explain how her online “Overcome social anxiety” program works and discuss promising results from recent clinical trials.

Bio: Dr Fjola Dogg Helgadottir is a Director at AI-Therapy, a registered psychologist at the Vancouver CBT Centre and previously a Senior Research Clinician at Department of Psychiatry, University of Oxford in the UK. She is a Chartered clinical psychologist within the British Psychological Society, and a registered psychologist with the UK Health and Care Professions Council and with the British Columbia College of Psychologists. Fjola has completed four degrees in psychology (see more professional qualifications). AI-Therapy grew out of her doctoral research, which was focused on innovative computer-based treatments for anxiety disorders.

Fjola has written extensively about online therapy, both in peer reviewed academic journals and conferences. She is an expert writer for Psychology Today with her open access blog Man vs Machine and is featured frequently in the Icelandic media. See Fjola’s publications for more details.

Fjola has received several major awards for her internationally recognized research, including Australia’s prestigious Tracy Goodall Early Career Award for Research Achievement. In addition, she has trained to the highest level as a clinical psychologist in Australia, and ran a successful private practice in Sydney. She currently provides consulting services on the topic of online psychology and psychiatry for her company AICBT Ltd, which has clients in Sydney, Australia; Oxford and London, UK; and Denver and New York in the USA.

IOE 899 Seminar Series: Stanley Hamstra, PhD, Milestones Research & Evaluation Accreditation Council for Graduate Medical Education

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Stanley J. Hamstra, PhD

VP, Milestones Research and Evaluation Accreditation Council for Graduate Medical Education

 

“Learning Analytics in Graduate Medical Education: Realizing the Promise of CBME with Milestones Achievement Data”

Abstract: In 2012, the Accreditation Council for Graduate Medical Education (ACGME) introduced the Next Accreditation System (NAS) for improving postgraduate medical education. An important component of the NAS is a shift towards competency-based medical education (CBME), involving milestones as markers of achievement during training. Since 2015, the ACGME has been collecting milestones achievement data (competency ratings) on all resident and fellow physicians in accredited training programs in the USA (n > 110,000 residents and fellows per year). A critical assumption in CBME is that assessment data regarding any learner (in any form) contains some degree of uncertainty. At the same time, program directors must make finite/binary decisions about learners at the time of graduation, and indeed throughout training. The availability of milestones data, in the context of national trends, gives the program director an additional tool for making the best decisions regarding learner progression (and ultimately graduation). I will briefly review tools we have developed to help program directors make use of milestones data to enhance the quality of their decisions regarding resident progression and graduation. In addition, I will outline an approach to using the data for enhancing national curricula within a specialty.

Bio: Dr. Hamstra is responsible for oversight and leadership regarding research in Milestones and assessment systems that inform decisions around resident physician progression and board eligibility. Dr. Hamstra works with medical subspecialty societies, program director organizations, the American Board of Medical Specialties, and specialty certification boards. His research addresses medical education broadly, including competency assessment for residency training programs, and developing administrative support for educational scholarship within academic health settings. Prior to joining the ACGME, Dr. Hamstra was at the University of Michigan, the University of Ottawa, and the University of Toronto Department of Surgery. He has also worked closely with the Royal College of Physicians and Surgeons of Canada on developing policies regarding competency-based medical education for graduate medical education. Dr. Hamstra received his PhD in sensory neuroscience from York University in Toronto in 1994.

The National Academies Webinar Series: Data Science Undergraduate Education

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Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.