The Harvard Clinical Informatics Lecture Series (HCILS) provides a forum for clinicians and researchers at HMS and beyond to learn the field of clinical informatics. The series addresses core topics in clinical informatics as outlined by the Accreditation Council for Graduate Medical Education as well as cutting edge research being done nationally.

This series is designed to change the way clinicians approach clinical informatics problems and provide them with tools to create more successful intervention.

The seminar intends to provide attendees with the tools to:

  • Apply Clinical Informatics principles to solve clinical and operational challenges
  • Understand proven informatics tools and techniques
  • Critically review informatics evidence

Sessions are held virtually (via Zoom) on Tuesdays 12–1pm. Check the DBMI Calendar for upcoming sessions and descriptions.

                                               **Please register in advance at the link provided below**
                                                                    Zoom Webinar Registration Link 
                                        After registering, you will receive a confirmation email containing
                                                                 information about joining the meeting.​                                                                   

*Please be aware that starting on 11/3/2020 we will be using the Zoom Webinar feature to conduct all CI Lecture's* 

If you have already registered for the Harvard CI Lecture Series, you do NOT need to register again, as the call-in link you received in your confirmation email is the same. This link is the same for every lecture so if you haven’t already, we recommend creating a recurring calendar item with the link for you to access each week.

If you have not registered for the Harvard CI Lecture Series before, please use this LINK. Once registered you will receive an email with a personalized link and calendar invite. Please use this calendar invite (or create your own with the link provided)

To receive weekly notifications of meetings and subsequent CME surveys, please join the HCILS Mailing List.

To obtain CME credit, attendees are asked to complete the weekly survey. For more information about the series, please contact us.

Fall 2022
Date Topic Speaker
12/6/22 Measuring and Reducing Wrong-Patient Errors Hojjat Salmasian, MD, PhD
Chief Data and Analytics Officer, Children’s Hospital of Philadelphia
Assistant Professor of Medicine, Harvard Medical School
12/13/22

Supporting Medical Extended Reality at MGB: the NextUp Approach

and 

Virtually Better: The Science and Practice of Medical Extended Reality

 

 

 

Mark Zhang, DO, MMSc
Associate CMIO of Digital Innovation, Brigham and Women’s Hospital
Medical Director of Digital Innovation Hub, Brigham and Women’s Hospital 
Brennan Spiegel, MD, MSHS
Professor of Medicine and Public Health
Director of Health Services Research, Cedars-Sinai
Director, Master’s Degree Program in Health Delivery Science
12/20/22   Lipika Samal, MD
Assistant Professor of Medicine
Brigham and Women's Hospital
12/27/22 NO LECTURE X

 

Fall 2022
Date Topic Speaker
9/27/22 Machine Learning Model Evaluation and Deployment in Epic

Sayon Dutta, MD, MPH
Physician Lead for Emergency Medicine and Clinical Decision Support at Partners eCare
Associate Physician, MGH Department of Emergency Medicine
Assistant Professor of Emergency Medicine, Harvard Medical School
10/4/22 Machine Learning for Operational Decision-making. A Story of COVID Forecasting Steven Horng, MD, MMSc
Clinical Lead for Machine Learning, Center for Healthcare Delivery Science
Program Director at Clinical Informatics Fellowship, BIDMC
Research Affiliate, MIT
Emma Lee
Quality Research Analyst, Center for Healthcare Delivery Science, BIDMC
10/11/22 Informatics Career in Industry  Elisabeth Scheufele, MD, MS, FAAP, FAMIA
Physician Informaticist | Medical Information Office
General Pediatrician | Children’s Hospital Primary Care Center
Boston Children’s Hospital, Boston, MA
Instructor | Harvard Medical School, Boston, MA
10/18/22 Large Language Models for Clinical Information Extraction Monica Agrawal
PhD Student, MIT CSAIL
10/25/22 Using EHR Audit Log Data to Understand Patterns and Quality of Ambulatory Care Lisa Rotenstein, MD, MBA
Medical Director, Population Health, Primary Care Center of Excellence, Brigham and Women’s Hospital
Associate Physician, Division of General Internal Medicine, BWH
Assistant Professor of Medicine, Harvard Medical School
11/1/22 RadTex: Learning Efficient Radiograph Representations from Text Reports Keegan Quigley
Associate Staff, MIT Lincoln Laboratory
Miriam Cha, PhD
Technical Staff, MIT Lincoln Laboratory 
11/15/22 Embedding Data-Driven Equity into Action for Patient Safety, Quality, and Experience Esteban Gershanik, MD, MMSc
Medical Director of Quality, Safety and Equity, Brigham and Women's Hospital
Associate Physician, Division of General Internal Medicine, BWH
Instructor of Medicine, Part-Time Harvard Medical School
11/29/22 Predictive Modeling in the Age of Machine Learning: Seeing Trees behind the Forest Alexander Turchin, MD, MS
Director of Quality in Diabetes, Division of Endocrinology, Brigham and Women’s Hospital
Director of Informatics Research, Division of Endocrinology, Brigham and Women’s Hospital
Associate Professor of Medicine, Harvard Medical School