A National Web Conference on Applying Advanced Analytics in Clinical Care

Event Details

  • Date: October 14, 2020
  • Time: 2:00pm to 3:30pm

Description:

AHRQ is hosting a Web conference on Wednesday, October 14, 2020 from 2:00 – 3:30 p.m. EST, to discuss how advanced analytics can be applied into clinical care. Specifically, the panel will feature findings from research projects that applied machine learning and natural language processing techniques to effectively analyze unstructured text information and process data from multiple sources for identification of patients who would benefit from treatments or interventions. CE/CME accreditation of this activity is pending; if approved, eligible providers can earn up to 1.5 CE/CME contact hours for participating in the live webinar.

Confirmed Speakers

Alexander Turchin

Alexander Turchin, MD, MS
Associate Professor of Medicine, Harvard Medical School; Associate Physician, Brigham and Women’s Hospital

Judith Dexheimer

Judith Dexheimer, PhD
Associate Professor, Division of Emergency Medicine, Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center

Michael Avidan

Michael S. Avidan, MBBCh FCASA
Chair, Department of Anesthesiology, Washington University School of Medicine

Moderator

Chun-Ju (Janey) Hsiao

Chun-Ju (Janey) Hsiao, PhD
Health Scientist Administrator, Division of Digital Healthcare Research, Center for Evidence and Practice Improvement

 

Learning Objectives:

At the conclusion of this web conference, participants should be able to:

  1. Review how machine learning algorithms in conjunction with natural language processing can be used to identify patients at high risk for death.
  2. Evaluate the benefits of using EHR-integrated machine learning algorithms to identify patients with epilepsy who could benefit from surgery.
  3. Describe how data mining and machine learning can help forecast adverse outcomes among surgical patients.
  4. Discuss different advanced data analytic techniques for improving the quality, safety, effectiveness, and efficiency of care.
  5. Identify how to best integrate advanced data analytics into clinical practice.

Targeted Audience:

Health care researchers, physicians, physician assistants, nurses, pharmacists, and other health care professionals, health IT researchers and vendors.

To Register:

  1. Go to this link.
  2. Click “Register.”
  3. On the registration form, enter your information, and then click “Submit.”

You will receive a confirmation email message with instructions on how to join the event. To ensure successful participation, please download the WebEx app and/or test your system prior to the live event.

For assistance: If you require special accommodations to participate in the web conference, please contact DigitalHealthcareResearch@ahrq.hhs.gov.

CE/CME accreditation of this activity is pending; if approved, eligible providers can earn up to 1.5 CE/CME contact hours for participating in the live webinar. Continuing education credits will be available for physicians, physician assistants, nurses, nurse practitioners, pharmacists/ pharmacy techs, and healthcare executives. Non-physician CMEs will also be available.

Physicians and Physician Assistants
This activity has been planned and implemented in accordance with the essential Areas and Policies of the Accreditation Council for Continuing Medical Education (ACCME). AffinityCE is accredited by the ACCME as a provider of continuing medical education for physicians. This activity will provide 1.5 hours of AMA PRA Category 1 CreditsTM.

Nurses
AffinityCE is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation. This activity will provide 1.5 hours of continuing nursing education.

Pharmacists
AffinityCE is accredited by the Accreditation Council for Pharmacy Education as a provider of continuing pharmacy education. This activity will provide 1.5 hours of continuing pharmacy education.

How to Obtain CME/CE Credit
Participants must attend the entire live web conference and complete the evaluation online to earn 1.5 contact credit hours and obtain a CE certificate. No partial credit will be awarded. A link to the online evaluation system will be provided after the web conference.

Commercial/Sponsor Disclosure
There is no involvement of commercial or sponsor support for this Web conference series.