Step by Step






Credit Hours: CME 0.50

Target Audience:

This activity is intended for pediatricians, pulmonologists, infectious disease specialists, nurse practitioners, and nurses.

Educational Objectives:

At the conclusion of this activity, participants will be able to:

  • Describe and learn about machine learning.
  • Recognize how machine learning is being used in research in Pediatrics.
  • Explain the limits of the current machine learning and how someone can start doing the research.


There is no educational content to this course. This course is designed to supplement training that has already occurred. This course is designed to only administer the post-test and collect CME evaluations. 

Suggested Additional Reading:

  1. Blease C, Kaptchuk TJ, Bernstein MH, Mandl KD, Halamka JD, DesRoches CM. Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners' Views. J Med Internet Res. 2019;21(3):e12802. Published 2019 Mar 20. doi:10.2196/12802.
  2. Shilpa J. Patel, Daniel Chamberlain, James M. Chamberlain. A Machine-Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage. Pediatrics. May 2018, 142 (1 MeetingAbstract) 116; DOI: 10.1542/peds.142.1_MeetingAbstract.116
  3. Paul L. Hebert, Jodie G. Katon. Repurposing of Administrative Data for Research: Still Useful but for How Much Longer? Pediatrics Feb 2019, 143 (2) e20183293; DOI: 10.1542/peds.2018-3293.
  4. Tawfik DS, Gould JB, Profit J. Perinatal risk factors and outcome coding in clinical and administrative databases. Pediatrics. 2019;143(2):e20181487.

Matthew Hall, PhD. — Principal Biostatistician at Children’s Hospital Association, and Adjunct Assistant Professor in the Division of Hospital Medicine at Children’s Mercy Hospital.
No relationships with industry relevant to the content of this educational activity have been disclosed.
Tony R. Tarchichi MD — Assistant Professor, Department of Pediatrics, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center (UPMC.) Paul C . Gaffney Diagnostic Referral Group
No relationships with industry relevant to the content of this educational activity have been disclosed.
No other members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships with any companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.

This activity is approved for AMA PRA Category 1 Credit™

The University of Pittsburgh is an affirmative action, equal opportunity institution.