Artificial Intelligence: Considerations for Public Health Practice
Are you wondering how to apply artificial intelligence (AI) to public health practice? Take some time to watch this recorded webinar to learn what AI is, as well as its current and potential future applications to public health practice. The course also includes a practical discussion of barriers and facilitators for effectively incorporating AI into public health organizations’ population health activities.
**Instructions to access the course will be provided
after you register.**
Learning Objectives
At the conclusion of this recorded webinar,
participants will be able to:
- define artificial intelligence (AI) and its core capabilities;
- describe how AI supports public health agencies in fulfilling at least two of the 10 Essential Public Health Services;
- describe at least one barrier to AI adoption by public health agencies; and
- describe strategies and implementation steps for AI use by public health agencies.
Target Audience
This presentation is useful for practitioners, teams, and
organizations who are interested in improving their performance, efficiency,
and effectiveness.
Instructor
Daniel Barnett, MD, MPH is an Associate
Professor in the Department of Environmental Health & Engineering at the
Johns Hopkins Bloomberg School of Public Health, where he has a joint
appointment in the Department of Health Policy and Management. Barnett's
long-standing practice-based and research experiences in public health have
included a strong applied emphasis on quality improvement for public health
agencies and their stakeholders in the face of evolving challenges to
population health.
Level
This course is
appropriate for those with no or basic levels of experience with artificial
intelligence.
Length: 1 hour
Continuing Education
Credits
Continuing education credits are not offered for this
course.
Technology Requirements
This course is presented through the Vimeo Internet-based platform. A
computer with high-speed internet connection and the ability to download and
run this platform is required.
For more information about this course or for assistance
with registration, contact marphtc@pitt.edu.
Creation Date: This training was created in February 2026.
Harnessing the Power of Data
This nine-part series introduces diverse types and sources of data as well as ways to interpret and present data for maximum effectiveness. This course explores data and statistics used to make decisions, and answers to questions such as, How are these data collected? What do these numbers mean for my community’s health? and How can I best share these data with my stakeholders?
Part 1: Data Sources
Part 2: Types of Data
Part 3: Descriptive Statistics
Part 4: Inferential Statistics
Part 5: Epidemiologic Concepts
Part 6: Interpreting Data
Part 7: Presenting Data
Part 8: What Software to Use
Part 9: Conclusions
**Instructions to access the course will be
provided after you register.**
Instructor
Jeanine Buchanich, PhD, MEd, is a Research Associate Professor of Biostatistics at
the University of Pittsburgh School of Public Health and serves as the
Deputy Director for the Center for Occupational Biostatistics and Epidemiology.
Her work includes improving the communication of statistical and scientific
information to the general public and to stakeholders.
Target Audience
This
course is appropriate for public health and clinical practitioners seeking an
introduction to data analytics.
Technology Requirements
This course is presented through the Vimeo Internet-based platform. A
computer with high-speed internet connection and the ability to download and
run this platform is required.
Creation
Date: This training was originally presented in March to April
2019.
For more information about this course or assistance with
registration, contact marphtc@pitt.edu.
Heat Vulnerability Index
This case study, which illustrates how public health
informatics can make a real world impact, follows the development of a public
health informatics tool from the identification of the problem to the creation
of an online app. It focuses on the purposes of a Heat Vulnerability Index and
explores how it can be used to assist our communities.
Learning Objective
At the conclusion of this case study,
participants will be able to:
- describe one way in which public health informatics can make a real-world impact.
**Instructions
to access the resource will be provided after you register.**
Target
Audience
This
animation is appropriate for all public health professionals.
Informatics in Action: California’s Vaccination Policy
This self-guided animation illustrates how public health informatics can
make a real-world impact by exploring how a computational model created by
scientists at the University of Pittsburgh influenced the enactment of
California’s current vaccination policy. The model, A Framework for
Reconstructing Epidemic Dynamics (FRED), simulates the spread of an
epidemic in two populations: one with herd immunity as a result of high levels
of vaccination and one without herd immunity as a result of low levels of
vaccination.
**Instructions
to access the course will be provided after you register.**
Learning
Objectives
At the
conclusion of this animation, participants will be able to:
- describe one way in which public health informatics can make a real-world impact; and
- define herd immunity.
Target
Audience
This
presentation is appropriate for all public health practitioners.
Level
This course is appropriate for those with no or basic
levels of experience with informatics.
Length:
15
minutes
Technology
Requirements
A computer
with high-speed internet connection is required to view this course.
For
more information about this course or for assistance with registration, contact
marphtc@pitt.edu.
Creation Date: This
course was created in April 2022.
Learning the Language: A Searchable Resource
This self-guided searchable resource is intended to improve your
knowledge and understanding of Informatics terminology. The glossary and index are
each divided into three levels: basic, intermediate, and advanced. You can
access the resource alphabetically, categorically, or by specific terms. We
define each term and provide examples when appropriate. The glossary provides additional resources so you can pursue further
study of each topic.
**Instructions
to access the resource will be provided after you
register.**
For more information, contact marphtc@pitt.edu.