hero image
Lisa Platt - University of Florida. Gainesville, FL, US

Lisa Platt Lisa Platt

Assistant Professor | University of Florida

Gainesville, FL, UNITED STATES

Lisa Platt’s research focuses on using artificial intelligence and dynamic modeling to evaluate designs that reduce risks to human health.


Lisa Platt is an assistant professor in the College of Design, Construction and Planning. Her research focuses on using artificial intelligence and dynamic modeling to evaluate scenarios for preventative designs that reduce risks to human health. This research includes how phenomena such as climate change, which is having a demonstrated effect on infectious conditions and disease epidemiology, impact community health infrastructure and health system resilience.

Industry Expertise (5)

Renewables and Environmental

Health Care - Services

Computer Software

Social Media


Areas of Expertise (5)

Systems Design for Public Health

Prevention Through Design

Human Factors Safety

Climate Change

Interior Design


Articles (5)

Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on Twitter

Computers in Human Behavior

Yan Wang, et al.


During COVID-19, social media has played an important role for public health agencies and government stakeholders (i.e. actors) to disseminate information regarding situations, risks, and personal protective action inhibiting disease spread. However, there have been notable insufficient, incongruent, and inconsistent communications regarding the pandemic and its risks, which was especially salient at the early stages of the outbreak.

view more

Using a Fuzzy Framework for applying King’s Theory of Goal Attainment to Improve Hospital Acquired Infection Resilience

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care

Lisa Sundahl Platt and Ann Fronczek


This article explores techniques for estimating Hospital Acquired Infection prevention potential through strategic nursing care delivery design and applied fuzzy frameworks. To achieve this, it evaluates the use of Fuzzy Logic directed by King’s Theory of Nursing Goal Attainment for developing a HAI resilience process model.

view more

Chapter 9 - Design for Resilience

Design for Health

Lisa Sundahl Platt


The concepts of “high-reliability organizations” and “patient experience” have become relatively common in health-care operations parlance. However, to date, there have been few scientifically based systematized methods for operationalizing these constructs in the design of systems used in the delivery of human health care. This chapter explores the construct of “resilience” and how it may be used for the identification of outcomes and controllability of systems in health-care environments.

view more

Validating Persuasive Experience (PX) Theory: Preliminary Results of a Case Study on a Corporate Wellness Program’s Web-based Learning Interfaces

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care

Lisa Sundahl Platt, et al.


The objective of this study is to gain a clearer understanding of the role Persuasive Experience (PX) may play in wellness-oriented Web Based Learning (WBL) platforms in forming abilities to incite healthier lifestyle (or promoting health behavior) in technology-based systems use. Specifically, individual users’ interactions with a particular corporate wellness WBL platform was examined in relation to their State of Mind and Behavior.

view more

Evaluating Persuasiveness of Corporate Wellness Web-based learning interfaces

Proceedings of the Technology, Mind, and Society

Lisa Sundahl Platt, et al.


There is a clear imperative to discover ways to deliver usable, clear, and persuasive information that will facilitate personal motivation to adopt self-management behaviors, such as increased physical activity that may stem the rise of behavior sensitive conditions, such as Hypertensive cardiovascular disease.

view more





loading image loading image loading image



Languages (1)

  • English