Lisa Platt’s 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
Areas of Expertise (5)
Systems Design for Public Health
Prevention Through Design
Human Factors Safety
Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on TwitterComputers in Human Behavior
Yan Wang, Haiyan Hao, Lisa Sundahl Platt
2021 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. Sufficiency, congruence and consistency in health risk communication have important implications for effective health safety instruction as well as critical content interpretability and recall. It also impacts individual- and community-level responses to information. This research employs text mining techniques and dynamic network analysis to investigate the actors’ risk and crisis communication on Twitter regarding message types, communication sufficiency, timeliness, congruence, consistency and coordination. We studied 13,598 pandemic-relevant tweets posted over January to April from 67 federal and state-level agencies and stakeholders in the U.S. The study annotates 16 categories of message types, analyzes their appearances and evolutions. The research then identifies inconsistencies and incongruencies on four critical topics and examines spatial disparities, timeliness, and sufficiency across actors and message types in communicating COVID-19. The network analysis also reveals increased communication coordination over time. The findings provide unprecedented insight of Twitter COVID-19 information dissemination which may help to inform public health agencies and governmental stakeholders future risk and crisis communication strategies related to global hazards in digital environments.
Using a Fuzzy Framework for applying King’s Theory of Goal Attainment to Improve Hospital Acquired Infection ResilienceProceedings of the International Symposium on Human Factors and Ergonomics in Health Care
Lisa Sundahl Platt, Ann Fronczek
2020 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. The purpose of this model is to estimate the performance of environment of care safety based on the ability of nurses to moderate risk and respond adaptively to certain types of hospital-onset infections through strategic workflow design. The aim of this proposed approach would be to help nurses and infection control specialists in healthcare settings better understand what accessible Systems Science-based frameworks may be instrumental for analyzing and forecasting infection control systems improvement. The benefit of using Fuzzy Frameworks in nursing workflow and environment of care planning is that it allows for the leveraging of crystalized intelligence nursing staff have about their patient demography and unit-based workflow. This process allows nurse work designers to introduce and test targeted process or physical improvement strategies that make sense for their unique circumstances while providing better insight into how these interventions may work holistically with all relevant environment of care operations. This approach is made more powerful when guided by trusted optimal nursing theoretical perspectives such as King’s Theory of Goal Attainment.
Chapter 9 - Design for ResilienceDesign for Health
Lisa Sundahl Platt
2020 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. Based on the epistemologies of psychology and engineering, resilience offers a vehicle for unifying the technical performance measures of optimal user-experience with the design-dependent parameters of high-reliability performance. An adaptive capacity taxonomy, applied-use case studies, and select systems engineering tools that can facilitate bidirectional visual traceability of systems design will be presented. The purpose of this chapter is to demonstrate how principles of resilience can be used in the analysis, conceptual development, and formation of various types of human-centered health systems.
Validating Persuasive Experience (PX) Theory: Preliminary Results of a Case Study on a Corporate Wellness Program’s Web-based Learning InterfacesProceedings of the International Symposium on Human Factors and Ergonomics in Health Care
Lisa Sundahl Platt, Huiyang Li, Catherine E Bass, Kaixiang Yu
2018 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. The results of this study may assist in better predicting behavior change and sustainable adherence to increased physical activity routines that could reduce risk of behavior sensitive conditions such as cardiovascular disease and its sequelae in U.S. workplaces. The findings of this case study also offer further validation of PX Theory and insight into its potential to aid in developing and implementing more effective persuasive technologies. The hope is that PX might contribute to technological systems design that can measurably and meaningfully assist employees in changing to healthier behaviors to improve their individual health outcomes. The results of this case study also suggest the potential PX driven design for wellness oriented WBL systems may have in improving overall organizational wellbeing and outcomes related to unplanned health insurance expenditures.
Evaluating Persuasiveness of Corporate Wellness Web-based learning interfacesProceedings of the Technology, Mind, and Society
Lisa Sundahl Platt, Huiyang Li, Catherine E Bass
2018 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. The objective of this study is to gain a clearer understanding of how wellness-oriented Web-based learning platforms may interact with individual states of mind and behavior to motivate sustainable adherence to increased physical activity routines that may improve disease emergence outcomes.