Digital Commons Network^™

Architectural Design Of A Blockchain-Enabled, Federated Learning Platform For Algorithmic Fairness In Predictive Health Care: Design Science Study, Xueping Liang, Juan Zhao, Yan Chen, Eranga Bandara, Sachin Shetty

VMASC Publications

Background: Developing effective and generalizable predictive models is critical for disease prediction and clinical decision-making, often requiring diverse samples to mitigate population bias and address algorithmic fairness. However, a major challenge is to retrieve learning models across multiple institutions without bringing in local biases and inequity, while preserving individual patients' privacy at each site.

Objective: This study aims to understand the issues of bias and fairness in the machine learning process used in the predictive health care domain. We proposed a software architecture that integrates federated learning and blockchain to improve fairness, while maintaining acceptable prediction accuracy and minimizing overhead …

The Shortfalls Of Vulnerability Indexes For Public Health Decision-Making In The Face Of Emergent Crises: The Case Of Covid-19 Vaccine Uptake In Virginia, Lydia Cleveland Sa, Erika Frydenlund

VMASC Publications

Equitable and effective vaccine uptake is a key issue in addressing COVID-19. To achieve this, we must comprehensively characterize the context-specific socio-behavioral and structural determinants of vaccine uptake. However, to quickly focus public health interventions, state agencies and planners often rely on already existing indexes of "vulnerability." Many such "vulnerability indexes" exist and become benchmarks for targeting interventions in wide ranging scenarios, but they vary considerably in the factors and themes that they cover. Some are even uncritical of the use of the word "vulnerable," which should take on different meanings in different contexts. The objective of this study is …

Health Service Utilization And Poor Health Reporting In Asthma Patients, Joshua G. Behr, Rafael Diaz, Muge Akpinar-Elci

VMASC Publications

The management and treatment of adult asthma has been associated with utilization of health services. Objectives: First, to investigate the likelihood of health service utilization, including primary care, emergency department, and hospital stays, among persons diagnosed with an asthma condition relative to those that do not have an asthma condition. Second, to examine the likelihood of poor physical health among asthma respondents relative to those that do not have an asthma condition. Third, to demonstrate that these relationships vary with frequency of utilization. Fourth, to discuss the magnitude of differences in frequent utilization between asthma and non-asthma respondents. Data …

Emergency Department Frequent Utilization For Non-Emergent Presentments: Results From A Regional Urban Trauma Center Study, Joshua G. Behr, Rafael Diaz

VMASC Publications

Objectives
First, to test a model of the drivers of frequent emergency department utilization conceptualized as falling within predisposing, enabling, and need dimensions. Second, to extend the model to include social networks and service quality as predictors of frequent utilization. Third, to illustrate the variation in thresholds that define frequent utilization in terms of the number of emergency department encounters by the predictors within the model.

Data Source
Primary data collection over an eight week period within a level-1 trauma urban hospital's emergency department.

Study Design
Representative randomized sample of 1,443 adult patients triaged ESI levels 4'5. Physicians …

Theoretically-Driven Infrastructure For Supporting Health Care Teams Training At A Military Treatment Facility, T. Robert Turner Jr., V. Andrea Parodi

VMASC Publications

Designated a Department of Defense Team Resource Center (TRC) in 2008, Naval Medical Center Portsmouth (NMCP) currently hosts three tri-service health care teams training courses annually. Each consists of didactic learning coupled with simulation-based training exercises to provide an interactive educational experience for health care professionals. Simulated cases are developed to reinforce specific teamwork skills and behaviors, and to incorporate a variety of technologies including standardized patients, manikins, and virtual reality. The course is also the foundation of a research program designed to explore applications of modeling and simulation for enhanced team training in health care. The TRC has adopted …