A5020768158- Primary Care and Health Outcomes
- Public Health Policies and Education
- Healthcare Policy and Management
- COVID-19 epidemiological studies
- Health Policy Implementation Science
- Community Health and Development
- Clinical practice guidelines implementation
- Evaluation and Performance Assessment
- Public Administration and Political Analysis
- Technology Assessment and Management
- COVID-19 diagnosis using AI
- Machine Learning in Healthcare
- Health Sciences Research and Education
- Artificial Intelligence in Healthcare
- Mobile Health and mHealth Applications
- Data-Driven Disease Surveillance
- Nursing Roles and Practices
- Food Security and Health in Diverse Populations
- Vaccine Coverage and Hesitancy
- Misinformation and Its Impacts
- European and International Law Studies
Parkland Center For Clinical Innovation
2021-2024
Cincinnati Children's Hospital Medical Center
2022
University of Cincinnati Medical Center
2022
The COVID-19 pandemic revealed numerous barriers to effectively managing public health crises, including difficulties in using publicly available, community-level data create learning systems support of local decision responses. Early the pandemic, a group care partners began meeting learn from their collective experiences. We identified key tools and processes for system structures drive equitable making throughout different phases pandemic.
In recent times, machine learning (ML) and artificial intelligence (AI) based systems have evolved scaled across different industries such as finance, retail, insurance, energy utilities, etc. Among other things, they been used to predict patterns of customer behavior, generate pricing models, the return on investments. But successes in deploying models at scale those not translated into healthcare setting. There are multiple reasons why integrating ML has widely successful, but from a...
SummaryIn May 2017, the U.S. Centers for Medicare & Medicaid Services (CMS) launched Accountable Health Communities (AHC) Model, a 5-year initiative to address critical gap between clinical care and community services in current delivery system. The tested whether systematically identifying addressing health-related social needs (HRSNs) of beneficiaries through screening, referral, navigation would reduce utilization health expenditures. As one 32 original awardees, Parkland Center Clinical...
<h3>Background</h3> The COVID-19 pandemic has highlighted the critical and ongoing need for leaders across health care, public health, government to have real-time, hyper-local data. These data be relevant meaningful multiple sectors. Moreover, are most likely useful when they facilitate connections systems, enable situational awareness, drive equitable decision making. <h3>Objectives</h3> Help symposium participants utilize currently available provide system-level awareness (e.g.,...