Dr. Wiley earned a Ph.D. in Health Policy and Management with a concentration in Public and Population Health Informatics from Indiana University. During his doctoral training, he was a National Institutes of Health (NIH) Biomedical Informatics and Data Science Pre-Doctoral Trainee and Health Policy Research Scholar at the Robert Wood Johnson Foundation. He is an Assistant Professor and Fellow in the National Institutes of Health (NIH)-funded Artificial Intelligence and Machine Learning for the Advancement of Health Equity and Research Diversity (AIM-AHEAD) program.
Michele has nearly a decade of experience managing financial and human resources, large-scale projects, and consulting with large companies. She received an MBA with an emphasis in finance from Southern Wesleyan University.
At Springway Analytics, we work to provide customized, AI-supported analytics support to meet organizational priorities. We accomplish this through secure dashboards developed using open-source, flexible tools.
We are at the forefront of transforming healthcare through advanced Population Health Analytics. Our specialized services empower healthcare delivery organizations, payers, and public health entities to navigate the complex landscape of population health with precision and purpose. We focus on data aggregation and integration, predictive modeling, risk stratification, chronic disease management, and outcome measurement.
We recognize that telemedicine has become an integral part of modern healthcare delivery, and we are committed to helping healthcare organizations harness its full potential through our Telemedicine Analytics services. We offer performance metrics analytics, patient engagement analyses, quality of care assessments, provider productivity analysis, and telemedicine access and equity research support.
We believe that the key to a healthier future lies in preventing health issues before they escalate. Our Predictive Analytics for Preventive Care services are designed to empower healthcare organizations with the insights needed to proactively identify and address health risks, ultimately leading to better patient outcomes and cost savings.
We aim to equip community analysts with the knowledge and skills to examine numbers in any form for any purpose critically. We are preparing a workforce for the future that can independently develop projects, analyze organizational data, and interpret results. While we support teams with analytics expertise, we pride ourselves on creating nimble and self-sufficient analytics teams.
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