Dr. Rincon is a Consultant for Brainxai and Blue Cirrus Consulting. She also serves in teaching positions at UMass Chan Medical School and Regis College. She has been leading teams in implementation of and strategic planning for telehealth services, evidence-based practice initiatives, clinical decision support, predictive analytics data collection and reporting methodologies, and building documentation and reporting in electronic medical record systems for nearly 2 decades. She is an expert in report writing, device integration, physiologic data mapping, and building documentation tools within various EHRs. She has been a member of and/or led numerous local, national, and international research and education groups; professional organization task forces, committees, and special interest groups; and other independent teams of clinicians in addressing clinical, informatics, and health care problems. After earning her ADN (1996) and BSN (2008) degrees, Dr. Rincon graduated from the University of Kansas School of Nursing, Kansas City KS with a Doctor of Philosophy in Nursing (minor studies in Applied Health Care Informatics) in 2018. She is a Fellow in the Society of Critical Care Medicine’s American College of Critical Care Medicine (2014) and American Telemedicine Association College of Fellows (2023). She is knowledgeable in various coding languages to support statistical analyses, integration, mapping, and modeling of large, complex datasets. This includes working with data architects in extracting, transforming, and loading (ETL) procedures; homologation (assessing for correctness, consistency, and possible corruption); pipeline development; and procedures for deidentification of clinical data. Her research interests include sepsis, telehealth, knowledge management, continuous quality improvement, clinical decision support systems (CDSS), artificial intelligence, and data/information visualization. She has supervised and managed clinical and IS teams in interface builds between and upgrades of multiple complex heath information software applications. She has been published more than 30 time peer reviewed papers, book chapters, white papers, and other pieces.
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Deployment Challenges Downstream of Machine Learning
Saturday, February 22, 2025
2:55pm – 3:40pm Eastern Time
Saturday, February 22, 2025
3:40pm – 4:40pm Eastern Time
Saturday, February 22, 2025
4:40pm – 5:00pm Eastern Time
From Basics to Breakthroughs: Navigating the Role of Artificial Intelligence in Critical Care
Tuesday, February 25, 2025
2:30pm – 3:30pm Eastern Time
Unveiling the Future: Harnessing Artificial Intelligence to Improve the ICU Experience
Tuesday, February 25, 2025
2:35pm – 2:50pm Eastern Time