March 4 @ 4:00 – 5:00 pm
Speaker: Richelieu, MIS, RN
Presented from NCCU
Broadcast Link: Seminar
This presentation will explain how experts in clinical and health informatics can achieve meaningful use (MU), which is the use of certified electronic health record (EHR) technology to improve quality, safety, and efficiency, and reduce health disparities. Practitioners have learned how to use data analytics to engage patients and families, improve care coordination, and enhance population and public health.
Richelieu Tah, MIS, RN is the Director of Clinical Informatics at Sampson Regional Medical Center (SRMC) in Clinton, NC. Prior to joining SRMC, he worked in health IT at Person Memorial Hospital in Roxboro and as a developer at BioMerieux diagnostics company in RTP. Mr. Tah’s education, training as a RN, and experience in data analytics have given him practical and research experience that he will share on meaningful use (MU), which includes the application of analytics to electronic health records (EHR) and healthcare data. He has been active leading the MU implementation for Stage I through to the current Stage II year 2 reporting period at SRMC. Through the Medicare and Medicaid EHR Incentive Program, the federal government provides financial incentives for the meaningful use of certified EHR technology to improve patient care. To receive an EHR incentive payment, providers must show they are meaningfully using their EHRs by meeting thresholds for a number of objectives. SRMC has received incentive payments for Stage I (years 1 and 2) and Stage II (year 1).
Mr. Tah has also led SRMC’s responses during two audits by the Centers for Medicare and Medicaid Services (CMS). For that effort, he was involved in the nomenclature mapping and workflow redesign to capture discrete data; he implemented a data repository and reports-writing system.
From 2010 to the present, Mr. Tah has attended and participated in thought leader forums in North Carolina, Washington, DC, and Texas speaking on the topics of meaningful use, analytics, population health, big data, health information exchanges (HIE), and biomedical informatics.