NARA WebinarsNARA provides its members and the general public access to webinars covering topics in human care regulation.
Thursday May 11, 202311:00 AM Eastern Time How Regulatory Agencies Are Using Big Data to Predict Non-compliance Data visualization is a method of data mining that uses graphs and charts to drill down into large and complex datasets. By applying a series of filters, regulatory agencies can visually explore non-compliance data and identify critical trends and anomalies. With this insight, regulatory agencies can predict the likelihood of future non-compliances and provide resources, training, and technical assistance to providers. In this session, participants will learn how the quality of data collected during inspections directly impacts the usability of data for visualization, and how regulatory agencies are currently using data visualization to reduce repeat violations. Participants will be provided with practical steps to evaluate existing datasets and determine data visualization readiness. Our Presenters for this session: Mark Parker, President at Outlier Technologies With over 25-years of experience in health and human services, Mark is a trusted advisor to government agencies and regulated business throughout the United States and Canada. Mark has personally shadowed inspectors to experience first-hand the unique challenges they face and served as a Board Member and Treasurer for the National Association for Regulatory Administration (NARA). Years of experience has taught Mark that strong public-private partnerships are the key to better outcomes and better communities. Mark’s mission is to help protect those who are unable to protect themselves by providing tools that increase inspector productivity, assist businesses with maintaining compliance, and help consumers make better informed decisions. To achieve this mission, Mark is promoting the Compliance Monitoring Cycle as an alternative to the traditional annual inspection model. This data-driven and proactive approach to regulatory compliance shifts the focus from snapshot-in-time inspections to corrections and ongoing prevention.
As a research psychologist Dr Fiene has spent his professional career in improving the quality of early care and education/childcare nationally and internationally with positions within academia (University of North Carolina at Greensboro and the Pennsylvania State University) and in state government (Commonwealth of Pennsylvania). He has done extensive research and publishing on the key components in improving early care and education/childcare quality through an Early Childhood Program Quality Indicator & Improvement Model (ECPQI2M4©) of training, technical assistance, quality rating & improvement systems (QRIS), professional development, mentoring, licensing, risk assessment, differential program monitoring, key indicators, and accreditation. Dr Fiene is a retired professor of human development & psychology (Penn State University– University Park and Harrisburg campuses) where he was department head (Harrisburg) and director of the Capital Area Early Childhood Research and Training Institute (University Park).
Interested in Presenting a NARA Webinar?NARA is looking for webinar presenters. If you have a topic you'd like to present to our members, please contact us at [email protected] for details. NARA's Webinar ArchiveAll webinars are archived and available for purchase for members and non-members. Check out the recordings here. Webinar Refund and Credit PolicyWebinar registration fees are due at the time of registration. In order to be eligible for refund, the written request must be received at least five (5) business days prior to the day the webinar is scheduled to occur. All refunds will be subject to a processing charge of $15.00 (US Funds). Late cancellations are not refundable, but attendance may be transferred to a colleague who is eligible at the same fee rate based on membership status if done at least one (1) business day prior to the scheduled webinar. No-shows will not be eligible for refund or transfer.
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