Sinéad McElhone has a BSc (Hons) degree in Human Nutrition and a PhD in the large scale epidemiological study of obesity in children and adolescents, both from Ulster University in Northern Ireland. She then worked in Deakin University Melbourne, Australia before returning to England and obtaining a position as a Senior lecturer at Leeds Beckett University in the areas of nutrition, epidemiology and public health. Since the beginning of the pandemic, she has been the Director (Acting) of Organizational and Foundational Standards within Niagara Region Public Health. She leads a large team of informatics, analytics, CQI, research & evaluation and communications experts. Previously she led the informatics and analytics teams at Public Health. Her main activities in this role included leading the implementation of an Information Governance strategy and roadmap and her team undertook general surveillance, research & evaluation and informatics strategic and operational activities. Sinéad is also an Adjunct Professor at Brock University teaching students in the areas of equity, data and public health.
Day 1: Dec 2, 2020
Panel: COVID-19: Partnerships, Data Capture and Advanced Analytics
Best Practices for Scaling Staff, Building Partnerships and Capturing More Actionable Data
COVID-19 accelerated the adoption of new technologies and organizational structures across all industries. But perhaps none more than the healthcare sector. Join the discussion as we tackle some of the lessons Niagara Region Public Health learned as they scaled up to meet the demands of their COVID-19 response. Source insights to:
- Quickly scale up staffing who are skilled in data capture and analysis to meet increased demands
- Protect data and patient privacy while sharing critical information to trusted teams
- Build effective partnership agreements and establish trust in your collaborative work
- Communicate quickly and clearly with the public on COVID-19 mitigation and transparency
Leverage lessons learned and implement best practices for building data analytics capacity quickly and effectively during COVID-19.
Day 2: Dec 3, 2020