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Building a Data Literate Workforce in Healthcare

Key Takeaways:
  • An overview of the importance of data literacy in the healthcare industry
  • Best practices for building a data literacy program, from persona mapping & development to measuring skill outcomes
  • Best practices when managing a large-scale data literacy program with limited resources & an agile team
Thursday February 08, 11AM ET
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In an era where data-driven decision-making is pivotal, the healthcare industry stands at a critical juncture. The effective utilization of data is not just a technical necessity but a cornerstone for improving patient outcomes and operational efficiencies.

In this webinar, Stephanie Garland, Director of Data Literacy, Data and Analytics, Data Academy at NYC Health & Hospitals, will dive deep into the ins and outs of establishing a robust data literacy program in the healthcare sector. We'll explore best practices for persona mapping, development, and skill outcome measurement tailored for diverse healthcare roles. We’ll also offer practical insights into managing large-scale data literacy initiatives with limited resources.

Presenter Bio

Stephanie Garland Headshot
Stephanie GarlandDirector of Data Literacy, Data and Analytics, Data Academy, NYC Health + Hospitals

Stephanie joined NYC H+H, DnA in 2021 as the Director of Data Literacy / Data Academy. She is responsible for the management of the Epic and Tableau training courses, and the training of learners from the extended core facilities and business partnerships within Central Office.Collaborating across multiple lines within Data and Analytics and engaging SMEs, Stephanie oversees the buildout of Data Literacy and Data Academy courses. She is the content producer and Subject Matter Expert for the Epic Program. Prior to joining NYC H+H she worked in the financial and analytic markets, for 20yrs. She co-chairs the Monitoring and Access Committee with Dr. Komal Bajaj. Stephanie holds a Certificate of Diversity and Inclusion from Cornell University and received a B.S. in Mechanical Engineering from the University of Virginia.

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