Join us on Wednesday, June 10 at 11 am EDT to hear how leading healthcare organizations are building a trusted data foundation to save lives and shape the future of healthcare.
In partnership with:
In today’s healthcare environment data is either your friend or your enemy; with good data you can deliver high-quality healthcare with bad data you won’t survive and thrive. Master Data Management (MDM) is a key pillar of any data strategy and provides a trusted data foundation for healthcare success. This webinar will show how MDM can provide a trusted data foundation for a wide range of data management initiatives.
By attending the webinar, you will learn:
- What: Understand how Master Data can provide a trusted data foundation for success in the modern healthcare world
- Why: As the business of healthcare becomes increasingly digital and data-driven, a core foundation of trusted master data is necessary for a broad range of initiatives
- How: This webinar will outline the key data drivers of modern healthcare and the role of Master Data Management in responding to those pressures, including real-world examples from a leading healthcare provider
FEATURED SPEAKERS:
John is an inspiring storyteller with a rich history of applying technology to improve health and healthcare in the United States and globally. Weaving technology together with industry-changing influences such as consumerization, payment reform, and regulation, John advises Microsoft’s clients to help them change their culture so they can thrive in the new landscape.
Mark has spearheaded the use of MDM in MD Anderson Cancer Center for the last 6 years, implementing a range of MDM use cases from patient tracking to facilities management, and most recently focused on data governance for healthcare information (patient, diagnosis, treatment, outcome, etc.) to facilitate accelerated research around the interactions between Cancer and COVID-19.
Martin Boyd
Martin Boyd is VP Product Marketing at Profisee and has over 10 years’ experience in MDM, Governance and Data Quality.
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