What does it really take to make this happen? Data leaders in the sector are working with the same slide deck, join us to hear how the combination of regulatory compliance, technology, architecture, business model and change management, can come together to allow you to execute your vision. Beyond just compliance with TEFCA, FHIR and HL7 how do you ensure effective implementation and execution considering the deterrents for data sharing and movement in the sector? Data standards and APIs are thought to enable seamless data exchange across stakeholders (payers, providers, patient advocates). The issue comes out of the practical requirements of the sector to invest in purpose-built solutions to solve issues specific to their enterprise.

• Hear about the KPIs enterprises in the sector are monitoring to demonstrate strategic alignment of incentives for data sharing and adoption
• Discover why peers are first redefining enterprise-wide data governance to balance privacy, security, and data quality to enable interoperability
• Ascertain the effectiveness of various tech solutions to help overcome challenges like bifurcation of data sources, managing diverse partners, and regional HIEs

Benjamin Shobert

Senior Vice President of Clinical Data Strategy
Optum

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Stephen Espy

Chief Data Officer and Director Office of Informatics and Analytics
Tennessee Department of Health

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From centralising data by implementing data lakes to migrating to EPIC and looking at metadata features for data governance, CDOs in the healthcare provider space aim to converge on new data strategies, using modern cloud computing paradigms. The emphasis looks to be on the importance of acquiring and cataloguing data for AI readiness, shifting from reporting-focused data strategies to a more holistic approach. Data leaders are actively looking at changing gears and working on data strategies to improve health outcomes, enhance data exchange, and promote health equity. 

• Learn about the process put in place by other data leaders to assess the maturity and robustness of their data and analytics strategy and share insights of strategic shifts tailored to an organization’s needs. 
• Discover peer best practice for adapting to evolving technology and aligning capabilities with healthcare goals. 
• Hear about the real or expected outcomes of strategic alignment and collaboration in the sector.

Mayil Dharmarajan

VP of Data and Analytics
UCI Health

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Data leaders in the sector are taking a gradual approach to AI/ML innovation, starting with lower risk use cases while developing frameworks to address the unique requirements of healthcare. CDOs are exploring modalities to build internal automation models to enhance patient data analysis by incorporating behavioral data sets from multiple sources.

• Learn how exactly automating data processes can improve accuracy and drive better patient outcomes.
• Discuss ways to effectively balance your people and hardware budgets when building internal AI/ML models
• Share ideas about the potential value of an internal model for different enterprises
• Debate the cost effectiveness of building rather than buying

John Taverna .

Chief Analytics Officer - Data Architecture and Business Intelligence
Urban Health Plan

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In this session, we will explore the holistic data strategy implemented at Moffitt, addressing the diverse data needs across administration, research, and clinical domains. We will discuss the approach to surveying the landscape of data use cases, focusing on a North Star use case to guide improvements in various data domains. By strategically investing in data curation—whether through manual efforts, NLP-derived methods, or innovative workflow integrations—the aim is to enhance the quality and efficiency of downstream analytics. Gain insights into the development and execution of the data strategy, highlighting the role of AI as a tool for driving the use cases and the importance of a strategic approach to data investment.

• Learn about the process put in place by other data leaders to assess the maturity and robustness of their data and analytics strategy and share insights of strategic shifts tailored to an organization’s needs.
• Discover peer best practice for adapting to evolving technology and aligning capabilities with healthcare goals.
• Hear about the real or expected outcomes of strategic alignment and collaboration in the sector

Dana Rollison

Vice President, Chief Data Officer (VP, CDO) and Associate Center Director (ACD) of Data Science
Moffitt Cancer Center

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Look beyond AI and explore disruptive technologies. From blockchain to quantum computing, discover how these advancements can transform healthcare. Discuss practical applications and potential breakthroughs