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Today, approximately 30% of the world’s data volume is being generated by the healthcare industry. In 2025, the compound annual growth rate of data for healthcare will reach 36%. That’s 6% faster than manufacturing, 10% faster than financial services, and 11% faster than media & entertainment. As healthcare organizations expand, CDOs are confronted with a critical question: How should the data and analytics department be organized? Should it adopt a decentralized approach with independent regional teams, centralize operations at the headquarters, or opt for a federated model combining central and regional teams?
As healthcare organizations strive to create comprehensive 360-degree views of their patients, consumers, members, and providers, the need for an accurate identity foundation has never been more critical. However, the growing complexity of new applications, data sources, and touchpoints generating identity data has made it increasingly challenging to achieve a unified view. Without clarity on "who is who" across the enterprise, organizations struggle to deliver exceptional consumer experiences, drive organic growth, enable seamless care transitions, and improve outcomes.
Join an engaging fireside chat with Verato and Yan Ding, Chief Data & Analytics Officer at Acadia Healthcare, as we delve into the challenges and opportunities surrounding Customer 360 initiatives. Discover actionable steps, emerging trends, and proven best practices for overcoming these hurdles and elevating your organization’s patient or member experience.
Join Andrew Cohen as he addresses critical challenges facing the healthcare industry, exploring the principles and considerations of GenAI. He will navigate through the healthcare innovation continuum, presenting compelling use cases and concluding with essential success factors for implementing GenAI in healthcare
Lightning Debates encourage quick thinking, concise expression, and active engagement. The debates are intellectual sprints, challenging you to articulate viewpoints on controversial issues effectively within tight time constraints. Vote with your feet, choose a side and defend your point of view.
Approximately half of U.S. healthcare spending is concentrated on just 5% of the population, with 22.8% going to just 1%, according to the Department of Health and Human Services. These figures have remained consistent for years. Data and analytics can help balance the relationship between patient health and costs by identifying critical points in the care journey where conditions can be prevented, keeping patients out of the hospital. With the rise of value-based care, CDOs are implementing methods to accurately measure outcomes and impact. While the value-based care framework aims to share patient data and performance information to identify trends, gaps, and improvement opportunities, practical challenges remain in achieving this quickly, ethically, cost-effectively, and safely. Collaboration remains a key strength in this sector.
CDOs in healthcare are currently focusing on data products from an internal standpoint to fit whatever the organization's strategic priorities might be, from faster insights for critical decision making to improving data governance and monitoring KPIs. More recently data leaders are starting to consider the commercial opportunity of monetizing external data products. There is potential revenue in play from working with organizations outside of healthcare. Before this shift could happen, data leaders must put a failsafe in place.
As artificial intelligence (AI) continues to integrate into the Healthcare sector, the need for robust AI governance and the strategy to implement becomes increasingly critical. This session will explore the evolution from traditional data governance to AI governance, highlighting the new roles, skills, and responsibilities required. We will discuss the challenges of implementing AI governance, including the evaluation of AI models for bias and fairness, and the cultural shifts necessary within organizations. Gain insights into designing effective AI risk review boards and the importance of collaboration between data governance and AI governance teams.
Here the focus turns to you, our audience, regardless of whether the subject matter fits into one of our topics. Here is your chance to take advantage of having the entire community of healthcare data leaders in the same place to use their expertise like it is your very own sandbox. Test out new ideas and strategies on your peers and get instant feedback. Push the boundaries and think differently, put forward ideas, concepts, and new ways to deliver them. Do not be shy with your ideas - love it or hate it, prompting a strong response from your peers will be a sure-fire way to test things out before bringing them to the attention of your C-Suite.