HAP’s 2024 Regional Policy Meetings provide the opportunity for members of your team to engage with fellow emerging health care leaders and to influence public policy that impacts how you deliver care every day. The HAP team excited to learn about the challenges your team faces and the opportunities you see to delivering effective patient care to develop legislation, policy proposals, and seek changes to the regulatory environment.

Join us on November 8, 2024, at the Sheraton Valley Forge for the region’s premier health care event. Southeast Connect brings together more than 250 executives, trustees, quality and safety leaders, nurses, and physicians to network, learn, and celebrate the region’s best-of-the-best.

It is likely that your system or hospital has recently been contacted by a firm urging you to partner with them to gain access to part of a substantial settlement associated with a recent court decision against Blue Cross and Blue Shield. In light of this, HAP is presenting a session to educate C-suite leaders about the case, hospital options, recovery potential, and timing so you are positioned to make the best decisions for your organization.

The value of accurate clinical documentation has gained a strong foothold in recent years, mostly due to its impact on high visibility metrics in a performance-based health care environment. As physicians juggle increasing administrative and clinical tasks, clinical documentation accuracy, a necessary evil, is often a source of frustration. This frustration stems partly from their interactions with documentation queries, the predominant approach to capturing severity for typical clinical documentation improvement (CDI) programs that typical CDI programs leverage. This typical query-driven approach has delivered significant value for severity capture and continues to do so, with limitations when it comes to scalability, physician engagement, and sustainable results.

The AI revolution is upon us, reaching facets of our everyday lives. Health care is ripe for an overhaul; but the journey of transformation will require curious, courageous, and informed health care leaders. Together we will explore the foundational concepts of machine learning, predictive analytics, AI, and generative AI, and how those different models can be applied to workforce planning, scheduling, and staffing phases. Additionally, technological concepts and considerations will be applied to best practice examples to guide leaders with real-world considerations on how to prepare, start, and support the journey of workforce digitization in their health systems.