Facilitated executive panels with audience engagement. Let’s hear from you and your peers!
Revenue: Overcoming Shifting Healthcare Requirements
Location: Sun Valley
New regulations, pricing transparency requirements, and thinning margins are causing hospitals to become ever more reliant on their revenue-cycle data being truly comprehensive and up to date.
How have your revenue cycle processes changed to respond to shifts in healthcare?
Platform: Scaling Data and Analytics Excellence
Healthcare organizations must be data-driven to address disruption in healthcare from competitors, consumers, regulators, and economic changes. While some organizations have pockets of excellence in data and analytics, most have not scaled that excellence across the enterprise due to long analytics lifecycles, inadequate quality controls, over-dependence on analysts, and technology disruptions.
Has your organization been able to drive excellence across the organization? Why or why not?
Augmented Intelligence (AI): Demonstrating the Positive Impact of AI
For years, there was much industry hype about the potential for AI to transform healthcare and healthcare analytics. However, many healthcare systems are struggling to successfully integrate AI into their analytic processes. Too often, their efforts are unsuccessful. Leaders and analysts struggle to integrate AI into current tools, integrate or change workflows, and demonstrate the positive impact of AI.
What does successful AI integration look like?
Labor: Using Timely Data to Stop Guessing at Labor Needs
Labor accounts for 50% to 60% of the typical healthcare budget—and those costs are growing due to COVID-19 and other impacts. To eliminate waste, you must use data to find where budgeted staffing hours exceed or fall short of patient needs. But most organizations have the wrong tools to do this effectively, trying to guess at future patient volumes and staffing needs using untimely retrospective data.
What tactics are your organization using to address the challenges of labor cost overruns and labor shortages?
Data Abstraction: Improving Processes to Gain Insights
Inefficient, manual clinical chart abstraction decreases efficiencies. As is common for many provider organizations, these data, which were rich with insights, rarely made their way back into the systems’ quality improvement initiatives. The team members responsible for abstracting this data were not empowered to operate at the top of their license to influence and improve the clinical processes from which the data are derived, contributions that they were eager to make.
Has your organization capitalized on insights from data abstraction? Why or why not?
Patient Engagement: Increasing Engagement Through Patient Interactions
Location: Sun Valley
Patients who are actively engaged in their care have lower costs and better outcomes. Health systems try to engage patients through existing patient portals, but typically see low adoption. In addition, health inequities are growing and directly affecting health through the distribution of resources, risk, and power.
What specific tactics has your organization used for increasing patient engagement?