This week’s The Winning Edge webinar focused on the backbone of the healthcare ecosystem, and how AI is being asked to make data management easier for healthcare leaders.
Healthcare organizations are dealing with massive amounts of data, clinical and financial, structured and unstructured. And while AI may be the tool to manage that data, there’s a lot of work that goes into setting up the rules and guardrails.
HealthLeaders’ The Winning Edge took on that hot-button issue this week with an in-depth discussion about data management from two renowned experts. Roopa Foulger, VP of Digital and Innovation Development at OSF HealthCare, and Sarah Pletcher, MD, MHCDS, Chief Digital Health Officer and SVP and Executive Medical Director of Strategic Innovation at Houston Methodist, laid out how their health systems are managing data and governing data usage.
It’s not an easy task. Ironically, while AI may eventually take away all the heavy lifting for data management, right now there’s a lot of complexity.
“Where the data was acted on or how the data was inputted has a meaning depending on where it is in the clinical workflow,” Foulger notes. “We're just scratching the tip of the iceberg in terms of how we're going to leverage that data clinically and financially.”
Read a recap of the conversation here, and check out the YouTube below:
Eric Wicklund is the associate content manager and senior editor for Innovation at HealthLeaders.
KEY TAKEAWAYS
Data management is a complex undertaking in today’s healthcare ecosystem, involving a wide range of stakeholders and a need for strong governance.
Forward-thinking healthcare leaders understand that data can have value to more than one department.
As more healthcare services shift from the hospital to other sites, it’s important to keep track of unstructured and structured data, and to know where it’s accessed, who controls that access and how that data can be used.