At last week’s Becker's Healthcare Conference in Chicago, the focus was clear: it's time for healthcare players to optimize their existing data infrastructures.
Before diving into new tools, invest in connecting and structuring the data you already have. This maximizes your current investments and without structured and accessible data, even the best AI tools won’t deliver the desired outcomes.
💡 Maximizing Data: From Ambient Listening to Iterative Improvement
There was plenty of talk about ambient listening technologies, which create rich clinical documentation and generate large amounts of unstructured data. To realize the full potential of this technology you'll need a platform that can store unstructured data, and uses ML to mine this data for insights, creating actionable insights in real-time.
💡 AI Governance & Security
Govern your transformation evaluation, architecture review, and security reviews by committee, to review and align applications with patient-centered, IT and business outcomes. Remember: Each new application represents both opportunity and risk.
💡 The Power of Personalization & Patient Engagement
Personalized patient engagement solutions are what's next, and they need solid data foundations, just like risk management systems.
Disability, literacy, and economic stability influence patient engagement, and addressing these significantly improves outcomes. Embedding new technologies into existing workflows isn't enough. Redesign processes to fully leverage automation and ensure patient outcomes remain at the center of innovation.
💡 Unlocking Value with Real-Time Insights
The show-stopping challenge: Establishing a single source of truth for healthcare data. Without foundational data that is reliable and accessible, wide and deep, there are no real-time insights. Imagine predictive models delivering insights to providers in the moment to prevent falls or catch a code blue.
💡 Platform-Based Approaches and Scalable Innovation
Finally, a platform approach is essential for fully integrating new technologies. Health systems that can harness innovation at scale by knowing when to pilot and when to go all in, with a close eye on ROI are reducing cognitive load, increasing accuracy, and simplifying workflows with automation.
➡ Looking Forward
The message was clear: to lead in healthcare innovation, organizations must focus on a personalized, data-driven patient experience at scale. Embedding automation, refining workflows, and investing in foundational data structures are all necessary steps.
For health systems looking to improve both clinical and operational outcomes, the future lies in robust data strategies and thoughtful data integration.
