McKnight's Podcast

6 questions to take your EHR data from the Blockbuster era to Netflix relevance

Episode Summary

In the latest installment of the “Reimagining Senior Living and Long-Term Care” series, MatrixCare experts urge providers to start treating their data as the strategic enterprise asset that it is. As margins tighten and staffing models face unprecedented strain, resilient organizations must shift from simple data collection to support true "data enablement," where information actively informs real-time decision-making rather than serving as a retrospective report. Hosted by McKnight’s Executive Editor Jim Berklan, the conversation with MatrixCare’s Paul Minton, head of product, and Daniel Zhu, vice president of product management, identifies three primary pillars for a modern data strategy: -Breaking down silos: Why clinical, financial, and operational data must be integrated to provide a unified view of performance. -Speed to insight: Using accessibility and usability as benchmarks to determine how quickly leadership can pivot based on incoming metrics. -AI and predictive readiness: Ensuring data is clean and organized today so that advanced technologies can be leveraged effectively tomorrow. The shift toward value-based care has made this integration a necessity rather than a luxury. "The organizations that really view data as core to their operating model, not just a technical capability, are the ones that position themselves for long-term resilience," says Minton, who outlines six critical questions every leader should ask to assess their own data readiness. The question he asks “all the time” about professional and personal technology decisions? “Am I gonna be the Blockbuster of entertainment or I'm gonna be the Netflix of entertainment? Which one am I gonna do? … Am I making the right decision? That’s how I gauge it.” Listen to the full episode to learn Minton’s five other questions and how they can prompt providers to modernize their data approaches. Note: This recap was assisted by Gemini, which used artificial intelligence to help capture key points. It has been reviewed by an editor for accuracy.