Every day, hospitals and healthcare systems grapple with hundreds of quality measures that impact critical quality programs like CMS Star Rating, VBP, HRRP, and Leapfrog. These measures, encompassing everything from mortality and readmission rates to HCAHPS Patient experience measures, are pivotal in determining patient care strategies, upholding hospital reputation, and clinching significant financial incentives.
The Current Challenges for Hospitals
Data Overload: Staying on top of hundreds of measures and highlighting those that need focus is a herculean task that stretches the capacities of most quality teams.
Constant Flux: Continuous changes in quality measure algorithms, which dictate what's included in various programs and their respective inclusion and exclusion criteria, are intricate mazes often beyond the navigational capacity of most hospital teams.
Benchmarks to identify deterioration levels: Recognizing when a measure is veering off-course requires defined standards, which can be complex to establish and maintain in real-time.
Technology to implement alerting systems: Crafting a responsive and timely alerting mechanism demands a confluence of the right technology, data integration, and analytic tools, often overwhelming in-house IT and quality departments.
The Need for Early Warning in Quality Metrics
Catching them at nascent stages is vital before potential pitfalls evolve into substantial issues. This is where Artificial Intelligence (AI) plays a transformational role. By employing AI, we can effortlessly sift through mountains of data, identify patterns, and detect early warning signs – nuances that might elude human observation.
In an era where timely action can make all the difference, Dexur has been at the forefront with an AI solution geared towards proactive measures. The AI Advisor Solution includes:
Early Warning Alerts: At the heart of the system is its ability to spot and alert users about deteriorating trends in quality metrics. By catching these early, the hospital can initiate corrective action swiftly, thus safeguarding its reputation and financial standing.
Automated Insights: Beyond alerts, the system autonomously analyzes a spectrum of metrics, generating actionable insights crucial for effective decision-making.
Seamless Communication: These alerts and insights are not confined to a dashboard. They are actively disseminated through platforms like Dexur and bespoke email newsletters designed for individual hospitals.
Augmenting Human Expertise with AI: This solution accentuates human decision-making. While AI grapples with data-heavy tasks, it equips analysts to strategize and act based on the insights rendered.
If your hospital is interested in getting a sample of AI-driven early warning alerts based on Medicare Claims data, please send a email (DexurAIQualityAdvisor@dexur3.com) to access the AI quality insights for your hospital.
Dexur’s AI Advisor Solution also provides a free version that represents a sampling of Dexur's comprehensive paid offerings, and it will produce a limited high-value set of insights based on available Medicare claims data without relying on members to provide additional data to Hospital association members.
For example, the Indiana Hospital Association (IHA) and Dexur have partnered together to provide Hospital-Specific AI Quality Insights to all IHA members. IHA is organizing a Webinar for Dexur to share more information on this new exciting groundbreaking program for IHA members on Sep 19th, 2023 at 2PM. The Webinar can help your hospital association understand how cutting-edge quality programs may benefit hospital association members.
To register for the Zoom meeting, please click here: