Your EHR system only shows part of the picture. To truly improve health outcomes and deliver more cost-effective care, healthcare providers need to account for what happens outside the clinic walls—social conditions, environmental risks, and behavioral patterns that shape long-term health.
That’s where external data comes in.
By integrating third-party data into your population health strategy, you can predict risks earlier, allocate resources smarter, and improve outcomes across entire communities.
Why External Data Powers Smarter Population Health
✅ Identify at-risk groups using environmental and social determinant data
✅ Improve care management and patient engagement across underserved populations
✅ Target interventions more efficiently to reduce readmissions and chronic care costs
✅ Monitor health trends using real-time sentiment and behavioral signals
How It Works
🔹 Train predictive models on both clinical and non-clinical factors
🔹 Use cluster analysis to segment high-risk patients based on shared social and behavioral traits
🔹 Apply time-series analysis to forecast disease events and demand spikes
🔹 Analyze social media with NLP to understand public health sentiment and concerns
Real-World Impact: Scaling with Real-World Data
Cerner’s population health platform integrates public health, genetic, and wearable device data across 100+ U.S. health systems. Their real-world dataset spans over 100 million patients—helping predict disease outbreaks and optimize chronic care programs at scale.
—
📩 Want to boost your population health outcomes with better data? Talk to Blue Street Data about unlocking external sources that give you the full picture.
[Talk to a Data Expert]
—
