In the recent Arcadia webinar we tackle four common challenges — rising costs and tighter margins, patient leakage, labor shortages, and physician burnout and offer some ways organizations can control them.
Avoid implicit bias, confirmation bias, and other pitfalls of healthcare data blind spots with these helpful pointers.
How Umpqua Health's regional SDoH program helped the CCO impact patients lives, identify their most at risk patients, and deliver care.
Helping health plans, providers, and organizations improve performance and pinpoint risk with accuracy is at the core of our mission, and at RISE, we can’t wait to solve the industry’s greatest challenges together. Join us 8/31 – 9/2 in Los Angeles.
Machine learning and predictive analytics are a valuable tool in healthcare. Here’s how to avoid implicit bias in your outcomes and analytics.
Predictive analytics offer huge potential value to healthcare organizations — but only if you pick the right problems to solve
Accelerated innovation, public trust in the system, new payment models, and big data. Here’s NYT bestselling author Shawn DuBravac’s take on how these trends will impact that future of healthcare.
We're sharing the following statement with our customers who may have questions about our predictive algorithms in light of recent media coverage. For general ...
Within all the rightly harsh press about “physician burnout” there is a bright spot called predictive analytics. I will get to that in a moment. Let me set the ...
How do you find the most 'actionable' patients for care management — the ones who will most benefit from intervention? Dr. Rich Parker first saw the value ...