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How to measure care management’s impact
Care management programs are critical tools for helping vulnerable populations, and data analytics are the key to measuring their success efficiency.
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Insights from Arcadia | Page 15
Read the latest articles with expert insights from leading voices in healthcare and data.
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Does the complexity of healthcare analytics require a partner?
A deep dive into the evolution of data, the costs of building vs buying, and the intangible benefits of vendor partnerships in the decision.
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Measuring care management
Arcadia’s care management offerings to turbocharge your analytics. From population identification through outreach, simplify the process of matching the right patients to the right interventions.
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Five phases to grow and nourish a care management program
At care management programs across the country, data analytics are unlocking insights and efficiencies that drive better outcomes.
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Castell partners with Arcadia to elevate value-based care performance
Castell, a new healthcare platform company from Intermountain Healthcare, has partnered with Arcadia to elevate value-based care performance.
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Five considerations for a healthcare IT platform
A look at which features impact the decision to build vs buy in healthcare data analytics and the capabilities that matter.
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Value-based care and fully delegated risk: Which model is right for your healthcare organization?
Many healthcare organizations feel they must move from fee-for-service to value-based care and risk. Here’s a deep-dive on what to consider.
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Build vs. buy in healthcare IT: The battle for buy-in
From the CIO to the VP of Population Health, here’s a deep dive into the arguments for and against “building” or “buying” an analytics system.
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How to steer clear of healthcare data blind spots
Avoid implicit bias, confirmation bias, and other pitfalls of healthcare data blind spots with these helpful pointers.
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What is value-based care? ACOs and the future of healthcare
Here are the basics of value-based care so you can understand how it works, what challenges it poses, and what the future holds.
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Reducing implicit bias in predictive healthcare analytics
Machine learning and predictive analytics are a valuable tool in healthcare. Here’s how to avoid implicit bias in your outcomes and analytics.
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How data analytics pave ACOs’ path to success
The difference between a successful system and an optimized, cutting-edge ACO? Data analytics. Let’s work together.