Transform your concurrent authorization case review processes and free up time for the skilled minds who administer member benefits and provide care. Whether in a Fee-for-Service or Value-Based Care arrangement, the purpose-built payer-provider Dragonfly platform eliminates data silos and interoperability issues while accelerating data-driven decisions in the utilization management and reimbursement processes.
The Dragonfly payer-provider healthcare platform removes the need for faxed documentation or calls, allowing your team to communicate directly with providers, eliminating payer-provider abrasion.
Dragonfly Align provides payers and health plans a real-time shared data framework, delivering bi-directional clinical information updates to both payer and provider teams.
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Clinical data sharing with healthcare providers, plus leveraging artificial intelligence (AI) for predictive analytics, improves concurrent authorization case review efficiency, driving automation for health plans. The result is improved Payer-Provider Alignment and performance across metrics.
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Dragonfly’s highly precise predictive analytics work to expedite case review processes for improved payer and provider collaboration, allowing them both to access and collaborate on the same clinical data through a single, shared, AI-driven platform that streamlines concurrent authorization workflows.
Allow your team to view data in real-time and eliminate redundancy with clear clinical updates that strengthen payer and provider partnerships.
AI-powered data generates every necessary case review detail, without the need for your team to dig through endless EMR data or faxes to find the information they need.
Reduce case touches, speed case level determinations, and reduce the administrative work and peer-to-peer burden with our Dragonfly platform.
Objective analytics align payers and providers with historical, data-backed thresholds by using Precision Utilization Management (PUM) to automate inpatient and observation status determinations.
Provide your team with a consistent, EMR-agnostic interface that enables payer and provider teams to not only view the same clinical data live, but also to achieve optimal outcomes.
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Chilmark Senior Analyst Dr. Jody Ranck explores traditional processes used in Utilization Management and their challenges, and how applying AI and machine learning (ML) can build bridges, improving payer provider collaboration.
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