Transforming Healthcare Operations with Microsoft Power Automate
Transforming Healthcare Operations with Microsoft Power Automate Introduction: In the rapidly evolving landscape of healthcare, Microsoft Power Automate stands as a pivotal tool, r
AI Agents for Healthcare
AI Agents for Patient Engagement, RCM, Prior Auth, Patient Throughput, Staff & Block Scheduling and Supply Chain, to improve efficiencies, revenue, & reduce costs
Current Manual Process
CloudAstra Optimized Process
Get an advantage in Payer-Provider contract negotiations by having competitor health plan contract pricing data readily available via the Cloud Astra Transparent Pricing data.
Search by top CPT/HCPCS/DRG codes or by provider/payer to determine competitive pricing that can help during contract negotiation
Block Scheduling
Staff Scheduling
Use Analytics, AI/ML, and Generative AI
Talk to us about the issues you need to solve and we can create ai agents that address your workflow and automation needs
A large volume of data is now available in the public marketplace, but unfortunately, it is not user-friendly or easily interpretable. We need a complex data engineering platform and data engineering experts to get value out of this data jungle.
Data accessibility is an ongoing challenge. Providers are hosting data in a different format than payers Data Quality is a concern as well. Companies are finding it extremely difficult to analyze and extract tangible insight.
The available pricing data in a silo is insufficient unless combined with healthcare billing, revenue, and cost data sets to derive meaningful insights
Scalable data platform to ingest, process, and store a large volume of pricing data from payers, providers, and employers.
Prebuilt models that are trained on prior data for predictive and generative AI.
Extensible data platform to include additional healthcare datasets (claims, quality, finance, cost, revenue, etc.) for complete visibility.
Weekly refreshed and curated data sets from multiple partners in an easily consumable format for analytics use cases across the healthcare network.
Comprehensive standardization and data quality check to manage data inconsistencies.
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