ChatBlox™ further scales analytics in Value-Based Program Administration
HSBlox, a technology company empowering healthcare organizations with the tools and support to deliver value-based care (VBC) programs successfully and sustainably, today announced release 2.5 of its SmartBlox™ analytics solution.
With release 2.5, HSBlox has introduced a conversational AI module, ChatBlox™. The module enables capabilities for users to query their data in plain English using Large Language Models (LLM).
Highlights include:
- The interface enables conversational chat for HSBlox customer users to pose questions in plain English and receive context-aware answers — based on their own clinical or operational data.
- For example, as part of value-based program administration and population health initiatives, users can ask for a specific patient cohort or to analyze quality metrics based on a plain English description.
- Data digitization with structured data processing plus text analytics for processing of unstructured data with UMLS (Unified Medical Language System) tagging and document ingestion from different sources.
“We are excited to offer our customers next-generation analytic capabilities within the context of the programs they operationalize and administer on our award-winning CureAlign® platform,” said HSBlox Chief Executive Officer Rahul Sharma. “Success within VBC programs requires a purpose-built infrastructure to address the needs of attributed populations at an individual patient level – improving patient health outcomes and containing costs.”
The CureAlign platform enables value-based program design, contract modeling and operational administration, including payment and reconciliation. With the HSBlox network-of-networks model for onboarding of complex participant relationships, administration of risk-bearing contracts and alternative payment models, VBC programs are simplified, accelerated and scalable.
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