Harmonize Siloed Data to Obtain Actionable Insights and
Support Critical Decisions

Accelerate Data-Driven Healthcare Transformation

Processing disjointed and siloed healthcare data from multiple systems is resource intensive without an intelligent data harmonization solution in place. The rise in demand to personalize care and optimize healthcare costs is driving the adoption of solutions that can harmonize loosely connected healthcare data into a cohesive standard that powers innovation initiatives from workflow automation to Artificial Intelligence /Machine Learning (AI/ML) that boost healthcare outcomes.

Google Cloud's Healthcare Data Engine (HDE) activated by Quantiphi's Health Integration Accelerator (HIA) empowers healthcare organizations with the right tools to make healthcare data immediately useful by enabling an interoperable, comprehensive view of patient or related health data. Quantiphi's HIA combines the core capabilities of Google Cloud's HDE with AI and ML layers to help enhance patient outcomes, deliver better care, and enable healthcare organizations to support their digital transformation strategy. Examples of applications for HIA include:

Harmonize Data
Across Facilities

Enable Predictive
Analytics at Scale

Develop Enterprise-Grade
AI Applications

Obtain Cohesive
Patient View

Learn how healthcare stakeholders can streamline operations, enhance patient satisfaction and improve patient outcomes with the enterprise-wide adoption of predictive analytics into their systems. Read the blog.

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