The AI Cloud for Healthcare Performance.
Improve patient outcomes.
Grow market share.
Save providers time.
All in one AI-enabled cloud.
Drive VBC performance
Improve patient outcomes and maximize revenue performance in value-based care programs.
Grow patient volume
Drive patient engagement, access, and experience with integrated CRM, PRM, and omnichannel marketing tools.
Save providers time
Reduce the administrative burden on providers with AI-assisted insights and workflows at the point of care
Drive Outcomes and Performance with the Healthcare Intelligence Cloud
Transform fragmented data into proactive, coordinated actions across the entire care journey
Deliver exceptional care at lower costs
Delight consumers and grow market share
Reduce the burden on providers with AI
We’re customer-outcome obsessed.
Increase in patient engagement
Clincal Education Expert, Dignity Health
reduction in
readmission rates
value realized through automated coding protocols
Best-in-KLAS, over and over again
Since 2021, Innovaccer has been the only vendor to win 4 Best-in-KLAS awards for Data & Analytics Platform, Population Health Management, and CRM categories.
Unlocking your EHR’s full potential
We integrate seamlessly with your EHR(s) to create a system-wide strategy. That's why the largest customers of Epic, Oracle Cerner, and MEDITECH choose Innovaccer.
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All powered by the
Data Activation Platform
Raw data is received from source systems and stored in the lake before any processing and interpretation. Your original data is always available to diagnose any issues and enable reprocessing as issues are resolved.
Patient and provider information are aggregated into a single record containing multiple sources of information through Master Data Management functionality, including an Enterprise Master Patient Index, and data curation to remove redundancies. The data at this level is leveraged for application functionality and downstream processing.
The raw data is parsed and codified, then stored in a simple and clean data structure without complex relational features. The data at this level is typed and coded to the UDM’s ontology and ready to be processed into the downstream structures, which are leveraged for applications and analytics.
Intelligent algorithms enrich the data the previous stage with deep insights. Out of the box, this includes each patient’s disposition toward quality measures (numerator, denominator, exclusions), risk and social vulnerability profiles, gaps in care, engagement data, next best actions, and more.
Analytics summarize and denormalize the data from Unify and Process stages into a multidimensional data cube structure optimized for analytics, AI, workflows, and additional data visualization use-cases.
Resources
Revolutionizing Public Sector Decision-Making: A Deep Dive into Innovaccer's Government Health AI and Analytics Platform (GHAAP)
Medicaid and public health systems face a diverse set of specialized data needs, ranging from population health analysis at the state level to point-of-care requirements at local health jurisdictions.
How AI is Revolutionizing Medical Documentation
Medical documentation is one of the many areas that is being revolutionized by...
Reimagining Public Health: CDC's New Vision for Data-Driven Equity and Whole-Person Health
In the rapidly evolving landscape of public health, data has emerged as the cornerstone of driving...
A Revolution in Care Management: How Innovaccer is Changing Everything
In 2011, we set out to solve healthcare's biggest challenges with data activation and insights.
