Transform Healthcare
Data into Better Care

Our Data Activation Platform transforms raw data from disparate sources into actionable insights, bringing new efficiencies and insights across your organization.

DAP turns healthcare data into
actionable intelligence

Integrate

Raw data is received from source systems & stored in a data lake.
‍

3X

more accurate than off-the-shelf AI

Harmonize

Data is parsed & codified, then stored in a simple data structure.
‍

3X

more accurate than off-the-shelf AI

Unify

3X

more accurate than off-the-shelf AI

Patient & provider information are aggregated into a single record.

Process

Intelligent algorithms enrich the data with quality measures, gaps in care, & more.

3X

more accurate than off-the-shelf AI

Analyze

Data is denormalized into a structure optimized for analytics, insights, & workflows.

3X

more accurate than off-the-shelf AI

Integrate

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.

Integrating data in 16 states for

2800

data elements supported

Unify

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.

Unifying records at

54M

patient records unified

Harmonize

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.

Harmonizing clinical and claims data at

6000

data quality rules applied

Process

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.

Improving documentation accuracy at

10%

improvement in quality gap closure

Analyze

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.

Bringing analytics and AI to

22%

reduction in readmission rates

Unified Data Model

At the heart of the platform is the Unified Data Model, which constantly acquires, curates, and aggregates healthcare data as it's created. With approximately 70 entities and 2,800 data elements, our model is robust enough to support thousands of use cases across clinical, financial, and operational domains.

Cloud Lakehouse Architecture

Our platform uses a modern Cloud Lakehouse architecture that combines the flexibility of a data lake with the rigor of early-binding source data to the Unified Data Model. This approach dramatically lowers total cost of ownership, reduces time to value, and promotes transferable reuse of business value across platform deployments.

Data Governance

Our comprehensive data governance framework ensures the highest standards of data quality, security, and compliance throughout the entire data journey. The framework operates across three key dimensions: Data Quality Management, Data Lifecycle Management, and Security & Compliance. This robust governance framework ensures that our platform maintains the highest standards of data integrity while providing the flexibility that customers need to derive value.

6 of the top 10 health systems bring their data to life with DAP.

Leveraging AI to accelerate speed to value

Content Recommendation Engine

Our AI-powered recommendation engine suggests relevant content, dashboards, and protocols based on user behavior and preferences.

Data Pulse

Data Pulse is our real-time data monitoring solution that uses AI algorithms to detect anomalies and ensure data quality.

Semantic Normalization

Our platform employs advanced AI techniques to convert uncoded concepts from customer data into codified concepts in target terminologies.

Cohort Builder

The AI-driven Cohort Builder empowers business users to create and manage patient cohorts with ease.

DAP Copilot

Our DAP Copilot uses AI to automatically map source fields to our Unified Data Model (UDM) improving overall efficiency.

Natural Language Understanding

Our NLU capabilities derive clinical signals from text-based information, enhancing the depth and breadth of insights available from unstructured data.

Function-as-a-Service (FaaS)

FaaS provides a framework to invoke intelligent algorithms based on interpretation of aggregated patient information.

Intelligent Scheduler

The scheduler predicts times of high and low resource consumption, ensuring a smooth flow from database to dashboard.

Advanced Data Ingestion and Processing

Rapid Data Ingestion

Our platform enables customers to go live with multiple integrated data sources in weeks versus months. With over 300 prebuilt connectors in our Connector Library, we accelerate the process of activating data sources from various vendors and systems.

Rapid MSSP Activation

With DAP, healthcare organizations can achieve rapid progression from ingestion to dashboard, enabling MSSP success. The average Innovaccer client goes from contract to activation in under 2 weeks.

OUR CUSTOMERS

We’re customer-outcome obsessed.

79%

Increase in patient engagement

"For organizations seeking a care management solution, I'd say stop looking. Innovaccer turns your vision into reality, enabling you to care for more patients, reduce costs, and make a real difference in healthcare delivery."

Malcom Smith

MA,LMSW
Clincal Education Expert, Dignity Health

“The partnership with Innovaccer has been strong. From the beginning, I think that we were treating each other as partners as opposed to a vendor-customer.””

Seth Selkow

Senior Director

We're customer outcome obsessed.

"With Innovaccer's AI, notes are automatically scanned for updates at the point of care, enabling physicians to focus on their patients, and this can save up to 30 minutes per day."

James Barr, MD

VP of Physician Value Based Programs

“By making data more accessible and accurate, and using AI in practical ways, we can actually solve the day-to-day challenges that providers and payers face.”

Nick Moriello

President of Highmark Blue Cross Blue Shield Delaware

integrations

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.

Resources

WHITE PAPER

Innovaccer’s Data Activation Platform: What Makes it the Best in KLAS Data and Analytics Platform

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.

October 8th, 2024

WHITE PAPER

Five Reasons Why the Modern
Payer Needs a Data Activation Platform

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.

October 8th, 2024

Experience the
Data Activation Platform

Frequently Asked Questions

What is the Data Activation Platform (DAP)?

The Data Activation Platform (DAP) is the foundation of Innovaccer’s Healthcare Intelligence Cloud, designed to unify and activate healthcare data. It integrates data from various sources across your organization, normalizes it using a Unified Data Model, and provides AI-powered insights and applications to improve healthcare outcomes and operational efficiency.

How does the Unified Data Model (UDM) work?

The Unified Data Model is a comprehensive healthcare data schema that includes approximately 70 entities and 2,800 data elements. It constantly acquires, curates, and aggregates healthcare data as it's created, providing a consistent structure for clinical, financial, and operational data across various sources.

What types of data sources can the DAP integrate?

The DAP can integrate data from a wide variety of healthcare sources, including Electronic Health Records (EHRs), claims systems, lab systems, pharmacy data, and more. With over 300 prebuilt connectors, it can quickly integrate data from major healthcare IT vendors as well as custom and legacy systems.

How does the DAP ensure data quality?

The DAP uses a quality-driven pipeline that incorporates over 6,000 granular data quality rules. These rules are automatically invoked during data processing to surface and resolve data issues, ensuring high-quality, semantically normalized data from disparate sources.

What AI capabilities does the DAP offer?

The DAP offers several AI capabilities, including:
‍
- Content Recommendation Engine
- Data Pulse for real-time data monitoring
- Semantic Normalization
- AI-driven Cohort Builder
- AutoMapper for data integration
- Natural Language Processing (NLP) for unstructured data
- Function-as-a-Service (FaaS) for custom AI/ML algorithms

How does the Cloud Lakehouse Architecture benefit healthcare organizations?

The Cloud Lakehouse Architecture combines the flexibility of a data lake with the rigor of early-binding source data to the UDM. This approach offers several benefits:
- Lower total cost of ownership
- Reduced time to value
- Improved data quality and consistency
- Enhanced scalability and performance
- Easier integration of new data sources and use cases

Can the DAP be customized for specific healthcare organization needs?

Yes, the DAP is highly customizable. Organizations can extend the Unified Data Model within their deployment to incorporate additional entities, objects, and attributes. The Function-as-a-Service (FaaS) capability also allows customers to build and deploy their own AI/ML algorithms on the platform.

How does the DAP support interoperability?

The DAP supports interoperability through its FHIR+ data model (Level 4), which represents data in a graphical structure optimized for high-performance FHIR-based APIs. This allows for easy integration with SMART on FHIR apps and facilitates data exchange between different healthcare systems.

What cloud platforms does the DAP support?

The DAP is cloud-agnostic and supports deployment on major cloud platforms including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. This flexibility allows organizations to choose their preferred cloud provider or even migrate between providers while maintaining their investment in the DAP.