A Data and Analytics Ecosystem, Purpose-Built for Healthcare

Today's health systems face significant challenges in navigating a path to clinical, operational, and financial success – rigid, legacy technologies, labor-intensive data collection and aggregation, inaccessible data, immense financial pressures, and staggering amounts of healthcare data.
In May 2024, Health Catalyst launched a dynamic solution to help healthcare organizations effectively harness data for improved healthcare outcomes. Health Catalyst Ignite™ is a next-generation healthcare data and analytics ecosystem that combines best-in-class technologies, healthcare-specific data models, self-service tools, and industry expertise in one modern environment.
Learn how Ignite provides high-value healthcare-specific data management and analytics rapidly and at scale.

1. A Data and Analytics Ecosystem, Purpose-Built for Healthcare Dave Ross | Chief Technology Officer Mitchell Kearney | SVP, Architecture & Engineering

2. High-Value Data High-Value Analytics Modern Open Data and Analytics Ecosystem High-Value Data and High-Value Analytics Power Our Solutions ↑ Revenue ↓ Cost ↑ Quality Budgeting Labor Costs Contracting Collections Readmissions Charge Capture Heart Failure Pop Health Safety Patient Engagement Ambulatory Care

3. The Challenges You Face Getting the data you need to make decisions Cost of Data Management Accessibility and Efficiency  Time and Energy Constraints  Data Inconsistency

4. The Solution Getting the data you need to make decisions Scale, Optimize, and Standardize  Cost of Data Management Prioritize, Surface, and Simplify Accessibility and Efficiency     Automate, Enrich, and S treamline Time and Energy Constraints  Normalize and Harmonize Data Inconsistency

5. Siloed data and analytics systems Inconclusive enterprise analytics Inconclusive departmental analytics Inefficient data science Siloed data & analytics systems Inconclusive enterprise analytics Siloed enterprise intelligence Inefficient data acquisition, curation, & enrichment Inability to scale subject matter expertise Disconnected technologies outside the platform Delayed integration of technologies inside the platform Inefficient data quality Incorrect interpretation of analytics The increasing velocity of data The increasing volume of data Limited data & analytic engineers Unstable & unscalable data engineering Inefficient development of custom data/analytics Inefficient data science Incorrect analytic conclusions Siloed data & analytics systems Inconclusive enterprise analytics Siloed enterprise intelligence Inefficient data acquisition, curation, & enrichment Inability to scale subject matter expertise Disconnected technologies outside the platform Delayed integration of technologies inside the platform Inefficient data quality The increasing velocity of data The increasing volume of data Limited data & analytic engineers Unstable & unscalable data engineering End-to-end technology integration Extensible data acquisition, curation & enrichment Plug-and-play data acquisition, curation & enrichment Enabling data scientists and other technical experts Self-service data science Self-service reporting Event-driven processing Unified data model that is extensible Elastic compute Extensible technology integration Plug-and-play healthcare data quality Prebuilt APIs & FHIR APIs Embedded AI/ML Interoperability DataOps Accessible Extensible Modern Intelligent Integrated Accessible Extensible Intelligent Integrated Modern Barriers and Breakthroughs to Enterprise Intelligence

6. Introducing Ignite Data and Analytics WHAT IT IS A data and analytics ecosystem that combines best-in-class technologies, healthcare-specific data models, self-service tools, and industry expertise WHAT IT DOES Breaks down the cost, time, access, and expertise barriers to data-informed healthcare improvement WHAT IT MEANS Gets the right data in the hands of decision makers—at the right time—to drive massive, measurable improvement

7. Core Enabling Technologies: The Backbone of Ignite

8. Foundational Capabilities: Ensuring Stability and Reliability

9. Lakehouse Architecture: Bridging Data Lakes and Warehouses

10. Efficient and Secure Data Acquisition

11. Accessible and Usable Data Consumption

12. Reusability, Consistency, Quality Provide reusable, consistent patterns for data & analytic development and deployment Eliminate repetitive tasks like creating and securing service principles or common tags End-to-End Deployment Centrally available, pre-built healthcare utilities and functions Centralized Content Management Leverages modern DataOps to simplify data dev lifecycles and deployments Asset Bundle Templates Solution Immature data development lifecycle Challenges Repetitive tasks Fragmented content sprawl

13. The Ignite Difference: Designed for Healthcare Integrated data Natively integrates clinical, operational, and financial data to support healthcare’s most important use cases

14. Insights to Impact Automatic intelligent optimization significantly improves performance of data interactions Users spend more time delivering value  and less time prescriptively tuning data assets  Intelligently Optimized Centralized policy management ensures data experts have the right access at the right time Full data provenance & history provides the clearest picture, building data trust and adoption Comprehensive Control More than 30% reduction in deployed technologies and services Workflow-specific compute prevents performance degradation when more data flows are added Simpler at Scale

15. Performance Independence Reduce the time spent negotiating performance Healthcare data format specific optimizations Pre-built and predictive Enable more teams and use cases without stepping on toes Workflow allocated compute Majority of analytics need to be ready by start of business Compute that scales when you need it Solution Limited data processing windows Challenges Constant optimization on shared, constrained compute Manual optimization across thousands of tables

16. A Data & Analytics Ecosystem: Designed for Healthcare Efficiently Monitored Accurate and timely data in user-friendly formats puts the power of operational quality in your hands

17. Insights to Impact 22-90% reduction in ingest time, depending on source data size 4 days average ingest time for all source types (databases, file-based sources, and APIs) Decrease Data Onboarding 33%-43% reduction in ingest time for Epic 34% reduction in ingest time for Cerner 66% reduction in ingest time for Lawson 43% reduction in ingest time for Allscripts Efficiencies for Specific Vendors Unified view of all data sources so progress and success of all jobs can be monitored in one place Separate pipelines for each source so one job failure doesn’t affect them all Easy-to-Follow Job Status

18. Ignite UI: Your Central Hub for Data Operations

19. Leveraging Embedded Healthcare Expertise Embedded Expertise AI enriched with healthcare knowledge streamlines operations and minimizes routine data handling duties

20. Empowering Self-Service Data Access Self-Service Accurate and timely data in user-friendly formats puts the power of data in your hands

21. What It Means Better Decision Making Transparent self-service data and analytics Unified healthcare data products AI decision support within BI tools Maximized Investment Scalable and seamless integration for enhanced efficiency Simplified processes and tools  to streamline operations Flexible and healthcare tailored solutions Faster Insights Reduced repetitive data management tasks Streamlined ingestion (300+ source templates) Pre-built standard data APIs

22. Dave Ross | Chief Technology Officer Mitchell Kearney | SVP Enterprise Architecture and Data & Analytics Alora Martin | Webinar Program Manager [email protected]