Clarify Health
Clarify Health is an enterprise analytics platform that maps patient journeys to provide healthcare organizations with actionable insights for improving care quality and optimizing financial performance.
SAS Viya
SAS Viya is a cloud-native data management and analytics platform that helps you build, deploy, and manage artificial intelligence and machine learning models to solve complex business problems efficiently.
Quick Comparison
| Feature | Clarify Health | SAS Viya |
|---|---|---|
| Website | clarifyhealth.com | sas.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2015 | 1976 |
| Headquarters | San Francisco, USA | Cary, USA |
Overview
Clarify Health
Clarify Health provides you with a comprehensive healthcare analytics platform designed to turn massive amounts of data into actionable medical and financial insights. By mapping over 300 million patient journeys, the software helps you understand the precise relationship between clinical care and costs. You can use these insights to identify high-performing providers, manage patient populations more effectively, and succeed in complex value-based care contracts.
The platform is built for health systems, health plans, and life sciences companies that need to move beyond basic reporting. You can pinpoint exactly where to improve care quality while reducing unnecessary spending. Whether you are looking to optimize your provider network or accelerate therapy commercialization, the software provides the specific benchmarks and predictive analytics you need to make confident, data-driven decisions.
SAS Viya
SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to production-ready AI models using a unified interface that supports both visual drag-and-drop tools and popular programming languages like Python and R. This flexibility allows your data scientists and business analysts to collaborate effectively on the same projects.
The platform handles massive datasets with ease thanks to its distributed, in-memory processing engine. You can deploy it on any cloud provider or on-premises environment to maintain control over your infrastructure. By automating repetitive data preparation and model tuning tasks, you can focus on uncovering insights that drive better business decisions and operational efficiency across your entire organization.
Overview
Clarify Health Features
- Patient Journey Mapping Track individual patient paths across the entire care continuum to identify gaps in treatment and improve long-term outcomes.
- Provider Benchmarking Compare physician performance using risk-adjusted data so you can build high-value networks based on actual clinical results.
- Value-Based Payments Model and manage complex reimbursement contracts with automated tools that track your performance against financial and quality targets.
- Population Health Insights Identify high-risk patient groups using predictive analytics to intervene earlier and prevent costly hospital readmissions or complications.
- Social Determinants Data Incorporate non-clinical factors like housing and transportation into your analysis to better understand and address barriers to care.
- Market Intelligence Analyze referral patterns and market share in real-time to grow your business and keep more care within your network.
SAS Viya Features
- Visual Data Preparation. Clean and transform your data using an intuitive visual interface that automatically generates code in the background.
- Automated Machine Learning. Build high-quality models faster by letting the system automatically handle feature engineering, algorithm selection, and hyperparameter tuning.
- Model Management. Register, track, and monitor all your analytical models in a central repository to ensure they perform reliably over time.
- Open Language Support. Write code in Python, R, or Lua while still taking advantage of the platform's powerful distributed processing capabilities.
- Real-Time Decisioning. Embed your analytical models directly into business processes to trigger automated actions and responses the moment data arrives.
- Natural Language Generation. Receive automated text explanations of your data visualizations so you can understand the 'why' behind your business trends.
Pricing Comparison
Clarify Health Pricing
SAS Viya Pricing
Pros & Cons
Clarify Health
Pros
- Massive dataset covering over 300 million unique patient lives
- Highly precise risk-adjustment for fair provider performance comparisons
- Fast processing speeds for complex queries on large datasets
- Intuitive dashboards that make technical data accessible to executives
- Strong focus on actionable value-based care insights
Cons
- Significant initial effort required for custom data integration
- High enterprise price point limits access for small practices
- Learning curve for users unfamiliar with advanced healthcare informatics
SAS Viya
Pros
- Handles extremely large datasets with high performance
- Unified environment for both coding and visual users
- Strong governance features for regulated industries
- Excellent technical support and extensive documentation
- Seamless integration with major cloud providers
Cons
- Higher price point compared to open-source alternatives
- Significant learning curve for the full feature set
- Initial setup and configuration can be complex