Azara Healthcare
Azara Healthcare provides a comprehensive data reporting and analytics platform designed to help community health centers and physician practices improve patient care and optimize clinical 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 | Azara Healthcare | SAS Viya |
|---|---|---|
| Website | azarahealthcare.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 | 2011 | 1976 |
| Headquarters | Burlington, USA | Cary, USA |
Overview
Azara Healthcare
Azara Healthcare offers a centralized platform that transforms your raw clinical data into actionable insights. By connecting directly to your Electronic Health Record (EHR) and other data sources, you can monitor quality measures, identify gaps in care, and manage patient populations more effectively. You can visualize your performance through intuitive dashboards that highlight trends in chronic disease management, preventative screenings, and social determinants of health.
The platform is specifically built for Community Health Centers (CHCs), Primary Care Associations, and clinically integrated networks. It helps you automate the tedious process of manual reporting for UDS and other regulatory requirements, freeing your staff to focus on patient outreach. Whether you are managing a single clinic or a large network, you can use these tools to drive better health outcomes and maximize your value-based care revenue.
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
Azara Healthcare Features
- Automated UDS Reporting Generate your annual Uniform Data System reports automatically to save hundreds of staff hours and ensure submission accuracy.
- Care Gap Identification Identify specific patients who are overdue for screenings or chronic disease follow-ups so you can close gaps in care.
- Risk Stratification Use clinical and social data to identify your highest-risk patients and prioritize them for intensive care management services.
- Peer Benchmarking Compare your clinical performance against state and national averages to see how your facility measures up to peers.
- Social Determinants Tracking Capture and analyze non-clinical factors like housing and food security to provide more holistic care to your community.
- Controlled Substance Monitoring Track prescribing patterns and patient medication history to improve safety and comply with opioid management protocols.
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
Azara Healthcare Pricing
SAS Viya Pricing
Pros & Cons
Azara Healthcare
Pros
- Simplifies complex regulatory reporting for UDS and PCMH
- Integrates smoothly with most major EHR systems
- Provides clear visualizations of clinical quality measures
- Excellent customer support and clinical transformation advice
Cons
- Initial data mapping requires significant staff time
- Learning curve for building custom ad-hoc reports
- Pricing is high for very small practices
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