Key features
Simplify health data management and accelerate analytic discovery with an end-to-end enterprise solution for analytics and data automation. Gain valuable insights on the quality and cost of care. Make transparent and explainable decisions in governed, regulated environments. Drive enhanced patient care and outcomes, improved clinician experience, optimized cost management and resources.
Turnkey data ingestion
Easily ingest your data that follows industry-standard formats and sources, such as FHIR.
Secure access to systems
Establish secure access to your various systems, data sources and applications.
Data integration & enrichment
Bring together and enrich health and non-health data sources, and prepare data for analytics. Manage data and analytic model lineage. Refresh analytic model and cohort analysis results as new data arrives.
Data refresh schedule optimization
Schedule your data ingestion in advance, so you can pick a time most suitable for your health organization and optimize data refresh timings.
Low-code/no-code interface
Easily ingest FHIR data using our low-code/no-code interface, which enables anyone to create and consume insights that lead to better decision making.
Embedded machine learning & AI
Use AI/ML predictions to enhance your descriptive analytics and gain insights for better decision making across all parts of your organization. Transparent AI/ML models help you to anticipate member and patient needs.
Open-source capabilities
Easily integrate teams and technology across the analytics life cycle, enabling all types of SAS and open-source users to collaborate.
Flexible deployment options
Take advantage of our cloud-native and cloud-agnostic platform with complete portability across on-premises, hybrid or multicloud environments.
Add-on capabilities
Interactive clinical event builder
Create customized clinical definitions – including clinical associations, attribution, utilization and risk – for use in population health studies or clinical research.
Why choose SAS Health Solutions?
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- E-BOOK Your journey to a GenAI future: A strategic path to success in health care
- E-BOOK Your journey to a GenAI future: A strategic path to success in life sciences and pharma
- E-BOOK Data-driven health care
- E-BOOK Public service of the future
- 백서 Generative AI in Health Care: Opportunities and Cautions
- 분석 보고서 SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- E-BOOK Detect and halt risky payments across the life sciences supply chain
- E-BOOK The future of public health: Building more resilient infrastructure for better health outcomes
- 고객 사례 Advanced analytics helps hospital put patients at the heart of improved outcomes
- 백서 Improving HCP Engagement with Digital Analytics
- 백서 The connected patient in decentralized clinical trials
- 백서 Transforming clinical trial design and execution
- 백서 The road to health equity
- 고객 사례 Optimizing cancer patient care with advanced analytics
- 고객 사례 Automated safety reporting protects hospital patients in Norway
- 고객 사례 Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiency
- 고객 사례 Hospitals save time and money with real-time medical device tracking
- 기사 Analytics leads to lifesaving cancer therapies
- 기사 Are you covering who you think you’re covering?
- 고객 사례 Improving data collection and modeling to accelerate predictive medicine efforts
- 기사 Containing health care costs: Analytics paves the way to payment integrity
- 분석 보고서 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition
- 백서 An Inflection Point for Opioids
- 기사 Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- 고객 사례 Analytics helps major public health system run efficient programs and improve patient care
- 분석 보고서 dbInsight: SAS Viya is living large on Azure
- 고객 사례 SAS Viya and open source: Innovation through collaboration
- 고객 사례 Italy’s second-largest hospital uses advanced analytics for effective pandemic response
- 고객 사례 A healthier planet through bioscience innovation
- 기사 Public health infrastructure desperately needs modernization
- 고객 사례 Maximizing the reach and impact of an eHealth hub
- 고객 사례 Predictive analytics helps save lives during COVID-19 pandemic
- 분석 보고서 Matrix: Payment Integrity In Healthcare
- 고객 사례 Transforming mental health care in California, turning data into insight
- 고객 사례 A data-driven approach to whole person care
- 기사 Finding COVID-19 answers with data and analytics
- 기사 How health care leaders deployed analytics when crisis hit
- 기사 Situational awareness guides our responses – routine to crisis
- 고객 사례 Ensuring mental health patient safety during a global pandemic
- 기사 Saving lives during a global pandemic through medical resource optimization
- 기사 Will health care be fundamentally changed post-COVID-19?
- 고객 사례 Advancing mental health care with predictive analytics
- 기사 The transformational power of evidence-based decision making in health policy
- 고객 사례 Automated laboratories improve uptime with analytics
- 기사 IoT in health care: Unlocking true, value-based care
- 백서 Fighting Insurance Application Fraud
- 백서 Using Modern Analytics to Save Government Programs Millions
- 백서 Artificial Intelligence for Executives
- 기사 Analytics startup focuses on health care optimization
- 백서 Behavioral Health in the Health Care IT Ecosystem
- 백서 Text Analytics for Executives
- 기사 Using analytics to prevent deadly infections
- 기사 Health care cost containment through big data analytics
- 백서 Achieving program integrity for health care cost containment
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- 기사 Detecting health care claims fraud
- 기사 Can data sharing lead to cancer discoveries?
- 기사 Analytic simulations: Using big data to protect the tiniest patients
- 기사 Analytics for prescription drug monitoring: How to better identify opioid abuse
- E-BOOK Innovation driven by strategy
- 기사 Better alignment of incentives: Helping cure data analytics in health care
- 기사 How researchers are fighting cancer with analytics
- 기사 Stopping the Zika virus: The potential of big data, analytics
- 백서 Optimize Your Launch Sequence Strategies
- 기사 Why you should care about episode analytics
- 기사 Big data in health care
- 백서 An Analytic Prescription
- 백서 The Road to Value-Based Health Care
- 기사 Analytics at the edge
- 백서 Empowering Life Sciences With Secure, Accessible Information
- E-BOOK Powering Health Innovation with AI
- 백서 Modernizing Healthcare Analytics on the Cloud: Experiences from the Front Lines
- 백서 How Public Sector Agencies Can Use Analytics to Lead Through Crisis
- 백서 The Speed of Digital Disruption: Sustaining Transformation in Health Care and Life Sciences
- 백서 Fighting the Rising Tide of Medicaid Fraud
- 백서 Decentralized clinical trials: From evolution to revolution
- 웨비나 Why Clinical Trial Enrollment Simulation Is Critical to the Success of Your Trial
- 웨비나 From Idea to Action: The Keys to Real-World Evidence and Analytics
- 웨비나 AI in Health Care: Enhance Clinical and Operational Decision Making
- 웨비나 Wake-Up Call: Modernizing Public Health Practices