Solution Brief
Health Outcomes
Unlock trusted, actionable insights faster for optimal health outcomes
The issue
Around the world, health care costs and care demands are rising due to the rising prevalence of chronic diseases, an aging population, unhealthy lifestyle choices and care inequities. Increasing staff shortages and health care professional burnout contribute to additional pressure health care systems are experiencing worldwide. Despite technology investments and scientific advancements, governments, payers and providers are not seeing significant improvements in health outcomes that justify their expenses, while health care disparities are widening.
Data silos and limited analytical capabilities prevent care stakeholders from seeing the holistic needs of individuals and communities. Uncoordinated care is more expensive and results in poor health outcomes. These challenges highlight the need to improve interoperability by integrating health and non-health data to achieve optimal health outcomes. Governments, payers and providers are looking for ways to increase data-informed decisions to improve care coordination, reduce duplicate care and enhance access to care while improving operational, financial and clinical efficiencies.
The challenge
Data silos
Patient data is often locked in separate systems and formats, making it difficult for stakeholders to integrate data from multiple sources to gain a holistic view of the health of a person or population, coordinate care and understand risk factors to overcome health disparities.
Analytical limitations
Organizations want to trust their data and rely on it for data-driven decisions, but they often lack the analytic capabilities to derive insights from their data to analyze the holistic health of their patients.
Uncoordinated care
A lack of care integration between different care providers and payers leads to unnecessary costs and duplicate care and often results in poor health outcomes. Organizations struggle to visualize patient care pathways across stakeholders and analyze utilization to identify inefficiencies.
Poor personalized health experience
Data silos and uncoordinated care lead to poor patient outcomes and low patient engagement in their care journeys. Organizations struggle to drive engagement.
(Integrate data for a holistic health picture; Generate data-driven decisions; Empower care coordination; Personalize care pathways; Drive patient engagement)
Our approach
Data silos lead to care silos. Integrating data and providing trusted, actionable insights for clinical and operational staff allow you to better coordinate care and tailor services to the whole-person care needs of individuals and the population.
We approach the problem by providing software and services that help you to:
Enhance clinical, financial and operational decisions
Efficiently integrate health and non-health data from multiple sources into a unified, shared platform to improve clinical, financial and operational efficiencies. Accelerate operational productivity with generative AI by summarizing clinical and administrative notes, generating email templates and locating relevant research faster.
Improve the customer experience
Remove barriers to innovation by enabling access to analytic insights for all health stakeholders. SAS offers tailored analytic solutions with flexible data science capabilities to meet the needs of both business users and data scientists. Build predictive models that can anticipate clinical events.
Empower care coordination
Simplify your data and analytic landscape so that clinical staff can more efficiently plan and execute patient-centric programs.
Personalize health experiences
Enable a comprehensive digital patient profile to drive engagement and become a provider/payer of choice. Use GenAI for hyper-personalized member/patient communications and insights into the most common issues/questions asked to personalize communication.
SAS difference
As the market leader in AI and advanced analytics, SAS has the experience and technology to help you break down data silos, overcome analytical limitations and improve care coordination.
SAS can help by providing:
SAS Health
- SAS Health to easily ingest your data that follow industry-standard formats and sources, such as FHIR, in less time.
SAS Health on SAS® Viya®
- SAS Health on SAS Viya to expand access to analytic insights faster via a low- code/no-code environment for data exploration, advanced analytics and AI.
SAS Viya
- SAS Viya to benefit from an intuitive interface that allows you to visualize and analyze trends in health data to optimize costs and care.
- SAS Viya to visualize and analyze treatment pathways, treatment patterns, medication and outcomes to make informed decisions.
Machine learning
- Adapts to changing population behaviors via automated model building so that algorithms get smarter and deliver more accurate results.
Alert management
- Intelligently triages events so investigators can quickly see potential areas of interest and decide where to focus first.
Integrated case management
- Support collaboration and intelligence sharing, as well as end-to-end case tracking and auditing. Spend less time dealing with data and more time taking action.
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SAS Health to easily ingest your data that follow industry-standard formats and sources, such as FHIR, in less time.
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SAS Health on SAS Viya to expand access to analytic insights faster via a low-code/no- code environment for data exploration, advanced analytics and AI.
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SAS Viya to benefit from an intuitive interface that allows you to visualize and analyze trends in health data to optimize costs and care.
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SAS Viya to visualize and analyze treatment pathways, treatment patterns, medication and outcomes to make informed decisions.
SAS facts
>60
>60 countries with SAS health care customers
100%
100% of Fortune Global 50 health care and life sciences are SAS customers
>1,700
>1,700 health and social services customers worldwide