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Public Sector Analytics Solutions for Public Health & Government Health Care
Public Health & Government Health Care
Building Healthier Communities Through Data-Driven Decisions
SAS advanced analytics solutions enable public sector health agencies to better quantify public health needs in their communities, monitor progress in service delivery, assess the impact of population health programs, and identify and address inequities. SAS accelerates innovation in government health operations by using data to inform policies and make decisions.
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How SAS Supports Public Health Modernization
There's an unprecedented opportunity to modernize public health. Designed by epidemiologists for public health, our modular solution facilitates collaboration, creates efficiencies and provides real-time insights to solve new and existing public health challenges.
Trusted data foundation
- Realize efficiencies in data preparation, integration, access, reporting and visualization.
- Bring a new level of stability and structure to your data systems.
- Maximize public health insights by interconnecting health data.
Real-time case management
- Establish a flexible, adaptable foundation for epidemiological investigations.
- Customize for widespread use in public health reporting, from lead screenings to infectious disease cases and beyond.
- Use a single platform for case management functions for programs such as HIV or hepatitis.
Dynamic disease surveillance & reporting
- Create a single, collaborative space for data prep, analytics and visualization.
- Use epidemiological modeling to support real-time decision making.
- Develop automated reports for internal surveillance and public information.
Peer-reviewed scientific research
Scientific Publications Featuring SAS
Explore recent publications – highlighting innovative research using SAS software – on a variety of health care and life sciences topics.
Why choose SAS for public health modernization?
As a long-trusted partner of public health, SAS helps enable public health modernization by unifying disparate data in a single platform.
Improve the stability & structure of your data systems
Gain faster insights and efficiencies with an analytic and data management platform that runs on a modern, scalable and interoperable architecture.
Unify analytic assets for deployment & governance
Achieve unparalleled coordination between various statistical languages – including open source – reducing time from analysis to insight and fostering collaboration across your organization.
Capture critical health data through investigative case management
Adopt a single platform for investigating, cleansing, analyzing and visualizing data, whether your focus is infectious or chronic disease, or simple surveillance.
Experience real-time reporting capabilities
Detect and respond to public health threats faster – from a public-facing water quality report to chronic disease registries analysis and beyond.
Predict trends & identify threats to human health
Use advanced analytics to reduce the time from detection to action in order to save lives and prevent future public health crises. By uniting all the tools public health needs in one modular solution, SAS speeds time to value and improves efficiencies.
Customer Success
Working Smarter With SAS
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Ensuring safe, swift COVID-19 vaccine distribution
The North Carolina Collaboratory relies on SAS Analytics for IoT on Azure to harness the complex system of cold chain logistics, ensuring safe transport, storage and availability of COVID-19 vaccines statewide, particularly to underserved and rural communities.
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Saving lives through effective planning and preparation
The government of Odisha uses advanced analytics and an interactive dashboard from SAS to track COVID-19 cases, allocate medical resources and prepare for future crises.
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Improving population health using artificial intelligence
The Healthy Nevada Project, a community-based genetics study, uses SAS machine learning and artificial intelligence to personalize health care and improve population health in Nevada.
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Saving lives during the COVID-19 pandemic
FPS Public Health, the government agency that oversees health care in Belgium, uses self-service analytics with AI and machine learning capabilities from SAS to forecast hospital bed occupancy, predict infection rates and ensure sufficient medical staffing during the global health crisis.
Recommended Offerings for Public Health Modernization
Explore More on Public Health Modernization
- E-BOOK The future of public health: Building more resilient infrastructure for better health outcomesModernizing management and analysis of public health data can help drive better decisions and health outcomes at every level and enable unparalleled efficiencies and strategies in a new era of public health.
- 기사 Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
- 웨비나 Public Health Reimagined: The Frontier of Government Health TechnologyLearn how analytics and data-driven solutions can help modernize and scale crucial health care infrastructure and services.
- 팟캐스트 시리즈 The Health PulseExplore fresh perspectives on digital transformation in health care and life sciences.
- 솔루션 페이지 Health Care AnalyticsImprove patient outcomes and experience through advanced health care analytics.
- 솔루션 페이지 Health Care Analytics Solutions for Navigating the Impacts of COVID-19Adapt to the challenges of public health crises and address critical issues including situational awareness critical response analysis, epidemiological modeling, medical resource optimization, contact tracing and real world evidence.
- 백서 From the Ground Up: Key Steps to Modernizing Public Health InfrastructureThe COVID-19 pandemic threw public health infrastructure – or, more accurately, the limitations of current public health infrastructure – into the spotlight. However, in reality, this is the last place public health should be.
How SAS Helps Government Health Care Organizations
SAS enables government health care organizations to improve the lives of those they serve by combining disparate data and deploying advanced analytics to drive insights and innovation. Use data-driven decisioning to evaluate outcomes, manage program costs, identify fraudulent behavior, and improve equity and access.
Enhance program evaluation
- Monitor program performance against goals and objectives.
- Determine the generalizability of program findings to scale effective interventions.
- Obtain timely insights into the quality and impact of programs and policies.
Advance equity
- Apply quantitative and qualitative analyses to achieve whole person care.
- Optimize diversity and inclusion strategies through advanced analytics and modeling.
- Identify the most accurate models for determining health disparities, including leveraging social determinants of health.
Strengthen program integrity
- Minimize improper payments using proven AI algorithms.
- Use leading technologies like social networking and machine learning to proactively identify potential cases of fraud, waste and abuse.
- Gain a holistic view of a recipient or provider to better detect anomalies or discrepancies across government programs or systems.
Support value-based care
- Identify variables that drive utilization.
- Use performance metrics to ensure equitable and quality care provision.
- Strengthen accountability by examining health outcomes and identifying gaps in care.
- Review progress longitudinally and identify policies that support population health improvement.
Support data-driven policymaking & program evaluation
- Aggregate data sources to create an accurate and comprehensive view of resources, utilization and individuals for population health and quality improvement.
- Explore and visualize key trends impacting operations and outcomes.
- Model interventions to determine affect and forecast future demand.
- Provide flexible what-if analyses with minimal coding for regulatory policy changes, econometrics and fiscal impact.
Optimize health care resources
- Anticipate health care resource needs to better prioritize and allocate resources.
- Monitor hospital capacity and critical care beds across a network of facilities.
- Optimize equipment and supply inventories using streaming data from IoT devices.
- Analyze workforce conditions, strengths, and vulnerabilities to identify trends, risks, and skills gaps in time to act up on them.
Peer-reviewed scientific research
Scientific Publications Featuring SAS
Explore recent publications – highlighting innovative research using SAS software – on a variety of health care and life sciences topics.
Why do government health care organizations choose SAS®?
Reduce costs and improve outcomes using targeted, data-driven actions. With SAS, government health care organizations can add structure and accountability to ensure that programs have a positive impact on lives. From measuring quality performance to enhancing advanced analytics or modeling, SAS provides the knowledge to fortify value-based care, whole person care, and the entirety of public payer and provider operations.
Measure & model population health outcomes
- Gain a holistic view of utilization and outcomes across health and nonhealth services with innovative, proven analytics.
- Design, develop and deploy analytics interactively and effectively.
- Enable your data scientists to build, govern and deploy models in their programming language of choice, allowing easy sharing and consumption of model outputs.
Increase transparency & accountability in government health programs
- Achieve operational efficiencies, democratize data access and inform data-driven decisions with a single, integrated analytics platform.
- Assess cost and quality, identify gaps in care, forecast demand and model the impacts of program decisions using dynamic visualizations and advanced analytics.
Manage costs & eliminate waste
- Understand cost drivers, episodes of care and quality metrics.
- Detect, prevent and manage fraud, waste and abuse using industry-leading hybrid analytics.
- Identify emerging trends sooner using a single, integrated platform with enhanced alerting and leading technologies.
Customer Success
Working Smarter With SAS
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Keeping patients safe with automated reporting
Together with SAS, Nordland Hospital Trust began automating its work processes with the Global Trigger Tool (GTT) method in 2010. Instead of relying on voluntary physician reporting, the GTT method uses event-based triggers to assess potential patient harm. Automating the GTT method can improve logistics and reduce patient injuries.
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Running efficient programs and improving patient care
SAS helps the Los Angeles County Department of Health Services meet federal regulations, ensure financial viability and better serve a diverse population of more than 10 million people. Powerful analytics and user-friendly dashboards improve operational and fiscal decision making.
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Validating success and funding of mental health programs and services
California's Mental Health Services Oversight and Accountability Commission uses analytics and data management from SAS to better serve residents and increase community well-being.
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Advancing mental health care with predictive analytics
Canada's Centre for Addiction and Mental Health uses SAS to take a data-driven approach to improving care and streamlining hospital operations.
Featured Solution
SAS Payment Integrity for Health Care
SAS Payment Integrity for Health Care is a single, integrated solution with components for fraud detection, alert management and case handling. Plus enhanced AI capabilities, such as automation for built-in intelligence, simplicity, collaboration and transparency.
Recommended Offerings for Government Health Care
- SAS® Event Stream Processing머신 러닝과 스트리밍 분석을 통해 엣지에서 인사이트를 발견하고, 클라우드에서 실시간으로 지능적인 결정을 내립니다.
- SAS® Health Solutions산업별 분석 및 안내가 가능한 반응형 방식으로 신속한 목적 달성이 가능합니다.
- SAS® Intelligent Decisioning분석에 기반한 강력한 비즈니스 규칙을 손쉽게 생성, 관리, 통제하여 대규모 의사결정을 지원합니다.
- SAS® Payment Integrity for Health CarePrevent, detect and manage payment integrity issues from every angle.
- SAS® Visual Analytics데이터 안에 담긴 중요한 관계를 발견하고 인사이트를 공유할 수 있습니다.
- SAS® Visual Investigator다양한 인텔리전스 분석 및 조사관리 니즈를 신속하면서도 정확하게 해결할 수 있습니다.
- SAS® Visual Text AnalyticsSAS 비주얼 텍스트 애널리틱스는 자연어 처리, 머신 러닝 및 언어학적 규칙을 결합하여 비정형 데이터에 숨어있는 인사이트를 제공할 수 있습니다.
- Transforming Health Outcomes Through Analytics | Powered by AzureImprove patient outcomes and experience using predictive health insights.
Explore More on Government Health Care
- 백서 The road to health equityHow data and analytics contribute to improving outcomes for all.
- 고객 사례 DNA analysis unlocks better health for communitiesPopulation genetics data delivers health breakthroughs using SAS® machine learning and advanced analytics.
- 분석 보고서 Matrix: Payment Integrity In HealthcareAccording to this 2021 report on healthcare payment integrity from Aite, SAS' stability as a vendor, its brand recognition and its desirable product features outpace those of its peers.
- 고객 사례 Reducing hospital-acquired infections with artificial intelligence Hospitals in the Region of Southern Denmark aim to increase patient safety using analytics and AI solutions from SAS.
- 기사 빅 데이터를 활용해 캐나다 청소년의 자살 위험을 예측자살은 캐나다 청소년 사망 원인 중 두 번째를 차지합니다. 위험에 처한 십대들을 구해내는 데 빅 데이터와 분석 기술을 어떻게 활용할 수 있는지 알아봅니다.
- 고객 사례 Changing the conversation about behavioral healthSan Bernardino County uses data management and advanced analytics to improve care and address misconceptions.
- 팟캐스트 시리즈 The Health PulseExplore fresh perspectives on digital transformation in health care and life sciences.
- 솔루션 페이지 Health Care AnalyticsImprove patient outcomes and experience through advanced health care analytics.
Recommended Reading
How COVID spurred drug repurposing research: A conversation with an FDA data scientist
The pandemic caused public health agencies and life sciences companies to scramble to find effective treatments. Exploring the efficacy of existing drugs to treat COVID, an example of what's known as drug repurposing, was an intense focus for Qais Hatim, a Data Scientist at the US Food and Drug Administration (FDA).
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