The health care industry has been facing unprecedented times.
The health care industry has been at the epicenter of the COVID-19 pandemic, but impacts have been felt in nearly every industry sector. Public health professionals prepare for situations like these, but the rapid spread of the virus and globalized supply chains tested all plans for pandemic response.
- Situational Awareness & Critical Response Analysis
- Epidemiological Modeling
- Medical Resource Optimization
- Contact Tracing Investigations for Public Health
- Real World Evidence
Situational Awareness Critical Response Analysis
Rapid response to emerging public health threats requires a comprehensive approach to detecting and assessing outbreaks, identifying characteristics of the threat and determining optimal intervention strategies. Modeling the spread of infections based on up-to-date health surveillance data can help you mobilize critical health care resources and understand the effectiveness of mitigation and containment efforts. SAS analytics solutions can help by enabling:
- Simplified and automated public health reporting.
- Increased transparency into spread and trends.
- Epidemiological models that help project dates for peak infection and hospital demand.
Solutions for real-time disease surveillance and data-driven decision making
Discover how using data and analytics can help health care organizations prepare for and respond to critical health situations and recovery efforts.
Epidemiology is the analysis of disease conditions within a population. For pandemics such as COVID-19, epidemiological models allow health care professionals to run different virus projection scenarios in order to follow the flow of a population through the stages of an epidemic. They also provide important information to non-health organizations that need to understand the impact on supply chains, product demand forecasts and public policy decisions. Using predictive modeling capabilities from SAS, you can:
- Estimate key parameters of interest, such as disease contagiousness or the average number of people who will catch the disease from one infected person (R0).
- Quantify the efficacy of interventions – e.g., social distancing, vaccinations – in reducing R0.
SAS powers response to COVID-19 by health organizations globally
Learn how Cleveland Clinic and SAS are sharing COVID-19 predictive models to help hospitals plan for current and future needs.
Medical Resource Optimization
Health care systems need to ensure that adequate, quality medical resources are available to protect public health. Analytics can help predict medical resource needs, including hospital capacity, personnel, and critical medical equipment and personal protective equipment (PPE). SAS has the relevant expertise in epidemiology, workforce analytics and operations optimization – including supply chain and inventory management – to help you:
- Optimize, prioritize and allocate resources to meet demand where and when they are most needed.
- Continuously monitor demand and supply, and ensure proactive management of scarce resources.
Predictive analytics helps save lives during COVID-19 pandemic
Learn how Belgium's FPS Public Health uses self-service analytics with AI and machine learning capabilities to forecast hospital bed occupancy, predict infection rates and ensure sufficient medical staffing during the COVID-19 pandemic.
Finding Resources in the Chaos: Lessons Learned About Medical Resource Optimization
Explore how to optimize, prioritize and allocate resources to meet current and future demand – and learn how analytical models can inform an optimal hospital restarting plan.
Special Report | Data Models | Webinar | Articles | Infographic | Hackathon Event
Analytics-Driven Medical Resource Optimization
The ability to optimize, prioritize and allocate medical resources will redefine our path forward. Explore numerous insights from a 2020 HIMSS global health care survey, access free data models on Github, listen to 2020 lessons learned, read about SAS’ award-winning efforts to share crucial data tools with hospitals, and much more.
Contact Tracing Investigations for Public Health
SAS helps public health officials and investigators make sense of overwhelmingly complex disease events, manage the velocity of alerts and understand disease spread. Our comprehensive solution enables you to proactively identify risk contacts and superspreaders by combining:
- Robust link analysis.
- Text and geospatial search and analysis.
- Interactive network building.
- Entity generation.
- Contact analysis.
Using analytics and data visualization to identify at-risk populations to reduce disease spread.
Discover how analytics and data visualization can help you identify at-risk populations to reduce disease spread.
Real World Evidence
Health organizations need to share clinical outcomes data with life sciences and other research companies to advance the development of new therapies and vaccines. The goal is to glean new scientific and commercial insights from real world evidence (RWE). SAS helps you effectively leverage RWE by enabling you to:
- Integrate real world data from internal and third-party sources, including point-of-care systems, electronic medical records, claims, third-party data providers and more.
- Rapidly build patient cohorts for analysis.
- Predict patient outcomes to optimize clinical pathways.
Toward the Horizon: How COVID-19 Is Accelerating Innovation in Pharmaceutical and Life Sciences Analytics
Learn more about the role of RWE in helping life sciences companies respond to COVID-19 in this SAS Global Forum Executive Session.