How SAS Helps Improve Population Health
Integrate health and nonhealth data to guide whole person care, as well as community programs that reduce health disparities. Improve quality of care and health outcomes by integrating analytics within your 360-degree view of patients, members and clients. Gain insights at all levels – from individual care, to cohorts, to full populations – to inform policy for better communities. SAS enables you to expand access to care, improve health outcomes and increase patient safety.
- Analyze structured and unstructured clinical and operational data – including freeform notes and focus group transcripts – to uncover hidden insights on indications.
- Turn insight into evidence-based knowledge that can help you predict and improve outcomes.
- Use all data available to determine optimal treatment, focused on value-based care.
- Understand the clinical and nonclinical factors that affect readmissions.
- Avoid medication, surgical and other interaction errors through increased data sharing.
- Analyze diverse data sources to predict and medically investigate patient safety signals.
- Identify patients that have higher risk of infection to optimize discharge planning.
- Predict and prevent avoidable readmissions.
Whole person care
- Provide a more complete, accurate picture of client services and the impact on human and financial outcomes across health and nonhealth services.
- Understand overall community needs, as well as contextual factors that can become barriers to care.
- Forecast demand for services needed by high-risk populations, and measure program effectiveness
We’re working to understand how environmental factors can help predict who may be at risk, allow for quicker diagnoses, and encourage the development of more precise treatments. The modern statistical and machine learning methods, along with the intuitive data visualizations made possible by SAS, have been critical elements of our success to date. Jim Metcalf Chief Data Scientist Healthy Nevada Project.
How does a group of psychiatric centers ensure mental health patient safety during a global pandemic?
In just two weeks, SAS helped Copenhagen Regional Psychiatric Centers:
- Set up an automated dashboard that gives hospital management an overview of the most important data regarding COVID-19's impact on the care centers in order to:
- Get daily status updates on COVID-19 cases for both individual centers and the centers in total.
- Assess how the pandemic is affecting the centers' ability to provide psychiatric care.
- Automate the whole process of setting up the dashboard – from source data, through validation and transformation to the final daily updated COVID-19 dashboard – using functionality in the SAS Grid environment for data manipulation and automation.
How does a Canadian mental health institution advance mental health care using predictive analytics?
SAS helped Canada's Centre for Addiction and Mental Health :
- Adopt an enterprise analytics strategy to combine disparate tools, methodologies and processes into a single, cohesive and consistent environment for analytics.
- Explore how electronic health records could be used to improve clinical outcomes and streamline operations. For example:
- Analyzing and predicting emergency department activity to devise care models and process optimization projects to accommodate future needs.
- Using social determinant data captured at admission to optimize care for alternate level of care patients to ensure they are seamlessly moved into the right care setting at the appropriate time.
- Using data and analytics to secure government funding for a new bridging clinic for diverting emergency department traffic and providing a better care setting for certain patients.
How does an eastern Indian state with a population of more than 46 million combat COVID-19 and help keep citizens safe?
SAS helped the Government of Odisha develop a unified data portal that is used by multiple departments to:
- Closely monitor suspected COVID-19 cases, enforce social distancing, and increase the capacity of testing and medical treatment to deal with the crisis.
- Access the most recent key metrics and trends related to the pandemic using an interactive data visualization dashboard with more than 50 interactive charts, graphs and diagrams..
- Report on the volume of people affected by the pandemic at the most granular level to plan for relief operations and gauge compliance with critical standard operating procedures on movement, quarantining and testing of at-risk populations.
How is a landmark population health study helping the state of Nevada address some of its most complex health problems?
SAS is working with Renown Institute for Health Innovation on the Healthy Nevada Project, analyzing citizens' genetic, clinical, environmental and socioeconomic data to:
- Develop a health determinants platform that will surface population health risks from patient variables, such as gender, age, and personal or family health history.
- Analyze population health outcomes and their correlations to participant genetic information and varying environmental factors such as air and water quality.
- Understand how environmental factors can help predict who may be at risk, allow for quicker diagnoses and encourage the development of more precise treatments.