Government Health Care Solutions
Analytics for Substance Use Disorder
Combat the opioid and overdose crises by identifying high-risk populations and developing effective response solutions for your community.
Fighting Substance Use Disorder With Analytics and Predictive Models From SAS
Substance use disorders are on the rise, leaving communities faced with the challenges of mitigating risk, preventing addiction and monitoring treatment programs. Success requires action at both the population and individual levels – and, even with opioid settlement funds allocated for these efforts, it's data-informed plans that will truly make a difference.
Substance Use Disorder Facts & Figures
108,000
Americans lost to overdoses in 2021
2x
Veterans are twice as likely to die from an accidental overdose
<10%
Incarcerated citizens who have access to treatment and recovery services
How SAS empowers communities to confront Substance Use Disorder
From developing predictive models that identify overdose risks to providing greater situational awareness through cross-sector data sharing, SAS® Viya® enables you to develop the right response solution to meet your community's needs.
Opioid Settlement Grant Fund & Outcome Management Solution
- Help organizations prioritize spending by applying prediction models and identifying factors that contribute to better outcomes.
- Forecast impact of interventions to improved outcomes in a community.
- Establish baseline metrics for outcome measurements to evaluate the effectiveness of interventions over time.
- Provide reports and visualizations for public transparency demonstrating how funds are being spent to bolster the public health and public safety response to substance use disorders to save lives.
Behavioral Health Treatment Analytics
- Proactively identify those in greatest need of behavioral health services, including both substance use disorder (SUD) and mental health care.
- Continuously monitor program performance and outcomes for on-going quality improvement.
- Use population health analysis to understand overall community needs, as well as contextual factors that can become barriers to care.
- Integrate health and non-health data to understand and predict individual and community SUD needs.
Public Health Predictive Analytics & Syndrome Surveillance
- Visualize a population-level view of the impact of substance use disorders on individuals and communities.
- Leverage predictive analytics and syndromic surveillance to anticipate the progression of the opioid epidemic.
- Integrate social, demographic, and economic factors influencing vulnerability to addiction.
- Use data and analytics to drive funding allocation and track the success of key initiatives.
Supervised Population Opioid Use Disorder Medication Assisted Treatment Analytics
- Utilize data and analytics to address the needs of persons with Opioid Use Disorder (OUD) who are involved in the criminal justice system through evidence-based programs and strategies.
- Provide data-driven visualizations into Medication Assisted Treatment (MAT) program effectiveness for incarcerated individuals with OUD.
- Evaluate the impact of MAT programs and policies by identifying gaps, improving outcomes, and reducing recidivism.
- Support evidence-based treatment programs and reentry services for persons with OUD within and transitioning out of the criminal justice system.
Public Safety Integrated Drug Awareness & Harm Reduction
- Integrate and visualize public safety and public health data to understand suspected opioid overdoses statewide.
- Surface illicit distribution of pharmaceutical and illicit drugs and support investigations to arrest and prosecute perpetrators.
- Leverage data to identify communities and specific demographics which are most impacted by drugs to more precisely and timely deploy treatment services.
- Support treatment utilizing data and analytics to identify individuals most at risk for an opioid overdose and prioritize them for treatment.
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
State and local law enforcement and health agencies are on the front lines of this epidemic and rely on data to make life-saving decisions.
