Empowering Workplace Flexibility for Substance Abuse Prevention: Leveraging Distant Surveillance Techniques
In a groundbreaking partnership, VeeOne Health, Social Mobile, and KORE have joined forces to combat the substance use disorder (SUD) crisis, particularly in rural areas where traditional solutions often fall short. The innovative CravAlert system, deployed in West Virginia, addresses the critical transition from treatment to community reintegration.
One of the key components of the CravAlert system is the VivaLink Biopatch, a wearable device designed for long battery life, reusability, and seamless Bluetooth connectivity. This wearable device monitors critical physiological endpoints such as heart rate, respiratory rate, heart rate variability, and skin temperature, ensuring consistent data collection and transmission even in less accessible rural settings.
To ensure data from the wearable reaches the analytics platform reliably, Social Mobile’s RHINO C6 device acts as a robust Android-based gateway. This durable, long-term available device has a lower total cost of ownership, making it suitable for clinical environments in rural areas where device replacement and maintenance resources can be scarce.
The system integrates real-time data analysis with peer recovery specialist interventions (PRSS) through predictive alerts. Machine learning algorithms have enhanced relapse prediction accuracy by 80%, enabling more effective interventions. This software-driven support complements the hardware by delivering timely interventions to patients at risk of relapse, providing a managed service layer that addresses connectivity interruptions or hardware issues by focusing on continuous care and engagement.
KORE's OmniSIM multi-network connectivity provides access to multiple carriers and ensures uninterrupted data transmission, even in remote rural areas where connectivity challenges, such as patchy network coverage and single-carrier dependency, can plague programs.
The partnership's efforts have yielded significant improvements. They have resulted in a 67% reduction in stress and anxiety alerts, a 20% decrease in repair and replacement needs, and a 25% reduction in operational costs compared to prior systems.
Dr. Raj Masih from the Potomac Highlands Guild noted that CravAlert has transformed how they address SUD relapse, providing a lifeline for patients in rural areas where traditional solutions fail. The West Virginia SUD study revealed significant hurdles, including hardware reliability issues with consumer-grade devices like those made by Apple or Samsung.
Looking ahead, potential expansions include integration with Medicaid to analyze cost-effectiveness on a broader scale, paving the way for widespread adoption and further innovation in healthcare technology. The partnership between VeeOne Health, Social Mobile, and KORE has been instrumental in supporting drug control policy in West Virginia, offering hope for those battling SUD in rural America.
[1] Source: https://www.korewireless.com/resources/case-studies/cravalert-system-reduces-relapse-rates-among-individuals-recovering-from-substance-use-disorder/
1) This groundbreaking partnership between VeeOne Health, Social Mobile, and KORE combines forces to tackle the substance use disorder crisis, focusing significantly on rural areas where traditional solutions often falter.
2) The CravAlert system, deployed in West Virginia, emphasizes the crucial phase from treatment to community reintegration, using advanced technology to bridge this gap.
3) One of the key components of CravAlert is the VivaLink Biopatch, a durable, reusable wearable device with long battery life and seamless Bluetooth connectivity, monitoring vital physiological data for uninterrupted transmission.
4) To guarantee data reliability, Social Mobile’s RHINO C6 device, an Android-based gateway, is utilized, offering a durable, long-term solution with a lower total cost of ownership suitable for rural clinical environments.
5) The system integrates real-time data analysis with predictive alerts, complemented by peer recovery specialist interventions. Machine learning algorithms have increased relapse prediction accuracy by 80%, delivering more effective interventions.
6) The alliance's work has demonstrated remarkable improvements, leading to a 67% reduction in stress and anxiety alerts, a 20% decrease in repair and replacement needs, and a 25% reduction in operational costs compared to preceding systems. This innovation in health-and-wellness technology offers hope for those fighting substance use disorder in rural America.
