Problem Statement:
Our population is aging rapidly, with the baby-boomer generation entering their mid-seventies, and a looming pandemic of dementia and Alzheimer's is becoming a growing concern. The healthcare system is under increasing strain due to the financial burden and a shortage of trained caregivers. However, there's hope on the horizon as machine learning (ML) and artificial intelligence (AI) are poised to play a pivotal role in finding solutions.
To effectively harness AI/ML, we need dedicated research, robust data collection, insightful analytics, well-trained caregivers, and informed family members. These solutions must alleviate the burden on caregivers, simplify processes, embrace automation, and seamlessly integrate with the Internet of Things (IoT) and mobile technologies.
Insight Living is a company that specializes in developing and managing independent living, assisted living, and memory care communities across multiple states. They prioritize operational excellence, resident outcomes, family engagement, workforce stability, and financial health.
To address their unique needs, Insight Living requires integrated solutions that leverage operational and diagnostic data to enhance the effectiveness of their care staff and engage families more effectively. Unfortunately, the market for senior living software solutions is fragmented and lacks seamless integration. Many individual solution providers promise integration but often become trapped in building proprietary data silos for their internal purposes.
Insight Living's managed communities utilize various senior living solutions such as Eldermark, Yardi, or PointClickCare, which serve as specialized CRM solutions. Additionally, they require systems to manage visitors, meals, activities, facility maintenance, and a growing array of IoT solutions for fall prevention, alarms, and notifications.
True operational excellence necessitates analytics across all these systems. However, collecting data for ML and AI should not be the exclusive domain of one proprietary "data hugger." Instead, an overarching data fabric is needed. This data fabric should seamlessly integrate with mobile applications and IoT solutions, fostering an open environment for rapid and secure integrations, enabling self-service analytics, offering effective AI tools, and automating governance and compliance.
Crucially, the data fabric should also effectively integrate with IoT solutions, create a secure and compliant feedback loop for external AI, and collect data from caregivers, residents, and family members to drive innovation in senior care.
