Empowering Better Care: AI and Discreet Monitoring Are Transforming Senior Living

As healthcare shifts toward proactive, person-centered models, AI-powered discreet monitoring systems are revolutionizing senior living by enhancing safety, well-being, and daily care. Integrating AI not only improves health outcomes but also revolutionizes the way senior living communities approach safety, well-being, and daily care.

AI is most effective when it provides insights that enhance processes, streamline solutions, and generally make life easier. Finding a solution that is a good fit requires patience, as senior care communities grapple with fragmented data (often stored on different platforms), systems that don’t integrate, and, occasionally, team member reluctance to change. 

The Data Dilemma in Senior Care

Providing high-quality care for older adults means navigating a complex and disconnected data environment. For caregivers and administrators, making sense of all the information, let alone acting on it in real time, is a formidable challenge. It’s not just about access to data; it’s about integrating, interpreting, and applying it to improve care. At the heart of integrating AI is the desire to enhance resident care with AI-driven insights. 

Through normalization, analysis, and predictive modeling, AI can synthesize complex and disparate data streams into meaningful and actionable insights. It’s not just collecting information—it’s turning information into better care.

Amba: Seamless Monitoring, Intelligent Insights

Amba, an AI-driven platform that combines passive sensor technology with real-time analytics and predictive insight, was conceived to empower caregivers with better information to help improve resident care. Amba’s approach is rooted in discreet monitoring that is simple to implement. In partnership with forward-thinking care organizations like AgeWellSolvere and Simpson Communities, Amba is setting a new standard for intelligent, unobtrusive, and impactful elder care. 

Using non-invasive passive sensors, Amba collects information from discreet devices around the home, including sleep mats, motion sensors, and door sensors. These devices send caregivers real-time health, safety, and wellness data, delivering actionable notifications and alerts tailored to each resident’s personalized care plan.​ 

There are no cameras, wearables, or buttons—residents don’t have to change their routines, and their privacy is respected..

From this data, Amba analyzes the information according to the specific requirements and settings for each resident. Care staff receive notifications and can see reports on their devices. This information enables caregivers to predict issues before they escalate into crises, understand trends in real-time, and make critical information accessible across clinical, caregiving, and administrative teams. 

For example, subtle shifts in nighttime behavior might indicate the early onset of a urinary tract infection. A change in breathing patterns could suggest a developing respiratory issue. With Amba, caregivers are alerted early, often before symptoms escalate.

Amba’s technology is designed to empower individuals to live independently while receiving the proactive care they deserve.

According to the National Library of Medicine, the impacts of falls in senior communities extend not only to the individual but also affect families and the broader community. Injury from a fall also imposes a heavy financial burden on patients and their families. Predicting a fall before it occurs, in addition to prevention, alerts care teams of potential issues before they escalate. This can reduce the need for emergency interventions and boost both productivity and satisfaction.

Senior living communities strive to ensure that residents are well cared for, their needs are met, and that every effort is made to minimize the risk of injury or illness. Using Amba’s AI-driven insights helps to provide better care:

• Fall Reduction: Minimizing incidents, ensuring safety, and peace of mind
• Early Infection Detection: Address infections before escalation
• Fewer Hospitalizations: Proactive interventions reduce admissions
• Better Incident Management: Supported by better information
• Sleep Pattern Monitoring: Track changes and adjust care plans
• Optimized Pharmacological Intervention: Ensure timely interventions for improved outcomes with the right medications

Real-World Success: AgeWellSolvere and Simpson Communities

Amba’s impact isn’t theoretical. At AgeWellSolvere, which operates over 35 communities, the platform delivered concrete results:

• 64% reduction in falls between June 2024 and January 2025
• Over 5,500 minutes of clinical data per resident monthly
• Significant reduction in hospitalizations due to proactive alerts (Simpson had zero hospitalizations during the pilot period)
• Over 80% reduction in pharmacological strategies, reducing overmedication at Simpson’s Jenner’s Pond community

Simpson’s Story: From Pilots to Powerful Change

Simpson Communities, a Pennsylvania-based retirement system with a long tradition of innovation in senior care, found powerful results when it piloted Amba.

After a six-month pilot of Amba at Simpson’s Jenner’s Pond Life Plan Community, hospitalizations dropped to 0% in July during the pilot.

• Psychotropic prescriptions were reduced by 81%, replaced by non-pharmacological care strategies
• Falls were reduced by 67%, a testament to early detection and intervention

Dr. Carol McKinley, Simpson president and CEO, notes that as a result of these findings, they are now rolling out Amba to Simpson House and Simpson Meadows. “Our nurse administrator told us how useful the sleep pattern monitoring was. It helps care teams detect changes in patterns, which could be an indicator of a greater issue.”

In addition to the data showing improved care, senior living communities are realizing other benefits:

Caregiver satisfaction: Happy teams deliver better care

Team involvement: Engage everyone involved early (and continuously)

Engage families and residents: They will believe in your mission

Embrace change: Be flexible and collaborative and keep learning

Three Ways AI is Driving Senior Living Forward

As these examples show, AI is doing far more than automating tasks—it’s becoming a strategic enabler of better care. Specifically, it is helping operators:

1. Predict Issues Before They Become Crises
   By continuously analyzing subtle physiological and behavioral data, AI can detect patterns that precede serious conditions, such as falls, infections, or sleep apnea, and alert staff early enough to intervene.
2. Deliver Real-Time Operational Awareness

Communities no longer have to rely on sporadic charting or guesswork. AI systems like Amba offer a real-time window into what’s happening across resident populations, enabling better oversight and coordination.

1. Make Complex Information Accessible
   Whether it’s a nurse on a night shift, an administrator reviewing care plans, or a family member looking for updates, AI turns mountains of data into clear, contextual, and user-friendly summaries.

The Future is Discreet—and Data-Driven

The examples show that transformation is about quietly empowering caregivers with the insight to act sooner, support better, and ensure residents can live with as much independence and safety as possible.

For communities seeking to improve outcomes, differentiate their services, and scale their impact, the time to embrace AI is now.