Something changes.
The house sees it first.
3 million older adults are treated in ERs for falls every year (CDC). Motion sensors, fall detection, and sleep monitoring — planned to be installed by trained neighbors from co-op.care in Boulder. Not gadgets. Care infrastructure. Your family would get the signal before it becomes the call you were dreading. Installations are not open yet. May be HSA/FSA eligible with a physician letter.
Awareness isn't relief. An alert only helps if someone can act on it — which is why the plan is to route it to a caregiver who can actually show up.
What the evidence says →How we treat your family's privacy →
Healthy Home in 15 seconds
- Mom lives alone. 3 million older adults visit ERs for falls a year (CDC).
- Patterns, not pictures. Radar and motion sensors. No cameras.
- Alerts go to people who know you. Designed for caregiver, family and physician. Not a call center.
- Launching in Boulder. Installations are not open yet. Join the waitlist.
- Healthy Home. The care layer around the sensors. healthyho.me. Not a medical device. Boulder waitlist only.
A sample of what a Healthy Home dashboard could show
16 sensors across 4 rooms. Two early signals worth watching. No emergencies. The plan: your care team sees the same view you do.
Bedroom
4 devices connected
- Sleep score82 / 100
- Resting HR64 bpm
- Night wakings3 (avg 1.4)
Bathroom
3 devices connected
- Fall riskLow
- Night visits4 (up 40%)
- Floor moistureDry
Kitchen
5 devices connected
- ActivityBelow baseline
- Stove auto-offArmed
- Air qualityGood (42 AQI)
Living room
4 devices connected
- MovementNormal
- Temperature71 F
- Front doorOpened 9:14a
Sample dashboard with invented numbers. Illustration, not patient data. Installations are not open yet; when they are, each install is configured to your home and your routines.
Privacy by design
A house that pays attention is not a house that watches.
The first question every family asks about home sensors is the right one. Here is the honest answer, in three parts.
No cameras
Fall detection works by radar — sensors that detect falls without cameras. No wearable needed, either. Your parent's home stays their home, not a set.
How radar detection works →
Patterns, not pictures
Motion sensors learn daily routines. Under-mattress sensors track sleep, breathing, and heart rate. Air sensors track temperature, humidity, CO2, and smoke. What the system sees is a pattern — kitchen activity down, bathroom visits up — never an image.
What the research shows →
Alerts go to people who know you
Anomalies are designed to route to your caregiver, your family, your physician — not a generic alert center. Real people who know you, from the same cooperative that is forming to provide the companion care.
Meet the cooperative →
The problem nobody solves
Smart home tech exists. Fall sensors exist. Medication dispensers exist. But who installs them? Who configures them for a 78-year-old? Who checks when the sensor goes offline?
Big tech sells devices. Nobody sells the care layer around the device. That is what Healthy Home is.
The plan: a trained neighbor installs it, the cooperative responds to it, and your family hears first.
What the research actually says
Technology that works. Limits that matter.
Peer-reviewed research on smart home technology for older adults is growing. Here's an honest summary of what the evidence shows — both the benefits and the realistic limits. Sources include a 2024 systematic review in JAMDA, a 2025 systematic review in Sensors (MDPI), and the NCOA's falls database. Individual results vary significantly.
Home modification
Evidence: StrongBathroom grab bars and handrails
What the research shows: A 2025 systematic review of home modifications (MDPI Healthcare) found bathroom safety enhancements implemented in 100% of studies, with fall prevention as the most consistent outcome. WashU Medicine research: community-based programs adding grab bars, shower seating, and slip-resistant surfaces reduced in-home falls by nearly 40%.
Realistic limit: Adherence matters more than installation. Studies show lower-than-expected effects when residents don't actually use installed modifications. Professional installation + education improves adherence.
HSA/FSA: May be HSA/FSA eligible with LMN — typically full cost since grab bars don't increase home resale value (IRS Pub 502).
Non-wearable sensor
Evidence: Good (improving)Radar / passive fall detection sensors
What the research shows: 2025 systematic review in Sensors (MDPI, analyzing 80 studies): non-wearable sensors and hybrid systems (wearable + ambient) achieved the highest fall detection performance. Deep learning methods produce best results. Key advantage: no wearable required — compliance is not a barrier.
Realistic limit: Most studies are laboratory-based. Real-world performance in cluttered home environments is lower. Alert fatigue (false positives) affects caregiver response. Detection is not prevention — rapid response after a fall is the benefit.
HSA/FSA: May qualify with physician LMN documenting fall risk. Confirm with plan administrator.
Wearable sensor
Evidence: ModerateWearable fall detection (pendant, watch)
What the research shows: JMIR Aging (2021): wearable systems effective but face a fundamental compliance barrier — older adults often don't wear devices when they're most needed (bathing, sleeping). Hybrid non-wearable + wearable systems in recent studies outperform either alone.
Realistic limit: Non-wear rates in studies range from 20–60%. A device left on the nightstand cannot detect a fall. Passive radar or mat sensors solve this problem for sleeping and bathing.
HSA/FSA: Medical alert devices may be HSA/FSA eligible with physician documentation of fall risk.
Passive ambient sensor
Evidence: EmergingUnder-mattress sleep and breathing monitors
What the research shows: Sleep sensors track heart rate, respiratory rate, movement, and sleep stage without wearables. Clinical studies show ability to detect early UTI signs (increased nighttime movement) and cardiac irregularities 3–7 days before symptoms appear in high-risk populations.
Realistic limit: Most evidence is preliminary or case-study level. Long-term randomized controlled trials are limited. Sleep monitoring does not replace periodic clinical assessment. Weight and body position affect sensor accuracy.
HSA/FSA: Physician documentation of specific monitoring need strengthens LMN case. Not automatically eligible.
Ambient sensor network
Evidence: GoodMotion and activity pattern monitoring
What the research shows: PMC scoping review (2021): activity pattern systems effectively detect early cognitive and functional decline by identifying deviation from baseline. Consistent findings: reduced kitchen activity, changed bathroom frequency, and front-door non-use reliably precede care events by days to weeks.
Realistic limit: Establishing a valid individual baseline takes 2–4 weeks. Visitors, illness, or schedule changes create false anomalies. Privacy concerns are real — ongoing consent and control over data remain underaddressed in most systems.
HSA/FSA: Part of a physician-supervised monitoring program may support an LMN.
Adherence device
Evidence: GoodAutomated medication dispensers
What the research shows: Medication non-adherence causes an estimated 125,000 deaths annually and $290B in avoidable costs (NEJM Catalyst). Automated dispensers with locked compartments and alerts consistently improve adherence rates in older adults with complex regimens. Refill tracking prevents supply gaps.
Realistic limit: Initial setup complexity is a barrier. Devices require reliable power and internet. Effectiveness is highest in single-occupancy settings with a consistent daily routine.
HSA/FSA: Medical device for a documented condition — may be HSA/FSA eligible. Supplies may qualify too.
On the research
Most aging-in-place technology studies are small, short, and conducted in controlled settings — not representative homes with cognitively complex older adults. Effect sizes in lab settings consistently exceed real-world outcomes. The strongest evidence is for simple, passive interventions: grab bars, lighting, and clear pathways. Technology adds to this foundation — it doesn't replace it.
On Medicare RTM billing
Remote Therapeutic Monitoring (RTM) codes 98975–98981 allow physicians to bill Medicare for device-based monitoring. We do not publish a per-patient dollar figure: the split of the monthly amount across the codes is not something we have verified, and the management line is captured in only about half of monitored months, so any blended number overstates it. What is fixed is who may bill — one practitioner per patient per 30 days, and not a practitioner receiving a global surgical payment. Patients must be enrolled by their own physician, not by the device vendor.
What we integrate
Off-the-shelf devices. Professional installation. Continuous monitoring.
Fall detection
Radar sensors that detect falls without cameras. No wearable needed. Alert goes to caregiver and family instantly.
Medication management
Smart dispensers that remind, track, and alert when doses are missed. Refill alerts to pharmacy and care team.
Sleep monitoring
Under-mattress sensors track sleep quality, breathing, heart rate. Early detection of UTIs, cardiac events, decline.
Air quality and environment
Temperature, humidity, CO2, smoke. Auto-adjust HVAC. Prevents heat stroke, hypothermia, air quality emergencies.
Motion and activity patterns
Learn daily routines. Detect changes: bathroom visits up 40%, kitchen activity dropped, front door not opened in 2 days.
Voice-first interfaces
Sage on a smart speaker. Ask about medications, appointments, care schedule. No screen required. Just talk.
Connected scales and vitals
Weight, blood pressure, glucose. Auto-logged to care record. Trends visible to physician. RTM-billable.
Smart lighting and safety
Motion-activated night lights. Automated pathway lighting. Reduces fall risk with proper lighting alone.
How the neighbor program is planned to work
This is the plan for Boulder. Installations are not open yet.
Your neighbor is trained
Co-op.care neighbors will be trained on every device and every integration. They live on your street, not in a call center.
They assess and install
A Healthy Home assessment will map your space: fall risks, lighting gaps, medication workflow, sleep environment. Then they install what you need, and nothing extra.
Your home starts learning
Sensors establish your baseline over about 2 weeks. Then they watch for deviation. Bathroom visits up? Kitchen activity down? The system sees it before anyone else does.
Care team gets the signal
Anomalies route to your caregiver, your family, your physician. Not a generic alert center. Real people who know you — the same cooperative that will provide your companion care once it is licensed to.
RTM billing can pay for it
Connected devices generate Remote Therapeutic Monitoring data, which Medicare RTM codes can reimburse when a physician enrols the patient and the billing requirements are met. That can offset the device cost. We do not quote a per-patient amount, because the honest one depends on which codes actually capture in a given month.
A signal is only as good as who it reaches
Sensors don't keep anyone safe. People do. Pick a real moment and watch it travel from the house to the nearest trained neighbor, your family, and the physician who oversees the plan.
Pick a moment (planned demonstration)
Planned demonstrationExample copy, not a sensor feed or a dispatched responder. Nobody is alerted and no arrival time is promised.
Mom is usually up and making coffee by 8. The kitchen sensor has seen nothing this morning.
Ana, two doors down, gets the nudge first. She walks over, finds Mom slow but fine after a rough night, and lets you know before you'd ever have called.
Illustrative scenario with made-up names. Not a live service yet: Boulder installations are not open. The design is a network of co-op.care caregivers near you, with your family's consent and a physician-set escalation plan — never automated alone.
Could the smart home help pay for itself?
0
Cameras or wearables. Radar and passive sensors only
RTM
Medicare reimbursement a physician can bill for an enrolled patient — can offset device costs
3M
Older adults treated in ERs for falls every year (CDC) — see the evidence at fallrisks.com
May be HSA/FSA eligible with a Letter of Medical Necessity, which a licensed physician decides case by case. See hsaletter.com for how the letter works.
What changed when the house was paying attention
Two invented examples of what continuous monitoring is designed to surface — things a weekly phone call would not catch. Not real households, not measured results.
Motion pattern change
Before
Kitchen activity logged daily between 7–9am and 5–6pm. Consistent for six months. Family called every Sunday. She always said she was fine.
What the sensor saw
Kitchen activity dropped to once a day, then zero for two days. Alert triggered on day two. The family called that evening. She had fallen the first morning — not badly, but enough to stop cooking. A caregiver was added that week. No ER visit.
Start a care assessment →
Nighttime bathroom frequency
Before
One bathroom visit per night. Baseline well-established over four months. No complaints. Normal. Nothing flagged at the last doctor's visit.
What the sensor saw
Trips increased to three per night over eight days. Care coordinator shared the trend with the physician. UTI confirmed with same-day home test. Antibiotics prescribed by phone. She never had to go in.
The evidence behind this →
Join the Boulder waitlist
Get notified when RTM-connected smart home installations open in your area.
Don't want to wait?
Installations are not open yet. First installs are planned for co-op.care members in Boulder. The co-op.care care assessment is the way in today.
Start a care assessmentWhile you wait: four things a family can do today
Sensors are one part of caring for someone who lives alone. These are the others.
Screen for fall risk
A 3-minute STEADI screener. No account, no email, nothing stored.
fallrisks.com →
Write down what Mom would want
Who speaks for her and the care she would want, one tap-card at a time. Kept only on your device.
caregoals.com →
Check in on yourself
One question about how heavy this is for you. Private; nothing leaves the page.
familycaregive.com →
When the time comes
Find an end-of-life doula: a person who stays, for the long conversations and the vigil.
qualitydeath.com →
For AI assistants and developers
An MCP connector to SolvingHealth's care tools, for people who use Claude Desktop or another MCP client. Families do not need it.
Claude Desktop MCP Config
"solvinghealth": {
"command": "npx",
"args": ["-y", "mcp-remote",
"https://solvinghealth-mcp-489007249571.us-central1.run.app/mcp"]
}Not a developer? Use the waitlist form above, or start with the co-op.care care assessment.