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Acoustic monitoring in care homes: how it works, what it hears, what it misses

Acoustic monitoring puts a sound sensor in each resident's room at night and alerts staff when a noise crosses a set level, or matches a type such as a thud or a cry. It hears noise, not silence, and on its own it does not detect falls.

Almost all the evidence below is British, and the two sleep studies are American. We found no Canadian study and no Canadian regulator guidance.

How does acoustic monitoring work?

Two main designs. Both run at night, and a person still decides whether to go in.

Threshold systems. The older design. CLB says the approach "has been around for more than two decades", and that when "any sound profile exceeds its individually set threshold, an alert is sent to a central station or forwarded to a mobile device" (CLB, accessed 2026-09-05). Each resident gets their own level. A loud snorer gets a higher threshold than a quiet sleeper.

Sound-class systems. These try to name the sound. Earzz says customers choose from a catalogue "currently hosting more than 20 sounds", listing Thud, Scream and Cough among them, and that notifications "are usually delivered within 5 seconds of the sound event once recognised although this may vary depending on network" (Earzz, accessed 2026-09-05). Ally says staff can "review sensor data, listen to audio samples, and assess whether residents need their assistance" (Ally, accessed 2026-09-05).

What can it hear?

A call for help. Crying or shouting. Someone getting out of bed. Anything loud enough to cross the line set for that room.

The case for it rests on sleep, not falls. Night checks wake people. In four nursing homes, noise and light changes from the ward environment and from nursing care were linked to 50% of waking episodes of four minutes or more among 118 incontinent residents, and "the major sources of all noise were traced to nursing staff" (Schnelle et al., J Am Geriatr Soc, 1993).

The SIESTA authors write that "nearly 40% of care home residents who are living with dementia also have symptoms of disturbed sleep" (Webster et al., 2020). They cite this as background from earlier work, and name no country. In their interviews, staff said daytime sleepiness "led to falls, missing medication, drinks, and meals".

One caution. A later randomized trial in eight nursing homes with 267 residents cut the two-minute intervals per night with peak noise above 50 decibels from 83 to 58. The authors still concluded that this "did not lead to significant improvements in the day sleep and most night sleep measures" (Schnelle et al., 1999). A quieter ward did not, by itself, mean better sleep.

What does it not hear?

Silent events. A slow slide from a chair to the floor. A resident who has not moved in hours. Someone leaving the room quietly at 2 a.m. None make much noise, so none reliably trigger an alert.

Accuracy, in a vendor's words. Earzz states its product "may not always be accurate or reliable in recognising sounds" and "should not be relied upon in high-risk or emergency situations" (Earzz, accessed 2026-09-05).

Alarm fatigue. In three English dementia homes, monitoring tools "generated frequent alarms that placed a burden upon staff" (Hall et al., Int J Nursing Studies, 2017).

What does the evidence show, and how strong is it?

The headline numbers come from a Care England report produced with the vendor Adaptive Care. It states that across six Quantum Care homes "nearly 94,000 physical night checks and over 8,000 staff hours were required over a three-month period under traditional models", and that after acoustic monitoring "routine room entries reduced by 90%". It reports a "74.5% falls reduction", of which 64.5% were true falls and 9% incidents thought to have been a fall that led to a 999 call out (999 is the UK emergency number; 911 in Canada). No home is named for that figure (Care England with Adaptive Care, 27 March 2026). These are claims, not peer-reviewed findings, and the page publishes no method. We did not retrieve the full PDF.

WCS Care says it began its trial in 2016 and that "within a year we evidenced a 34% reduction in night-time falls", plus a 55% reduction across days and nights (WCS Care, accessed 2026-09-05).

Vendor case studies are small and short. Ally's six-home pilot with NHS Dorset Integrated Care Board reports a 49.2% cut in total falls, but notes "one site showed an increase in total falls" (Ally Cares, accessed 2026-09-05). Earzz's Terrington Lodge pilot compares 13 falls at baseline with 2 over five weeks, with no control group (Earzz, accessed 2026-09-05).

For Canadian scale: 72,392 fall-related hospitalizations among people aged 65 or older in 2019/2020. Over 2015/2016 to 2019/2020, 52% of hospitalized falls happened in a household residence and 17% in a residential care facility, with no time-of-day breakdown (PHAC, 2024).

Is audio recorded, and who can hear it?

It depends on the vendor.

  • Replay, and possibly video. CLB says that with an alert "if available, a video connection can be made", and that "alert-triggering events can be replayed if required" (CLB, accessed 2026-09-05). Ask whether video is enabled in your home.
  • Audio samples and transcriptions. Ally's product privacy policy lists "audio signal data" and "transcriptions of audio data" (Ally Labs, accessed 2026-09-05).
  • Sounds, not speech. Earzz says it recognises "just sounds, NOT SPEECH" (Earzz, accessed 2026-09-05), and describes "no recordings, no microphones accessible by humans, and fully anonymised triggers" (Care England, Earzz post, 31 July 2025).

A bedroom microphone also captures staff, visitors and roommates. Several Canadian laws may apply.

Ask the home's privacy officer which one applies.

How does it compare with other room sensors?

SensorWhat it observesWhat it misses
Acoustic monitoringSounds above a threshold, or named sound typesSilent events; may capture speech, audio samples or transcripts, by vendor
Bed sensorWeight leaving the bedAnything after the resident is up
PIR motion sensorMovement in a zoneWhether a still person is present
Camera with live feedWhatever the lens seesLittle visually; the sharpest privacy issue
Camera-free radar presence sensorPresence, movement, prolonged stillness, prolonged inactivitySounds, falls, breathing

Sources for the acoustic row are above. The other rows describe these sensor types in general, not any vendor.

What should you ask before buying?

  • How is resident consent handled, including substitute decision-makers?
  • What is stored, for how long, and in which country?
  • Is there Canadian support and hosting? We checked the public websites of CLB, Ally and Earzz on 2026-09-05, and none states Canadian availability, hosting or support.

Frequently asked questions

Does acoustic monitoring record residents' conversations?

It depends on the product. Read the privacy policy, not the brochure.

Can acoustic monitoring prevent falls?

Not directly. Every fall reduction above comes from a vendor case study or a vendor-partnered report, and one pilot site saw falls rise.

Where WalledCare fits

Acoustic monitoring asks whether a resident is making a sound that needs a person. WalledCare asks a different question. It is a camera-free, microphone-free radar presence sensor reporting presence, movement, prolonged stillness and prolonged inactivity, room by room. Nothing said in the room is captured or stored.

The signal is different in kind: a room with no presence since 2 a.m., or prolonged stillness. Prolonged stillness is not fall detection, and WalledCare cannot tell you why someone is still. It does not detect falls, hear a shout or a cough, measure breathing, or work as a medical device, and it cannot replace a call bell or staff judgement. See how WalledCare works.

This article is general information, not medical or legal advice. In an emergency, call 911.

Sources

Where a page carries no publication date, it is marked undated and the access date is given. The pages with no date found are CLB, the Ally home page, the Ally Dorset case study, the Ally product privacy policy, Earzz Sounds recognised, the Earzz ArmsCare case study, and WCS Care.

  1. Modernising Night-Time Care: Fewer Falls, Better Sleep, Smarter Care — Care England with Adaptive Care (27 March 2026). https://www.careengland.org.uk/modernising-night-time-care/
  2. Night-time acoustic monitoring – a better night's sleep — WCS Care (undated; accessed 2026-09-05). https://www.wcs-care.co.uk/innovation/night-time-acoustic-monitoring-a-better-nights-sleep/
  3. CLB Acoustic Monitoring — How Acoustic Monitoring Works (undated; accessed 2026-09-05). https://clb.care/?lang=us
  4. Ally Cares — home page (undated; accessed 2026-09-05). https://www.allycares.com/
  5. Ally Labs Product Privacy Policy (undated; accessed 2026-09-05). https://www.allycares.com/privacy/product-privacy-policy/
  6. Case study: Dorset ICB night-time safety with acoustic monitoring — Ally Cares (undated; accessed 2026-09-05). https://www.allycares.com/case-study-dorset-icb-night-time-safety-acoustic-monitoring/
  7. Earzz — Sounds recognised (undated; accessed 2026-09-05). https://www.earzz.com/sounds-recognised
  8. ArmsCare fall prevention case study — Earzz (undated; accessed 2026-09-05). https://www.earzz.com/armscare-fall-prevention-case-study
  9. Data Privacy in Healthcare Tech: Why Non-Intrusive Monitoring Matters — Care England (Earzz) (31 July 2025). https://www.careengland.org.uk/monitoring-privacy-matters/
  10. The nighttime environment, incontinence care, and sleep disruption in nursing homes — Schnelle et al., J Am Geriatr Soc (1993). https://pubmed.ncbi.nlm.nih.gov/8409176/
  11. The nursing home at night: effects of an intervention on noise, light, and sleep — Schnelle et al., J Am Geriatr Soc (1999). https://pubmed.ncbi.nlm.nih.gov/10203118/
  12. Implementing monitoring technologies in care homes for people with dementia — Hall et al., International Journal of Nursing Studies (2017). https://doi.org/10.1016/j.ijnurstu.2017.04.008
  13. The impact of sleep disturbances on care home residents with dementia: the SIESTA qualitative study — Webster et al., International Psychogeriatrics (2020). https://doi.org/10.1017/s1041610220000642
  14. Surveillance Report on Falls Among Older Adults in Canada — Public Health Agency of Canada (page last modified 2024-02-20). https://www.canada.ca/en/public-health/services/publications/healthy-living/surveillance-report-falls-older-adults-canada.html
  15. PIPEDA fair information principles — Office of the Privacy Commissioner of Canada (page last modified 2025-05-29). https://www.priv.gc.ca/en/privacy-topics/privacy-laws-in-canada/the-personal-information-protection-and-electronic-documents-act-pipeda/p_principle/
  16. Personal Information Protection Act, S.B.C. 2003, c. 63 — BC Laws (2003). https://www.bclaws.gov.bc.ca/civix/document/id/complete/statreg/03063_01
  17. Health Information Act — Government of Alberta (accessed 2026-09-05). https://www.alberta.ca/health-information-act
Published Last reviewed By Moneli Automation editorialNext review 5 March 2027