Do bed alarms prevent falls in hospitals? Not on their own, according to the best available evidence. In a randomized study published in Annals of Internal Medicine, one hospital increased bed alarm use almost 36 times across 16 units and saw no drop in falls or fall-related injuries (UF Health, 2012). A newer trial in Melbourne reached a more mixed result. Nursing leaders are left with a hard question: keep the alarms, cut them, or replace them with something better.
Ambient vision AI is a monitoring approach that uses in-room sensors and computer vision to recognize movements that come before a fall, such as a patient sitting up or moving to the edge of the bed. VirtuSense's VSTOne platform runs this analysis on the device, so no patient video leaves the room. It needs no wearables and no pressure pads.
Key Takeaway: Bed alarms alone have not been shown to reduce hospital falls, but removing them has not been proven safe either. The problem is that most alarms sound late and often. Hospitals need earlier, more accurate detection that does not add noise for nurses.
The research says bed alarms have not been shown to reduce falls when used alone. Two studies, a decade apart, point to the same conclusion with an important caveat.
The 2012 randomized study. Researchers at Methodist Healthcare University Hospital assigned 16 units to promote bed alarm use or not. Alarm use was almost 36 times higher in the promoted units. Falls, fall-related injuries and restraint use did not decrease. The authors concluded that relying on alarms alone is unlikely to prevent falls, and that alarms may still have a role within a broader program.
The 2024 Melbourne trial. A stepped-wedge trial across 18 wards tested reducing or eliminating bed alarms (Haines et al., Innovation in Aging, 2024). The study could not show that reducing or removing alarms was as safe as high alarm use. It also found alarms were not better. Falls were 0.29 per 1,000 patient days higher with reduced use and 1.13 higher with no alarms, with wide margins of uncertainty. This is a conference abstract, so treat the findings as preliminary.
Taken together, the evidence does not support alarms as a stand-alone fall prevention strategy. It also does not show that simply taking them away is safe.
Bed alarms fall short because they usually react after movement has started, and they sound too often to be useful. Neither problem is fixed by turning the volume up.
Alarm volume also affects adoption. See Nurse Adoption of AI Monitoring: Why ROI Depends on It for why trust in alerts decides whether a technology works.
Not based on the current evidence. Removing alarms without a better detection layer carries unproven risk, and keeping them unchanged carries unproven benefit.
A practical approach for nursing leaders is to treat alarms as one component of a multicomponent fall program, not the whole plan. That means:
Ambient vision AI detects risky movement earlier than contact-based alarms and does not depend on a pad, a wearable or the patient's cooperation. The table below compares the main approaches.
| Approach | When does it alert? | Needs patient to wear or touch a device? | Main limitation |
|---|---|---|---|
| Bed and chair alarms | After weight shifts or leaves the surface | Yes (contact) | Late alerts; frequent false alarms |
| Wearables | After motion or a fall is detected on the body | Yes | Patients may remove or refuse them |
| Remote virtual sitters | When a remote person notices risk | No | Ongoing labor cost; video leaves the room |
| Ambient vision AI (VSTOne) | When movement suggests the patient is about to get up | No | Requires in-room sensor installation |
For a closer look at the virtual sitting comparison, read Virtual Sitting vs. Ambient Vision AI: A Buyer's Guide.
VirtuSense's VSTOne uses LiDAR and computer vision to detect movement that precedes a fall and alert staff in time to respond. All processing happens on the device. No patient data leaves the room, and there is no cloud transmission. Learn more in Is Your Patient Monitoring AI HIPAA Compliant?
Because VSTOne does not rely on pads or contact, there is nothing for a patient to remove and nothing for staff to reposition. VSTOne also supports pressure injury prevention on the same platform. Leading health systems using VirtuSense have reported returns of 4x or more on their investment, along with measurable reductions in falls, sitter costs and nurse alert fatigue. Results vary by facility.
Not on their own. A randomized study found that using bed alarms almost 36 times more did not reduce falls or fall-related injuries. Alarms may help as one part of a broader fall prevention program.
Many bed alarms sound after the patient has already started to move, and false alarms are common. Frequent non-actionable alerts can lead to alarm fatigue, so staff may respond more slowly or trust the system less.
The evidence does not yet show it is safe. A 2024 Melbourne trial could not show that reducing or eliminating alarms was as safe as high alarm use. Hospitals should pair any reduction with better detection and track falls per 1,000 patient days.
Ambient vision AI, such as VirtuSense's VSTOne, detects risky movement before a patient stands. It works without pads, wearables or patient cooperation. Processing happens on the device, so video does not leave the room.
Bed alarms have not earned their place as a stand-alone fall prevention tool, and nursing leaders should not simply keep or remove them without a plan. Earlier, more accurate detection protects patients and reduces noise for nurses. That is the case for ambient vision AI.
See how VSTOne detects fall risk earlier. Request a demo.