Nursing Home Night Rounds
Confirm each morning whether every scheduled turn took place, how long each visit lasted and whether any resident went unvisited. Recurring gaps point to staffing or layout, not individual blame.
Care Video Review
Turn Care Footage Into Evidence You Can Act On
AI review of care service video follows each clip from start to finish and shows who did what, in what order, and where a required step was missed, with the time and frames for every finding. Video reasoning is scoped per site and validated in a pilot.
Example ReportSimulated 10 min Clip
- 00:48 Done
Caregiver checks the resident's wristband at the bedside.
Frames 1,440 to 1,520 - 02:18 Done
Caregiver prepares the bed and supplies.
Frames 4,140 to 4,260 - 04:12 Missed Step
Caregiver begins repositioning without first lowering the bed rail.
Frames 7,560 to 7,600 - 06:12 Done
Caregiver checks the skin at pressure points.
Frames 11,160 to 11,300 - 08:24 Done
Resident is left settled and comfortable.
Frames 15,120 to 15,240
Select a marker to read that finding.
Why Is Care Video Now a Compliance Problem?
In some markets, long-term care insurance programmes are moving towards paying per service, so every service needs a defined scope, prescribed steps and quality standards that someone can verify. Facilities have added cameras throughout their wards, but a camera only collects footage. Unless someone reviews it, it is stored data, not evidence that care was done properly.
How Much Footage Is There to Review?
Change the numbers to match your facility. The defaults are an example facility of 90 residents.
4,000
Clips a Day
667 h
Footage a Day
32 h
Review Time Available
20x
Speed Needed to Watch It All
At these speeds reviewers skim and skip, and attention fades over long monitoring. Adding reviewers does not fix it: tenfold coverage means a tenfold payroll.
How Does Video Reasoning Help?
Earlier systems detected single events, such as a person entering a zone. Video reasoning models follow a whole video and reconstruct what happened, in what order, and why.
Long Footage
Analyses videos of an hour or more and reports what happened at each timestamp.
Holds the Thread
Designed to keep track of who did what across a 5 to 20 minute clip. Measure this in your pilot.
Checkable Reasoning
Every finding points to the timestamp and frames that support it, so a person can check it in minutes.
What Does the Report Show?
The output reads like a trained auditor's report, not an alarm.
| Compare | Rule-Based Alarm | Video Reasoning Report |
|---|---|---|
| Output | Normal or abnormal | Positions, actions and steps in sequence |
| Order of Steps | Not assessed | Checked against the prescribed procedure |
| Proof | A label | Timestamp and supporting frames |
| In a Dispute | Hard to discuss | Can be checked, discussed and acted on |
How Can Review Cost Less?
AI review is only adopted when it costs less than the people it supports. Actual cost depends on volume and model pricing, so measure it in a pilot.
Cloud API
No hardware and pay per use, with prices across the industry falling. Good for a first pilot.
On-Premises Appliance
Local hardware, so after purchase running cost is mostly power and upkeep, and footage can stay in the building.
Tiered Screening
A lightweight model clears routine clips. Flagged clips go to deep review, and a random sample of cleared clips keeps checking the filter. This could cut total cost by around ten times.
- PilotRun in the cloud for about a month.
- MeasureCompare accuracy with a manually reviewed sample.
- CostCalculate the actual cost per clip.
- DecideStay in the cloud or move to local hardware.
Where Does It Apply?
These scenarios are illustrative examples of how the approach applies. They are not documented deployments. The settings share three traits: they are regulated, already on camera, and must be able to show what happened.
Medication Administration
Compare footage with the electronic medication record: identity check, doses at the recorded time, and whether the resident was watched taking them. A record with no matching interaction is flagged.
Feeding and Hydration
Check upright positioning, pace of feeding and monitoring after the meal, and record how much was actually eaten.
Kindergartens and Early Childhood
Confirm a staff member was present for the whole nap, check medication against consent records and support pick-up checks.
Rehabilitation Centres
Show whether a session was delivered as prescribed and for the billed time, and give therapists coaching material.
Postnatal Confinement Centres
Verify safe-sleep positioning, feeding intervals and hygiene, with records that can be shared with families.
Special Education Schools
An objective, time-stamped record helps protect students from mistreatment and staff from unfounded allegations.
Construction and Chemical Warehouses
Check permit-to-work steps, protective equipment throughout a task, lockout and tagout, and chemical handling order.
The AI Observes. It Does Not Judge.
The model spares the person who signs off from watching every hour of footage. It does not replace that person's judgement or move responsibility onto software.
Safeguards for Responsible Use
- Tell residents, families and staff, and obtain consent where required.
- Retain footage only as long as regulations require, with restricted access.
- Have a person review every finding that could lead to consequences.
- Regularly check accuracy, including false positives and false negatives.
- Give staff a clear way to contest a finding.
Benefits Beyond Compliance
- Repeated missed steps point to training or procedure.
- Clean records can help protect good caregivers from false complaints.
- Records that insurers and regulators can inspect.
- Families can receive summaries of verified care.
- Managers can plan shifts from where delays really occur.
Frequently Asked Questions
What is AI review of care service video?
It is a video reasoning model that follows a whole care clip and reports what happened, in what order, and whether the required steps were followed, with the timestamp and frames for each finding.
Does the AI decide if a caregiver did something wrong?
No. The AI observes and produces an evidence chain. Whether a finding warrants action, how serious it is and who is accountable are decisions for people.
Does footage have to leave the facility?
No. A facility can run the model on an on-premises appliance so footage stays in the building, or start with a cloud pilot where its privacy rules allow.
How can review cost come down?
Tiered screening uses a lightweight model on every clip and sends only unusual clips, plus a random sample of cleared clips, to the deep reasoning model. This could cut total review cost by around ten times, depending on the site.
What should a pilot measure?
Run for about a month, compare findings against a manually reviewed sample, count false positives and false negatives, and calculate the real cost per clip before committing further.
Where else does this apply?
Anywhere regulated, already on camera and required to show what happened, such as kindergartens, rehabilitation centres, special education, construction sites and chemical warehouses.
Plan a Pilot for Your Facility
Each site is scoped by enquiry, starting with your care procedures, camera coverage and privacy obligations.