The Mobility Monitor captures what used to be guesswork: sleep, independent mobility, bed-exit behavior, micro-activity — right at the bedside.
Care planning tailored to the individual. Fall prevention before anyone falls. Nursing time reclaimed by design — not by adding staff.
A contactless sensor unit beneath the mattress continuously captures movement, bed-exit behavior, sleep behavior and micro-activity. The moment someone leaves the bed, the situation is flagged — before anyone hits the floor.
Through the existing nurse-call system, the alert reaches the DECT phone or smartphone of the nurse on duty — pinpointing exactly what she needs to know: room 12, bed left, now. She is already on her way.
Meanwhile, two nurses review the live status of the floor: every patient at a glance, with status, sleep behavior, bed-exit patterns. The overview sparks the conversation — and the conversation turns into adjustments to the care plan.
Too few staff, too many tasks — both are real. Only one of them can still be solved today.
The margin is thin. Routine consumes what guideline-compliant nursing actually needs.
In Germany alone, some 1.8 million health-care professionals will be missing by 2035. Hiring more no longer works.
Technical assistance systems create nursing time — through targeted, needs-based care planning.
Mobility data complement clinical judgment — and reveal what happens between nursing rounds.
One sensor unit beneath the mattress. No body contact. No extra work for the nursing team.
Through the existing nurse-call system, the nurse on duty receives an alert — the moment someone leaves the bed, or when no relevant change of position occurs over a configurable interval. Exactly the two facts where seconds count.
How long the person stays in bed, how nighttime activity is distributed, how restful or restless — visible as a trend over days and weeks.
When, how often and in what pattern a person leaves the bed — as an individual profile.
Self-directed changes of position in bed — how often, how pronounced, how they shift over time.
Persistently high micro-activity / muscle tension can point to pain, sleep disturbances or an emerging delirium — and so supports early assessment.
One night. One patient. What the nursing team senses — as a visual timeline.
Adjust repositioning — manual repositioning every 3 hours is not effective here, since self-mobility was present until 02:00.
Reposition when it works — targeted between 04:00 and 05:00.
Robust nursing documentation — for assessments, relatives and interdisciplinary case reviews.
Four patient profiles. Four data patterns. Four nursing consequences — before risk becomes an incident.
Calm micro-activity. Clear getting-up pattern. No intervention needed.
No intervention. Nursing time flows to those who need it.
12 hours without a position change. Tolerance window exceeded. Risk goes unrecognised.
Adjust the repositioning plan. Pressure ulcer averted before it forms. For persistent risk: consider AMS.
Out of bed 85× in 24 hours. Highly fragmented, non-restorative sleep. Fall risk visible — before anyone falls.
Review fall-prevention measures. Check medication. Investigate the cause of restlessness.
Increased muscle tension. Above-average number of position changes. Indication of pain or delirium.
Pain assessment, delirium screening (CAM), medication check. Before decompensation.
Fall, pressure ulcer, delirium, pain — four complications that today are usually only recognised once the incident has occurred. With continuous mobility data they become visible before the incident. This is the basis of any serious incidence minimisation in inpatient care.
Every sensor feeds into the ward office. The nursing team goes to the right patient — not to the nearest door.
Instead of routine rounds: to where it counts.
Bed-edge alert in real time — before anyone falls.
What happened overnight is documented by morning.
Conventional sensor mats detect a bed exit on one side only — and only once the person touches the floor. The Mobility Monitor captures movement 360° around the bed.
Bed-edge or bed-exit alert — individually configurable. Straight through the nurse-call system. The nursing team arrives in time, not after the fall.
As long as patients shift on their own, the system stays quiet — no alarm clock. Only when self-movement stops for longer than the configured tolerance window (2–4 h, individual) does an alert reach the nursing team.
4 Interventions / Night — of which 3 unnecessary. The patient is woken multiple times, sleep quality declines, care becomes tied up.
1 Intervention / Night — exactly when self-mobility exceeds the tolerable duration. The patient sleeps through, care is targeted where it works.
More than 50 studies — with a documented reduction in fall and pressure ulcer incidence, and data-based indicators that can point to delirium, pain or sleep disturbances.
360° bed-exit detection warns early — before anyone falls, not after.
Repositioning as needed: step in only when independent mobility falls short.
Persistent nighttime restlessness as an objective signal — supporting early assessment, often before clinical symptoms are clear-cut.
Persistently elevated micro-activity / muscle tension flags possible pain that would otherwise go unnoticed — and supports the assessment.
Frequent interruptions, long waking phases, high nighttime activity — made visible and addressed in a targeted way.
Data only matter when they change what you do. Four areas where that happens.
Not a data burden — a layer of evidence. Across all five phases of the nursing process.
The same five phases. Four different profiles. Four different nursing consequences — data-driven instead of by guesswork.
Stable sleep, regular self-mobility — confirmed by data.
7-day profile shows regular nightly position changes under the patient's own power. Braden > 18 — objectively documented.
No current fall or pressure-ulcer risk. Low care complexity — backed by data.
Standard prophylaxis is sufficient. Mobilisation offer to maintain function. Six-monthly re-assessment.
Routine night checks reduced. Nursing time flows to patients with greater need. Sleep stays undisturbed.
Re-assessment confirms a low care level. The data trend evidences stability — any change would be visible immediately.
12h without a position change. No call light — risk unrecognised until the data reveals it.
Tolerance window of 2h repeatedly exceeded — despite a clinically unremarkable Braden 22. Micro-activity at baseline.
Risk of a pressure ulcer — objectively captured, before any skin manifestation.
Manual position change every 2h — or consider AMS. Goal: no skin redness.
Call light on exceedance — or AMS for a disoriented patient. Repositioning targeted, when it works.
Skin status documented. If it worsens: deploy AMS. Course of events evidenced by data — including for payers.
Out of bed 85×, 8 bed-edge alerts — one night. Visible before the fall.
85 attempts to get up/24h, clusters at night/in the morning. No deep sleep — heavily fragmented sleep rhythm.
Fall risk, insomnia. DD: delirium, pain, UTI, wandering.
Prophylactic toileting. Pain assessment, delirium screening, medication review. Request a GP visit.
On bed exit: nursing staff there in time — before the fall, without restraint. Cause clarified step by step: somatic first.
If fall risk is elevated: deploy fall prevention. Bed-exit frequency trended weekly. If not declining: deepen diagnostics, schedule a case review.
Consistently above threshold, 11.7 position changes/h — indication of acute decompensation, before clinical manifestation.
Micro-activity persistently high. Above-average number of position changes, no restorative sleep. Out of bed 5×.
Suspected hyperactive delirium or untreated pain.
Pain assessment, delirium screening, medication review. Lab: inflammatory markers, urinalysis, electrolytes. Involve the key contact person.
Intervention before decompensation — not only after a fall or aggression. Reduce stimuli, reorient. Pharmacological measures only as a backstop.
Micro-activity dropping below threshold? The measure is working. If it persists: specialist work-up, before-and-after comparison from the data.
From assessment to evaluation — every phase data-driven. Risk appraisal objective, nursing diagnosis substantiated, measures individual, effectiveness measurable. Care-level appraisals also become transparent — towards patients, relatives and payers.
Three triggers. Three time windows. Then: continue, extend or uninstall.
Admission of a new patient — nursing anamnesis and risk assessment in the first days.
Acute deterioration, fall event, disease flare‑up, medication change — reassess risk.
Standardized routine collection within the care assessment — objective data basis.
Sustained fall or pressure ulcer risk. The Mobility Monitor stays installed — continuous monitoring.
A repositioning plan or medication is adjusted. The Mobility Monitor stays a few more days to verify effectiveness.
No risk apparent, nursing measures unchanged. The Mobility Monitor is uninstalled and stands ready for the next case that needs it.
A few devices serve many patients — as a rotating assessment tool, not a permanent fixture. That is what makes it scalable even in large institutions.
Backed by more than ten years of research — including a multicenter RCT at the highest level of evidence (p = 0,034). Four pilot centers, four measured effects.
In the blinded phase, 27 % of patients spent more than four hours lying without relevant pressure-relieving movement — classic high-risk patterns. With the Mobility Monitor in the intervention phase: only 15 %.
In concrete terms: fall incidence from 5.37 % to 0 % (3 of 56 → 0 of 60), pressure ulcer incidence from 8.9 % to 0 % (5 of 56 → 0 of 60) — among patients with critical lying time.
Pressure-ulcer incidence fell from 4.0% to 1.4% — a reduction of around two thirds. Mean immobility time −35%.
215 position changes saved across 12 patients over 10 days — with improved care quality. Skin quality improved in 87.5% of at-risk patients. Fewer check rounds, more night-time rest.
For 22% of patients, night-time repositioning intervals were specifically adjusted. For 19%, medication was adjusted in coordination with the medical service. In the second half of implementation: no new pressure ulcers.
Further documented outcomes: Demenzwohngruppe Sunnegarte 79 % staff satisfaction (Wettstein et al. 2018) · Rosenberg Residenz Altdorf pressure ulcer incidence 0 %, cost reduction 85.905 € p. a. (Schulz et al. 2014) · multicenter RCT (Gattinger et al. 2016, FH St. Gallen): a significant improvement in sleep quality and reduction in fall incidence.
Data-based patient monitoring is not a recurring expense — it is strategic infrastructure. It pays for itself through four levers that show up in the year-end accounts.
Fewer unnecessary repositioning rounds, targeted nighttime interventions. The nursing time gained goes where it is needed — without new positions.
GVS Herdecke: 215 manual repositionings avoided across 12 patients in 10 days (−41 %).
Instead of spot observation — continuous, objective data on mobility and nursing effort. Both over- and under-provision become correctable on the evidence.
A solid basis for classifications, payer discussions and progress documentation — sound in both nursing and business terms.
Reduce fall and pressure ulcer incidence — and document care without gaps. An objective basis for quality management and care conversations.
CHUV Lausanne: a significant reduction in fall and pressure ulcer incidence documented. Universitätsklinikum Freiburg: pressure ulcer incidence cut by roughly two-thirds (n = 873).
Data-based nursing elevates the profession. Less assembly-line routine, more nursing time for human connection, more predictable night shifts.
Stadtspital Waid Zürich: staff turnover down 47 % — over the period of the MoMo rollout and the accompanying process changes. Sunnegarte: 79 % good job satisfaction.
From reacting to planning ahead. From estimating to documenting. From waking to protecting.
Risk patterns become visible before they turn into incidents. The nursing team acts prepared, not caught off guard.
Care-level assessment, progress documentation and family conversations rest on objective data — not on impressions.
Repositioning happens as needed. Those who are active themselves keep their sleep — and with it their well-being.
More than 50 studies and field studies confirm the value of data-based nursing solutions in long-term care.
More than 250 institutions across the DACH region use the Mobility Monitor. One voice that speaks for itself.
"From experience, I know that with the Mobility Monitor in use, we work more purposefully and that we initiate measures for patients in a way that better fits resources and actual need. Taken to its logical conclusion, the Mobility Monitor concept means that on certain wards we need a Mobility Monitor in every bed."
"Where we nurses once had to rely on our gut feeling, today the data from the Mobility Monitor help us interpret. The Mobility Monitor also helps us deploy nursing resources more precisely and only where they are needed. That frees up welcome capacity."
"We use the Mobility Monitor as an alternative to the call mat. It cannot be bypassed, it is invisible, and it does not bother the patients. The bed-edge alarm lets us be in the room while the patient is still sitting on the edge of the bed. That helps us prevent falls more effectively."
"With the Mobility Monitor we can observe situations that used to stay unclear and, with the insight gained, adjust therapy sensibly. Before, you could only see whether a patient was restless or not at the moment you walked into the room. Now we can review the whole night and find that he may have been restless only when I came into the room but otherwise slept perfectly well. In that case it makes no sense to change anything about the therapy."
"We rolled out the Mobility Monitor across every site in the group and had remarkable results. Nurses use it as an assessment instrument and rate it as very helpful. We started with one device per site; by now certain areas already run several devices. Thanks to the thorough introduction and support from compliant concept, the device gained acceptance as a professional nursing instrument."
"The Mobility Monitor can be integrated as a versatile aid into the various steps of the nursing process — for example, assessment, intervention planning or evaluation. The early experience shows that the measures taken — based on a targeted and reflective use of the MM — can lead to a meaningful improvement in patients' quality of life. Implementing the MM takes time and close support, because 'every aid is only as good as its user.'"
The Mobility Monitor is the foundation. As needs grow, you add matching modules — on the same platform, without switching systems.
Data-based risk detection. Continuous monitoring of sleep behaviour, self-mobility, getting-up patterns and micro-activity.
Anticipatory fall prophylaxis with 360° all-round protection. Bed-edge and bed-exit alerts — before the fall happens.
Automated, pain-free repositioning — even for patients with dementia who refuse manual position changes.
Good questions deserve open answers — before you decide, not after.
True — your team already does outstanding work. The Mobility Monitor does not question that; it gives them better tools: less routine, more time for what nursing is really about. The question is not whether your team can manage — but how it stays strong for the long haul.
An important question — especially in nursing. The answer is reassuringly simple: no cameras. No microphone. No movement profiles outside the bed. Only pressure signals beneath the mattress. Data stay in-house, MDR-certified, GDPR-compliant. It does not get more discreet than that.
Experience says yes. 83 % of nurses recommend the system after the pilot. The reason is the benefit to daily work: the Mobility Monitor enables objective, needs-based and individual care planning — instead of routine by the book. Training and onboarding are part of what we promise.
That is exactly the idea behind the Mobility Monitor — and exactly what we make visible in the needs-assessment conversation: where does your daily nursing run on guesswork today? Where does routine tie up the team? Which patients need more attention than you can give right now — and where would that time come from?
Not a sales pitch. A mirror. By the end, you will know whether it fits — and so will we.