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Data-driven infection prevention and control

91% accuracy for symptom detection

Save time and reduce workload:
One-click reports and real-time data

 

Support your ICP & hygiene management:
Use objective data to guide your decisions

 

Protect patients and colleagues:
Better results through targeted recommendations

 

Be well prepared for audits:
Convincing reports for internal and external uses

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Estimated cost savings

This case study is based on a Swiss mid-sized hospital with:

3'500 employees

23'500 inpatients / year

400 beds

The status quo:

The hospital spends CHF 365'000 per flu season on respiratory infections of staff and patients. This includes sick leave of critical personnel, excess treatment days due to hospital-acquired infections and isolation measures of infected patients.

How Resmonics AI can help:

The hospital can save CHF 197'000 with Resmonics AI due to:


> Fewer nosocomial infections
> Higher vaccination rates among staff
> Better utilization of patient beds
> Automated hygiene audits

 

Interested to learn more? 
Book your demo!

Technical and clinical product data

Higher symptom burden in hospital rooms with high vs. normal risk of infection 

Acute care hospital data based on 15'000+ monitored hours (4.5+ million datapoints). Highly significant differences: p<0.001.

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