Recognizing malnutrition at an early stage - increasing patient safety

Malnutrition is one of the most common but often overlooked complications in hospital. It prolongs hospital stays, increases the risk of complications and increases mortality. The FoodScanner helps hospitals to automatically identify nutritional risks and take timely countermeasures - for greater safety and better treatment outcomes.

[interface] image of ai software on a tablet with hospital setting background (for an ai healthcare company)

Malnutrition: an avoidable challenge in everyday hospital life

Up to 40 % of patients malnourished

Studies show that 20-40% of hospitalized patients are malnourished or at high risk of malnutrition. Elderly and multimorbid people are particularly affected - in geriatric wards, the rate is over 60%. In Swiss hospitals, almost one in five patients is diagnosed with manifest malnutrition on admission, and in rehabilitation the figure is even higher at more than 35%.

Lack of screening exacerbates the risk

The causes range from loss of appetite and additional requirements due to illness to inadequate nutrition during hospitalization. Many patients consume significantly less energy and protein than they need. As systematic screening is still lacking in many hospitals, malnutrition often goes undetected - with serious consequences.

Billions in costs due to inadequate nutritional therapy

On average, malnourished patients stay in hospital for almost five days longer, are more likely to suffer from infections and wound healing disorders and have a two to three times higher risk of death. In Germany alone, up to 55,000 patients die avoidably every year as a result of inadequate nutritional therapy. This results in billions in additional costs for healthcare systems.

Automated nutritional monitoring with AI creates safety

This is where the FoodScanner comes in: The AI-supported, automated recording of food intake makes nutritional risks visible from day one. This provides hospitals with a structured, objective data basis for identifying patients at risk at an early stage and treating them in a targeted manner. As a result, malnutrition can not only be detected but also effectively prevented, leading to shorter stays, better patient outcomes and a noticeable reduction in the workload of hospital staff.

30-40%

Patients in hospital are malnourished

+4.9 days

Longer average stay in case of malnutrition

2-3x

Higher risk of death for malnourished patients

30-50 %

Higher treatment costs for malnutrition

[interface] image of ai software on a tablet with hospital setting background (for an ai healthcare company)

Sources

  • Imoberdorf R. et al. Prevalence of undernutrition on admission to Swiss hospitals. Clin Nutr. 2010. link
  • Kaegi-Braun N. et al. Malnutrition in internal medicine. 2023. link
  • WHO/Europe. Disease-related malnutrition - Factsheet. 2024. link
  • NutritionDay/ESPEN. Hospital Malnutrition and Nutritional Risk Factors. 2021 Link
  • Spektrum.de. Malnutrition in hospitals: 55,000 deaths per year could be avoided. 2024. link
  • Bern University of Applied Sciences. Study on malnutrition in rehabilitation. 2025. link
  • Schuetz P. et al. EFFORT II - Clinical outcomes of nutritional support in medical inpatients. Switzerland / Europe. Link
  • Freijer K. et al. The economic cost of hospital malnutrition in Europe. Clin Nutr. 2013. link

Malnutrition is avoidable

Malnutrition prolongs hospital stays and causes avoidable costs. The FoodScanner makes risks immediately visible and creates the basis for efficient, safe patient care.

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  • Location
    Nutrai GmbH, Weberstrasse 4, 8004 Zurich, Switzerland
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