Intensive smART Care
Tube-related reflux and secretion may cause aspiration pneumonia (AP) and ventilator associated pneumonia (VAP). Both are dangerous complications unrelated to the original reason for hospitalization in the intensive care unit (ICU). These complications result in prolonged lengths of stay and higher risk of mortality. In order to minimize the risk, gastric reflux and saliva must be identified in real-time and treated immediately. Currently, this activity is done manually by ICU nurses and physicians, often missing time-sensitive actions that could minimize the likelihood of patient complications.
With ART MEDICAL’s platform, gastric reflux, secretion and urine outputs are identified automatically and treated immediately, either by automated procedure or by alerting the attending nurse or physician.
Discovering the natural history of the patient with the smART tubes platform
- 25% of ventilated ICU patients develop hospital acquired Ventilator Associated Pneumonia. 10% of those patients will not recover. ART MEDICAL platform and technology improve patient outcomes and increase the number of lives saved.
- More than 50% of ICU patients are provided with less than 80% of their prescribed feeding needs. There is as much as 50% inaccuracy in calculating the patient’s nutritional needs. ART MEDICAL platform optimizes feeding and prevents life-threatening conditions by leveraging data and implementing solutions in real time.
- Patient monitoring by staff is often performed manually by visual assessment, introducing a human error factor, adding risk of infection, and is time consuming. ART MEDICAL devices automate some of the manual labor and help to improve quality and safety of nursing care.
- 50% of patients admitted to an ICU whose stay last more than 24 hours get stage one Acute Kidney Injury (AKI). Their mortality is significantly higher and hospital stays are significantly longer. ART MEDICAL devices reduce risks of AKI with an early detection of the problem.
- Leveraging previously untapped data to detect and prevent life-threatening conditions by automating processes in real time.