Health care-associated infection
(HAI) is one of the biggest clinical challenges that can cause life-threatening
complications to patients, particularly those in the acute care or critical
care settings. A survey conducted in 183 US hospitals with 11,282 patients
reveals that 542 of them (4.8%) had one or more HAI [1]. And the
annual costs for HAIs alone in the US can reach up to 28-45 billion USD [3].
Device-associated infections,
such as central-catheter–associated bloodstream infection and
ventilator-associated pneumonia, have traditionally been the focus of programs
to prevent HAIs, as it was reported to account for 25.6% of HAIs [1].
Another study shows that 74% of all immediate-threat-to-life declarations were
related to improperly sterilized or high-level disinfected equipment in 2016 [2].
Disinfection of medical
equipment plays a critical part in achieving a high level of clinical safety,
and could have evident influence over the outcomes of patient care. Caregivers
have a strict procedure to follow while cleaning the devices they use every
day, and these devices are required to be reliable, easy to clean, and of high
disinfectant tolerance.
Mindray incorporates the
streamlined, clean design and advanced technologies into all its devices to
ensure that the disinfection solutions can meet all hospital standards for
medical device cleaning, and protect both patients and caregivers from the risk
of infection. Here
let’s take a closer look at what can we do for better cleanliness.
The integration of the wide range of Mindray's equipment, including ventilators, patient monitors, ultrasound systems, anesthesia machines, surgical equipment and endoscopes, enables a greater synergy among the ICU and operating room in terms of device cleaning.
With the industry-leading functionality, excellent performance, and streamlined design, Mindray manages to help clinicians ensure an easy and reliable device disinfection process to minimize the chance of device-associated infections, creating a safe and clean environment for patients.
[3] Nuvials, X., et al. "Health-care associated infections. Patient characteristics and influence on the clinical outcome of patients admitted to ICU. Envin-Helics registry data." Intensive care medicine experimental 3.1 (2015): 1-2.
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