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.