Truss Health’s remote patient safety monitoring platform, Laso plays a crucial role in early detecting surgical site infections (SSIs) by leveraging AI technology to monitor patients’ health status and provide timely alerts to healthcare providers. We utilize various devices and sensors to collect data and transmit it securely for analysis.
Early detection of surgical site infections (SSI) following orthopedic surgeries like knee or hip arthroplasty allows for focused wound care, potentially avoiding more invasive treatments and reduces complications such as joint destruction or chronic pain.
A C-section, an e.g. of OB surgery, is a major surgical procedure, and complications like SSIs can hinder the mother's well-being during an already challenging postpartum period. Early detection helps preserve fertility of the mother and associated morbidity.
In abdominal surgeries, the primary goal is often to remove or address specific conditions, such as tumors or blockages. SSIs can compromise the success of the surgical procedure. Early detection helps preserve the intended surgical outcomes.
Detecting SSI early after cardiac surgery allows for prompt initiation of treatment. This can include antibiotic therapy that can effectively address the infection and prevent severe complications that may arise from untreated SSIs, such as sepsis.
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