Kadambari Beelwar

The global landscape of healthcare has seen a significant rise in the number of surgeries performed annually. This increase is driven by several factors, including advancements in medical technology, which have made a broader range of surgical procedures safer and more accessible. Additionally, the aging global population, with its higher prevalence of chronic conditions requiring surgical intervention, has contributed to this surge. Countries with developing healthcare infrastructure are expanding their surgical capabilities, making surgeries more widely available and contributing to the global increase.
However, the increase in surgeries has also led to a higher likelihood of surgical site infections (SSIs), which pose a significant challenge in the healthcare sector. SSIs contribute to increased morbidity, extended hospital stays, and higher medical costs, affecting around 20% of all healthcare-associated infections. By 2050, the UN estimates that antimicrobial resistance could result in up to 10 million deaths annually. Truss Health addresses this critical issue with its AI-powered sensor fusion platform, designed to detect early signs of infection.
Platform enhances patient recovery and reduces morbidity by detecting surgical site infections early. The platform aggregates real-time data from various sensors, providing healthcare providers like doctors with critical insights for timely interventions, thereby reducing hospital stays and reducing financial costs associated with infections. This integrated approach not only improves patient outcomes but also offers substantial economic benefits to healthcare systems by minimizing the prevalence and impact of infections. This integrated approach positions Truss Health as a crucial player in proactive healthcare solutions, addressing the urgent need for early infection detection and management in the surgical landscape.