The healthcare industry often grapples with the issues of staff burnout and talent shortages. These issues arise in trying to optimize medical staff while maintaining reasonable operating and administrative costs. In addition, the enormous mental burden on medical professionals to make accurate clinical decisions predicated on patient data exacerbates these difficulties. Etiometry, an AI-driven platform, promises to alleviate some of these challenges by providing a holistic overview of patient data either from the bedside or remotely. This platform empowers clinical staff by enabling them to confidently communicate their needs in high-acuity units using a data-driven approach.
Additionally, Etiometry facilitates the early detection of patient deterioration, enabling clinical teams to optimize the patient journey across the care spectrum, hence reducing hospital stay duration and addressing critical care unit overflow. Numerous ICUs worldwide use the platform, and it has demonstrated positive clinical outcomes such as decreased hospital lengths of stay, reduction in ICU readmissions, reduced time on mechanical ventilation and other invasive treatments, and diminished medical staff burnout.
Etiometry’s AI algorithms provide early warnings of clinical deterioration that can aid care teams in escalating and de-escalating care. The platform also automates specific hospital workflows or protocols. Shane Cooke, Etiometry’s CEO and President, prides in the company’s culture of pinpointing ways to optimize both clinical and operational workflows by gaining deeper insights into their client’s specific clinical situations.
Over the years, Etiometry’s platform has acquired nine FDA clearances and has supported more than 150 clinical studies. Notably, it offers unique insight into patient physiology to help clinical teams in enhancing quality and reducing costs. The platform utilizes vital data elements and real-time insights into patient physiology to replace the chaos usually prevalent in ICUs.
The platform also houses separate APIs such as the Quality Improvement App (QIA) that provide high-grade data for studies aimed at patient care improvement. The integrative nature of the platform enables effective patient care in high acuity settings, as it allows the fusion of considerable device data and EHR information.
A notable success story of the platform is its automation of an extubation readiness protocol, resulting in a 19% reduction in hospital length of stay and a 22% decrease in ventilation time. Etiometry plans to expand its waveform functionality and its automated clinical pathways to cover more disease states and patient populations. It also aims to enhance its EHR integration with more hospital systems and platforms by 2024.
