According to GlobalData, the machine learning approach will become part of the mainstream in the next few years and will be deployed in various areas. The Covid-19 pandemic might hasten this rapidly developing trend even further. Since the beginning of the Covid-19 pandemic, machine learning solutions saw a surge of applications in the most regulated fields, such as healthcare. Clew Medical, one of the companies pioneering in AI-powered predictive analysis for medical patients, has recently gained FDA emergency use authorisation for its predictive screening software on Covid-19 patients.
The emergency authorisation act has been approved for CLewICUServer and ClewICUnitor. These systems allow providers to record vital signs, and process flowsheets, medical assessments, and medication data in order to compute patient status indexes. Clew Medical technologies allow healthcare workers to measure and predict adult patients’ physiological condition within the next eight-hour window based on the aggregate statistical risk of hemodynamic instability.
This screening software is going to be used on patients in intensive care units (ICU) for diagnosing and helping to identify Covid-19 patients who are more likely to experience critical conditions, such as respiratory or hemodynamic problems. It also takes into account the patient’s clinical history and clinical judgement in order to give better diagnostic results. Clew Medical’s system is designed as decision support and notifying tool in order to help medical workers monitor patients more closely and identify trends in patients’ data that occur over time.
Automation has become a necessary and rapidly growing trend over the last decade. In the fight against the pandemic, the machine learning approach will become the most innovative and prominent tool designed to ease the strain on healthcare workers.
