Sutter Health is scaling its use of Flosonics Medical’s wearable ultrasound device, which helps clinicians quickly and noninvasively assess fluid responsiveness. The tool’s ease of use has driven rapid adoption, said Dr. John Skovran, an emergency department medical director at Sutter.
While clinical collaboration platforms have already made a significant impact, there is still much work to be done to ensure that every hospital has the tools and protocols in place to respond to sepsis with the urgency it demands.
In an interview, Munich Re Specialty Senior Vice President Jim Craig talked about the risk that accompanies innovation and the important role that insurers play.
A third health system has started using Cytovale’s early sepsis detection test. Froedtert & the Medical College of Wisconsin Health Network announced its plans to deploy the diagnostic test this week.
Cytovale, a San Francisco-based medical diagnostics company, raised $84 million in Series C funds to advance the commercialization of its diagnostic test for early sepsis detection. Using standard blood draws, the test provides results in under 10 minutes. It is meant to detect sepsis in patients who present to hospital emergency departments.
Executives from Geisinger and UNC Health discussed the most impactful ways they have deployed predictive AI across their health systems during a recent virtual panel. At Geisinger, these predictive algorithms are reducing avoidable emergency department admissions, and at UNC, they are helping to identify sepsis before it becomes severe.
Prenosis is aiming for FDA clearance this year for a diagnostic tool for sepsis, a condition that kills millions of people each year.
CEO and neuroscientist Dr. Iftach Dolev on how the new device can bring a powerful tool to psychiatrists and neurologists alike.
The New Jersey-based health system initially partnered with Google in 2019. It has now migrated to Google Workspace, providing thousands of Chrome OS devices to remote workers, and is using Google Cloud AI capabilities to detect diseases like breast cancer and Covid-19.
Utilizing POC testing for sepsis is a pragmatic solution for risk-stratification of new patients, helping physicians to prioritize those for treatment based on the severity of their condition.
In an analysis of Epic’s sepsis model, researchers at the University of Michigan found that it performed “substantially worse” than what the developer reported. According to their analysis, it didn’t detect many undiagnosed sepsis cases, but still gave alerts for one in five hospitalized patients.
In the coming years, clinicians will be presented with a larger and more capable toolbox to aid in the diagnosis of sepsis, directly overcoming the drawbacks of culture-based diagnostics.
AI-native tax firm Gelt combines top human tax experts with AI to help physicians and healthcare practices use data-driven tax strategies to lower liabilities, improve profitability, and future-proof their finances.
Harvard’s Wyss Institute and VC firm Miraki Innovation have created a joint venture BOA Biomedical, which is developing a device that could diagnose and treat infectious diseases.
A report from ECRI Institute outlined the 10 biggest patient safety concerns, and diagnostic errors and improper management of test results in EHRs topped the list.
The Israeli startup's analytics platform relies on a hospital's data set and seeks to identify potential complications like sepsis in ICU patients.
A big data, machine learning-based system could analyze the profiles of patients who have suffered from sepsis and build a profile that would show the specific data readings for each data point, alone and as they interact with other data points.
St. Augustine, Florida-based Flagler Hospital used Ayasdi's artificial intelligence technology to take on its clinical variation problem, specifically within the realms of pneumonia and sepsis.