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.
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
Prenosis is aiming for FDA clearance this year for a diagnostic tool for sepsis, a condition that kills millions of people each year.
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.
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
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.
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.
We will highlight Build My Health's revenue practice management tools, which could help physician practices add up to $250,000 to their practices.
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.
According to a Frost & Sullivan analysis, adverse patient safety events cost the U.S. and European healthcare systems $317.93 billion in 2016. By 2022, the analysis estimates that amount will rise to $383.7 billion.
T2 Biosystems’ novel MRI-based platform for diagnosing invasive candida infections is fast and accurate. Does that automatically translate to lower hospital costs?
The Centers for Medicare & Medicaid Services began requiring hospitals in 2015 to measure and report on their sepsis treatment efforts.