Analytics
The university's COVID-19 telemedicine clinic plans to apply machine learning algorithms to data from patients' vital signs, health behavior and self-reported symptoms.
The database will be provided to medical professionals for free through all mobile or desktop web browsers.
A drop in blood pressure can be hard to predict using standard clinical measurements such as heart rate or cardiac output – but experts say a new AI tool could give clinicians a valuable 15-minute lead time.
CEO Dave Lareau explains how Medicomp made early coronavirus-specific changes to its database and AI engine as the pandemic took hold in February – and has continued to innovate since then.
Working Well, designed to support evolving clinical protocols, enables contact tracing and can be configured to organizations' own specific back-to-work needs.
Dr. Nathalie Bloch of the ARC Innovation Center at Sheba Medical Center, Israel, discusses the use of AI in dealing with COVID-19 patients, among various other innovative tools, in this episode of The Alessi Agenda.
The collaboration aims to help health systems manage resource allocation and offer situational awareness for facilities as they open up and reschedule delayed surgeries and other procedures.
By using real-world patient information, the agency hopes to research population health trends and medication efficacy.