Alice Chambers |
Sayvant’s generative AI solution is saving 50,000 hours of emergency clinician charting time.
Sayvant transcribes conversations between clinicians and patients in near-real time and in more than 30 languages. The solution, built on Microsoft Azure OpenAI Service, then creates charts for healthcare providers to review, along with personalised discharge instructions.
It has been adopted by 70 sites since the private beta app launch in summer 2024 and has had more than 30,000 shifts completed, reducing charting time for emergency providers from 10 minutes to less than 90 seconds per patient (85 per cent). Extra one-on-one time with patients and clear discharge instructions has led to a 40 per cent reduction in discharge delays at one site, reducing patient wait time.
“We’re building the highest-performing, secure clinical documentation solution that meets the demands of acute care settings,” said Justin Mardjui, CEO of Sayvant. “Microsoft is the preferred cloud vendor for a healthcare enterprise leader, and choosing Azure for Sayvant was a natural decision. We can do everything from accessing pay-as-you-go services for Azure OpenAI models to renting graphics processing units to self-host our own models. This allows us flexibility to customise and build quickly.”
Sayvant will continue to develop and partner with more healthcare providers and clinicians.
“We’re building Sayvant with input from experts in the field so that we can really validate the impact that we are having,” said Mardjuki. “As we expand the number of sites, clinicians and patients that we support every day, we’re excited about deepening our AI investments to ensure that we continue to improve the speed, accuracy and quality of our acute care documentation output.”