Clinical AI for Acute Care
Enabling frontline teams to think clearly, improve patient outcomes, and document accurately
Sayvant improves acute care outcomes from triage to discharge
Relieve documentation burden
Keep patients front and center
Generate pre-visit summaries
Capture ambient speech in chaotic, multilingual environments
Translate complex decision making into defensible notes
Improve care delivery and consistency
Enhance clinical decisionmaking
Detect high-risk diagnoses before they’re missed
Guide working differentials and workups with evidence-backed insights
Surface documentation gaps impacting RCM, Quality, and Risk
Automate RCM + Quality extraction
Drive accuracy and cost savings at scale
Identify documentation gaps
Capture E/M, ICD-10, and CPT codes
Extract SEP-1 and MIPS quality measures
Proven in the nation’s best hospitals
100+
partner sites of care
(FSEDs to Level 1 Trauma Centers)
5%+
reduction in Time to Provider and Turnaround Time to Admit/Discharge
5%+
improvement in net new revenue within 6 months of launch
100%
of Medical Directors would recommend Sayvant to their peers
What acute care leaders are saying
Sayvant allows us to compress the feedback cycle between clinicians and operations, driving seamless adherence to RCM guidance with immediate results.
I’m having real conversations and making meaningful connections with patients. Sayvant allows me to focus on what matters most - the human side of medicine.
We found that Sayvant delivers a high quality service that improves chart quality at a fraction of the cost. We’re pleased to recommend Sayvant, a solution built by and for emergency physicians, to our affiliated groups.
Sayvant is a gamechanger. It allows us to truly capture the complexity of care we provided to a patient.
Sayvant takes a chaotic environment with rapidly changing information, and turns it into a linear and comprehensive chart, bringing order from the chaos.
Clinical AI for Acute Care
Enabling frontline teams to think clearly, improve patient outcomes, and document accurately
