HLTH: Driving Healthcare Innovation with Collaboration and AI
An interview with Rick Newell, Chief Transformation Officer of Vituity

The following is an excerpt from HLTH’s interview with Dr. Rick Newell, CEO of Inflect and Chief Transformation Officer of Vituity. You can find the full podcast on the HLTH website here.
Between 50-75% of a physician’s time is spent not taking care of the patient. It’s spent taking time of the computer, and we don’t believe that’s right. I didn’t go into medicine to take care of a computer, and none of my colleagues went into medicine to take care of a computer. The patients don’t expect me to be taking care of a computer when I’m in front of them.
Sayvant is a medical record documentation platform that leverage generative AI/LLMs to provide comprehensive medical record documentation. It ambiently listens to the physician patient interaction and documents it. Not a transcription, but it documents it like I would as a physician.
However, ambient listening is table stakes. Where Sayvant takes it a step further is it has a comprehensive differential diagnosis and comprehensive MDM, which is super important clinically. It captures quality measures relevant to that patient, and flags any that are missed for the physician at the point of the care.
It flags high risk presentations, diagnosis for CDS and risk mitigation while the patient is in front of me. it will capture and code the chart and be able to capture additional ancillaries for billing, and flag any missing documentation for me at the point of service. Of course, it has machine learning built in so it improves over time, and it’s HIPAA and SOC2 Type 2 certified.
What we’ve done at Inflect is bring the right network of collaborators to the table to make Sayvant successful, with hundreds of thousands of patients seen to date.
- What’s the workflow for the clinician?
We know that when technology is not adopted in healthcare, the #1 reason is because it doesn’t fit into the clinician workflow. Sayvant was built in concert with deep clinical expertise, so the product didn’t significantly disrupt current workflows, but actually fits into it. - What’s a quality chart? What are relevant quality measures?
Inflect brought dozens of experts to the Sayvant team from two CMS-approved QCDRs to the team to influence the buildout. - What are high risk presentations and diagnoses?
Sayvant engaged with experts from a medical malpractice company with decades of experience to understand how and when to correctly flag clinicians at the point of care. - What are the billing and coding requirements for acute care?
Sayvant engaged with dozens of experts from revenue cycle companies to understand how to satisfy RCM needs alongside clinical requirements. - What are the security requirements?
We know in healthcare security is king. Sayvant consulted with leading healthcare security data experts to ensure we built the infrastructure appropriately.
Related post
