Executive Webinar · Free to Attend

AI in Healthcare: Where the Needle is Actually Moving

A candid, high-signal conversation for healthcare leaders, administrators, and investors on what AI is genuinely delivering in care delivery today — and what's next. Back by popular demand, with two new sessions.

Oct28

Wednesday, October 28, 2026

10:00 – 11:00 AM ET · Virtual Conference

Dec11

Friday, December 11, 2026

10:00 – 11:00 AM ET · Virtual Conference

Your Host

Host to be announced — plus a surprise guest. Stay tuned for details.

What we'll tackle

  • 1Where is AI delivering real, measurable gains in clinician productivity and care coordination?
  • 2Which use cases have moved beyond pilots to scaled, embedded impact?
  • 3How can healthcare administrators and investors position themselves ahead of the curve?
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Secure your spot

Free · Virtual (Zoom) · Host TBD, plus a surprise guest

Can't attend live? Register anyway and we'll send you the recording.

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October 28 or December 11 · 10:00–11:00 AM ET · Free

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Missed Our Last Session?

Webinar Recap — August 28, 2026

Rui Cao of GrowXcelerate and Rong Parnas of Technovative AI spent an hour with healthcare leaders, administrators, and investors. The topic: where AI is genuinely delivering results in care delivery — and where the promise still runs ahead of the practice.

The session moved through four parts: the opportunity landscape, real case studies, a Q&A on adoption and ROI, and a live product demo. Here's the breakdown.

Questions we worked through

  • 1Where is AI delivering real, measurable gains in clinician productivity and care coordination?
  • 2Which use cases have moved beyond pilots to scaled, embedded impact?
  • 3How can healthcare administrators and investors position themselves ahead of the curve?

Key takeaways

  • The impact is concentrated, not broad — The clearest returns are in documentation, prior authorization, and care coordination. These are narrow, high-volume tasks — and AI removes hours of manual effort per clinician, per week.
  • Pilots stall without workflow ownership — The use cases that scaled had one thing in common: a named operational owner. They were also embedded directly in the EHR, not living in a separate app clinicians had to remember to open.
  • ROI is measurable when you define it upfront — Teams that set a baseline metric first — minutes per note, days in A/R, coordinator caseload — showed returns within a quarter. Teams that skipped this step struggled to justify renewal.
  • Positioning ahead of the curve — For administrators and investors, the advantage goes to organizations building data and governance foundations now. That groundwork lets them adopt the next wave of tools quickly, instead of starting from zero.
Want the recording?

We can share the session recording and demo notes with qualified healthcare leaders and investors. Reach out and we'll send it over.

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What We Covered Last Time

The August session followed the arc of AI in healthcare — from where the opportunity is, to what real deployments look like, to the questions leaders are working through. Expect a similar depth in the upcoming sessions.

01

Current State of AI in Healthcare

The opportunity landscape across clinical care, operations, revenue cycle, and patient engagement — and where AI is creating measurable impact today.

  • Where health systems typically see AI opportunities, mapped across clinical care, operations, revenue cycle, and patient engagement
  • Use case walkthrough: AI-powered incidental findings detection in radiology
02

Case Studies: From Pilots to Production

Real deployments and the outcomes they produced.

  • External referral tracking analytics — recovering out-of-network referral leakage
  • AI-powered nurse policy assistant at one of the largest hospital systems in the Southeast US
  • Real-world implementations at Northwestern Medicine, Mayo Clinic, and Cleveland Clinic
03

Q&A: Adoption, ROI, and Implementation

Participant questions on clinical adoption resistance, physician buy-in, and how AI gains translate to revenue.

04

Live Demo

AI-powered tools shown in action — documentation, clinical decision support, and workflow integration.