Webinar: The follow-up recommendation lifecycle — starting upstream in the workflow

Experts discuss emerging clinical documentation technologies and explore how the power of AI and structured data can streamline reporting so you capture the essential information easily and automatically. 

Attendees will learn: 

• How to streamline reporting with structured data and AI
• How Quantum Radiology tackles the follow-up recommendation lifecycle upstream in the workflow
• How to capture the essential information easily and automatically in the report for follow-up guideline adherence

This is part three in a three-part webinar series. 

Experts have shown that 10% of all imaging requires a follow-up recommendation and half are never followed up on. In this series, we will show how organizations can capitalize on these opportunities to improve outcomes, avoid malpractice and recover revenue.

Agenda:

• Monday, November 23 at 11 AM CST | Tackling failed follow-up: Two perspectives
  Learn more about part 1.
• Tuesday, December 1 at 11 AM CST | Capturing failed follow-ups: What this means for the patient and the practice
  Learn more about part 2.
• Monday, December 14 at 11 AM CST | The follow-up recommendation lifecycle: starting upstream in the workflow
   

Dr. Brian Kaineg
Board member and Head of Operations 
Quantum Radiology

Dr. Brian Kaineg graduated from the University of South Florida Medical School. He completed a diagnostic radiology residency and a neuroradiology fellowship at Emory University where he served as chief resident. He is currently a board-certified radiologist with a special interest in advanced CT and MRI applications in neuroradiology. He is an active member of the American College of Radiology, Radiological Society of North America, and American Society of Neuroradiology. Dr. Kaineg joined Quantum Radiology, P.C. in August 2007.

Kate Kovalenko
Director, Diagnostics AI and Reporting
Nuance Communications

Kate is responsible for the global commercial and development strategies of the PowerScribe diagnostic AI and reporting portfolio. She draws on her more than 15 years of healthcare technology product management experience specializing in radiology, interventional cardiology, and surgery solutions. Kate holds a Bachelor of Science in Industrial Management with a concentration in computer programming from Grove City University and an MBA with concentration in Healthcare Administration from Northeastern University.
 

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