Session ID: 
RCSS11

Machine Learning and Other Technology Redefining the Revenue Cycle

1:30pm - 2:10pm Monday, February 11
Orlando - Rosen Centre
Rosen Centre Grand Ballroom D
Extra Fee

Description

Millions of transactions, registration issues, no-shows, a myriad of payer rules, resource intensive reconciliation for authorizations and claims adjudication. These as just some of the challenges impacting payments and cash flow and creating other revenue cycle challenges. If you experience any of these, it’s time to explore infinite solutions that are portable, measurable and outcome driven.

In this session, attendees will learn how automation, machine learning and artificial intelligence are redefining the revenue cycle.

Learning Objectives

• How to identify difference between best practices and your real practices.
• How to apply technological solution to remediate the prevailing challenges.
• Using ML/AL solutions to increase efficiency, reduce cost, and a reallocate staff to more value-added functions.

This session is part of a special program called HIMSS19 Revenue Cycle Solutions Summit. Extra fees and separate registration is required.

Speaker(s): 

Director Business Applications,
The MetroHealth System
Physician Revenue Cycle Liaison,
The Metrohealth System

Audience: 

Healthcare Financial Professionals

Level: 

Intermediate