HIT Consultant April 16, 2024
Michael Gao, MD, CEO and co-founder of SmarterDx

Applying artificial intelligence (AI) solutions in hospitals and health systems can be overwhelming for leaders due to AI’s complexity (it’s not one technology, but several) and rapid proliferation. This is in addition to the usual technology hurdles within healthcare that include data quality and accessibility, interoperability, and clinical validation and adoption. Finally, with any new solution, there’s the concern of return on investment: Will implementing the latest solutions pay off for my organization? How will it be measured?

Given these challenges, it’s advisable for organizations to initially apply AI in areas where there are fewer uncertainties and the value can be clearly ascertained. One such area is revenue cycle management (RCM), where the impact of AI can be easily...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Provider, RCM (Revenue Cycle Mgmt), Technology
This Is Not Broadcom’s ‘Nvidia Moment’ Yet
ChatGPT adds more PC and Mac app integrations, getting closer to piloting your computer
AI Fuels Tech Surge as Micron, Databricks and Basis Ride Wave of Growth
AI Translator Could Be ROI Boon
‘Orgs need to be ready’: AI risks and rewards for cybersecurity in 2025

Share This Article