HIT Consultant April 16, 2024
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
Today's Sponsor