While the practical applications of artificial intelligence (AI) are still being discovered, one area of AI — natural language processing (NLP) — is already helping advance the revenue cycle. Discover how the right NLP can support accuracy, efficiency and revenue integrity by powering comprehensive clinical documentation improvement and coding earlier in the process.
The American Medical Association has passed a policy that addresses use of augmented intelligence (AI) in the healthcare industry—a first for the organization.
With highly sensitive patient data to protect, and more vectors through which to access that data than ever before, the shortage of cybersecurity professionals should be of utmost concern to healthcare organizations.
Artificial intelligence is such a hot topic, it has seemingly supplanted data science as the new subject of conversation on everyone’s minds. So is it hype, or is it a reality?
With a high-volume workload staring down radiologists day after day, some hospitals are looking to lighten the load by outsourcing the work of examining medical imaging to computers running artificial intelligence and machine-learning algorithms.