EGUIDE:
When a patient encounter ends, the back end of the revenue cycle gets busy creating claims and managing A/R to optimize revenue collection and integrity. Read more about it in this eGuide.
EZINE:
In this week's Computer Weekly, we examine the role of green tech in helping businesses contribute to the government's 2050 net-zero targets. We also talk to Spotify about the importance of open source for the music streaming service and how hybrid working is evolving as the post-pandemic workplace continues to change. Read the issue now.
EZINE:
In this week's Computer Weekly, we talk to NHS Digital about how technology is supporting the health service's response to the coronavirus crisis. We examine the challenges of running a successful security operations centre. And we look at the emerging datacentre architecture based on composable infrastructure. Read the issue now.
EGUIDE:
By providing specialty-specific EHR training, using e-learning modules, and encouraging ongoing EHR education, healthcare organizations can help promote clinician satisfaction.
EGUIDE:
Researchers presenting at this year's SNMMI Annual Meeting demonstrated that a computational model can accurately identify four subtypes of Alzheimer's disease, which may help generate insights into the condition's underlying biology and personalize future treatment methods. Download the article to know more.
WHITE PAPER:
Managing clinical claims appeals has traditionally been a costly, convoluted part of the healthcare revenue cycle. Introducing AI into the process can improve the efficiency and accuracy of claims appeals. Learn how AI can elevate your revenue cycle ecosystem.
EGUIDE:
Case Western Reserve University School of Medicine is the first medical school to leverage Lyceum, an Epic EHR training platform designed for first-year medical students.
EBOOK:
In this healthcare handbook, explore the challenges of integrating an EHR with medical imaging storage, and why your organization should look to the enterprise imaging model. You'll also uncover 7 things to know about how next-generation technology with affect medical imaging.
