The solution, ezCDI, is designed to analyze digitized healthcare information to identify documentation gaps. Features include computational linguistics and semantic web and machine learning to improve charge capture and more accurately code the complexity of hospitals’ respective patient populations.
For more information, ezDI’s website can be accessed here.
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Island Health to ‘persevere’ through rocky Cerner EHR rollout
Group Health clinics launch online queueing service for patients
Vermont considers opt-out approach to HIE to boost provider access to data
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.