Ebix Launches A.D.A.M. Medical Coding Platform
Ebix announced in a press release the launch of the A.D.A.M. Medical Coding Platform for healthcare organizations and content partners, along with new production and delivery capabilities for its Health Content and Wellness business. The platform uses automated coding with expert review to map health content to ICD-10 and LOINC.
Ebix said the platform can process thousands of articles per day and structure coded content for electronic health records, patient portals, and digital health platforms. The company said the platform can be used in different markets subject to local coding conventions, language needs, and implementation standards.
Ebix also launched automated production workflows for physician developed educational programs. A new media platform powered by AI can convert one educational program into audio, video, transcripts, and shorter topic segments for physicians across more than 25 specialties.
The company said accredited educational content will continue to be developed under physician leadership and reviewed by qualified physician faculty before publication.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Nov 13 ETR survey: Claude leads enterprise AI tools on satisfaction and spending plans Nov 13 Peter Sarlin's PostScriptum takes majority stake in Finnish AI deployment firm Brillian Nov 13 Gondola says Codex lifted engineering output 25% as revenue more than doubled Nov 13 DuPont teams with Microsoft and NobleAI to speed up R&D with AI Nov 13 Korean AI startups fear Huang exit could delay planned NVIDIA investmentsMore from Life Sciences
Nov 13 Bracco and Avicenna.AI win FDA clearance for AI that flags brain aneurysms on CT scans Nov 13 Zus Health raises $33 million to build the data layer for healthcare AI Nov 13 Google DeepMind releases AlphaGenome 2 to predict DNA variant effects in specific cell types Nov 13 Taiwan hospital accelerator T+ MedIC names AI ECG and CT screening tools as first winners Nov 13 Sheinbaum meets OpenAI president Greg Brockman on AI in Mexican healthcareEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
XpertDox brings autonomous AI medical coding to Camarena Health's Central Valley clinics
Ebix and intentyx Launch AI Agent Governance Service
Epic Explores AI Agents for Routine Patient Visits
OpenEvidence licenses American College of Physicians guidance and Annals of Internal Medicine content
MEDITECH and Lifemed AI Partner on Claims Automation
Daily AI Brief: the AI news that matters, in your inbox.