NESA's Virtual Care Platform Gains Epic Toolbox Designation
NESA's Virtual Care Platform has become the first inpatient virtual care solution to receive Epic's Toolbox designation, announced in a press release. This designation confirms that the platform has been rigorously tested and validated by Epic to meet inpatient integration and functionality standards.
The NESA Virtual Care Platform is designed to enhance care delivery by integrating virtual care capabilities directly within the Epic EHR system. It supports unlimited workflows for patients of all ages, improving clinician visibility and streamlining care coordination. The platform is already deployed across North America and Europe and continues to expand globally.
Key features of the platform include seamless integration with Epic's Hyperspace, MyChart, Rover, Canto, and Haiku, allowing one-click access to virtual care sessions. It also supports multi-participant virtual interactions and offers enterprise-grade hardware options for varied clinical needs.
NESA will be showcasing its innovations at the Epic Users Group Meeting in Verona, WI, from August 18-21, 2025.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 30 Insilico Medicine Selects AI Designed Obesity Drug Candidate ISM1354 Sep 29 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell ImagesLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
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
World Class Health Introduces AI Specialty Clinic
Memorial Hermann Uses Epic AI to Explain Test Results
NovaOne Launches Combined Behavioral and Physical Health Platform
Everise Deploys Sanas Speech AI to 15,000 Healthcare Support Agents
Sentara Health Pilots GW RhythmX AI for Primary Care
Daily AI Brief: the AI news that matters, in your inbox.