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In this webinar, we’ll explore how the Truveta Language Model (TLM)—a multi-modal AI model trained on EHR data—unlocks ...
The application of analytics to EHR data holds great promise for helping organizations identify opportunities to improve the quality of care and preserve financial stability.
Consider where your data sits today and create a cross-walk from your existing systems to the new EHR. Do you have multiple data sources or another EHR from which you will need to transfer data?
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Medical Device Network on MSNOracle bets on agentic AI and voice commands to differentiate new EHR system
Oracle has launched a new cloud-based, artificial intelligence (AI)-powered electronic healthcare record (EHR) system for ...
A novel image-based deep learning approach achieves high accuracy and interpretability, offering potential for clinical ...
Broad EHR adoption coupled with new interoperability mandates have set the stage for digital transformation in health data access.
Researchers caution that the quality of data included in many EHRs may not be sufficient for such applications, however.
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