As healthcare providers study data to make decisions on the level of care, structured, intelligent algorithms can speed up these workflows for clinical reviewers. https://t.co/bOcUK2ZhjN via @hitanalytics
CMS wants companies to help patients share health data more easily with seamless digital check-in rather than paper forms. What are the obstacles to making that happen?https://t.co/I7WFuaaiEA via @ehrintel
Future tech professionals are leaving school with knowledge of how to generate quick outputs using AI, but they lack important skills such as prompt engineering and responsible AI. For @Dicedotcom, we explore the AI literacy skills tech pros need. https://t.co/RNC30bBCXv
How interoperability impacts GenAI deployment in healthcare: The successful deployment of generative AI tools requires robust interoperability efforts to make healthcare data more accessible. https://t.co/28fOnkzNNS via @ehrintel
Health systems are turning to the virtualization capability of IT platforms to gain visibility into sensitive data and streamline operations. Via @HealthTechMag https://t.co/mbgfOsmCiY
By participating in TEFCA, @Bryan_Health aims to improve trust in sharing EHR data and boost interoperability in rural communities. https://t.co/Z6JFYJBtQJ via @ehrintel
Clinicians are worrying about oversight and data transparency around health AI as well as the flood of tools. How should they prepare?https://t.co/ssx3qd3ayZ via @hitanalytics