Wellsheet has launched its new AI Care Team Copilot for hospitals, designed for minimising charting time by 50%.
The solution blends chart summarisation, rounding and discharge processes, and AI-generated documentation into a unified user experience.
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It is integrated within all major electronic health records (EHRs), enhancing native functionalities and fitting effortlessly into current workflows.
Its EHR-agnostic technology stack allows for swift enterprise-wide deployment by health system IT teams, aiming to boost efficiency on a large scale.
Tailored for the requirements of multidisciplinary care teams, Wellsheet’s AI Copilot introduces core features such as chart summarisation with embedded decision support, AI-assisted discharge planning, and AI-generated inpatient documentation.
These features adapt to the user’s specialty and role, offering AI-driven narrative summaries and decision-making tools like UpToDate integration, which incorporates patient data for treatment guidance.
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By GlobalDataFurthermore, the AI-assisted discharge planning feature includes a dashboard displaying geometric mean and average length of stays, along with AI alerts for patient discharges.
The AI-generated inpatient documentation capability reads the entire patient chart to produce comprehensive records, supporting a more natural workflow for hospital settings.
Wellsheet CEO and co-founder Craig Limoli said: “Wellsheet’s Care Team Copilot is like having another member of your care team continuously reviewing the entire patient chart, recommending care pathways, and drafting your documentation for you.
“We’re thrilled to deliver the first care team copilot that facilitates multidisciplinary care at enterprise scale, ensuring that every clinician can reap the benefits of the latest advancements in AI-enabled clinical workflows.”
Over the last year, Wellsheet’s AI Copilot has been implemented in more than 75 new hospitals nationwide and is currently in use by health systems such as IU Health, Ascension and Concord Hospital Health System.
