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    Home»Health»Wellsheet Launches Care Team AI Copilot to Halve Charting Time
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    Wellsheet Launches Care Team AI Copilot to Halve Charting Time

    HealthradarBy Healthradar22. Juli 2025Keine Kommentare3 Mins Read
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    Wellsheet Launches Care Team AI Copilot to Halve Charting Time
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    Wellsheet Launches Care Team AI Copilot to Halve Charting Time
    Wellsheet launches multidisciplinary AI Copilot to reduce charting time by 50%

    What You Should Know: 

    – Wellsheet, a leader in AI clinical workflows and operations launches its new Care Team Copilot, a solution that combines chart summarization, multidisciplinary rounding and discharge, and AI-generated documentation into a cohesive user experience designed for inpatient settings. Unlike AI scribes that primarily document patient conversations, Wellsheet’s AI reads the full patient chart and generates documentation based on that data in real-time, facilitating a natural workflow for multidisciplinary care teams, from physicians of all specialties to nursing and case management.

    – Wellsheet’s intuitive interface is embedded within all major Electronic Health Records (EHRs), complementing native EHR functionality and integrating easily into existing workflows. Its differentiated EHR-agnostic tech stack is also configured to enable health system IT teams to deploy enterprise-wide quickly, improving efficiencies and outcomes at scale.

    Addressing Charting Burden and Improving Throughput

    Physicians spend a significant amount of time in the EHR (57.8% according to the AMA), while additional studies indicate that care teams can spend an average of 419 minutes from order to exit in the charting and discharge process, nearly 3.5 times health systems’ target process time. With Mercer projecting a deficit of over 100,000 healthcare workers in the U.S. by 2028, wisely managing staff time is more critical than ever.

    Wellsheet’s Care Team Copilot directly addresses these challenges:

    • Reduced Charting Time: Clinicians using Wellsheet have reduced charting time by 50%.
    • Time Savings for Hospitalists: Hospitalists save 90 minutes on inpatient stay documentation.
    • Improved Length of Stay: Health systems have seen an average 12-16% reduction in length of stay.
    • Standardized Rounds: The platform has achieved standardization of multidisciplinary rounds.

    Key Features of the AI-Powered Care Team Copilot

    Wellsheet’s AI Copilot is built to meet the specific needs of multidisciplinary care teams working in collaborative, fast-paced inpatient environments. Its new core features include:

    • Chart Summarization & Embedded Decision Support: Provides contextual clinical views that adapt to the user’s specialty, role, and usage patterns. It brings together relevant chart data and AI-generated narrative summaries for hospital course, assessment and plan, and other documentation needs. It also helps guide treatment decisions by surfacing relevant content from UpToDate (such as Clinical Pathways, Calculators, and Lab Interpretations) prefilled with patient data.
    • AI-assisted Discharge Planning: Offers a Multidisciplinary Rounds (MDR) dashboard with Geometric Mean Length of Stay (GMLOS) and Average Length of Stay (ALOS), along with AI-driven alerts for patients due for discharge, anticipated discharge, and discharge disposition, all within handoff and chart views.
    • AI-generated Inpatient Documentation: The AI reads the entire patient chart to generate documentation (hospital course, assessment and plan, discharge summaries), providing a more natural workflow for inpatient settings.

    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,” said Craig Limoli, CEO and Co-Founder of Wellsheet.



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