Trusted Health and Mayo Clinic Team Up to Transform Healthcare Scheduling with CareCast
In a significant advancement for healthcare workforce management, Trusted Health has announced its collaboration with the Mayo Clinic to integrate the innovative CareCast workforce demand forecasting technology into Trusted Works, its staffing optimization platform. This partnership aims to streamline staffing and scheduling processes in hospitals and health systems, ultimately enhancing patient care and clinician experience.
Developed by Mayo Clinic, CareCast employs historical data regarding staffing, patient volume trends, and operational metrics to forecast future staffing needs. As part of this agreement, Mayo Clinic licenses CareCast technology to Trusted Health, allowing for its integration into the Trusted Works platform, which will also be available for other health systems.
The AI-driven agents within Trusted Works will harness the forecasts generated by CareCast to create efficient schedules, identify coverage gaps, and fulfill open shifts. This intelligent system will continuously adapt by comparing the planned schedules against actual outcomes, progressively refining its accuracy with each scheduling cycle.
The overarching goal of Trusted Works is to enhance current workforce and scheduling systems within healthcare facilities, promoting modernization while respecting existing workflows and leveraging previous technology investments. In a statement, Alissa Zimmerman, the Vice-Chair of Enterprise Nursing Workforce Optimization at Mayo Clinic, emphasized that an improved staff scheduling experience hinges upon understanding the needs of both the workforce and patients. By proactively forecasting workforce demands, healthcare systems can develop schedules that are not only more efficient but also offer greater flexibility and transparency for staff, aligning resources with patient requirements more effectively.
Lennie Sliwinski, Founder and CEO of Trusted Health, expressed the importance of intelligent workforce operations in addressing the challenges faced by healthcare systems today. By incorporating CareCast into Trusted Works, organizations can expect to anticipate their staffing needs more effectively, thus preventing urgent gaps in clinician availability. Sliwinski highlighted the necessity of placing the right clinicians in appropriate roles at the right times to serve both patients and healthcare workers better.
Moving forward, Trusted Health and Mayo Clinic plan to use the Trusted Works platform to enhance clinician experiences related to scheduling and staffing, taking into account direct feedback from nursing leaders and team members at Mayo Clinic. The aim of this initiative is to create a responsive workforce system that caters to patient demand while ensuring flexibility and manageability for healthcare leaders and clinicians alike.
It's noteworthy that Mayo Clinic holds a financial stake in the technology being utilized in this collaboration. Any revenue generated from the project will support its not-for-profit mission, benefiting patient care, education, and research initiatives.
As the healthcare industry continues to evolve, innovations like the collaboration between Trusted Health and Mayo Clinic demonstrate a commitment to improving the efficiencies of staffing and scheduling, which ultimately benefits patient outcomes and clinician satisfaction. Trusted Health, founded in 2017, is renowned for its focus on real-time, AI-based decision-making and automation across the healthcare staffing lifecycle. By bringing together intelligent systems and health expertise, this partnership aims to set a new standard in healthcare operational efficiency while addressing the unique challenges of workforce management in today's healthcare environment.
Developed by Mayo Clinic, CareCast employs historical data regarding staffing, patient volume trends, and operational metrics to forecast future staffing needs. As part of this agreement, Mayo Clinic licenses CareCast technology to Trusted Health, allowing for its integration into the Trusted Works platform, which will also be available for other health systems.
The AI-driven agents within Trusted Works will harness the forecasts generated by CareCast to create efficient schedules, identify coverage gaps, and fulfill open shifts. This intelligent system will continuously adapt by comparing the planned schedules against actual outcomes, progressively refining its accuracy with each scheduling cycle.
The overarching goal of Trusted Works is to enhance current workforce and scheduling systems within healthcare facilities, promoting modernization while respecting existing workflows and leveraging previous technology investments. In a statement, Alissa Zimmerman, the Vice-Chair of Enterprise Nursing Workforce Optimization at Mayo Clinic, emphasized that an improved staff scheduling experience hinges upon understanding the needs of both the workforce and patients. By proactively forecasting workforce demands, healthcare systems can develop schedules that are not only more efficient but also offer greater flexibility and transparency for staff, aligning resources with patient requirements more effectively.
Lennie Sliwinski, Founder and CEO of Trusted Health, expressed the importance of intelligent workforce operations in addressing the challenges faced by healthcare systems today. By incorporating CareCast into Trusted Works, organizations can expect to anticipate their staffing needs more effectively, thus preventing urgent gaps in clinician availability. Sliwinski highlighted the necessity of placing the right clinicians in appropriate roles at the right times to serve both patients and healthcare workers better.
Moving forward, Trusted Health and Mayo Clinic plan to use the Trusted Works platform to enhance clinician experiences related to scheduling and staffing, taking into account direct feedback from nursing leaders and team members at Mayo Clinic. The aim of this initiative is to create a responsive workforce system that caters to patient demand while ensuring flexibility and manageability for healthcare leaders and clinicians alike.
It's noteworthy that Mayo Clinic holds a financial stake in the technology being utilized in this collaboration. Any revenue generated from the project will support its not-for-profit mission, benefiting patient care, education, and research initiatives.
As the healthcare industry continues to evolve, innovations like the collaboration between Trusted Health and Mayo Clinic demonstrate a commitment to improving the efficiencies of staffing and scheduling, which ultimately benefits patient outcomes and clinician satisfaction. Trusted Health, founded in 2017, is renowned for its focus on real-time, AI-based decision-making and automation across the healthcare staffing lifecycle. By bringing together intelligent systems and health expertise, this partnership aims to set a new standard in healthcare operational efficiency while addressing the unique challenges of workforce management in today's healthcare environment.
Topics Health）
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