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Germane Solutions Announces Strategic Partnership with Chiefly: Advance GME Operations Through Automated Scheduling

Germane Solutions is pleased to announce a strategic partnership with Chiefly, an innovative automated scheduling platform designed to simplify and modernize complex clinical training environments.

 

Graduate Medical Education (GME) programs face increasing operational pressures, ranging from workforce constraints and accreditation requirements to the growing need for transparency, equity, and efficiency in resident and physician scheduling. This partnership brings together Germane Solutions' deep expertise in academic medicine and GME strategy with Chiefly’s purpose-built technology to help organizations move from manual, high-burden scheduling processes to scalable, data-driven solutions.

 

Through this collaboration, Germane Solutions and Chiefly will be able to jointly support hospitals and health systems by:


  • Reducing administrative burden associated with resident and faculty scheduling

  • Improving schedule accuracy, equity, and compliance

  • Enhancing operational visibility for GME leadership

  • Enabling programs to better align staffing models with educational and clinical needs

 

“Our clients continue to ask for practical solutions that not only help them to meet regulatory and operational needs, but also meaningfully improve their day-to-day GME operations,” said Kyle Knepper, Director at Germane Solutions. “Partnering with Chiefly allows us to pair strategic advisory services with technology that delivers immediate, tangible value.”

 

Chiefly’s automated scheduling platform is designed specifically for complex healthcare environments, helping organizations build smarter schedules faster, while improving the experience for residents, faculty, and administrators alike.

 

Together, Germane Solutions and Chiefly are committed to helping sponsoring organizations and their GME programs navigate today’s operational challenges while building more sustainable, efficient systems for the future.

 

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