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Beyond the Numbers: Using AI to Support ACGME Survey Analysis
ACGME Resident and Faculty Survey data provide valuable insight into the learning environment, program culture, and institutional performance. However, while the reports contain meaningful information, interpreting that data in a way that leads to actionable improvement can be time intensive, particularly during Annual Program Evaluation (APE) and annual reporting cycles. As AI tools continue to evolve, many GME leaders are beginning to explore how these technologies can su

Courtney Dolan
May 183 min read


Germane Solutions and Clinician Nexus’ Strategic Partnership: Advancing Workforce Development Through “Pipeline to Practice”
Germane Solutions is thrilled to announce our strategic partnership with Clinician Nexus, introducing a new, integrated solution designed to help health systems strengthen and sustain their clinical workforce: Pipeline to Practice. As healthcare organizations face increasing pressure to align clinical education with long-term workforce needs, many are navigating fragmented systems, limited visibility into learner pipelines, and challenges translating strategy into execution

Susan Hearn-Stiffler
May 182 min read


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

Kyle Knepper
Jan 161 min read


Leading with Intention: A Thoughtful Approach to AI in GME
Artificial Intelligence is rapidly becoming part of the healthcare conversation, not only in diagnostics and clinical decision-making, but also in how we train our future physicians. As GME leaders consider how AI might shape their programs, a recent article from the Journal of Graduate Medical Education offers a timely and structured way to begin that exploration: Could I, Would I, Should I? This framework encourages GME stakeholders to approach AI adoption with intention

Susan Hearn-Stiffler
Nov 10, 20252 min read


Leveraging AI in Academic Medicine
Healthcare and academic medicine since its origin have experienced continual revolutionary changes—or, at the least, fundamental...

Treven Cade
Feb 15, 20232 min read
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