Empowering Faculty. Elevating Learning.
Using AI to collaborate and enhance Faculty OSCE note rating and feedback capabilities. Helping save time, deliver actionable feedback, evaluate clinical training and enhance student learning outcomes.
Save time & Deliver Actionable Feedback
Streamlined Workflow
FeedbackAssist helps Faculty save time through the experience with AI-assisted evaluation.
This application helps students improve their clinical skills by evaluating their clinical notes, and provides timely, actionable and personalized feedback.
- Focus on What Matters
- Designed with educators in mind, the automated evaluations and feedback reduces Faculty time spent on grading allowing them to prioritize impactful teaching and engage in students in real time learning
- No Waiting Time with Actionable Feedback
- Clinical notes are evaluated automatically upon submission, eliminating delays. This empowers students with the real-time feedback they need to excel in their clinical training, enabling real-time learning opportunities fostering continuous improvement
- Data-Driven Excellence
- Our ongoing measurement and evaluation ensure the model’s output is accurate, consistent, and valid in helping students develop clinical competency and confidence
- Full Control
- Faculty always have the final say. They can review and edit the AI-generated evaluations before they are sent to students
Part of the Night-onCall
OSCE Management Platform
Supporting Innovative Insitutions
Night-onCall and FeedbackAssist are proud to support educational innovation with our partnering institutions, which include:
Medical College of Wisconsin, New York University, Texas Tech University Health Sciences, McGovern Medical School and Elson S Floyd College of Medicine Washington State University.
Together, we are driving excellence in medical education and training.
