Rutgers Launches AWS-backed Hub for New Medical School
Rutgers University and RWJBarnabas Health are starting an AI innovation hub to prepare students for a unified medical school opening in 2028.
Key points
- Rutgers and RWJBarnabas Health launched an AWS-backed hub to integrate AI into medical education.
- The unified medical school aims to enroll its first class in 2028 after merging two existing schools.
- An AI coach tool is being used to provide faster feedback on student clinical skills practice.
Rutgers University and RWJBarnabas Health announced the launch of a new innovation hub powered by Amazon Web Services. The initiative is designed to integrate artificial intelligence into medical education as the university prepares to merge two of its existing medical schools.
The partnership aims to address the growing complexity of healthcare data for future clinicians. According to PYMNTS.com, the hub will support the development of tools that help physicians manage large datasets while ensuring they maintain critical evaluation skills.
Merging schools for 2028 start
The unified Rutgers School of Medicine expects to enroll its first class in 2028, pending accreditation in 2027. This combination of Robert Wood Johnson Medical School and New Jersey Medical School will create one of the largest public medical institutions in the country.
Dr. Amy Murtha, the founding dean of the new school, emphasized that the goal is not just to use technology, but to use it responsibly. She stated that students must learn to trust their data sources and critically interpret the results provided by AI tools.
Multidisciplinary teams tackle clinical problems
The hub will bring together students from medicine, engineering, computer science, and business to work on short-term projects. Up to five teams are expected in the first cohort, focusing on specific needs identified by faculty and clinicians. AWS is providing the necessary cloud computing resources and technical mentorship.
Operations are set to begin this fall, building on previous healthcare hackathons at Rutgers. This approach ensures that AI solutions are developed by the people who are responsible for solving the operational problems they address.
Speeding up clinical feedback loops
One of the first projects targets the delay in feedback for medical students practicing with actors. Traditionally, faculty reviews of these encounters can take a month or more to return. An AI coach developed with AWS now reviews audio and video based on faculty-created criteria.
This tool allows students to receive timely feedback, giving them an earlier chance to correct mistakes and practice again. However, Murtha noted a key trade-off: educators must ensure students use AI to advance their own knowledge rather than relying on it as a crutch for patient care.
