Welcome to Night-onCall

A simulation to assess the readiness of near graduates for residency using Simulation and Collaborative AI tools

Funded and supported by the Josiah Macy Jr. Foundation.
Developed in partnership with the New York University Grossman School of Medicine, Medical College of Wisconsin, and participating consortium medical schools.

Are your near graduates ready for the challenges of internship and residency? 

Night-onCall is a simulated "night on call" with standardized patients, nurses, residents, attending and patient partners.  This simulation assesses near-medical graduates' readiness for internship and entrustment judgements through a series of cases and activities they are expected to do during their first night on call.

Given the time intensive nature of grading clinical notes, NOC has a collaborative AI tool to help faculty grade clinical coverage notes.

Night-OnCall provides ready-to-use cases, training materials to standardize the simulation experience, and assessment and outcome reports on medical students’ performance. An online application is available to capture, analyze, and generate reports for medical learners and schools in a straightforward and easy-to-use manner.

NOC incorporates collaborative AI tools to help faculty save time and improve students clinical skills by providing in-depth, actionable, personalized feedback on their clinical coverage notes.

Explore Night-onCall

Seven clinical cases were designed to evaluate a near-graduate’s ability to assess patients, form diagnoses, gather informed consent, and thoughtfully engage a number of actors.  All training materials for the various roles in the case, checklists for assessment, labs and additional case materials are provided.

How we assess if Graduates are ready.

During NOC, medical learners are assessed on their communication, history and physical examination skills, note writing, cultural safety, clinical reasoning, transfer of case content to a resident, and evidence based skills.

Generate reports with a click of a button in the NOC application and detailed written feedback for students using a collaborative AI tool called FeedbackAssist.

The Night-OnCall Application is a data capture and reporting software that is specifically designed to make the process of collecting data (rating students) and analyzing and generating reports seamless for both medical schools and students.
Medical learners receive a comprehensive report regarding their performance, and medical schools receive these reports, along with a summary of how well their medical learners performed overall.

Take research out of the lab. Join our consortium studying the UME-to-GME transition.

 FAQs

  • A NOC simulation involves completing three 15-minute clinical encounters with a standardized patients, each followed by 10-minutes to write a clinical note. Each case then has a 10-minute activity that demonstrates an important skill near-graduates are expected to perform during internship. NOC ends with a transfer of all three patients cases to the next team member.

  • NOC should be done close to near graduation. If you would like to use the results from NOC to identify struggling near-graduates, consider conducting NOC earlier in the near- graduates’ final year.

  • NOC is a three case simulation. Each case is ~35 minutes in length with 10 minutes for doing a final hand-off activity. Thus, NOC takes approximately 2-2.5 hours to complete.

  • You will need to recruit and train the standardized patients and librarian grading the literature search activity and recruit faculty to grade clinical notes.

    All of the training materials, checklists for rating near graduates, the collection of data on the day of NOC, and generation of reports for students and Medical Schools is available in the NOC app.

    We support all new sites in their first year to ensure they have a smooth experience.