NOC APP

Data intake to Dashboards with collaborative AI capabilities

Ready to use data capture, AI collaborative note grading and educational reporting system for Night On Call.

The online software application is a comprehensive data capture system that provides individual reports for medical learners and important educational analytics in a secure, instant and frictionless system.  In addition: faculty can choose to use a AI collaborative system when generating feedback for students and grading clinical coverage notes.

  • Finding a ready built OSCE system that captures ratings and generate reports seamless and instantly is hard to find.

    The NOC App helps you capture and provide reports to your students, faculty, administrators and deans, in an easy and secure online system immediately.

  • Use 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. To pilot it out go to FeedbackAssist

  • The online software application provides a comprehensive system to capture ratings from the standardized raters and faculty on each individual student during NOC.

    This data is used to calculate how well students are performing on competencies important for internship.

  • Students, faculty and administrative staff have access to performance reports, dashboards and educational analytics.

    Participating sites are provided individual student reports, and a summary of how well a cohort of students are prepared for internship.

    Students are provided with their own performance reports.

    Results can be used for remediation, formative or summative assessment, curriculum evaluation and improvement.

  • NOC provides two training modules for new raters (standardized raters or Faculty) or to recalibrate existing raters.

  • NOC provides a summary of students’ competency across cases. This includes measuring communication, evidence based search skills, transfer of cases to another resident, and the ability to write a note.

    In the future, scoring on the 13 entrustables will be provided.

    Please visit click here for more details on NOC assessment.

Collaborative AI: creates in depth, systematic feedback for students regarding their clinical coverage note. This includes feedback on reporting, interpretation, management plan and clinical reasoning. Faculty can edit this feedback before its is a

Collaborative AI: creates in depth, systematic feedback for students regarding their clinical coverage note. This includes feedback on reporting, interpretation, management plan and clinical reasoning. Faculty can edit this feedback before its is available to students in their feedback summary reports.

Collaborative AI system generates estimated ratings using the RIM framework. Faculty can rate the note independently of the AI system, and then can compare their rating to the suggested ratings from the collaborative AI system. The reasoning of gra

Collaborative AI system generates estimated ratings using the RIM framework. Faculty can rate the note independently of the AI system, and then can compare their rating to the suggested ratings from the collaborative AI system. The reasoning of grade is also provided by the AI system.

Student Report: Rating by Standardized Nurses on Communication Skills

Student Report: Rating by Standardized Nurses on Communication Skills

Dashboard for Students and Faculty: Coming in 2023/24. The dashboard provides an overview of how well students performed by case, rater and competency. Students and Faculty can explore their data.

Dashboard for Students and Faculty: Coming in 2023/24. The dashboard provides an overview of how well students performed by case, rater and competency. Students and Faculty can explore their data.

Dashboard for Students and Faculty: Coming in 2023/24. The dashboard provides an overview of how well students performed by case, rater and competency. Various visualization are present to facilitate data literacy based on the learners preferences.

Dashboard for Students and Faculty: Coming in 2023/24. The dashboard provides an overview of how well students performed by case, rater and competency. Various visualization are present to facilitate data literacy based on the learners preferences. There is a visualization for everyone!

Dashboard for Students and Faculty: Coming in 2023/24. The dashboard provides an overview of data trends over time by case, rater and competency. This can help in curriculum evaluation and assessment. This includes summary statistics, and data anal

Dashboard for Students and Faculty: Coming in 2023/24. The dashboard provides an overview of data trends over time by case, rater and competency. This can help in curriculum evaluation and assessment. This includes summary statistics, and data analyses.

Summary Report for Medical Schools: Faculty rate students skills after writing notes for cases. School are provided a summary of how well their students interpret their findings in a note. Schools are also given a summary of their students managem

Summary Report for Medical Schools: Faculty rate students skills after writing notes for cases. School are provided a summary of how well their students interpret their findings in a note. Schools are also given a summary of their students management plan and clinical reasoning skills as rated by their Faculty raters. This data can help in curriculum assessment and redesign if gaps are identified.

Student Report: Rating of a student's transfer of cases to a resident after their Night-on Call experience. Students are also given an overall entrustment rating.

Student Report: Rating of a student's transfer of cases to a resident after their Night-on Call experience. Students are also given an overall entrustment rating.

Student Report: Faculty rate students skills after writing notes for cases. They are provided detail of how well they report and interpret their findings in a note. They are given ratings on their management plan and clinical reasoning.

Student Report: Faculty rate students skills after writing notes for cases. They are provided detail of how well they report and interpret their findings in a note. They are given ratings on their management plan and clinical reasoning.

Student Report: students are rated by a Librarian of how well they performed a literature search to answer a clinical question. Students are given a detailed breakdown of how well they did each component.

Student Report: students are rated by a Librarian of how well they performed a literature search to answer a clinical question. Students are given a detailed breakdown of how well they did each component.

Summary Report for Medical School: Medical Schools see how well their cohort of students performed overall on the attending call (played by a Faculty member normally). The rater also provides an overall entrustment score, and schools are provided wi

Summary Report for Medical School: Medical Schools see how well their cohort of students performed overall on the attending call (played by a Faculty member normally). The rater also provides an overall entrustment score, and schools are provided with a summary of their cohorts entrustability on this skill.

School Summary Report: This is a summary of how well a cohort of students performed on the transfer of cases to a standardized resident after their Night-on Call experience. The rater also provides an overall entrustment score, and schools are provi

School Summary Report: This is a summary of how well a cohort of students performed on the transfer of cases to a standardized resident after their Night-on Call experience. The rater also provides an overall entrustment score, and schools are provided with a summary of their cohorts entrustability on this skill. This can help with determining if students can handover case content safely as they transition to internship.

FeedbackAssist: Collaborative AI

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

Try it today

Training Modules 

NOC provides two training modules for new raters (standardized raters or Faculty) or to recalibrate existing raters.  
These modules provide examples of near graduates with varying ability, so the raters and faculty can understand what to expect when being part of NOC, and using the NOC checklist to rate near graduates.
The goal of these modules will help ensure a standardization across raters and Faculty.

  • Standardized raters will watch a series of videos of near graduates interacting with SP with varying ability. They will then rate the students based on their performance using the NOC checklist and rate students performance.

    The goal of this module is to train new raters, and recalibrate existing raters to ensure they rate near graduates in a standardized and consistent fashion.

  • Faculty will read a series of written students notes from the various cases in NOC and use a checklist used to rate students clinical reasoning. The notes will be of varying ability, and once Faculty have rated the note, they will be able to compare their scores to the recommended score for that note.

    The goal of this module will to train new Faculty in grading students notes for clinical reasoning, and recalibrate existing Faculty.