Healthcare Disciplines

An Ideal Assessment Management Platform for Multiple Higher Ed Disciplines

Comprehensive Competency and Clinical Progression Tracking Software for Your Healthcare Institution

Medical Schools

The medical school landscape is constantly evolving. Accreditors such as the Liaison Committee on Medical Education (LCME) and the Commission of Osteopathic College Accreditation (COCA) have tasked universities to provide comprehensive reports on curricula and individual, longitudinal learner performance. This has forced universities to undertake a big data aggregation process which relies on multiple systems to assess learners from every angle in order to better understand learner performance. Competency.AI enables medical schools to centralize these disparate data sources in a single platform, without any manual data uploads. It's easy to track competencies, Entrustable Professional Activities (EPAs), body systems, threads, and more. And while curricula and assessments may undergo rapid updates, Competency.AI agilely evolves in unison with your curriculum. Faculty and administrators can access valuable competency-based assessment data via the intuitive, single sign-on dashboard format, and learners are empowered to take control of their own education.

Nursing Schools

From safe, evidence-based nursing care to demonstratable clinical reasoning skills, positive educational outcomes help prepare students for real world clinical practice. The Competency.AI assessment management platform for higher ed empowers nursing schools to better define their program's mission, goals, and objectives by tracking learner and program outcomes. And with Competency.AI's intuitive dashboard format, it's easy to leverage the progression tracker functionality to assess program outcomes and identify the most promising elements of each progression pathway. Does your nursing school have several programs? Each of these programs has individual outcomes that can be aligned and tracked in a real-time dashboard. These user-based dashboards make it easy to drill down as far as course and learner-level outcomes, or as high as institutional-level outcomes. Administrators, faculty, and students can analyze specific data that's most important to their day to day activities, as well as report on long-term insight.

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Physician Assistant Programs

Physician assistant (PA) is one of the fastest growing professions in the country, with employment of PAs expected to grow 37 percent by 2026—and many PA education programs are looking to adopt a competency-based educational model to meet the demand. Allow your university to be known for training the best physician assistants by delivering real, demonstratable outcome data. It’s no longer sufficient to have a master spreadsheet housing massive amounts of learner performance data. Competency.AI aggregates data from multiple LMS and departmental sources, allowing faculty to quickly view individual or cumulative scores and visually display it based on university-defined criteria, improving faculty supervision and enhancing the educational experience for learners. And if your curriculum is aligned with ARC-PA standards and PANCE (Physician Assistant National Certifying Exam) outcomes, Competency.AI intelligently aligns program and course-level outcomes to streamline the reaccreditation process.

Schools of Pharmacy

Pharmacy education programs are rapidly adopting competency-based evaluation approaches, and must be able to track students' academic performance, competencies, and Entrustable Professional Activities (EPAs) aptitude across the curriculum in real-time. This is a constant challenge for pharmacy programs, as it's common to have multiple systems serve as academic data repositories for residential and experiential activities and assessments. Integration gaps between disparate data sources lead to difficulties in obtaining a holistic view of students' experience, performance, and longitudinal progression tracking across the curriculum. Competency.AI automates the required competency and academic performance data aggregation process and presents output data in an intuitive dashboard for relevant users. It also makes it easy to conduct real-time competency gap analysis, playing a critical role in identifying student or cohort strengths and weaknesses.

"We're able to see with each of the discrete measures how each student is doing. And because we can track that cohort as it's moving through, we're able to find out quickly if we're missing a part of the curriculum that we thought we were teaching, or we thought something was happening at a certain time. If as a cohort the students are performing less, then we know where to go back and make the program more robust or emphasize that teaching."
— Anthony Frisby, PhD, Director of the Center for Teaching and Learning & the Scott Memorial Library
Thomas Jefferson University Sidney Kimmel School of Medicine

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