There are many benefits, including time savings in building requirements and developing software, reduced load on your internal IT team, and significant cost savings for both the development and ongoing maintenance of bespoke in-house software.

As Analytics helps you to break down data silos within your program, administrators across Student Affairs, Assessment & Evaluation, Curriculum, Accreditation/Continuous Quality Improvement, Admissions, Academic Affairs and Office of Medical Education, as well as course advisors and course/clerkship directors benefit from a single source of truth.

BI (business intelligence) tools like Analytics are used to track key performance indicators over time and uncover patterns in your data. This can greatly benefit most departments within a school, reducing data silos by providing real-time access to a single source of truth. Powerful reporting capabilities for a complete, longitudinal picture of performance empowers administrators to recognize trends, be alerted of low performance issues, and drive continuous improvement across your program.

Analytics was built in partnership with medical schools to meet their unique reporting needs. When you use Analytics, you have something much more than just a BI tool right at your fingertips: turn-key access to the data you need and pre-built dashboards to answer your critical questions and LCME reporting needs. This tailored experience for medical education means that you can immediately benefit from the insights in Analytics, instead of spending a lot of time building requirements and data integrations internally to streamline your PowerBI or Tableau experience. Also, you avoid the risk of attrition of internal employees’ expertise on the design and ongoing maintenance of the system. 

Data silos

Because learner and program data can be housed across ~30 systems, administrators in different roles and departments often are only able to see a slice of the performance data. This means a lot of manual work needs to happen and time is lost in order to be able to get a more complete picture. Analytics ensures each member of your medical education team has continuous access to the holistic data they need to be most effective in their individual roles. 

Incomplete picture of data

Without accurate, timely, and complete data, it is very difficult to identify potential areas of improvement in a program, or to ensure that learners are well supported throughout their medical education. Analytics allows medical education teams to continually monitor longitudinal trends on learner and program performance so that you can make data-informed decisions that drive true CQI.

Data inconsistencies

Medical schools have so much data available to them, but without standardized data collection methods and data governance, the data can be unusable alongside information from other sources, without a lot of manual work. Ensure standardized data collection processes and data governance for your medical school with expert guidance from our Analytics data consultants.

No dedicated IT resources are required for ongoing use of Analytics. Some dedicated IT time will be needed during the implementation phase, e.g., credentials to set up automated integrations, SSO set-up, however this is a light effort.

Precise, individualized permissioning in Analytics ensures that each team member has access to only the appropriate data they need in their role. Fine-grained, FERPA-compliant access to the data means that you can optimize your Student Affairs, Curriculum, Program Evaluation and Medical Education teams’ effectiveness with role-appropriate access to a single source of truth.

Analytics uses proprietary automatic integrations with many common systems used in medical education to keep data up to date in Analytics so you don’t have to. This allows Analytics to effortlessly bring together your pre-clinical and clinical grades, in-course exams, gateway exams, matriculation data, course evaluations and residency match data into a secure, centralized data warehouse through two methods. For a few non-recurring data types (e.g., matriculation and residency match), this data is imported for you via flat file transfer.