​Data transformation in medical schools

Data transformation in medical schools

Medical schools around the globe have embraced digital tools to improve the process and practice of delivering medical education. Data being collected electronically includes information from admissions, assessments, evaluations, exam results, surveys, and more. It holds great promise for analysis, research, insights and a cycle of continuous quality improvement.  

But, the average medical school is storing their data in disparate, siloed places like admissions, scheduling, student affairs, evaluation, examination systems, and external entities such as the NBME and the AAMC. Siloed data means analyzing the big picture is a slow, cumbersome process, susceptible to error, time intensive and expensive.

This is where data transformation enters the picture. Where medical institutions use systems to collect data (known as data warehousing) and organize it (data automation). These solutions provide an institution with easy access to data, real-time information and dashboards for longitudinal analysis.

However, going digital and transforming how an institution manages or governs its data is not as easy as flipping a switch or downloading a piece of software. There are proven approached to data transformation in medical schools. This white paper covers:

  • How data can (and will) transform medical education
  • Pitfalls to avoid when approaching digital and data transformation at your school
  • A straightforward methodology you can use today to move lasting change with data forward