Every year, thousands of students apply to medical and graduate programs across the country. They research schools, write personal statements, prepare for interviews, and anxiously wait for decisions that will shape the rest of their lives.
Behind every one of those decisions is a person.
Not an algorithm. Not an automated system. A real person sitting at a desk, managing hundreds of files, coordinating interviews, chasing down missing documents, responding to applicant emails, preparing committee reports, and doing it all over again the next day.
We have been building software for medical and graduate admissions teams for 29 years. And one thing has never changed: the people doing this work are among the most dedicated, detail-oriented, and genuinely mission-driven professionals in higher education. They just rarely get acknowledged for it.
The Numbers Tell a Hard Story
A 2025 study published in Frontiers in Psychiatry made a striking observation. Medical school administrative staff were described as the overlooked pillars of medical education — critical to how programs function, yet largely absent from conversations about wellbeing and burnout in higher education.
The broader data backs this up. According to CUPA-HR’s 2025 Higher Education Employee Retention Survey, over half of higher education staff regularly work more than full time hours. 61% have taken on responsibilities from colleagues who left and were never replaced. Nearly one in three say they are not sure they will stay in their roles, with 84% citing stress as a major factor.
These are not numbers about faculty or students. These are the people running your admissions office.
The Systems Problem Nobody is Talking About
Here is what makes this harder than it needs to be. Many admissions teams are still working across multiple disconnected platforms, manually tracking data that should update automatically, and generating reports that take hours instead of minutes.
When your team is spending their day chasing information across systems, they have less time for the work that actually requires human judgment — reviewing applications thoughtfully, supporting applicants through a stressful process, and making decisions that genuinely change lives.
This is not a people problem. It has never been a people problem. It is a systems problem.
And AI is finally giving us the tools to solve it.
What AI Actually Looks Like in Admissions
The conversation around AI in higher education has been loud and often confusing. Will it replace admissions officers? Should programs be worried about AI-generated applications? Is it ethical?
These are valid questions. But they are drowning out a more immediate and practical conversation — what happens when you put AI to work on the parts of the job that are burning your team out?
Predictive scoring that helps identify which applicants are most likely to succeed before they even reach the interview stage. Automatically generated applicant summaries that give reviewers what they need without hours of manual prep. Interview prep questions tailored to each candidate’s profile so faculty walk in informed and ready.
AI handling the volume so your team can focus on the decisions that actually require a human.
This is not about replacing the judgment of experienced admissions professionals. It is about giving them back the time and capacity to actually use that judgment.
What We Believe
At ZAP Solutions, we have always believed that the best admissions software should do two things well. It should make the process better for applicants. And it should make the jobs of the people managing that process genuinely easier.
The admissions teams we work with are managing some of the highest stakes decisions in higher education — who gets into medical school, who gets the opportunity to become a doctor, a researcher, a specialist. That work deserves tools built specifically for it.
AI is not the threat to admissions teams that some fear it to be. In the right hands and built for the right purpose, it is the most powerful tool we have ever had to give those teams their time back.
And the people doing this work have earned that.
If you’re curious what AI built specifically for medical and graduate admissions looks like, you can explore how we approached it here.