From Binders to Dashboards

January 14, 2026

25 Years of Change in MedEd Operations

This year marks 25 years since One45 began helping medical schools bring order to the operational complexity of medical education.

In that time, the work of MedEd administration has shifted from the clatter of binders and clipboards to the quiet hum of connected systems and digital dashboards. What has remained constant is the dedication of the coordinators, administrators, and program leaders whose behind-the-scenes work keeps everything running.

As we reflect on 25 years of supporting the operational backbone of medical education, we’re looking at how programs have navigated new technologies, the move to competency-based medical education, rising expectations for transparency, and the ongoing demands of accreditation. These forces have redefined what effective operations mean in MedEd today.

The Early 2000s: The Binder Years

Before digital workflows, medical education administration ran on paper—files in cabinets, forms in drawers, and processes held together by memory and hallway check-ins.

Sylvia Mioduszewska, who spent 15 years in MedEd administration before joining One45 (now Acuity Insights), remembers how even routine tasks became a tangle of paper, email attachments, and version control issues.

During OSCEs, she printed stacks of cases, always hoping she had the right version. Small errors meant reprinting everything. Mini-CEX assessments required manually reviewing handwritten forms, chasing missing data, and entering numbers by hand—work that could take weeks.

At Dalhousie University, Meegan Carlson (then the Manager of Education & Postgraduate Education) saw the same challenges. Evaluations arrived by fax, residents each had binders updated manually, and rotation schedules were mapped out with paper and post-its that had to be rebuilt any time something changed.

Operations were meticulous, manual, and deeply human. Institutional intelligence existed—but it lived in people, not systems.

Moving From Paper to Platform

By the early 2000s, schools began adopting digital tools to replace paper workflows. Evaluations could be distributed electronically. Schedules could be updated online rather than posted on corkboards.

“When we moved our evaluations online, it was life-changing,” recalls Meegan. “Suddenly we could see things we’d never seen before—completion rates, patterns, timelines. We could actually measure process.”

Digitization brought efficiency and opened the door to faster communication and more consistent recordkeeping. But it also required new ways of working.

“When everything moved online,” Sylvia notes, “it didn’t instantly make things easier. We had to learn new workflows and permissions. Once people trusted the systems, we could finally focus on improvement instead of paperwork.”

Some human moments—like hallway check-ins—were harder to replicate digitally. The shift was not just technological, but cultural. Administrators translated years of institutional knowledge into new digital formats and rebuilt processes from the ground up.

Digitization solved the paper problem—but created a new one: systems were digital, but they were still disconnected.

Connecting the Islands

As schools adopted more digital tools, it became clear that efficiency alone wasn’t enough. Evaluations, schedules, grades, and curriculum maps were now electronic, but they lived in separate systems.

This fragmentation made it difficult to answer foundational questions:

How do learning objectives align with assessments?
Are students meeting competencies across rotations?
Where are the gaps?

Administrators still spent hours manually stitching data together in spreadsheets.

“Programs were generating more data than ever,” Meegan says, “but it took a huge amount of effort to make sense of it. We could see pieces but not the whole picture.”

This pushed schools toward integration. Some built data warehouses; others adopted emerging tools like One45’s Analytics, which centralizes medical education data, normalizes it, and provides a unified reporting layer.

Today, platforms can integrate data from across One45 and external sources like NBME or OSCE results, offering far clearer views of learner performance and program outcomes.

“It’s not perfect,” Sylvia notes, “but it’s light years ahead of where we started. The ability to connect information and see trends—that’s what changes everything.”

Connecting data didn’t just streamline reporting. It enabled schools to ask better questions and build a foundation for evidence-driven improvement. What began as an effort to eliminate paperwork was evolving into a way to strengthen the educational experience itself.

Data Maturity and the Human Factor

Even with connected systems, the value of data depends on the quality of the operations behind it. Clear workflows and consistent processes are what turn information into insight.

“If your workflows aren’t solid, your data won’t be either,” Sylvia explains. “It’s like building a house. You can’t measure where the walls should go if the foundation isn’t level.”

This principle has long guided One45 and now Acuity Insights. The goal isn’t simply to automate or centralize, but to help programs build reliable systems that generate trustworthy data—data that can drive meaningful action.

Across today’s Acuity ecosystem, operational tools and analytics capabilities work together to connect processes with performance. But the core truth remains: software enables progress; people sustain it.

The Road to Intelligence

With integration and process maturity came a new possibility: using connected data to guide decisions, not just record them. The move from paper to digital—and then to connected systems—set the stage for the next evolution: MedEd Operational Intelligence.

If the past two decades were about collecting and connecting information, the next is about applying it to drive continuous improvement. This phase is defined by feedback loops where curriculum design, assessment strategy, and learner support are shaped by real-time evidence rather than retrospective reports.

“We’ve gone from managing information to learning from it,” Meegan says. “That’s the transformation already underway.”

Operational Intelligence is not a product. It is an ecosystem where operations and insight work together, enabling continuous quality improvement to become a daily practice. Some schools are deep into this journey; others are just beginning. But the direction is clear: the more intentional and connected the operations, the stronger the intelligence that follows.

Both Meegan and Sylvia emphasize that intelligence is only as reliable as the data and processes feeding it. The next evolution requires not just better tools for surfacing insights, but disciplined practices that ensure those insights are trustworthy.

A Quarter-Century of Progress and Possibility

The transformation over 25 years is remarkable. What began as a mission to tame paperwork has evolved into a new way of operating medical education itself. Administrators who once copied forms by hand now collaborate with academic leaders and data teams to understand performance, anticipate risk, and guide improvement in real time.

Operational Intelligence changes the role of MedEd operations from record-keeping to sense-making. Instead of asking questions after an issue surfaces—during accreditation reviews, learner concerns, or program evaluations—schools can see patterns earlier, respond faster, and act with confidence. Gaps in assessment coverage, inconsistencies in learner experience, and emerging risks no longer stay hidden in spreadsheets or siloed reports. They surface as signals for action.

This shift also reshapes how people work. When data is reliable, connected, and timely, administrators spend less time reconciling information and more time partnering with faculty, supporting learners, and strengthening programs. Intelligence doesn’t replace human judgment—it amplifies it, giving teams the clarity they need to make better decisions together.

After 25 years, the story is no longer just about how far MedEd operations have come. It’s about what comes next. The next chapter is defined by systems that don’t just store information, but learn from it—and by institutions that use operational intelligence to continuously improve how they educate the clinicians the world depends on. In the months ahead, we’ll explore what MedEd Operational Intelligence looks like, why it matters, and what it will take to realize its full potential.