Building a KPI Dashboard to Compare Location Performance

What Is a KPI Dashboard?

What is a KPI dashboard? It’s a visual interface that brings key performance indicators together in one place, rather than keeping them scattered across different reports and spreadsheets. You open a single screen and immediately see the numbers that matter for decision-making, without switching between three different programs and comparing them manually.

But not everything that looks like a table of numbers is a real dashboard. A good KPI dashboard differs from a regular report in three ways:

• Each metric has a clear goal.
• There is a person responsible for that metric.
• The data is updated regularly and, ideally, automatically.

A report without a goal shows a number. A dashboard shows the number alongside what it should be, and who is responsible for closing the gap between them.

This distinction matters most for practices with multiple locations. Comparing locations only makes sense when you calculate the numbers the same way for each location. If one clinic defines “no-show” one way and another clinic defines it differently, the comparison simply doesn’t work, and any conclusions drawn from it will be flawed. The same metric must mean the same thing at every location; otherwise, the comparison loses its point.

Which Metrics Belong on a Multi-Location KPI Dashboard

The main categories of metrics worth including on the dashboard:

• Number of patients per location.
• Revenue per location.
• Percentage of no-shows and appointment cancellations.
• Average cost per visit or procedure.

It’s also worth tracking staffing and scheduling metrics separately:

• Physician or specialist utilization (how much of their available work time is actually spent with patients).
• Appointment fill rate.
• Average wait time by location.

According to industry data, the target range for physician utilization is typically 70 to 85 percent. A workload exceeding 90 percent is often associated with higher staff turnover and more clinical errors, so view this metric alongside others, not in isolation.

Important tip: Keep the number of metrics reasonable. A key metrics dashboard should help you make decisions, not become a list of everything you can measure. The more numbers on the screen, the harder it is to spot what really matters.

A good key metrics dashboard answers specific questions: Is the location’s revenue growing? Is it losing patients due to no-shows? Can the schedule handle the flow of appointments? If a metric doesn’t answer any of these questions, it’s most likely just taking up space on the screen.

Operations KPI Dashboard vs. Executive-Level Views

A dashboard for a specific location manager and a dashboard for the owner of a clinic chain are two different things, and they shouldn’t be confused. Attempting to create a single, one-size-fits-all screen for both roles usually results in a dashboard that’s inconvenient for everyone.

A location manager needs an operations KPI dashboard for day-to-day work. Here, near-real-time data, more metrics, and the ability to drill down into details by day or by a specific doctor are important. The manager needs to see what’s happening right now so they can make corrections today, not a month from now. If tomorrow’s schedule is only half-full, the manager needs to know about it this morning, not at the end of the month from a report.

The dashboard for the owner or regional management is structured differently. It requires fewer metrics, longer time periods, and the ability to compare all locations side by side simultaneously. The owner doesn’t need to know what happened at a specific clinic at 2 p.m. on Tuesday. They need to understand the big picture: which locations are growing, which are lagging, and where to look more closely.

Examples of KPI Dashboards for Comparing Locations

Here are a few examples of KPI dashboards that really help compare locations:

• The first option is a comparison table. Locations are listed in rows, and key metrics are listed in columns. This format is useful when you need to quickly see which locations are outperforming the others and which are lagging, across all metrics at once.
• The second option is a trend chart. A single metric, such as revenue or patient count, is plotted over time, with a separate line for each location. This format is useful when it’s not just the current figure that matters, but how it has changed over the past few months.

A chain manager notices that one location has had a consistently higher no-show rate than the others for several months in a row. Instead of guessing, he dives deeper into the data for that specific location. He finds the cause: appointment reminders aren’t reaching patients on time because the delivery settings at that clinic differ from those at the others. Without good examples of KPI dashboards like this, they would have had to search for this problem manually by cross-referencing records from different systems.

How to Build a Location Comparison Dashboard Step by Step

Building a good dashboard doesn’t start with choosing a tool; it starts with answering a simple question.

• First, define your audience. Who will use this dashboard, and what decisions should it support? A dashboard for a location manager and one for an investor look different because they serve different purposes. Starting with software rather than this question usually results in a dashboard no one actually uses.
• Next, select metrics that are calculated consistently across every location. This is critical for fair comparisons. If even one location calculates a metric differently, the entire KPI dashboard loses its meaning because the comparison is no longer valid. Before adding a metric to the dashboard, verify that every location measures it the same way.
• Connect the data directly. Instead of manual monthly data exports, the numbers should come directly from the practice’s EMR and scheduling systems. This isn’t just a matter of convenience. Industry data shows that practices that still rely on manual data collection only notice problems, such as an increase in no-shows or a buildup of payment refusals, after the fact, when last month’s numbers have merely recorded the damage rather than preventing it.

That’s precisely why platforms like EmilyEMR are designed from the ground up so that scheduling and patient visit data flow directly into a single system, rather than being scattered across a dozen separate files. This transforms dashboard creation from a manual task into a one-time setup, after which the numbers update automatically.

Comparing Locations Should Take Minutes, Not Meetings

A good dashboard turns comparing locations into a five-minute check, rather than a monthly ritual of gathering data from various sources.

To summarize the logic: choose the right metrics, ensure they’re calculated consistently across every location, and connect the data directly rather than manually. Together, these three steps make location comparisons accurate and fast, not approximate and delayed.

It’s worth checking how your practice currently compares locations and whether there are any gaps in the process you can close. If this currently requires hours of manual work every month, the problem is likely not a lack of data, but rather that the data simply isn’t consolidated in one place. Platforms such as EmilyEMR are designed to solve precisely this problem.