How to Use Staffing Data to Make Better Hiring Decisions Year Over Year

Healthcare staffing problems usually don’t come out of nowhere. Most of the time, the warning signs were already in your data.

If you’re responsible for workforce planning, you probably already have more information than you use. Open roles, fill times, turnover, overtime, agency spend, and seasonal swings all tell a story. The hard part is turning that story into better hiring decisions next year.

That’s what staffing data can do for you. When you track the right numbers year over year, you can spot patterns, plan ahead, and avoid making the same expensive mistakes twice. Staffing data also helps you move from reacting to problems to planning for them.

H2: Start with the staffing data that matters most

Not every metric deserves equal attention. If you want staffing data that helps you make better decisions, start with the basics that show demand, cost, and stability.

Track these first:

Seasonal vacancy patterns
Look at when certain roles or departments are hardest to fill. For example, maybe your imaging team always has more openings in summer, or your front desk roles spike in turnover during the holidays.

Cost per fill by unit
This shows how much it costs to hire for each department. Include recruiter time, job board spend, agency fees, referral bonuses, onboarding costs, and any sign-on incentives.

Agency vs. internal fill rates
How often are you filling roles with internal staff, internal transfers, or direct hires compared to agency help? This tells you where you’re relying too heavily on temporary coverage.

Turnover by department
Some departments lose staff faster than others. That’s not just a retention issue. It’s also a hiring issue, because high turnover keeps you in a constant fill cycle.

Time to fill and days vacant
These numbers help you see how long empty roles stay open. If a role stays vacant for 60 days, that’s 60 days of pressure on the rest of the team.

These are simple metrics, but they can reveal a lot. The key is to track them in the same way every year so you can compare apples to apples.

H2: Spot seasonal vacancy patterns before they hit your schedule

Seasonal vacancy patterns are one of the clearest signs in staffing data, but many teams don’t study them closely enough.

Ask yourself: when do openings rise, and in which departments? Is it tied to school schedules, holidays, vacation season, new budget cycles, or flu season? The answer will help you know when to hire earlier.

For example, if your lab team usually sees a rise in vacancies each fall, you can plan recruiting efforts in late summer. That may mean starting outreach earlier, pre-approving requisitions, or keeping a small pipeline ready before the rush starts.

This matters because seasonal gaps often lead to rushed hiring. Rushed hiring usually means:
Higher agency use
More overtime
Longer onboarding gaps
More pressure on staff who stay

Year over year, seasonal trends become easier to predict. Once you see the pattern, you can build a hiring calendar around it instead of waiting for the vacancy report to spike.

H2: Use cost per fill by unit to find where hiring gets expensive

Cost per fill by unit is one of the most useful staffing data points because it shows where hiring is draining resources.

A department with a low number of openings can still be expensive to staff if each hire takes too long or needs outside help. A department with a high volume of openings may be cheaper per role if it has a strong referral pipeline and low agency use.

Why does this matter? Because not all hiring problems cost the same.

Let’s say your outpatient surgery unit costs $4,000 to fill each role, while your scheduling team costs $1,200. That difference might come from longer interview cycles, higher compensation pressure, or more reliance on agency staff. Once you know that, you can ask better questions:
Are we posting the role in the right places?
Do we have the right pay range?
Are hiring managers moving fast enough?
Are we losing candidates after the first interview?

Cost per fill also helps you measure the impact of process changes. If you cut time to fill by two weeks and reduce agency use, you should see the cost per hire go down. That’s the kind of year-over-year improvement that matters.

H2: Compare agency vs. internal fill rates to reduce dependency

Agency staffing can solve short-term problems, but it gets expensive fast. That’s why agency vs. internal fill rates should be part of every staffing review.

Internal fill rates tell you how often you are moving current staff into open roles, filling from within, or using internal referrals and promotions. Agency fill rates show how often you need outside help to keep the schedule covered.

If agency use is climbing while internal fill rates are flat, you may have a pipeline problem. That could mean:
Not enough internal candidates ready for promotion
Weak retention in feeder roles
Slow hiring steps that push managers to agency support
Pay ranges that don’t compete well

This metric also helps you plan smarter for the year ahead. For example, if your med tech roles are often filled through internal moves, you can forecast vacancies in the source departments too. That gives you a fuller picture of what to recruit next.

A good annual plan doesn’t just ask, “How many people do we need?” It asks, “Where will they come from?”

H2: Track turnover by department so you can hire in the right places

Turnover by department is often where the real story starts. If one department loses staff far more often than others, hiring alone won’t fix the problem.

You need to know where turnover is highest, how often it happens, and whether it’s getting better or worse over time. Then look at the reason behind it if you have that data.

Common patterns include:
Supervisory issues in one department
Burnout from heavy workload
Weak onboarding
Pay compression
Limited growth opportunities
Schedule issues

For example, if your billing department has high turnover every spring, you may need to look at workload spikes, training gaps, or manager changes. If your front desk turnover is high across the whole year, the issue may be broader, like compensation or shift flexibility.

Year-over-year turnover data helps you separate one-time events from real trends. That matters because if you only look at this month or this quarter, you might fix the wrong problem.

H2: Turn your data into a better annual hiring plan

Data only helps if it changes what you do next. Once you’ve tracked the key numbers, use them to shape your yearly workforce plan.

Here’s a simple process:
Review last year’s staffing data by department
Look for seasonal vacancy patterns, high-cost units, and turnover hotspots
Compare agency vs. internal fill rates
Check where time to fill slowed down
Set hiring goals by unit, not just by headcount

Then build your plan around what the numbers are telling you.

If one unit has a history of high seasonal vacancies, start recruiting earlier.
If another unit has a high cost per fill, review the process before adding more budget.
If a department leans too heavily on agency staff, focus on internal pipeline building.
If turnover is rising in one area, fix the root cause before you add more requisitions.

This is where annual planning gets smarter. You’re not just reacting to last year’s problems. You’re using them to guide next year’s decisions.

H2: Keep the data clean and consistent

Good staffing data depends on clean tracking. If departments are coded differently from one year to the next, your comparisons won’t mean much.

Make sure your team agrees on:
Department names and codes
What counts as a fill
How to count internal moves
How to define agency use
How to track cost inputs
When to start and stop vacancy dates

Even small differences can change the story. If one manager logs a temporary reassignment as an internal fill and another doesn’t, your year-over-year reporting gets muddy fast.

You don’t need a perfect system. You do need a consistent one.

That consistency makes it easier to trust the data, explain the trends, and defend your staffing plan when budgets get tight.

Good staffing decisions don’t come from guesswork. They come from patterns you can see, measure, and act on. When you track seasonal vacancy patterns, cost per fill by unit, agency vs. internal fill rates, and turnover by department, you get a clearer view of what’s really happening across your workforce.

The payoff is simple: better planning, fewer surprises, and less money wasted on reactive hiring.

If you want help turning staffing data into a stronger hiring plan, ConnectHealth can help you look at the numbers and plan the year with more confidence.

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