A practical guide to booked, kept, and billable utilization—and the denominator that changes everything
When “see more patients” becomes the answer to every staffing problem, maybe we should take a closer look at the math.
There's a conversation I've heard in various forms throughout my career in behavioral health, and it usually starts with someone asking a seemingly reasonable question.
Do we need to hire another clinician?
Admissions says there aren't enough appointments available. Finance is concerned about payroll expenses. Clinical leadership insists the providers are already overwhelmed, but somewhere in the electronic medical record, a productivity report suggests they're only utilizing a portion of their available time.
Naturally, the conclusion is that everyone needs to become more productive.
Wonderful. Problem solved.
Except nobody has stopped to ask whether the numbers actually reflect the work being performed, how much time is realistically available for patient care, or why the organization seems to simultaneously have too much work and not enough productivity.
I've spent a considerable amount of time developing staffing models, evaluating provider schedules, and working with the financial and operational data that leadership teams use to make these decisions. And one thing I've learned is that productivity numbers can be incredibly valuable when they're calculated thoughtfully.
They can also be spectacularly misleading.
A clinician might have a full schedule but relatively few completed appointments. Another might have fewer direct patient encounters because they're responsible for supervision, clinical crises, or program development. A psychiatric provider completing twenty-minute medication follow-ups may have considerably more encounters than a therapist providing hour-long sessions.
And yet, somehow, organizations occasionally manage to put all these people on the same productivity report and begin comparing them as though they're doing identical work.
I appreciate a good spreadsheet as much as anyone, probably more than is socially acceptable.
But I think we need to be a little more careful about what we're asking the numbers to tell us.
Because there's a difference between measuring how effectively an organization uses its clinical capacity and creating performance expectations that make legitimate work appear unproductive.
And that difference matters, particularly in an industry already struggling with workforce shortages, burnout, and access to care.
Before We Decide Someone Isn't Productive, Can We Agree on What Productivity Means?
Therapist utilization sounds like a relatively straightforward concept. Essentially, we're trying to understand how much of a clinician's available time is being used to provide care.
The challenge is that available time and used time are not nearly as simple as they sound.
Consider a therapist who works forty hours each week.
From a financial perspective, the organization is paying for forty hours, so it might seem reasonable to expect those hours to translate into a certain amount of clinical productivity.
But what does that therapist actually do during those forty hours?
They're providing individual or group therapy, documenting sessions, developing treatment plans, coordinating care, communicating with other providers, attending required meetings, participating in consultation, completing training, and occasionally responding to situations that were not kind enough to schedule themselves in advance.
Depending on the setting, they may also be involved in family communication, discharge planning, utilization review, or clinical crisis management.
None of those responsibilities disappears simply because the organization would prefer more billable appointments.
And yet, some productivity calculations treat every hour that isn't spent directly with a patient as though it's unused capacity.
That's where I think we start creating problems.
Because if an organization hires someone to perform a role that includes direct care and several other necessary responsibilities, it can't reasonably turn around and evaluate that employee as though the other responsibilities require no time.
The expectation has to reflect the actual position.
And I think that's something leadership should establish before deciding whether a clinician is meeting productivity expectations.
It's also important to recognize that there are several different stages between having an appointment available and actually receiving payment for a service.
A provider may have time available for patients, have that time booked, complete the scheduled appointment, document the service appropriately, and ultimately submit something that meets the requirements for billing.
Those are related activities, but they aren't the same thing.
And understanding where the differences occur can tell us considerably more about the organization than simply reporting that someone is 65% utilized.
A Full Calendar and a Productive Schedule Aren't Necessarily the Same Thing
One of the things I find most useful when evaluating clinical capacity is separating the time a provider has available from the time that's booked, the time patients actually attend, and the services that can appropriately be billed.
I know that sounds like an unnecessarily detailed distinction.
But it becomes much more interesting when you look at an actual example.
Let's say a full-time outpatient therapist works forty hours per week. After accounting for legitimate responsibilities such as meetings, supervision, documentation, care coordination, and administrative tasks, the organization determines that thirty hours are realistically available for scheduled clinical services.
During a particular week, twenty-four of those hours are booked with patients.
That's an 80% booked utilization rate.
So far, not particularly concerning. There may be opportunities to improve scheduling or increase referrals, but the provider isn't necessarily responsible for whether admissions fills those remaining six hours.
Now suppose four hours of scheduled appointments don't occur because patients cancel or fail to attend.
The therapist ends up completing twenty hours of care, bringing actual completed utilization to approximately 67% of available clinical time.
That's a different problem.
The schedule was relatively full, but a portion of those appointments didn't happen.
And if the organization wants to improve performance, it might be more useful to investigate patient attendance, reminder systems, scheduling patterns, and cancellation follow-up than simply telling the therapist to see more clients.
Now imagine that of those twenty completed hours, nineteen meet the organization's definition of billable clinical time.
That puts billable utilization at approximately 63%.
Again, the distinction matters.
Why didn't the remaining completed hour become billable? Was there missing documentation, an authorization problem, a credentialing issue, or a service that was clinically appropriate but wasn't reimbursable under the applicable arrangement?
And even when a service is billable, that doesn't mean the organization has actually been paid for it. Claim submission, denials, payment posting, and collections are separate parts of the process.
Each stage tells us something different.
But here's where the calculation becomes especially interesting.
If leadership takes those nineteen billable hours and divides them by the employee's entire forty-hour workweek, that same therapist suddenly appears to have a productivity rate of 47.5%.
Which sounds considerably less impressive.
The arithmetic isn't wrong.
The interpretation is.
The organization has essentially decided to count ten hours of required work as though they were unused clinical capacity.
And then it may begin holding the employee accountable for failing to produce patient encounters during time that was never realistically available for them.
That's not a productivity problem. That's a problem with how the organization has defined the job.
Or, as I like to think of it, spreadsheet fiction.
Very official-looking spreadsheet fiction, but fiction nonetheless.
Not All Clinical Roles Are Created Equal
Another thing that complicates utilization measurement is how differently clinical roles function across behavioral health settings.
Even two therapists working within the same organization may have significantly different responsibilities.
One might primarily provide individual psychotherapy to a relatively stable outpatient population. Another may work with higher-acuity patients who require more extensive coordination, family involvement, crisis planning, or communication with other providers.
They may have similar appointment schedules, but the amount of work surrounding those appointments can look very different.
And I think we have to recognize that difference when developing expectations.
The same issue becomes even more obvious when we start looking at clinical supervisors and directors.
I've worked with clinical leaders who are expected to maintain a caseload while also supervising staff, reviewing documentation, managing incidents, coordinating programming, supporting utilization review, participating in leadership meetings, and addressing the endless assortment of problems that seem to gravitate toward anyone with the word director in their title.
Those responsibilities aren't optional.
They're part of the job.
So if an organization wants that person to increase their direct patient hours, it should probably be willing to discuss which other responsibilities will be reduced, reassigned, or eliminated.
Simply telling them to become more efficient doesn't necessarily create additional capacity.
Sometimes it just creates longer workdays.
And if the organization is consistently relying on people to complete required responsibilities during evenings, weekends, or unpaid time, the productivity report isn't accurately reflecting the resources needed to operate.
It's just making the budget look better.
Medical providers introduce another set of complications.
A psychiatric nurse practitioner completing relatively brief medication-management follow-ups may have considerably more patient encounters than a therapist providing sixty-minute sessions.
A new psychiatric evaluation requires different time and resources than an established-patient follow-up. TMS evaluations, medication-assisted treatment, ambulatory detox services, and other specialized clinical services may involve distinct appointment lengths, documentation needs, and billing requirements.
Comparing those providers based exclusively on the number of encounters completed doesn't tell us much about how effectively they're using their time.
It tells us that different services take different amounts of time.
A truly groundbreaking discovery.
Group programming can make the math even more entertaining.
Imagine a clinician facilitates a three-hour intensive outpatient group with eight patients.
From the perspective of staffing and available clinical time, that clinician delivered three hours of programming.
From the perspective of patient participation, the organization delivered twenty-four client-hours of treatment.
Both numbers are meaningful, but they describe different things.
And depending on payer contracts and the specific service model, the billing arrangement may involve individual service units, program-based reimbursement, or other requirements.
Those details matter when evaluating revenue.
But they don't change the fact that the clinician spent three hours facilitating the group.
I've seen how easy it is for organizations to combine encounter counts, service hours, patient attendance, and billable units without clearly distinguishing what each number represents.
Then someone starts making staffing decisions based on the result.
Which is why I think understanding the clinical model has to come before establishing productivity expectations.
Otherwise, we risk creating comparisons that look precise without being particularly meaningful.
When Did 100% Utilization Become the Goal?
I understand why organizations want to maximize clinical capacity.
Behavioral health services are expensive to operate, reimbursement can be unpredictable, and access to care remains a significant concern. Empty appointment slots represent potential services that aren't being delivered, and organizations have a responsibility to understand whether they're using their available resources effectively.
I don't think productivity expectations are inherently unreasonable.
But I do question the assumption that the goal should always be to fill every available clinical minute.
Because a schedule operating at 100% of its theoretical capacity leaves very little room for anything unexpected.
And if there's one thing behavioral health can reliably provide, it's the unexpected.
Patients experience crises. Appointments run longer than anticipated. A clinician needs additional consultation. A safety concern requires immediate attention. Someone needs an urgent appointment, a family situation becomes complicated, or a provider needs time to coordinate care appropriately.
Those things are part of delivering healthcare.
They aren't evidence that the employee has failed to manage their time.
And when an organization builds its staffing model around the assumption that nothing unexpected will happen, employees often end up absorbing the difference.
That can mean documenting after hours, skipping breaks, delaying nonurgent responsibilities, or gradually becoming overwhelmed by a workload that never seems to leave enough room for the realities of clinical care.
The U.S. Surgeon General's advisory on health worker burnout identifies excessive workloads, administrative burdens, limited control over scheduling, and inadequate organizational support as contributors to burnout.
Importantly, the advisory frames burnout as an organizational and systems problem rather than simply an individual failure to manage stress.
I think that's worth emphasizing.
We spend an enormous amount of time encouraging clinicians to establish healthy boundaries, prioritize self-care, and recognize the signs of burnout.
Those are important conversations.
But they become considerably less meaningful when the same organization is establishing productivity expectations that require employees to routinely work beyond their scheduled hours to meet them.
There's only so much a mindfulness app can accomplish when the underlying problem is a workload that doesn't fit into the workweek.
And the workforce implications are significant.
According to HRSA's 2025 State of the Behavioral Health Workforce brief, approximately 40% of the U.S. population lived in a designated Mental Health Professional Shortage Area as of December 2, 2025. The report also identified workforce and reimbursement challenges affecting access to services.
In an industry already facing significant provider shortages, I find it difficult to understand why we would want to establish performance models that make remaining in the profession unnecessarily exhausting.
But I also don't think protecting clinicians means avoiding conversations about productivity altogether.
A practice that consistently operates far below its sustainable capacity may experience financial difficulties that eventually affect employees and patients alike.
The objective should be to establish realistic expectations that support both quality care and financial sustainability.
The goal isn't maximum utilization. It's sustainable utilization.
And sustainable doesn't mean giving everyone an easy schedule.
It means understanding how much care can realistically be delivered without requiring employees to continually compensate for an operating model that doesn't account for the work.
Maybe We Don't Need Another Clinician. Maybe We Need to Understand the Ones We Have.
This brings me back to the question that so often starts these conversations.
Do we need to hire another provider?
Sometimes the answer is absolutely yes.
An organization may have strong demand, increasingly long wait times, limited appointment availability, and a clinical team that's already operating at a sustainable level of capacity.
In that situation, expanding staffing may be entirely appropriate.
But I think organizations should understand how they're using their existing resources before automatically concluding that they need to increase payroll.
Consider a program with one hundred hours of available clinical capacity each week.
If the organization realistically expects to book 85% of those hours, and its historical attendance patterns suggest that 90% of booked time will actually result in completed care, the program can expect approximately 76.5 hours of delivered clinical services.
That's a much more useful planning assumption than simply declaring that the organization has one hundred hours available.
It also gives leadership an opportunity to understand what might improve capacity without adding another employee.
Perhaps there are appointment times consistently left unfilled because the schedule doesn't align with when patients are available.
Maybe the admissions team isn't aware of open appointments, or the referral process is too slow to move appropriate patients into available slots.
Perhaps certain providers aren't credentialed with the payers responsible for a significant portion of the organization's inquiries.
Or maybe appointments are being scheduled consistently, but cancellations and no-shows are reducing the amount of care actually delivered.
Those are very different problems.
And they require different solutions.
A scheduling issue may call for redesigned appointment templates or better communication between admissions and clinical staff. An attendance problem might warrant examining reminder processes, transportation barriers, appointment times, or patient engagement.
Credentialing problems may require changes to payer enrollment and contracting workflows.
And sometimes the issue really is that the organization needs another qualified clinician.
But hiring someone won't necessarily resolve an ineffective intake process, poorly designed schedules, or a persistent attendance problem.
It might simply create another partially filled calendar and a larger payroll expense.
I think this is where operational leadership becomes especially important.
Rather than beginning with the assumption that the organization needs more people, more referrals, or more productivity, we should be examining what is actually limiting access to care.
And once we understand that constraint, we can make a more informed decision about how to address it.
A Productivity Report Should Create Curiosity, Not a Public Ranking of Who's Working Hardest
I've always been a strong believer in performance measurement and accountability.
I think organizations should understand how their resources are being used, whether employees are meeting reasonable expectations, and where operational improvements might be necessary.
But I also think the way leadership uses that information has an enormous influence on whether it becomes a helpful management tool or another source of employee frustration.
Take provider productivity reports.
When an organization publishes individual utilization rates without explaining differences in clinical roles, patient populations, schedules, or administrative responsibilities, it's easy to create an impression that some employees are working harder than others.
And perhaps that is sometimes the case.
But before reaching that conclusion, I'd want to understand whether the comparison is fair.
Does each provider have the same amount of available clinical time? Are their schedules equally accessible to admissions? Are they credentialed with comparable payers? Do they carry similar clinical responsibilities?
Are they serving patients with comparable levels of complexity?
And when appointments are canceled, does the organization have a reliable process for filling those openings?
Those questions matter because clinicians don't necessarily control every factor influencing their utilization.
A therapist can't provide a session to a patient who was never scheduled.
A provider may have limited opportunities to serve patients whose insurance plans they're not credentialed to accept.
And a clinical director can't reasonably be expected to provide direct care during time leadership has already assigned to supervision, meetings, or other required responsibilities.
I think organizations should hold employees accountable for the work they're responsible for and have the authority to influence.
But leadership needs to be equally accountable for the systems surrounding that work.
That means establishing clear expectations, maintaining accurate schedules, providing functional technology, supporting appropriate referrals, and ensuring the staffing model reflects the actual services being delivered.
And when a problem is identified, it means examining whether the underlying process needs to change before deciding the employee simply isn't performing.
I've seen how quickly performance measurement can become counterproductive when employees begin believing that the purpose of collecting information is primarily to identify someone to blame.
When that happens, the discussion often shifts away from understanding the problem and toward defending individual numbers.
Employees may become reluctant to raise concerns or document barriers they fear will reflect poorly on them.
And some performance incentives can unintentionally encourage clinicians to focus on what is easiest to measure rather than what is clinically most appropriate.
That might mean avoiding more complex patients, overbooking schedules, rushing appointments, or allowing necessary nonbillable work to receive less attention.
None of those outcomes is particularly helpful if the organization's stated goal is to improve clinical care.
I don't think we need to abandon productivity expectations to avoid those problems.
We need to be more thoughtful about how we establish them and how we respond when someone isn't meeting them.
Because a declining utilization rate should prompt investigation before judgment.
And sometimes, after examining the circumstances, the conclusion will be that an employee needs additional training, clearer expectations, or better performance management.
That's entirely reasonable.
But sometimes the data will reveal that the organization has created a position, schedule, or workflow that makes success unnecessarily difficult.
And leadership needs to be willing to acknowledge that possibility, too.
The Question Isn't Just How Much Care We're Delivering. It's Whether the Model Can Sustain It.
I think this is the part of provider utilization that gets lost when organizations become overly focused on percentages.
Utilization isn't simply a financial metric.
It's connected to patient access, clinical quality, employee workload, reimbursement, continuity of care, and organizational sustainability.
A program with consistently low utilization may struggle financially and fail to provide as much care as its existing capacity could support.
But a program with consistently excessive utilization may begin sacrificing the time necessary for documentation, supervision, clinical consultation, and appropriate patient care.
And neither of those situations represents a particularly healthy operating model.
That's why I think utilization data becomes most valuable when leadership examines it alongside other information.
If booked schedules are consistently full but completed appointments remain low, patient attendance probably deserves attention.
If completed care is strong but billable activity is unexpectedly low, the organization may need to examine documentation, authorization, coding, or payer requirements.
If providers are operating at very high utilization while documentation delays, employee turnover, or patient complaints increase, the organization should be curious about whether the workload is sustainable.
And if patients are experiencing long wait times despite apparently available clinical hours, leadership needs to understand why those hours aren't translating into accessible appointments.
The purpose of looking at these relationships isn't to create another enormous dashboard.
It's to understand what's happening well enough to make better decisions.
I've worked with enough complex reporting systems to know that an organization can track an impressive number of metrics and still struggle to identify the actual problem.
Sometimes the most useful question isn't what percentage someone achieved.
It's why the percentage changed, what influenced it, and whether the organization has the ability to improve the result.
And perhaps more importantly, whether improving that particular number would actually make the organization better.
Because if increasing utilization produces more completed appointments but also creates unsustainable workloads, declining documentation quality, or worsening patient experiences, I think we should be questioning whether we've really achieved the improvement we wanted.
Financial sustainability matters.
Access matters.
Clinical quality matters.
And so does having a workforce capable of continuing to deliver that care.
Those things shouldn't be treated as competing priorities simply because they're measured by different departments.
The Actual Point
I've spent a significant part of my career working in the space between clinical care and business operations, and I think it's given me an interesting perspective on how easily organizations can misunderstand their own performance.
Sometimes the problem is genuinely insufficient productivity.
Sometimes it's poor scheduling, ineffective admissions processes, staffing shortages, or reimbursement limitations.
And sometimes the organization has created expectations that don't reflect the work being performed, then becomes frustrated when employees struggle to meet them.
What interests me isn't finding a way to make the productivity report look better.
It's understanding what the report is actually telling us.
If a clinician has unused appointment time, why is it unused? If patients aren't attending scheduled services, what's contributing to that? If completed care isn't translating into billable activity, where is the process breaking down?
And if a provider is consistently overwhelmed despite appearing underutilized, perhaps we should examine how their responsibilities have been allocated before deciding that the solution is to give them more patients.
I think those are much more useful conversations than simply announcing that everyone needs to increase productivity by 10%.
Because the numbers don't exist independently of the people and systems producing them.
A therapist's utilization rate is influenced by scheduling, patient attendance, clinical complexity, documentation, referrals, payer participation, staffing decisions, and the actual responsibilities of the role.
And leadership has a considerable amount of influence over those conditions.
Which means accountability needs to extend beyond the individual provider.
I don't believe behavioral health organizations can afford to ignore productivity or operate without clear financial expectations. The ability to deliver consistent care depends on organizations remaining financially viable.
But I also don't believe we can solve workforce shortages, improve access, or sustain quality treatment by continually asking clinicians to absorb more work without examining whether our expectations make sense.
At some point, we have to recognize that efficiency isn't simply about fitting more appointments into a schedule.
Sometimes it's about removing unnecessary barriers, improving workflows, supporting employees appropriately, and making better use of the capacity that already exists.
And sometimes it means acknowledging that the organization genuinely needs additional staff.
The important thing is knowing the difference.
Because if the same provider is responsible for patient care, documentation, supervision, treatment coordination, crisis response, and half the administrative tasks nobody else has time to manage, I'm not particularly interested in hearing that they're only 50% productive until we've established what that percentage actually represents.
A clinician isn't underutilized simply because the organization's spreadsheet doesn't know what to do with the rest of their job.
And if we're going to make decisions about staffing, compensation, access, and clinical performance based on those numbers, I think the least we can do is make sure we're measuring the right things.
Preferably before we announce another exciting initiative to improve productivity.
Because sometimes the people aren't the problem.
Sometimes it's the math.
