Most rehabilitation does not happen during scheduled appointments. A physical therapy visit produces a detailed snapshot: how the shoulder moves today, what the patient reports today, what the clinician observes and measures today. Then the patient goes home, and the next several days of recovery unfold without the care team in the room.
That is where pain changes. It is where the home exercise program gets completed, modified, or quietly abandoned. It is where a patient decides a movement feels wrong and stops doing it, or pushes through something they should have asked about first. By the next appointment, days of experience have often been compressed into a single recollection: it has been about the same.
Remote Therapeutic Monitoring gives clinicians a structured way to see more of that period while it is still happening. Depending on the program and the platform, that can include adherence, pain, function, mobility, activity, and how a patient is responding to what was prescribed. What follows is not an argument that monitoring by itself changes recovery. It is a look at what between-visit visibility actually offers a rehabilitation team, what is worth collecting, and what should happen when the information suggests something has changed.
72%
of patients receiving in-person PT with RTM met the Functional Status Benchmark, compared with 63% receiving in-person PT alone
1,224
matched patients across 95 private-practice physical therapy clinics in that 2025 retrospective analysis
13
RTM studies included in a 2026 systematic review of remote monitoring in musculoskeletal pain care
What is the connection between Remote Therapeutic Monitoring and patient adherence?
RTM connects to patient adherence in one specific way: it makes adherence observable. Remote Therapeutic Monitoring does not, on its own, make a patient more likely to complete a home exercise program. What it can do is surface a change in engagement close to when that change happens, so the care team has the opportunity to find out why.
That distinction matters clinically, because adherence is rarely only a question of willingness. A patient who stops completing exercises or stops responding to check-ins is usually telling the care team something, even if they have not said it in words.
What a drop in engagement may be signaling
Increased pain, or new pain the patient is uncertain about
Uncertainty about how to perform a prescribed exercise correctly
A program that is too difficult, too long, or hard to fit into the day
Declining motivation as early progress begins to plateau
Technology problems, from a forgotten login to a device that stopped syncing
Changing life circumstances: work, travel, caregiving, transportation
Concern about a symptom the patient is waiting to raise at the next visit
This is where tracking adherence and using adherence clinically diverge. Tracking produces a number. Using it clinically means treating that number as a prompt: what changed, when did it change, and does the reason call for a clinical response, a conversation, or nothing at all. A platform can show that a patient completed two of nine prescribed sessions last week. Only the clinician can determine whether that reflects a shoulder that is flaring, a program that needs to be simplified, or a week that simply got away from someone.
Why does between-visit visibility matter?
Because appointments are samples and recovery is continuous. A patient seen twice a week is directly observed for roughly an hour out of more than a hundred waking hours, and the remainder is where most of the meaningful change occurs.
Pain intensity moves. Mobility improves or regresses. Activity tolerance shifts. Exercises get completed or skipped. Symptoms appear and resolve. Under a visit-only model, all of that reaches the clinician through retrospective recall at the next appointment, filtered through however well a patient remembers a week they were not tracking.
Care beyond the clinic is not a replacement for the appointment. It changes what the appointment starts with. A clinician who can see that pain scores rose midweek and settled again, or that a patient stopped logging one specific exercise, begins the visit with a question instead of an interview. The goal is a more continuous understanding of the recovery trajectory, not more data for its own sake.
How can RTM support home exercise program adherence?
RTM can support home exercise program adherence by showing the care team what is actually happening with the program between visits, and by shortening the delay between a problem appearing and someone noticing it. The support comes from the follow-up, not from the tracking.
Depending on how a program is configured, clinicians may gain visibility into exercise completion over time, missed check-ins, adherence trends rather than single days, pain reported in connection with specific prescribed movements, patient-reported difficulty, and how a patient responds to a change in dosage. Many of those would otherwise surface only at the next appointment, or not at all.
The useful response depends on what the information suggests. Sometimes it is a short outreach call. Sometimes it is clarification, because the patient was performing a movement differently than intended. Sometimes it is coaching, a modified exercise, a reduced dosage, or additional education. Often the right response is continued monitoring, because a single missed day inside an otherwise consistent pattern is not a clinical event. Not every gap requires an intervention, and treating it as though it does is how monitoring turns into noise.
Adherence is also shaped by factors that have little to do with effort. Our review of the barriers to home exercise program adherence and their impact on patient outcomes examines why patients disengage in more depth, and those barriers are precisely the ones between-visit monitoring is most likely to expose early.
Which patients may benefit most from RTM?
RTM is not appropriate for every patient. It is most defensible when additional between-visit information could realistically change how a patient is managed, and when the patient is able to participate in producing that information.
Patients who tend to fit that description include post-operative rehabilitation patients in a protocol-driven recovery, patients with meaningful day-to-day symptom variability, patients with chronic musculoskeletal conditions managed over longer horizons, and patients whose home program carries most of the therapeutic load between relatively infrequent visits. Physician-led musculoskeletal and orthopedic practices see many of the same profiles, particularly in the post-operative window.
The screening question is not whether a patient could be enrolled. It is whether clinical necessity, actionable information, and the patient's ability to engage with the technology all hold at once. When one of those is missing, enrollment adds burden without adding clinical value. Indiscriminate enrollment is also the fastest way to build a program that neither clinicians nor reviewers can defend.
What should clinicians monitor between visits?
Monitor what you would act on. In musculoskeletal rehabilitation that usually means adherence to the prescribed program, pain, function, mobility, activity, patient-reported outcome measures, and response to treatment, along with any meaningful change in symptoms the patient flags.
The harder discipline is deciding what not to collect. Modern platforms can capture far more than a clinician can reasonably review, and every additional field becomes something a person has to look at, interpret, and document.
“Before adding a data point, ask what you would do differently because you know it. If the answer is nothing, it is burden rather than information.”
That test tends to shrink monitoring plans, which is usually the right outcome. A smaller set of clinically relevant measures reviewed consistently is worth more than a broad set reviewed occasionally.
Respond to patterns, not isolated data points
Pain fluctuates. Activity varies with the week. Patients miss exercises for ordinary reasons. A single deviation is not a clinical signal, and treating it as one trains a team to stop looking.
Between-visit information should be interpreted against context the clinician already holds: the patient's baseline, the pattern that patient has established, the diagnosis, the expected recovery trajectory, and the current plan of care. A pain score of five means one thing in week one after surgery, something else in week eight, and something else again in a patient whose scores have never dropped below four.
What warrants attention is a sustained or meaningful change. Adherence that declines and stays down. Pain that trends upward across a week rather than spiking for a day. Function that plateaus when it was expected to progress. A patient who disengages entirely.
This is also the practical case against overly sensitive alerting. A system that flags every missed session generates volume no one can triage, and the predictable result is that clinicians stop trusting alerts and begin ignoring them. Alert fatigue does not only waste time. It quietly removes the safety value the monitoring was meant to add.
What should happen when patient adherence drops?
When adherence drops, establish the reason before deciding on a response. A sustained decline is a finding to be investigated, not a behavior to be corrected. A repeatable sequence keeps that from depending on which clinician happens to notice.
Step 01
Identify the change
Separate a real change from normal variation. Look at the trend across the recent monitoring period rather than at the most recent day.
Step 02
Review the patient's recent pattern
Compare the change against that patient's own baseline: adherence, reported pain, function, and where they should be in the plan of care at this point.
Step 03
Ask the patient what changed
Specific, observation-based outreach produces better information than a generic reminder. Noting that a patient stopped logging one particular exercise about a week ago, and that pain scores rose on those days, invites an answer that an automated nudge does not.
Step 04
Determine what kind of problem it is
Clinical, behavioral, technical, or situational. The four call for very different responses, and misreading a technical problem as a motivation problem is a common error.
Step 05
Decide whether clinical action is appropriate
Sometimes the appropriate action is continued monitoring with a note. Not every finding calls for a change to the plan of care.
Step 06
Adjust the plan or provide support
Modify the exercise or the dosage, add education, resolve the technology issue, or bring the patient in sooner if the findings warrant it.
Step 07
Document the clinical reasoning and the action
Record what was observed, what it was interpreted to mean, what was done, and why. That record is what makes the episode clinically coherent and administratively defensible.
The step most often skipped is the third. It is faster to send a reminder than to ask a question, and reminders do have a role in keeping a program running. But a reminder cannot tell you that a patient stopped because their knee started giving way on stairs.
How can RTM support better patient outcomes?
The plausible mechanism is indirect. Additional between-visit visibility does not treat anyone. It can support earlier recognition of barriers, better-informed clinical decisions, more relevant patient outreach, more timely treatment adjustments, better continuity between appointments, stronger patient engagement, and a clearer view of the recovery trajectory. Every one of those steps still has to be taken by a clinician.
What a 2025 multi-clinic analysis found
A retrospective case-control study across 95 private-practice physical therapy clinics compared patients who received in-person physical therapy with RTM against matched patients who received in-person physical therapy alone.
72% of the RTM group achieved the Functional Status Benchmark, compared with 63% of the control group (P = .004)
306 RTM patients were matched to 918 controls on age, sex, case type, and initial functional status score
36% of the RTM group attended more than two visits per week, compared with 24% of controls (P < .001)
In the adjusted model, RTM participation remained a significant predictor (adjusted odds ratio 1.52; 95% CI 1.04 to 2.22)
Those findings are worth taking seriously and worth reading carefully. This was a retrospective observational study, not a randomized controlled trial, so it cannot establish that RTM caused the difference. The authors note that enrollment was opt-in, which means the RTM group may have differed in motivation and technology access in ways that matching cannot fully remove, and that treatment plans were not controlled. The full paper is published in Archives of Rehabilitation Research and Clinical Translation.
The wider evidence base is younger than the enthusiasm around it. A 2026 systematic review in the Journal of Pain Research examined 13 RTM studies alongside nine remote physiologic monitoring studies in musculoskeletal and pain care. It reported consistently high engagement and acceptability but mixed effects on pain and function, and concluded that most RTM research remains at a feasibility and satisfaction stage rather than demonstrating clinical efficacy. The authors called for larger randomized trials with standardized functional outcomes.
The honest read is that early evidence is encouraging and incomplete. That is a reason to build RTM programs around clinical reasoning that would stand on its own, rather than around an outcome claim the literature does not yet support.
How can practices use RTM without increasing clinician workload?
By designing the review work into the clinical day rather than adding it to the end of one. RTM becomes a burden when it lives in a separate queue someone is expected to get to. It becomes sustainable when there is a fixed time for review, a clear owner for every task, and a short list of things that genuinely require a clinician.
Protect a fixed review cadence
A predictable slot, whether that is fifteen minutes at the start of the day or a defined block twice a week, works better than an expectation to check continuously. Reviews that happen on a schedule get done. Reviews that depend on finding a gap do not.
Make roles explicit
Enrollment, onboarding support, technology troubleshooting, and routine follow-up can often be handled by trained support staff. Clinical interpretation, changes to the plan of care, and clinical communication belong with the treating clinician. Separating administrative from clinical responsibility protects the clinician's time and the program's integrity at once, and it also mirrors how RTM activity is expected to be documented.
Tune alerts to what matters
Alerts should reflect clinically meaningful thresholds and sustained changes, with a defined escalation path for anything urgent. If a clinician's first instinct on seeing a notification is to dismiss it, the threshold is wrong. Standardizing the workflow across clinicians also makes coverage possible when someone is out.
This is largely an operational problem rather than a technology problem, and it is where most programs either take hold or stall. Our guide to building an RTM workflow your team will actually use goes further into cadence, ownership, and adoption.
Clinical care first. Billing follows.
Remote Therapeutic Monitoring created a reimbursement framework for legitimate clinical work that was already happening between visits and previously went unpaid. The sequence that keeps a program defensible runs in one direction.
Documentation records that chain, and billing rests on the documentation. The inverse sequence, in which a reimbursement opportunity drives broad enrollment and the clinical justification is assembled afterward, produces programs that are hard to defend and rarely useful to patients. Clinical activity should drive reimbursement, not the reverse.
What that looks like in the record is its own discipline. Our practical guide to RTM billing and documentation covers what to capture at each stage of the episode, code by code.
Where can practices learn how to implement RTM?
Implementation is its own body of work: workflow design, patient selection criteria, role ownership, clinical processes, documentation standards, patient engagement, and technology selection. Each of those decisions shapes whether the visibility described here ever reaches a clinician in a form they can use.
For practices earlier in that process, RTM 101 for practice owners covers the fundamentals before a first episode, and your first 90 days with RTM lays out a practical launch sequence. The Remote Therapeutic Monitoring overview explains how the pieces fit together day to day.
The Practitioner's Guide to Remote Therapeutic Monitoring goes deeper than any single article can: RTM fundamentals and clinical best practices, patient selection, CY2026 billing and compliance, delivery models and staffing, patient engagement and front-office involvement, and vendor evaluation. It also includes working tools, among them a CPT quick-reference, patient consent language, a vendor evaluation scorecard, and enrollment guidance.
None of it starts with software. It starts with deciding what you want to know about your patients between visits, and what you intend to do when you find out.
A note on this article
This article is general educational information about how Remote Therapeutic Monitoring can be used in rehabilitation and musculoskeletal care. It is not medical advice, and it is not billing, coding, or reimbursement advice. Clinical decisions about individual patients rest with the treating clinician. CPT code requirements, payer policies, and coverage rules change over time and vary by payer and jurisdiction. Research cited here is summarized as reported by its authors, including the limitations those authors state.