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Getting Paid for Your RPM Services

4 min read

Remote patient monitoring programs are a win-win for primary care practices and the patients they serve. Billing for remote patient monitoring generates additional revenue for medical practices that allows providers to improve their quality of care. To successfully bill for RPM services, you’ll need to know the various CPT codes associated with RPM services and understand how different insurers reimburse for these services. This article covers each RPM billing code individually, explaining how and when to use it, and concludes by reviewing RPM coverage guidelines for patients on Medicare and private insurance.

Remote Patient Monitoring Billing Codes and How to Use Them

Accurate insurance billing is one of the most important ingredients to running a profitable primary care practice. Knowing how and when to use RPM CPT codes will enable you to fully bill for all allowable RPM services, ensuring a more robust and reliable revenue stream.

CPT 99453

Use CPT 99453 to bill for the initial setup of connected health devices used to monitor patient health parameters like respiratory flow rate, blood pressure, and pulse oximetry. Services under this code include device set-up and patient education on the proper use of equipment. The 2022 national average for Medicare reimbursement when using this billing code is $18.48 per patient for a one-time initial setup.

CPT 99454

Use CPT 99454 to bill for at least 16 days of remote patient monitoring services per 30-day period. This code requires that the RPM device supply readings or deliver programmed alerts that transmit during at least 16 days within the 30-day period. The 2022 national average for Medicare reimbursement when using this billing code is $55.77 per patient per month, or $668.64 per patient annually.

CPT 99457

CPT 99457 is used to bill for remote physiologic monitoring treatment management services of 20 minutes or more of a clinical staff/physician/other qualified healthcare professional time. In order to use this billing code, there must be at least one interactive communication between the patient and their healthcare provider per month. The 2022 national average for Medicare reimbursement when using this billing code is $50.18 per patient per month, or $602.16 per patient annually.

CPT 99458

CPT 99458 carries the same description and requirements as CPT 99457 but allows providers to bill for a second interactive communication during the month being billed. The 2022 national average for Medicare reimbursement when using this billing code is $40.84 per patient per month, or $490.08 per patient annually.

Medicare Insurance Guidelines for RPM Services

The Centers for Medicare and Medicaid Services (CMS) have four requirements for practice billing for remote patient monitoring services. Documenting that these guidelines have been followed will streamline the reimbursement process and ensure you have adequate proof that these requirements were followed.

Patient copay amount

CMS requires that patients covered under Medicare Part B be charged a 20% copayment. Choosing to waive these copayments may result in federal fines for providers.

Patient consent

Providers must gain consent from patients to provide remote patient monitoring services. This consent can be provided prior to delivering the service, either verbally or in writing.

Required monthly monitoring duration

In order to bill CMS for remote patient monitoring services, patients must be monitored for at least 16 days per billing period. Health data collected by remote patient monitoring devices can be wirelessly synced for evaluation by the patient’s provider.

RPM service must be ordered by a physician or other healthcare provider

In order to initiate patient participation in a remote patient monitoring program, RPM must be ordered by the patient’s doctor or other qualified health professional. These individuals could include a nurse practitioner, certified nurse specialist, or a physician assistant.

State Medicaid Coverage for RPM Services

Patients covered by state Medicaid programs are often eligible for remote patient monitoring programs. In fact, according to the Center for Connected Health Policy (CCHP), over half of state Medicaid programs will provide reimbursement for RPM. Since every state administers its own Medicaid program, guidelines and coverage restrictions vary. This comprehensive resource from CCHP lists the remote patient monitoring policies for each state Medicaid program.

Commercial Insurance Coverage for RPM Services

Commercial insurance providers have embraced remote patient monitoring technology. This trend toward greater coverage was accelerated during the height of the COVID-19 pandemic and hasn’t shown signs of slowing. As a result, the vast majority of private health insurers now reimburse for remote patient monitoring services for eligible patients covered under one of their policies.

Grow Your RPM Program with Withings Health Solutions

Withings Health Solutions is an industry leader in remote patient monitoring. Our FDA-approved medical-grade devices feature intuitive, patient-friendly designs that create higher levels of user engagement. Withings RPM, an all-in-one remote patient monitoring solution, comes with an AI-powered digital assistant that lets participants engage more fully.

Additionally, practices can automatically record time spent on patients for streamlined claim creation. With Withings RPM, you can grow your practice by easily tracking time spent on the platform by your practice to bill CPT codes and get reimbursed for remote patient monitoring. You can also automatically track the time spent monitoring patient measurements to build comprehensive, CMS-compliant billing reports. The solution also builds audit reports to ensure that your RPM records are audit-proof. You can have all RPM services charges automatically uploaded directly into your EHR, ready for submission.

Our experienced support team makes starting a new remote patient monitoring program easy. Withings Health Solutions handles all of the onboarding and managing support, so your care teams can focus on what matters most, providing high-quality care to patients.

Learn more about Withings Health Solutions for remote patient monitoring.

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The World Health Organization recently released its first global guideline on the use of GLP-1–based therapies for obesity, a milestone that signals a major shift in how health systems worldwide should approach long-term obesity care.

 

For obesity programs, digital-health organizations, and chronic-care providers, the message is clear: GLP-1s can be valuable tools, but only when embedded within a structured framework of behavioral support, lifestyle intervention, and ongoing monitoring.

 

Here’s a guide to what programs need to understand and how to prepare.

 

1. WHO Defines Obesity as a Chronic, Relapsing Disease, Not a Short-Term Problem or Fix

The guideline reinforces a position many clinicians already share: obesity requires ongoing management similar to other chronic diseases.


This means obesity programs must prioritize continuity, long-term engagement, and structured monitoring, not episodic care. Many times patients see weight loss as a goal that they reach and that concludes their obesity care journey. The WHO emphasizes the ongoing nature of obesity as a disease, and obesity care as a necessity.

 

2. GLP-1s Are Recommended Conditionally and Only as Part of Comprehensive Care

WHO does not recommend medication alone. The guideline emphasizes:

  • GLP-1 therapies should be considered as one component of a broader care plan.

  • Treatment decisions should reflect patient context, preferences, and access.

  • Programs must integrate behavioral interventions and lifestyle support alongside medication.

For organizations delivering obesity care, this signals a need to strengthen or formalize their behavioral-support models, including coaching, education, medical nutrition therapy (MNT), activity support, and digital engagement.

 

3. Behavioral Support Is Essential-Not Optional

The guideline places intensive behavioral therapy (IBT) at the center of obesity care. Programs should ensure they can offer:

  • Structured lifestyle guidance

  • Goal setting and personalized plans

  • Coaching or counseling pathways

  • Tools for sustained behavior change

  • Ongoing check-ins and accountability

 

  • Medical nutrition therapy (MNT) when needed

This isn’t merely additive, it is foundational to responsible GLP-1 prescribing and to long-term patient outcomes.

 

6. Monitoring Frameworks Must Become Core Infrastructure

One of the most operationally important implications for obesity programs is WHO’s emphasis on continuous monitoring and follow-up.


Because obesity is chronic and GLP-1 outcomes evolve over time, programs need systems that can:

 

  • Track weight, body composition, and metabolic markers

  • Detect early signs of weight regain or treatment non-response

  • Support long-term engagement after dose changes or discontinuation

  • Ensure care teams can intervene proactively and remain the decision makers

This is where digital health infrastructure becomes essential. Connected devices, remote monitoring, and automated data flows make it possible to support thousands of patients consistently without adding extensive labor burden to clinical teams.

 

7. What Obesity Programs Should Do Next

To align with WHO’s guidance and strengthen patient outcomes, programs can begin by:

 

  1. Evaluating their behavioral-support offering - ensuring it is structured, consistent, and accessible.

  2. Implementing device-based monitoring- enabling ongoing, objective tracking of patient progress without the barriers of in-office care.

  3. Ensuring continuity models beyond initial weight loss - including maintenance and relapse-prevention.

  4. Building customizable data workflows that let care teams intervene early, efficiently, and at scale, while keeping the decision-making in the hands of the clinician.

  5. Partnering with technology providers already equipped to deliver these components reliably.

The Bottom Line for Obesity Programs

The new WHO guideline is not simply a statement on medications. It is a blueprint for comprehensive, long-term obesity care. Programs that combine medication, behavioral support, and robust monitoring will be best positioned to deliver durable outcomes, meet patient expectations, reduce clinical burden, and scale responsibly.

 

Withings Health Solutions stands ready to support that evolution with the technology, partnerships, and evidence-aligned frameworks that make multimodal obesity care possible.



Interested in partnering with us?

Contact Us [post_title] => What Obesity Care Programs Need to Know About WHO’s New GLP-1 Guidelines [post_excerpt] => Learn what obesity care programs need to know about the new World Health Organization GLP-1 guidelines for obesity care. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => what-obesity-care-programs-need-to-know-about-whos-new-obesity-treatment-guidelines [to_ping] => [pinged] => [post_modified] => 2025-12-23 09:52:11 [post_modified_gmt] => 2025-12-23 09:52:11 [post_content_filtered] => [post_parent] => 0 [guid] => https://withingshealthsolutions.com/?p=2088 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [1] => WP_Post Object ( [ID] => 2083 [post_author] => 11 [post_date] => 2025-12-02 20:22:02 [post_date_gmt] => 2025-12-02 20:22:02 [post_content] =>

Chronic Kidney Disease stage 5 on dialysis (CKD5D) presents one of the most complex and high-risk scenarios in modern medicine. Among the many challenges faced by these patients, cardiovascular disease (CVD) stands out as the leading cause of mortality—a stark reminder of the systemic stress that accompanies kidney failure and dialysis.

 

But what if technology could help bridge the gap between dialysis sessions, offering clinicians a window into the patient's health in real-time? An article in Frontiers in Nephrology explores exactly that, highlighting the transformative potential of digital health technologies to monitor and manage CKD5D patients beyond the clinic.

The Hidden Risks Between Dialysis Sessions

For CKD5D patients, the risks of CVD are amplified by both traditional and disease-specific factors:

  • Traditional risks like hypertension, diabetes, and obesity.
  • CKD-specific risks such as inflammation, fluid overload, protein-energy wasting and vascular calcification.
  • The dialysis process itself, which induces rapid fluid shifts, blood pressure fluctuations, and metabolic imbalances.

Current clinical care models often focus on in-center dialysis data, leaving a crucial blind spot during the interdialytic period—a time when many adverse events begin to develop unnoticed.

A New Monitoring Paradigm: The Withings Toolkit

The article introduces a compelling case for home-based, connected health technologies—specifically, the Withings toolkit. This suite of medical-grade, consumer-friendly devices allows CKD patients to monitor key health indicators in the comfort of their homes:

  • Weight, body composition and ECG monitoring with the BodyScan smart scale.
  • Blood pressure, heart rate and survey responses for added context via BPM Pro 2.
  • Sleep quality and breathing event metrics using the Sleep Rx.

All data is seamlessly uploaded to the Withings Remote Patient Monitoring platform, providing healthcare providers and researchers with real-time, longitudinal insights into a patient’s well-being.

Why This Matters: Real-World Clinical Benefits

 

1. Early Detection of Complications
Weight gain could signal fluid retention, but muscle loss could indicate protein-energy wasting. A sudden spike in blood pressure or irregular heartbeat might indicate arrhythmias or volume overload. Poor sleep patterns could reflect apnea or restless leg syndrome—conditions with known ties to CKD.

 

2. Personalized, Data-Driven Care
These devices enable a dynamic view of health trends, allowing clinicians to tailor treatments proactively rather than reactively. Medication adjustments, fluid restrictions, or further diagnostics can be made with greater confidence.

 

3. Patient Empowerment

When patients can see and understand their own data, they become more engaged in their care. This promotes better self-management, increased treatment adherence, and a stronger sense of control over their condition.

 

4. Systemic Healthcare Advantages
Remote monitoring can reduce emergency visits and hospitalizations, easing the burden on overtaxed healthcare systems and offering a cost-effective alternative to frequent in-person evaluations.

The Future: Digital Tools as Standard of Care?

While still in its early stages, this integration of digital health into CKD care reflects a broader movement toward remote, preventative, and personalized medicine. The Withings case study serves as a promising example of how everyday technology can be adapted to serve complex clinical needs.

 

However, as the authors note, more clinical trials are needed to validate these tools in nephrology settings, establish protocols for data use, and ensure equitable access across diverse patient populations.

Final Thoughts

As we face growing rates of kidney disease and limited nephrology resources, connected health technologies offer a lifeline—not just to patients, but to an entire care infrastructure in need of modernization.


The Withings toolkit is more than a gadget suite; it's a glimpse into the future of chronic disease management, where data flows continuously, care is adaptive, and patients are active participants in their own health journey.

Reference:
Article: Frontiers in Nephrology, 2023 - DOI: 10.3389/fneph.2023.1148565

Interested in partnering with us?

Contact Us [post_title] => Revolutionizing Chronic Kidney Disease Management with Digital Health Tools: The Withings Case Study [post_excerpt] => Researchers from Imperial College London explored how continuous, contactless sleep monitoring using the Withings Sleep Analyzer can be used to detect acute conditions, focusing particularly on urinary tract infections (UTIs) before patients even recognize symptoms. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => revolutionizing-chronic-kidney-disease-management-with-digital-health-tools-the-withings-case-study [to_ping] => [pinged] => [post_modified] => 2025-12-02 20:22:24 [post_modified_gmt] => 2025-12-02 20:22:24 [post_content_filtered] => [post_parent] => 0 [guid] => https://withingshealthsolutions.com/?p=2083 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [2] => WP_Post Object ( [ID] => 2064 [post_author] => 11 [post_date] => 2025-12-02 20:08:23 [post_date_gmt] => 2025-12-02 20:08:23 [post_content] =>

Introduction

A recent study published in Frontiers in Digital Health by Capstick et al. (2024) underscores an emerging insight in connected care: our sleep may hold the earliest signs of illness. The researchers explored how continuous, contactless sleep monitoring using the Withings Sleep Analyzer can be used to detect acute conditions, focusing particularly on urinary tract infections (UTIs) before patients even recognize symptoms.

Why UTIs Matter

UTIs are among the most common bacterial infections and can have serious consequences, especially for older adults. Elderly patients are often less likely to recognize or report early symptoms, as infections may present atypically with fatigue, confusion, or subtle behavioral changes rather than the classic urinary urgency or burning. Cognitive decline, sensory changes, and overlapping chronic conditions can further delay diagnosis, increasing the risk of severe complications such as sepsis or hospitalization (National Institute on Aging).

Sleep as a Source of Early Clues

The study found that changes in nocturnal physiology such as altered heart rate, respiratory rate, movement patterns, and restlessness can signal infection onset days before clinical diagnosis. These signals are detectable through non-contact sensors that monitor sleep continuously in the home environment.

 

Capstick and colleagues demonstrated that automated analysis of nightly biometric data could identify deviations associated with early infection, including UTIs. Because sleep reflects autonomic nervous system activity and systemic inflammation, subtle physiological disruptions during rest can serve as early indicators of infection or other health deterioration.

Implications for Remote Monitoring

These findings highlight how sleep monitoring could serve as a low-burden, scalable screening tool for early infection detection, particularly for vulnerable populations such as older adults, individuals in long-term care, or patients with chronic diseases. Integrating this capability into remote monitoring programs could help clinicians:

  • Detect infections earlier and initiate treatment sooner.
  • Reduce emergency visits and hospitalizations linked to delayed diagnosis.
  • Monitor recovery and flag recurrence through ongoing nocturnal data.

A New Frontier for Preventive Care

The study reinforces the growing role of connected devices in transforming passive observation into proactive health surveillance. By continuously analyzing sleep patterns, care teams can detect not only chronic deterioration but also acute, time-sensitive conditions like UTIs.

As the authors note, sleep monitoring technologies offer “an opportunity to identify clinically significant events earlier than would otherwise be possible.” For connected health innovators, this opens a new frontier: turning nightly rest into a source of life-saving insight.

Reference:
 Capstick A, et al. Digital remote monitoring for screening and early detection of disease using nocturnal physiological signals. Frontiers in Digital Health. 2024. Available via PMC.

Interested in partnering with us?

Contact Us [post_title] => Sleep as an Early Warning System: Detecting Hidden Health Risks Like Urinary Tract Infections [post_excerpt] => Researchers from Imperial College London explored how continuous, contactless sleep monitoring using the Withings Sleep Analyzer can be used to detect acute conditions, focusing particularly on urinary tract infections (UTIs) before patients even recognize symptoms. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => sleep-as-an-early-warning-system-detecting-hidden-health-risks-like-urinary-tract-infections [to_ping] => [pinged] => [post_modified] => 2025-12-02 20:08:24 [post_modified_gmt] => 2025-12-02 20:08:24 [post_content_filtered] => [post_parent] => 0 [guid] => https://withingshealthsolutions.com/?p=2064 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 3 [current_post] => -1 [before_loop] => 1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 2088 [post_author] => 11 [post_date] => 2025-12-15 15:48:18 [post_date_gmt] => 2025-12-15 15:48:18 [post_content] =>

The World Health Organization recently released its first global guideline on the use of GLP-1–based therapies for obesity, a milestone that signals a major shift in how health systems worldwide should approach long-term obesity care.

 

For obesity programs, digital-health organizations, and chronic-care providers, the message is clear: GLP-1s can be valuable tools, but only when embedded within a structured framework of behavioral support, lifestyle intervention, and ongoing monitoring.

 

Here’s a guide to what programs need to understand and how to prepare.

 

1. WHO Defines Obesity as a Chronic, Relapsing Disease, Not a Short-Term Problem or Fix

The guideline reinforces a position many clinicians already share: obesity requires ongoing management similar to other chronic diseases.


This means obesity programs must prioritize continuity, long-term engagement, and structured monitoring, not episodic care. Many times patients see weight loss as a goal that they reach and that concludes their obesity care journey. The WHO emphasizes the ongoing nature of obesity as a disease, and obesity care as a necessity.

 

2. GLP-1s Are Recommended Conditionally and Only as Part of Comprehensive Care

WHO does not recommend medication alone. The guideline emphasizes:

  • GLP-1 therapies should be considered as one component of a broader care plan.

  • Treatment decisions should reflect patient context, preferences, and access.

  • Programs must integrate behavioral interventions and lifestyle support alongside medication.

For organizations delivering obesity care, this signals a need to strengthen or formalize their behavioral-support models, including coaching, education, medical nutrition therapy (MNT), activity support, and digital engagement.

 

3. Behavioral Support Is Essential-Not Optional

The guideline places intensive behavioral therapy (IBT) at the center of obesity care. Programs should ensure they can offer:

  • Structured lifestyle guidance

  • Goal setting and personalized plans

  • Coaching or counseling pathways

  • Tools for sustained behavior change

  • Ongoing check-ins and accountability

 

  • Medical nutrition therapy (MNT) when needed

This isn’t merely additive, it is foundational to responsible GLP-1 prescribing and to long-term patient outcomes.

 

6. Monitoring Frameworks Must Become Core Infrastructure

One of the most operationally important implications for obesity programs is WHO’s emphasis on continuous monitoring and follow-up.


Because obesity is chronic and GLP-1 outcomes evolve over time, programs need systems that can:

 

  • Track weight, body composition, and metabolic markers

  • Detect early signs of weight regain or treatment non-response

  • Support long-term engagement after dose changes or discontinuation

  • Ensure care teams can intervene proactively and remain the decision makers

This is where digital health infrastructure becomes essential. Connected devices, remote monitoring, and automated data flows make it possible to support thousands of patients consistently without adding extensive labor burden to clinical teams.

 

7. What Obesity Programs Should Do Next

To align with WHO’s guidance and strengthen patient outcomes, programs can begin by:

 

  1. Evaluating their behavioral-support offering - ensuring it is structured, consistent, and accessible.

  2. Implementing device-based monitoring- enabling ongoing, objective tracking of patient progress without the barriers of in-office care.

  3. Ensuring continuity models beyond initial weight loss - including maintenance and relapse-prevention.

  4. Building customizable data workflows that let care teams intervene early, efficiently, and at scale, while keeping the decision-making in the hands of the clinician.

  5. Partnering with technology providers already equipped to deliver these components reliably.

The Bottom Line for Obesity Programs

The new WHO guideline is not simply a statement on medications. It is a blueprint for comprehensive, long-term obesity care. Programs that combine medication, behavioral support, and robust monitoring will be best positioned to deliver durable outcomes, meet patient expectations, reduce clinical burden, and scale responsibly.

 

Withings Health Solutions stands ready to support that evolution with the technology, partnerships, and evidence-aligned frameworks that make multimodal obesity care possible.



Interested in partnering with us?

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