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Continue LogoutCardiovascular (CV) disease remains one of the most expensive areas of care, accounting for an estimated $220.2 billion in annual direct spending.1 As specialty spending continues to rise, payers are increasingly pursuing value-based care (VBC) models.2 These models can hold providers accountable for total cost of care (TCOC), quality outcomes, and long-term population health rather than volume alone.3 In response, payers are expanding CV-focused payment models designed to reduce avoidable utilization, improve chronic disease management, and better coordinate care across settings.
These emerging models place greater emphasis on prevention, earlier risk identification, and stronger collaboration between primary care providers (PCPs) and cardiologists.3,4 Rather than focusing on discrete episodes of specialty care, population-based and TCOC arrangements reward providers for identifying risk sooner and preventing costly downstream events.4 CMS's new Ambulatory Specialty Model (ASM), for example, encourages participating heart failure cardiologists to prioritize preventive care, PCP collaboration, and total cost of care management.3
"When arrhythmias go undiagnosed, patients may end up in acute care settings unnecessarily. Earlier diagnosis, through clinical vigilance, gives providers an opportunity to intervene sooner, helping reduce avoidable utilization and supporting the goals of value-based care."
For CV service line and system leaders, these changes create both new expectations and new opportunities. As payers bring health systems into TCOC and specialty-focused value-based arrangements, healthcare executives are increasingly looking to cardiology leaders to identify sources of avoidable cost, improve care coordination, and support population health goals. Success in these models will depend on cardiology's ability to move beyond procedural care and play a more active role in managing CV risk across patient populations.
Early arrythmia detection is an underutilized tactic for meeting TCOC pressures. Advances in ambulatory ECG monitoring and wearable technologies are making earlier CV risk identification more scalable,5,6 helping providers identify risk sooner and intervene earlier.6
Atrial Fibrillation (AF) frequently presents in acute-care settings; nearly half of AF-related ED visits in a nationwide analysis resulted in inpatient admission, and CDC reports more than 454,000 annual hospitalizations with AF as the primary diagnosis.7,8 Earlier diagnosis may give providers time to intervene and manage risk before patients enter the system through a crisis event.
In a retrospective Medicare analysis, a long-term continuous monitoring strategy (of up to 14 days) was associated with higher odds of a new arrhythmia diagnosis within 90 days and lower incremental acute-care utilization, compared with other ambulatory cardiac monitoring modalities.9
By identifying patients before they present through a crisis event, these capabilities can help shift diagnosis and management from high-cost acute settings to more proactive outpatient care.
While earlier diagnosis can help move care upstream, it may also reduce the downstream costs associated with delayed arrhythmia identification. For example, undiagnosed atrial fibrillation alone is estimated to cost the U.S. healthcare system $3 billion annually, highlighting the potential value of earlier detection and intervention.10
"Finding an arrhythmia or another concerning signal early gives us time to pause, investigate, and plan with the patient instead of reacting to a crisis."
The financial impact of arrhythmias often extends beyond initial diagnosis, with downstream events contributing to higher TCOC, avoidable utilization, and performance challenges in risk-based contracts.
Arrhythmia type | Potential downstream event | Cost implications |
Atrial fibrillation | Stroke | Hospitalization, rehabilitations, long-term disability care |
Bradyarrhythmia | Syncope leading to falls and fractures | Hospitalization and rehabilitation |
SVT* | Symptomatic tachycardia | ED utilization |
*Supraventricular tachycardia | ||
Earlier diagnosis supports goals common to Medicare Advantage, accountable care organizations (ACOs), Medicare Shared Savings Program (MSSP), and other risk-based models by reducing avoidable utilization and improving management of high-risk populations.4,11
Patients may be more likely to trust and return to the clinician who identifies the problem, guides next steps, and coordinates specialty care. Proactive diagnosis often allows primary care to serve as the "quarterback" of care, directing patients to specialty support when needed and bringing them back into longitudinal care afterward. Thoughtful workup before referral may reduce unnecessary specialty visits, improve specialist access, and help keep care within the organization.
Organizations should first determine whether arrhythmia represents a meaningful source of unmanaged risk within their population by asking themselves:
Patients with diabetes, heart failure, chronic obstructive pulmonary disease, chronic kidney disease, coronary artery disease, and cardiovascular-kidney-metabolic syndrome represent key populations for earlier arrhythmia detection.12
These patients often experience symptoms such as fatigue, dizziness, shortness of breath, and exercise intolerance.8 Symptoms associated with common chronic conditions may overlap with those of arrhythmias,13-17 delaying diagnosis and contributing to downstream complications. Prioritizing these populations can help organizations identify patients who may benefit most from earlier monitoring and diagnosis.
"First, recognize that arrhythmias may be overlooked when symptoms overlap with common comorbidities. Second, coordinate between PCPs and cardiology to ensure appropriate interpretation, routing, and follow-up."
Earlier detection only creates value when organizations have clear processes to act on the findings. While many PCPs are comfortable identifying potential concerns, they often need guidance on which patients should be monitored, how findings should be interpreted, and when specialty escalation is warranted.
Establishing PCP-cardiology workflows can provide that support while enabling PCPs to manage lower-acuity findings and preserving specialist capacity. Clear interpretation and routing protocols can further reduce uncertainty, inconsistent follow-up, redundant testing, and unnecessary referrals by ensuring abnormal findings receive appropriate follow-up without automatically generating a cardiology referral.
* Millhuff A, Leyba K, et al. Atrial fibrillation in the emergency department: Predictors of admission and discharge – A nationwide analysis. Heart Rhythm O2 Heart Rhythm Society. September 2025.
1 JACC Spotlight Issue Focuses on CV Statistics in US. American College of Cardiology. March 10, 2026.
2 Specialty risk: The next frontier of value-based care. McKinsey and Company. July 22, 2025.
3 American Heart Association. Improving Heart Health Through Value-Based Payment. March 3, 2022.
4 Ambulatory Specialty Model. Center for Medicare and Medicaid Innovation. July 17, 2026.
5 Sana F, Isselbacher E, et al. Wearable Devices for Ambulatory Cardiac Monitoring: JACC State-of-the-Art Review. Journal of the American College of Cardiology. March 30, 2020.
6 Jena N, Singh P, et al. Wearable Technology in Cardiology: Advancements, Applications, and Future Prospects. Reviews in Cardiovascular Medicine. June 27, 2025.
7 Millhuff A, Leyba K, et al. Atrial fibrillation in the emergency department: Predictors of admission and discharge – A nationwide analysis. Heart Rhythm O2 Heart Rhythm Society. September 2025.
8 About Atrial Fibrillation. Centers for Disease Control and Prevention. Comparative effectiveness and healthcare utilization for ambulatory cardiac monitoring strategies in Medicare beneficiaries. American Heart Journal. March 2024.
9 Reynolds M, Passman R, et al. Comparative effectiveness and healthcare utilization for ambulatory cardiac monitoring strategies in Medicare beneficiaries. American Heart Journal. March 2024.
10 Turakhia M, Shafrin J, et al. Economic Burden of Undiagnosed Nonvalvular Atrial Fibrillation in the United States. Arrhythmias and Conduction Disturbances. September 1, 2015.
11 Medicare Shared Savings Program Accountable Care Organizations Updated Performance Year 2024 Financial and Quality Results. Center for Medicare and Medicaid Innovation. September 29, 2025.
12 Symptoms, Diagnosis and Monitoring of Arrhythmia. American Heart Association. October 10, 2024.
13 American Diabetes Association Professional Practice Committee. Retinopathy, Neuropathy, and Foot Care: Standards of Care in Diabetes—2025. Diabetes Care. January 2025.
14 Waeijen-Smit K, Peerlings DEM,et al. GOLD COPD Exacerbation History Categories and Disease Outcomes. The Journal of the American Medical Association Network. December 18, 2024.
15 Fletcher BR, Damery S, et al. Symptom Burden and Health-Related Quality of Life in Chronic Kidney Disease: A Global Systematic Review and Meta-Analysis. PLOS Medicine. April 6, 2022.
16 Kirkman DL, Bohmke N, et al. Exercise Intolerance in Kidney Diseases: Physiological Contributors and Therapeutic Strategies. American Journal of Physiology-Renal Physiology. February 1, 2021.
17 Virani SS, Newby LK, et al. AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation. July 20, 2023.
18 Unless otherwise noted, all information in this quick guide came from Advisory Board interviews, research, and analysis.
iRhythm is a leading digital health care company that creates solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm’s vision is to deliver better data, better insights, and better health for all. Learn more about iRhythm’s Population Health Solutions for Arrhythmia Detection.
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This quick guide is sponsored by iRhythm Technologies, an Advisory Board member organization. Representatives of iRhythm Technologies helped select the topics and issues addressed. Advisory Board experts wrote the report, maintained final editorial approval, and conducted the underlying research independently and objectively. Advisory Board does not endorse any company, organization, product or brand mentioned herein.
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This quick guide is sponsored by iRhythm Technologies. Advisory Board experts conducted the underlying research independently and objectively and maintained final editorial approval.
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