Structured virtual care improved medication optimization, enabled rapid clinical intervention, and expanded care capacity while maintaining physician oversight.

 The clinical outcomes from this real-world evaluation were featured by TCTMD, highlighting how AI-enabled virtual heart failure care supported greater use of guideline-directed medical therapy while helping stabilize patient weight in routine clinical practice.

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Where Heart Failure Care Breaks Down

Clinical progress often stalls after the visit. Clinical guidelines are well established, but timely titration, monitoring, and follow-up remain inconsistent in practice. Adjustments that should happen weekly may occur months apart, leaving patients on suboptimal therapy between visits.

Study Overview

This evaluation examined the implementation of ISHI's virtual heart failure program across six community cardiology practices. Rather than measuring performance in a controlled research setting, the study reflects routine clinical operations caring for patients with varying levels of disease severity and complexity.

  • Population: 747 patients across six community cardiology practices in California and Arizona.

  • Follow-up: median enrollment duration of 124 days.

  • Patient profile: mean age of 75.8 years, 37% female, with a mixed left ventricular ejection fraction population.

Intervention

Patients participated in a virtual care program that extended physician-directed treatment beyond the clinic through continuous monitoring, protocol-driven follow-up, medication optimization, and multidisciplinary care coordination.

Clinical teams monitored physiologic data, engaged patients between visits, and escalated care according to established clinical protocols while keeping treating cardiologists informed throughout the process.

Clinical Outcomes

Protocol-driven care enabled measurable improvement across all four guideline-directed medical therapy classes.

Improved GDMT Utilization

  • Beta-blockers: 36% to 51.5%

  • ACEi / ARB / ARNI: 33.9% to 46.5%

  • SGLT2 inhibitors: 14.9% to 28.4%

  • Mineralocorticoid receptor antagonists: 19.5% to 22%

Sustained Patient Engagement

  • 87% of patients remained engaged beyond six months

  • Seven patient readings submitted per week, on average

Improved Stability

Acute weight-gain events declined over time, suggesting earlier intervention and improved fluid management.

What This Means in Practice

The results demonstrate that structured virtual care can support clinical effectiveness, operational viability, and provider-aligned delivery across community cardiology practices.

For Patients

More consistent monitoring, earlier intervention, and improved execution of prescribed therapy can support greater stability between visits.

For Providers

Structured, protocol-driven workflows allow high-volume care to be delivered without adding workload to community cardiologists while preserving physician oversight and control.

For Health Systems

The model provides a scalable foundation for improving guideline adherence, extending clinical capacity, and supporting value-based care.