Cardiology’s Quantum Leap: How AI-Empowered Hospital-Grade Remote Monitoring Bridges the Great Divide Between Clinical Needs and Clinician Shortages

Updated on June 27, 2024
artificial intelligence in healthcare

America’s heart disease problem is growing exponentially. In the past century or so, it has leapt from being the fourth leading cause of death for U.S. citizens (behind infectious diseases) to the number one cause of death. And by 2050, more than 6 in 10 U.S. adults are projected to have heart disease. These figures would be staggering alone, but they are even more concerning due to the growing clinician shortage.  

The country’s 65+ population (those with higher cardiovascular risk) is projected to nearly double in the coming decades, growing at 3.3% per year. Conversely, the total number of doctors is only growing at 2% per year, with cardiologist numbers further lagging. According to the Association of American Medical Colleges, the U.S. will face a shortage of up to 86,000 physicians by 2036.

With the demand for services and the supply of clinicians moving in opposite directions, healthcare urgently requires a better way to enhance diagnostic efficiency at scale. AI-enabled hospital-grade remote patient monitoring has the power to bridge the cardiology supply and demand gap, more effectively meeting patient care needs while radically reducing the burden on care teams.

Hospital-Grade Monitoring: The Gold Standard for Today and Tomorrow

Traditional patient monitoring is logistically complex and places a heavy burden on clinical staff. As a result, it was traditionally extended to only the highest risk populations. The cost of maintaining in-hospital monitoring for all patients is also prohibitively high, and achieving the same level of data quality remotely has historically presented its own set of challenges. At least, until now. 

Hospital-grade virtual telemetry solutions utilize advanced sensors and sophisticated AI-enabled algorithms to ensure precise and accurate interpretation of physiological parameters. These technologies provide reliable, near real-time data that’s crucial for making informed decisions. When paired with AI-powered analytics, clinicians can reduce administrative tasks while simultaneously improving the timeliness and effectiveness of their interventions. Remote patient monitoring also extends cardiologists’ reach, enabling them to provide high-quality care to patients not physically present in the hospital. 

Hospital-grade virtual telemetry provides a ready answer to the growing divide between the population’s cardiac care needs and the providers available to meet them. Here’s how.

How AI-Enabled Virtual Cardiac Telemetry Meets Growing Patient Needs

First, let’s examine the demand side of the cardiology gap: the rising need for cardiac services. When coupled with AI-powered analytics, virtual telemetry addresses rising patient needs in the following ways. 

  • Enables precise diagnostics at scale

AI can process vast amounts of patient data and discern even the most nuanced indicators, more effectively meeting the patient population’s requirements by delivering precise diagnostics at scale. With the demand for cardiac services at an all-time high, the scalability of AI will be instrumental in meeting these needs. 

  • Supports a diverse range of clinical use cases

Because of its high level of acuity, virtual telemetry diagnostics are suitable for a diverse array of complex clinical use cases, including chronic disease management, post-surgical monitoring, acute care, and more. The global AI in diagnostics market is projected to grow at a CAGR of 32.30% through 2031, driven by the demand for AI solutions across different applications.

  • Encourages proactive health management

One way to address the demand for cardiac care is to reduce condition severity through more proactive interventions. AI-powered detection identifies patients at high risk for conditions like heart failure, potentially reducing the need for more invasive and resource-intensive interventions over time. For example, AI can identify left ventricular dysfunction with an accuracy of 93%—crucial for early intervention.

How AI-Enabled Virtual Cardiac Telemetry Alleviates Mounting Clinician Shortages

Now, let’s shift our focus to the supply side of the cardiology gap: the mounting shortage of clinical resources. AI-enabled virtual telemetry addresses the clinician shortage both directly and indirectly. 

  • Reduces hospital overwhelm 

Emergency departments experience a high volume of patients with symptoms like chest pain, which accounts for more than 7 million ER visits annually. During a post-surgery period, one study revealed that 7.9% of patients presented to the ED within 30 days of their operation, of which 36.5% were admitted. Remote cardiac monitoring reduces the need for in-person visits and moves monitoring outside the hospital’s four walls, thus decreasing the strain on in-hospital resources. 

  • Attracts more cardiologists to the field

The American College of Cardiology notes two areas ripe for continued innovation in cardiovascular care: advancement of the cardiovascular care team and the utilization of virtual care. By improving work conditions and reducing time spent on administrative-related tasks through AI-enhanced remote monitoring, virtual telemetry helps make cardiology more attractive to new clinicians while freeing up time for patient care.

The Future of Cardiology: Efficient, Enriched, and Equitable Cardiac Care

Remote patient monitoring goes beyond bridging the gap between the clinical shortage and rising patient demand—it enables a quantum leap forward into a more efficient, enriched, and equitable era of cardiac care.

In this new era, the efficiency and effectiveness of care are aligned. High-acuity remote monitoring and AI-enabled analytics unleash new possibilities for data-enriched diagnosis and treatment. Even more powerfully, they bring this care into reach for patients whose mild symptoms, geographic location, or socioeconomic status might otherwise prevent them from accessing the care they need.

InfoBionic.Ai’s next-generation MoMe ARC® provides a promising path forward for the cardiac care of tomorrow. Learn more about AI-empowered virtual cardiac telemetry at

Stuart Long
Stuart Long
CEO at InfoBionic.Ai

Stuart has been the CEO of InfoBionic.Ai since March 2017. He underscores the company’s commitment to widespread market adoption of its transformative wireless remote patient monitoring platform for chronic disease management. With more than 25 years of experience in the medical device market, Stuart brings expertise in achieving rapid commercial growth. Before joining InfoBionic.Ai, he was CEO at Monarch Medical Systems, LLC, and global chief marketing and sales officer for CapsuleTech, Inc. Stuart also held executive positions at healthcare IT-focused companies, including Philips Healthcare, Agfa Healthcare, AMICAS, FUJIFILM USA, and Eastman Kodak.