Preventing Diabetes Exacerbations Through Human Connection, Not Crisis Response

By Alexandria Foley, MSN, RN

More than 38 million Americans live with diabetes. For these individuals, simply instructing them to monitor and control their blood sugar levels will not prevent the exacerbations and complications that lead to increased hospitalizations, degrade quality of life, and drive up national healthcare spending.

Part of the reason is that care management for such patients is increasingly complex. Nearly half of adults with diabetes have uncontrolled A1C levels, and more than 80% have at least one other cardiometabolic condition, such as hypertension. Together, these factors accelerate disease progression and increase the risk of hospitalization, heart failure, or kidney disease.

The economic toll is staggering. The total cost of diagnosed diabetes in the United States reached $412.9 billion in 2022, including $306.6 billion in direct medical costs and $106.3 billion in productivity losses.

For people already living with diabetes, prevention means maintaining stability and preventing acute episodes. Yet data show that progress is slipping. A recent study found that hospitalizations for heart failure among adults with diabetes increased by 3.9% per year between 2012 and 2020, while nontraumatic lower-limb amputations rose by 5.9% per year between 2009 and 2020. These trends underscore the need for a proactive, connected model that keeps patients engaged long after they leave the exam room.

The shift to continuous care

In response to these concerning trends, leading health systems are redefining diabetes management by merging remote patient monitoring, behavioral health coaching, and AI-enabled engagement. This approach allows clinicians to identify early warning signs, automate outreach, and tailor interventions for each patient.

AI tools now act as both engagement and triage partners. They analyze continuous data from glucose monitors, blood pressure cuffs, and patient-reported symptoms to detect subtle trends that may signal risk. When these trends appear, the system generates alerts or coaching prompts to guide patients toward corrective actions, such as medication adherence, dietary adjustments, or hydration. The same AI insights help care teams prioritize outreach, ensuring that clinical staff can focus attention where it will have the greatest impact.

At the same time, behavioral coaching is emerging as the cornerstone of long-term success. Effective coaching models use motivational interviewing, goal setting, and education to turn biometric data into actionable habits. Instead of waiting for symptoms to worsen, coaches check in regularly to help patients make small, realistic improvements to diet, sleep, stress, and physical activity. This ongoing relationship builds confidence, reinforces accountability, and reduces the likelihood of preventable exacerbations.

This combination of continuous monitoring, intelligent automation, and human connection allows care teams to extend their reach. Providers can manage larger patient populations without increasing workload, and patients gain the tools and guidance needed to take ownership of their health.

Scaling the new model

Sustaining this model requires alignment of data, workflow, and reimbursement. AI-enabled care platforms implemented around the U.S. now integrate directly into electronic health records, allowing providers to review data trends, document interventions, and bill appropriate codes for remote physiologic monitoring (RPM) or chronic care management (CCM). Automated reporting functions track patient progress and generate audit-ready documentation that supports payer requirements.

Organizations that adopt this structure can reduce the administrative burden associated with chronic disease management while demonstrating measurable value to payers. By documenting care coordination, medication adjustments, and education activities, health systems show clear evidence of improved outcomes and reduced costs. These efficiencies make continuous care financially sustainable and align it with value-based care contracts.

Patients also benefit from this streamlined process. They experience more timely interventions, stronger connections with their care teams, and personalized support that adjusts to their lifestyle. The combination of AI precision and human empathy transforms care from reactive management to continuous partnership, driving patient engagement.

Building a solid foundation

Health systems embracing this approach are tracking results beyond simple A1C improvements. They monitor reductions in emergency department visits, shorter hospital stays, and improved medication adherence rates. Continuous care models also yield higher patient satisfaction, as patients feel more supported and better equipped to manage their condition day to day.

By combining AI-enabled insights, behavioral coaching, and care coordination, leading organizations are turning data into prevention. This model empowers clinicians to see the whole patient, not just their numbers, and helps individuals sustain progress over time.

This holistic view can keep patients engaged, informed, and supported between appointments. Continuous, AI-enabled models of care and proactive outreach make that possible. They identify minor deviations before they become urgent, reinforce healthy behaviors, and provide the clinical and operational framework needed for sustainable reimbursement.

As more health systems adopt this approach, prevention will become a more natural aspect of everyday practice. Continuous engagement will replace episodic care, and patients will experience fewer exacerbations, fewer hospitalizations, and a higher quality of life.

The goal is no longer to manage diabetes reactively but to redefine what effective care means. That means empowering every patient to thrive with consistency, confidence, and connection to their care team. When technology and compassion work together, stability becomes possible for all, and the future of chronic care will more often involve sustaining health, rather than avoiding crisis.

Alexandria Foley, MSN, RN, is Chief Nursing Officer at Brook Health. She is passionate about being a nurse and loves the impact nursing care has on patient outcomes and healthcare. She has a special interest in building quality-based programs by developing nursing processes that truly benefit patients and healthcare professionals. Remaining engaged, aware, up to date and interested in these advancements has allowed Foley to build successful and sustainable programs.