Feri Naseh

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Healthcare is entering a pivotal moment: What was once a system built around episodic visits and institutional control is rapidly shifting toward continuous, consumer-driven engagement. Patients—now armed with data, digital tools and rising expectations shaped by other industries—are no longer passive participants in their care. According to a recent PwC healthcare consumer insights survey, 65% of consumers want healthcare systems built around prevention rather than treatment, while seven in 10 already use digital health tools and expect more advanced, AI-driven personalization in the near future. At the same time, industry analysis shows that consumer expectations are actively reshaping how care is delivered. A Forbes analysis on evolving healthcare expectations notes that patients are becoming active participants in their care, driving demand for more personalized, tech-enabled and longitudinal healthcare experiences. Members of the Senior Executive Healthcare Think Tank, a group of leaders specializing in patient experience, workforce strategy, policy and digital transformation, see this shift accelerating over the next five years. Their insights suggest that what lies ahead is not merely a more convenient healthcare experience but a fundamental redesign of how care is delivered, coordinated and measured. The following perspectives from Think Tank members reveal the expectations most likely to reshape healthcare—and the strategic imperatives leaders must embrace now.

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Public trust in the U.S. healthcare system has declined steadily in recent years. Rising costs, opaque billing practices and persistent inequities in access have led many patients to question whether the system prioritizes institutional revenue over individual well-being. Furthermore, healthcare costs in the United States continue to outpace inflation while delivering uneven outcomes, a dynamic that has intensified scrutiny of how care is delivered and financed. Members of the Senior Executive Healthcare Think Tank—a curated group of leaders specializing in patient experience, workforce strategy, policy, quality and emerging technologies such as AI and telehealth—say restoring confidence will require far more than better messaging. It demands a fundamental reconsideration of healthcare’s core assumptions. Many of those assumptions—such as the belief that higher service volume means better care, or that consolidation naturally improves outcomes—have shaped decades of policy and organizational strategy. Yet Think Tank experts argue that rebuilding trust requires confronting those assumptions directly and redesigning systems to prioritize transparency, prevention, access and shared decision-making. Below, their insights point to a clear conclusion: Trust is not rebuilt through public relations campaigns but through structural change.

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Consumer-driven healthcare has long been heralded as the industry’s next transformation. Yet for decades, adoption lagged behind the headlines. Today, rising out-of-pocket costs, wearable device proliferation and AI-powered navigation tools are reshaping patient expectations in ways that feel materially different. According to a recent analysis in Forbes, the rapid expansion of AI in clinical workflows and patient engagement tools signals that healthcare is moving beyond experimentation toward operational integration—particularly as systems confront workforce shortages and cost pressures. Meanwhile, high-deductible health plans and health savings accounts continue to shift financial decision-making to consumers, increasing demand for transparency and measurable value. Against this backdrop, members of the Senior Executive Healthcare Think Tank—a curated group of healthcare leaders specializing in patient experience, workforce strategy, policy, quality, equity and responsible technology adoption—are watching for early indicators that signal durable change rather than fleeting enthusiasm. Here are some of the signals they are paying the most attention to, and why healthcare leaders should take notice.

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After peaking during the COVID-19 pandemic, virtual care utilization has settled into a hybrid rhythm—one that blends digital tools with in-person services. While some observers interpret this normalization as stagnation, members of the Senior Executive Healthcare Think Tank see something else entirely: a reset that creates space for smarter, more intentional use of virtual care. While telehealth visit volumes have declined from pandemic highs, organizations that embed virtual care into longitudinal care models continue to see gains in patient satisfaction, access and efficiency, particularly for chronic disease management and preventive services. The opportunity, experts agree, lies not in doing more virtual visits—but in applying virtual care where it can have the greatest clinical and financial impact. Drawing on their experience across medical devices, AI-enabled care-at-home, culturally responsive wellness and payer-led care delivery, Think Tank members outline where virtual care still holds untapped promise—and how healthcare leaders can unlock it.

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AI and digital health tools are advancing at breakneck speed, yet adoption and outcomes often lag behind investment. While hospitals and health systems race to deploy chatbots, predictive analytics and remote monitoring, many solutions remain incremental rather than transformative. A comprehensive survey published in the Journal of the American Medical Informatics Association found that while health systems are piloting or deploying a wide range of AI use cases, success and implementation depth vary dramatically across clinical and operational domains, with many tools still immature or not integrated into care delivery workflows. The result: technology that generates data but fails to meaningfully change care delivery. Members of the Senior Executive Healthcare Think Tank—a curated group of leaders spanning patient experience, workforce strategy, equity, quality, policy and health technology—see a different path forward. Drawing on deep expertise across AI, EHRs, diagnostics, telehealth and care-at-home models, they argue that the next wave of impact will come not from more dashboards, but from smarter, more adaptive and more human-centered systems. Below, they identify underrepresented areas of innovation that hold disproportionate promise for improving outcomes and reducing burden for clinicians.

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The promise of artificial intelligence to revolutionize diagnostic medicine—from imaging and pathology to conversational symptom triage—has never been more real. But as the momentum grows, so does the need for rigor. The Senior Executive Healthcare Think Tank, a multidisciplinary group of leaders with expertise in patient experience, workforce strategy, health equity, policy, quality and technology adoption, cautions that deploying AI diagnostics requires more than clever algorithms. It demands structured validation, transparency and regulatory awareness. Recent moves by the U.S. Food and Drug Administration (FDA) illustrate how seriously regulators take this need. In January 2025, the agency issued far-reaching draft guidance aimed at managing “AI-enabled devices throughout the device’s Total Product Life Cycle.” As AI-enabled diagnostic tools become more common, companies must reconcile speed of innovation with accountability and patient safety—or risk undermining trust, quality and compliance. Below, Think Tank members map a set of practical, tested strategies to balance innovation and validation, offering readers actionable pathways to integrate AI safely and effectively into diagnostic practice.