Feri Naseh

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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.

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In an era when health systems pour billions into digital infrastructure, the question of “What is ROI in healthtech?” has never been more urgent. The members of Senior Executive Healthcare Think Tank, a curated group of experts in patient experience, workforce strategy, equity, quality and technology, draw on deep experience—from EHR transformations to consumer medical devices and mental health platforms—to redefine how ROI is measured and communicated in today’s healthcare landscape. Traditional ROI calculations centered on cost savings or headcount efficiencies are no longer sufficient. As digital investments stretch beyond basic IT systems into remote monitoring, AI and patient-centered care, value must also be defined in terms of clinical outcomes, adoption, user trust and longer-term impact. This shift matters: In a recent survey, fewer than 30% of health systems reported “significant ROI” from their virtual care initiatives. To navigate this evolving terrain, Think Tank members share their perspectives on the metrics that matter—and how leaders can align their measurement frameworks with both business goals and mission-driven purpose.

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Across healthcare systems, the excitement around generative AI is palpable—from diagnostics that interpret imaging with near-human precision to chatbots that streamline patient communication. Yet the same momentum fueling this technological revolution also exposes the cracks beneath it: siloed systems, governance challenges and talent shortfalls that hinder adoption at scale. According to a recent survey, more than 80% of healthcare executives see AI as vital to their strategy, but a mere 13% feel they have a clear strategy for how to use it. Members of the Senior Executive Healthcare Think Tank—a curated community of leaders across patient experience, policy and health innovation—agree that the promise of AI will remain unrealized until foundational gaps in governance, data infrastructure and workforce readiness are addressed. Below, they dive into these gaps and what healthcare leaders must do to close them before AI can have any meaningful impact on current healthcare systems—because, as their insights show, AI can’t scale without trust, integration and people who understand both medicine and machines.

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Across boardrooms and innovation labs, established health systems and provider organizations are asking the same question: As capital again floods healthtech, how should incumbents respond? Members of the Senior Executive Healthcare Think Tank bring deep expertise in patient experience, workforce strategy, equity, policy and technology to help guide that answer. In 2024, venture capital investment into healthcare rose to $23 billion (from $20 billion in 2023), with nearly 30% of that funding directed to AI-enabled ventures. In the first half of 2025, healthtech investors injected $6.4 billion into U.S.-based digital health companies—fueled largely by AI‑driven innovation. That renewed momentum intensifies the pressure—and the opportunity—for incumbents to move beyond incumbency toward true transformation. However, the Think Tank’s experts caution: The window to adapt is narrow, and missteps risk disruption. What follows are thematic frameworks, expert-driven insights and real‑world examples to help senior executives in provider organizations navigate partnerships, acquisitions and internal innovation.