Be patient. Succeeding in healthcare requires time and money
- "We didn't raise $1B for the sake of raising $1B. We did the math. Clinical studies of scale are expensive."
- Remember: Healthcare is slow. Investors shouldn't expect the same hockey stick growth that mirrors a pure tech company. "It can take years to get big sales through."
- Many companies cited the importance of backing up your healthcare product with studies and their importance for closing funding and securing customers. One caveat: they take much longer than you think they will. "It's not just about weighing the data from a scientific perspective, it's also about whether the data will come back in time to properly position the company to achieve critical business goals: launch new products, generate revenue, raise funding, etc," as Neurotrack co-founder and CEO Elli Kaplan pointed out.
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Open the detailed description >>Adapt: The rise of consumerism in healthcare continues to shift traditional ways of doing business
- "We need to make the consumer a superhero and earn the right to help them make decisions." – Neil Thanedar, co-founder and CEO of Labdoor
- "If you want to disrupt an industry [like healthcare], you have to do it in a non-disruptive way." – Sami Inkinen, Founder and CEO, Virta Health
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Be heard in the Beltway: Being a large company is not a prerequisite for engaging in DC
- Omada Health Chief Privacy and Regulatory Officer and former ONC leader Lucia Savage recommended entrepreneurs "pay attention to the regulatory space. That's a very good way to collaborate. You can share the burden and the knowledge, and then comment on the public information that the government puts out." Some specific tips: Sign up for the Federal Register, look out for resources from CMS and HHS. Reach out to the ONC. Talk to Washington lawmakers and their staffers. Make sure you share data and real stories about their constituents in their home state. Give them a meaningful snapshot of your company and how you're helping constituents in their home state.
- The regulatory environment has evolved considerably since those conversations. Today, digital health executives must navigate the 21st Century Cures Act's information blocking rules and ONC interoperability mandates, which require EHR vendors and health IT developers to enable open data sharing via FHIR-based APIs. The FTC and FDA have also stepped up scrutiny of AI-powered health tools, and Congress continues to debate making pandemic-era telehealth flexibilities permanent. Entrepreneurs who build compliance into their product roadmap early, rather than treating it as an afterthought, tend to fare better with both regulators and enterprise customers.
- "Many people in government are always looking for innovative ideas. They want input and ideas from the outside. They get excited about new, daring companies. They work from the information they have: what their constituents write in letters and call in to share with them and what they learn in meetings. Your customers are their constituents too. So engagement is key." – Jamil Poonja, Head of Public Policy and Communications, Stride Health.
- On lasting policy priorities beyond any single legislative debate: "Measuring [meaningful use] and paying for what you measure are not going away." – Lucia Savage, Chief Privacy and Regulatory Officer at Omada Health
Choose the right board and investors: We hear this time and time again
- Don't rush to fill your board and risk bringing on the wrong partner or having the wrong board structure. As one CEO said: "It's like marrying the wrong person. Imagine going to Vegas, getting married, and not being able to get divorced."
- "If you're going down the VC route, I don't think you should raise funding unless you're ready to sprint." – Christine Lemke, Co-founder and President, Evidation Health

Get paid: Tips for finding a sustainable business model and satisfying enterprise customers
- "Tie engagement to what rings the register. If it's not tied to revenue, it's not focusing for you." – Hill Ferguson, CEO, Doctor on Demand.
- "Frontload your customer success function. If you're not massively successful on that first sale, you're not going anywhere."
Reach out and help someone: Digital health entrepreneurs continually cite each other as one of their most valuable resources
We couldn't agree more with the power of a relatively small group of entrepreneurs to change the legacy systems of healthcare.
Top Digital Health CEOs and Digital Health Leaders 2026: Executives to Watch
The advice captured above remains as relevant today as when it was first shared. But the digital health landscape of 2026 looks very different from the environment those CEOs were navigating. Understanding who the top digital health executives are right now, and what they are actually building, helps put that timeless advice into sharper context.
Publications like The Healthcare Technology Report and Becker's Hospital Review publish annual rankings of the top 25 digital health executives, evaluated on business achievements, innovation delivery, and industry influence. The Healthcare Technology Report's most recent published list covers 2025 achievements; this article reflects the executives and trends those rankings surface as the sector moves through 2026. Hinge Health CEO Daniel Perez led the company through a major IPO with a $2.6 billion valuation. Omada Health CEO Sean Duffy brought virtual-first chronic disease management to public markets. Spring Health CEO April Koh published a peer-reviewed JAMA study demonstrating a 1.9x return on employer behavioral health investments, giving rare third-party clinical validation.
Other digital health leaders 2026 watchers are tracking include Farzad Mostashari of Aledade, whose value-based care model has generated over $1 billion in Medicare savings. Demetri Karagas steered Thirty Madison into a $500 million acquisition by Remedy Meds. Jeff Tangney of Doximity scaled the physician networking platform to $570 million in annual revenue while launching AI-powered documentation tools. Arif Nathoo of Komodo Health is advancing real-world data infrastructure that feeds both clinical research and commercial strategy.
Women leaders are increasingly prominent across these rankings. Toyin Ajayi of Cityblock Health, April Koh of Spring Health, and Jennifer Schulz of Lyra Health each represent a generation of founders and executives who have combined clinical credibility with scalable business models, demonstrating that the sector's most consequential leadership is no longer concentrated in a single demographic.
The sector's dominant exit narratives in recent years have been IPOs and acquisitions, but value-based care represents a third and equally significant business model archetype. Farzad Mostashari's Aledade demonstrates that contracting directly with payers on outcomes, rather than chasing public markets or strategic buyers, can generate measurable impact at scale. For digital health founders choosing a revenue model, the IPO path, the acquisition path, and the value-based contract path each carry distinct capital requirements and timelines worth understanding before committing.
What unites the top digital health executives recognized across these lists is a common thread: every major move is tied to evidence, sustainable revenue, or both. That was true in 2017 and it remains true today. The companies and the technology have changed. The underlying discipline has not.
Digital Health CEO Compensation & Equity in 2026
Understanding digital health CEO compensation is crucial for founders navigating funding rounds. Recent industry data shows that cash compensation scales directly with capital raised. At the seed stage, a digital health CEO typically earns a base salary between $150,000 and $200,000. By the time a company raises over $50 million, median cash compensation often jumps to $400,000 or more.
Equity tells an even more significant story. Early-stage CEOs might retain 15% to 20% equity, while those leading later-stage rounds usually hold closer to 5%. The gap between digital health CEO compensation and that of pure-tech counterparts has historically reflected the longer path to liquidity in healthcare. Where a SaaS startup might reach exit in five to seven years, a digital health company navigating clinical validation, regulatory review, and enterprise sales cycles often takes considerably longer. That extended timeline depresses early equity retention, because more dilutive funding rounds are required before a company reaches the scale needed to command a premium exit or public market debut.
The difference between founder-CEOs and externally hired CEOs is also significant. Founder-CEOs entering later funding stages typically negotiate to protect their equity stake as a condition of continued leadership, while executives recruited from outside after a Series B or C tend to receive a smaller ownership percentage offset by a higher base salary and more structured performance bonuses. The clinical-pathway reality compounds this further: in therapeutics-adjacent digital health, where a product requires prospective outcome studies before a major payer will contract at scale, the time between founding and commercialization stretches far beyond what a typical tech investor underwrites, making equity retention a genuine strategic decision rather than a standard term-sheet negotiation.
Compared to biotech, where clinical timelines are similarly long but exit valuations are often higher due to intellectual property premiums, digital health compensation has tended to sit in between the pure-tech and biotech ranges. Whether that gap narrows or widens depends largely on how many companies in the current IPO cohort, including Hinge Health and Omada Health, perform over their first few years as public companies.
How Digital Health Executives Are Using AI in 2026
Artificial intelligence has moved from a marketing talking point to a core operational tool for leading digital health executives. The most significant applications are concentrated in three areas: clinical workflow automation, care delivery support, and population health analytics.
On the clinical workflow side, tools like Doximity Scribe use AI to reduce physician documentation burden, addressing one of the most persistent drivers of clinician burnout. Companies including Viz.ai, led by CEO Chris Mansi, have built AI into care pathways for time-sensitive conditions like stroke, where faster pattern recognition in imaging directly improves patient outcomes.
In care delivery, digital health executives are deploying machine learning models to identify at-risk patients before they deteriorate, enabling earlier intervention in chronic disease management. Omada Health and Virta Health, both well represented in rankings of top digital health executives, use continuous data from connected devices and behavioral inputs to personalize care plans at scale.
For population health, AI is enabling the kind of granular segmentation that Jason Langheier described at the 2017 summit as aspirational. Today it is standard practice at well-resourced digital health companies. The key challenge, as many digital health executives acknowledge, is ensuring that AI outputs are explainable to clinicians, compliant with evolving FDA guidance on software as a medical device, and genuinely integrated into clinical workflows rather than layered on top of them.
Within this broader AI landscape, ambient documentation has emerged as a major operational focus. Ambient AI passively listens to clinical conversations and automatically generates structured clinical notes, offering a direct solution to the physician burnout crisis that costs the healthcare system substantially in turnover and lost productivity. CEOs deploying ambient AI report that operational success depends on close integration with existing EHR systems. Effective deployment can meaningfully increase a clinic's capacity without adding overhead, making it one of the primary operational levers for growth-minded executives. Leaders must also establish clear metrics to measure ambient AI return on investment, tracking everything from physician time saved to patient satisfaction scores.
The governance dimension is equally important. As AI becomes more autonomous in clinical settings, digital health CEOs face new accountability questions: who is responsible when an AI-generated recommendation contributes to an adverse outcome? Boards and investors are increasingly asking executives to articulate AI governance frameworks that address identity management, data provenance, and human oversight thresholds. Executives who can answer those questions credibly are better positioned with enterprise health system customers than those who treat AI deployment as purely a product decision.
Cyber Resilience and Trusted Identity in Digital Health
As digital health platforms scale, healthcare cybersecurity has shifted from an IT afterthought to a core pillar of corporate strategy. High-profile data breaches have cost the industry billions, prompting digital health CEOs to prioritize security from day one. Today's leaders must build architectures that assume a breach will eventually occur. Modern healthcare cybersecurity frameworks now demand proactive threat hunting, strict third-party vendor risk assessments, and encrypted patient data storage. CEOs who treat data privacy as a competitive advantage are winning enterprise contracts with major hospital systems.
The workforce dimension of cybersecurity is often underweighted at the executive level. Security culture must be built into hiring, onboarding, and ongoing training, not just into infrastructure. Digital health leaders who treat identity management as a workforce issue, not only a technical one, are better positioned to contain the human-factor risks that account for a significant share of healthcare data incidents.
Beyond securing the network, trusted identity is becoming the critical foundation for advanced AI and interoperability. When digital health tools aggregate data from dozens of disconnected sources, establishing a verified, trusted identity for both patients and providers is essential. If AI models ingest mismatched patient records, the resulting clinical recommendations can be dangerous. As AI governance frameworks mature, the accountability chain for clinical AI outputs runs directly through identity: knowing which patient record was used, which model version processed it, and which clinician reviewed the output is the minimum required to investigate an adverse event. Trusted identity platforms solve the data-fidelity problem across complex ecosystems, giving CEOs the confidence to deploy AI tools safely while satisfying the governance expectations of boards, enterprise customers, and regulators alike.
Frequently Asked Questions About Digital Health CEOs
Who are the top digital health executives to know in 2026?
Publications including The Healthcare Technology Report and Becker's Hospital Review publish annual rankings of the top 25 digital health executives. Leaders currently drawing significant attention include Jeff Tangney of Doximity, Sean Duffy of Omada Health, April Koh of Spring Health, and Farzad Mostashari of Aledade, each recognized for combining clinical evidence with scalable business models.
What makes a successful digital health CEO?
The most consistently cited traits among successful digital health executives are patience with long sales cycles, a commitment to clinical evidence, and the ability to navigate complex regulatory environments. Strong board selection and a sustainable revenue model are equally critical, as the sector rarely rewards pure growth at the expense of proof of value.
How are digital health leaders using AI in their companies?
Leading digital health executives are applying AI primarily in three areas: reducing clinical documentation burden, identifying high-risk patients earlier in their care journey, and personalizing chronic disease management at scale. The common requirement across all three is that AI outputs must be explainable, compliant with FDA software guidance, and genuinely embedded in clinical workflows.
How is digital health CEO compensation structured?
Digital health CEO compensation typically consists of a base salary and equity, scaling heavily with the company's funding stage. While early-stage CEOs might earn lower base salaries offset by higher equity, compensation packages often exceed $400,000 in cash for those leading companies that have raised over $50 million.
What major leadership changes have occurred in the telehealth industry?
The telehealth sector has seen significant leadership transitions as companies shift from hyper-growth to sustainable profitability. Several major virtual care providers have replaced their founders with experienced enterprise executives to better navigate complex payer dynamics, while others have consolidated through high-profile mergers. These leadership changes reflect the industry's broader pivot toward profitability, value-based care alignment, and rigorous operational efficiency.
What should digital health startups know about regulatory compliance?
Digital health startups should treat regulatory engagement as a business development activity, not just a legal obligation. The 21st Century Cures Act's interoperability rules, evolving FDA guidance on AI-based tools, and ongoing debates about permanent telehealth policy all create both compliance requirements and competitive opportunities for companies that engage early.
What are digital health companies and how do they differ from traditional healthcare?
Digital health companies are technology-first organizations that use software, data, and connected devices to deliver or support clinical care, often through direct-to-consumer or employer-facing models that bypass traditional facility-based access points. Unlike conventional healthcare providers, they are built to scale reach without proportionally scaling headcount, using data and algorithms to extend clinical capacity across large populations. Many operate as virtual-first or hybrid models, contracting directly with employers, health plans, or individual consumers rather than billing through traditional fee-for-service channels. The line between digital health companies and incumbent providers is narrowing as health systems acquire or partner with digital-first platforms to extend their own reach.
Who are the top CEOs in the healthcare industry overall?
The healthcare industry spans several distinct CEO categories: large health system executives who run multi-billion-dollar hospital networks, health insurance executives who oversee major payers, and the digital-health-specific founders and operators this article focuses on. The digital health category has historically been treated separately from the broader healthcare CEO conversation, but that distinction is increasingly blurred. Major health systems and insurers are acquiring or partnering with digital-first companies at pace, meaning the executives on digital health rankings today are often the same individuals that traditional healthcare boards are evaluating as their next generation of enterprise leadership.
Source: Rockhealth


