The conversation around artificial intelligence (AI) at HIMSS 2026 carries a sense of urgency that is impossible to ignore.
Walk the halls and AI is everywhere. Demonstrations of predictive analytics, clinical decision tools and large language models promise to reshape how health systems operate and how care is delivered.
Entire sections of the exhibit floor are devoted to AI innovation, each booth offering a glimpse of a faster, smarter, more connected future for medicine.
The technology is impressive and the enthusiasm across the industry is unmistakable.
Yet beneath the excitement lies a more sober truth that surfaced during a recent HIMSS media briefing.
Progress in digital health will not be defined by algorithms alone. It will depend just as much on leadership discipline, governance and the human judgment required to ensure that powerful technologies serve patients, clinicians and communities responsibly.
That message came from Hal Wolf, the president and chief executive officer of HIMSS.
Wolf has guided one of the world’s most influential health information organisations through a period defined by accelerating innovation.
His leadership style combines optimism about technology with a steady commitment to transparency and accountability.
It is a tone that speaks to a sector where the stakes are measured in productivity gains and in human lives sustained.
During the annual conference media briefing, most questions centered on the rapid adoption of artificial intelligence.
Health systems are no longer asking whether AI will shape them; they are asking how and by how much.
HIMSS president and CEO Hal Wolf reflects. Credit: Author
They are determining where it delivers measurable value and how quickly it can be implemented responsibly.
Hospitals and integrated delivery networks are exploring applications that streamline operations, reduce administrative burden and support clinical decision-making.
In a sector strained by workforce shortages, ever-tight budgets and rising demand for care, intelligent tools promise relief in areas where efficiency has become essential.
Wolf reflectively acknowledges the promise of these tools while remaining clear about their limits.
Speaking about the expanding role of AI in hospitals, he noted that the technology is powerful but must be understood in context. “It’s not a silver bullet itself,” Wolf said in another interview.
“But there are components of a silver bullet in there that can help relieve some of the pressures inside the healthcare ecosystem.”
His observation considers a balanced understanding of technology’s role in health. Artificial intelligence can augment human expertise, accelerate analysis and help systems operate more efficiently.
However, the technology will not replace the judgment, accountability and empathy that define medical care.
When Access to Information Changes the Practice of Medicine
Wolf often describes the evolution of digital health as a series of waves that expanded access to information.
During the briefing, he reflected on earlier stages of the tech transformation that now feel distant but were once disruptive.
Not too long ago, tech-enthusiast clinicians carried their own routers into hospitals to connect to wireless networks and access data.
Health systems struggled to build digital infrastructure capable of supporting even basic information exchange. Connectivity itself was a barrier to care. Cybersecurity an afterthought.
Those early challenges marked the beginning of a broader transformation.
Wireless access enabled electronic health records to scale. Cloud computing expanded interoperability and data storage.
Today, the next stage is emerging as artificial intelligence systems process vast volumes of clinical information in a blink.
Technology companies such as OpenAI, Anthropic, Google and Microsoft are developing tools that can synthesize complex data in ways once unimaginable.
At the same time, cybersecurity threats are intensifying and the integrity of health data has become a central concern for health-care leaders.
The issue facing health systems is no longer access to information.
It is governance, accuracy and trust in the information that feeds these systems and the resulting decisions.
The Human Story Behind the Digital Mission
Wolf’s clarity about these issues reflects more than technical experience. It is also shaped by personal history.
During the conversation, he spoke about growing up in rural North Carolina, where access to health care often depended on where you lived.
For many families, specialised medical care required long journeys to reach tertiary hospitals or academic medical centers.
That experience reinforced the importance of connectivity in modern health care.
Digital health technologies can bridge the gap between local clinics and centers of excellence. Telehealth consultations, shared data systems, and remote diagnostics allow expertise to travel far beyond the walls of major institutions.
In that sense, digital health represents more than technological progress. It is a structural answer to one of medicine’s oldest challenges: distance.
When information flows effectively, expertise becomes accessible to communities that once faced limited options for advanced care.
Wolf has emphasised this point frequently in discussions about health-care transformation.
Artificial intelligence and digital platforms, he notes, must ultimately serve physicians and patients rather than simply showcasing technological capability.
AI can support clinical teams and improve decision-making, but only when implemented responsibly and supported by proper oversight.
Leadership Begins with the Courage to Ask the Right Question
During the media briefing, a question emerged that shifted the conversation in an important direction.
Beyond the issues raised by reporters and analysts, what remains at the top of the internal priority list for HIMSS leadership?
Wolf paused before answering, reflecting carefully before offering his response.
The priorities, he explained, come down to communication, awareness, truth and accuracy.
Those principles guide how information moves within health systems and how data is curated for emerging technologies.
They are essential for maintaining trust in a digital ecosystem where information travels faster and farther than ever before.
Health-care organisations must communicate clearly across leadership teams, clinical departments, and technology partners. Data must be carefully evaluated before entering machine learning environments.
The information used to train algorithms must reflect real clinical experience rather than speculation or bias.
When communication fails, systems fail with it. When inaccurate information enters digital platforms, technology accelerates the spread of error rather than improving care.
The lesson is simple but profound. Artificial intelligence may be powerful, yet it remains dependent on the quality of the information ecosystem surrounding it.
A Global Forum for the Hard Questions
One reason HIMSS remains such a significant gathering for the digital health community and emerging nations is its ability to bring diverse voices together.
Hospitals, startups, technology companies, policymakers, and academic researchers gather in the same forum to explore the future of health-care information.
The scale of the conference makes it more than a showcase of new tools. It becomes a global conversation about how health systems evolve.
Under Wolf’s leadership, the organisation has expanded its international engagement while strengthening its role as a trusted voice on digital transformation and interoperability.
HIMSS maturity models and benchmarking tools help health systems evaluate their readiness for digital integration. Its conferences provide a setting where ideas move from concept to practical implementation.
At its best, HIMSS functions as a bridge between innovation and accountability.
Precision Technology Still Requires Human Wisdom
Artificial intelligence promises extraordinary possibilities. Predictive analytics may help clinicians anticipate complications earlier.
Automation may relieve administrative burdens that have long strained health systems. Personalised medicine may advance through insights drawn from large datasets.
Yet precision technology still depends on precision communication.
Health-care leaders must communicate clearly about how AI systems are deployed and governed.
Clinicians must understand both the capabilities and limitations of algorithmic tools. Policymakers must establish frameworks that protect patients while enabling innovation.
Behind every algorithm lies a chain of human decisions about data, interpretation, and responsibility.
Those decisions determine whether technology improves care or introduces new risks into an already complex system.
Health care has always been a human endeavor first. Technology expands capability, but trust remains the foundation of healing.
Information becomes meaningful only when it is shared honestly and interpreted wisely.
Artificial intelligence will undoubtedly shape the next chapter of medicine. Its tools will help clinicians analyse data, anticipate disease patterns, and improve operational efficiency across health systems.
Yet the success of this transformation will depend on something far older than any algorithm.
It will depend on people committed to truth, clarity and communication in the service of patient care.
When information is guided by integrity and shared with purpose, technology becomes what it was always meant to be.
A powerful instrument in the hands of those dedicated to healing.
Gil Bashe is Health Tech World correspondent, editor-in-chief of Medika Life, chair of global health and purpose at FINN Partners, and author of the bestseller Healing the Sick Care System: Why People Matter.
