Contributor: Health Care’s Next Transformation Won’t Be About Technology. It Will Be About How We Operate

Health care has spent decades searching for transformation through technology. Electronic health records digitized the medical chart. Analytics gave organizations greater visibility into performance. Cloud infrastructure and interoperability expanded access to information, and now artificial intelligence (AI) promises to automate work, accelerate decisions, and fundamentally change how health care is delivered.

Yet there is a difficult question the industry still needs to confront: Why, after decades of technological progress, does health care remain so difficult and expensive to deliver?

Despite significant investment, technology and productivity have not moved in parallel.

The next era of health care transformation cannot simply be about introducing another generation of technology. It has to be about redesigning the operating environment in which that technology works.

We Digitized Health Care Without Simplifying It

Much of health care's technology investment has followed a familiar pattern: identify a problem and deploy a tool to solve it. A documentation challenge gets a documentation solution. Scheduling gets a platform. Revenue cycle gets another application. Population health gets a dashboard. Care management gets a workflow tool.

Collectively, they can create an organization that is increasingly digital without becoming meaningfully more coordinated.

That distinction matters because productivity does not come from making one activity faster if the information, decisions, and work surrounding that activity remain fragmented. Automating 1 step in a 10-step administrative process does not necessarily transform the process; in some cases, it simply moves the bottleneck somewhere else.

Economics Are Making the Status Quo Harder to Sustain

For a long time, health care could absorb a remarkable amount of operational inefficiency. Organizations built teams around broken processes, manually reconciled information, and developed workarounds.

Financial pressure is making that approach increasingly difficult to sustain. Providers face reimbursement pressure, rising labor costs, workforce constraints, and growing operational complexity. Health plans are confronting their own margin pressures, affordability expectations, regulatory changes, and evolving business models. Employers, meanwhile, are demanding greater transparency and accountability for health care spending. And patients increasingly expect health care to offer the same convenience, access, transparency, and responsiveness they experience in other parts of their lives—expectations that are difficult to meet when the systems and workflows behind the experience remain fragmented.

Instead of asking what technology an organization should adopt, leaders are asking what problems technology will eliminate and what measurable outcomes it will deliver. Will it reduce administrative work? Improve quality? Lower the total cost of care? Give clinicians more time with patients? Help an organization perform more effectively under risk?

Value-Based Care Raises the Stakes for Execution

This shift becomes particularly important as health care moves further toward value-based models. When organizations become accountable for both cost and outcomes, operational fragmentation stops being merely inconvenient and becomes financially consequential. A missed care gap has a cost. So does a delayed intervention, poor coordination, incomplete information, or administrative work that consumes clinical capacity.

We can already see the impact when organizations connect those dots. Integrated Health Partners of Southern California brought together information from more than 17 data sources across 9 community health centers and 5 health plans. With a more unified view of its populations and performance, IHP closed approximately 40,000 care gaps and generated 7-figure savings through a site-of-care initiative.

Better data alone doesn’t improve results. Organizations must turn information into action, which requires operating as integrated systems and building trust between organizations that have historically had different incentives and views of the patient.

AI Will Magnify the Operating Environment Around It

AI makes this operating challenge even more consequential. The first stage was about possibility: Could AI summarize clinical information? Identify risk? Improve coding? Automate administrative work? Support clinical decisions?

Increasingly, we know the answer to many of those questions is yes. The harder question now is whether health care organizations can deploy those capabilities consistently, responsibly, and at scale to produce value.

The gap is already visible. Research among 281 health care leaders found that 53% said insights are only partially embedded in organizational workflows, whereas just 14% said they are fully embedded. Nearly one-third identified embedding insights into day-to-day workflows as their biggest challenge.

Generating an insight is not the same as operationalizing it. An AI model can identify a patient at risk or recommend a next action, but value is created only when that information reaches the right person, at the right moment, in a workflow that enables something to happen because of it.

AI operating on incomplete information will produce incomplete conclusions, whereas AI introduced into fragmented workflows risks becoming another layer of digital burden. And without trust in the underlying information, even the most sophisticated model will struggle to influence behavior.

This is where the next competitive divide may emerge. As advanced AI capabilities become more widely available, what will distinguish organizations is their ability to put them to work — with connected, longitudinal information, confidence in the data, technology embedded into workflows, and leaders capable of translating new capabilities into measurable changes in performance.

The Next Era Is About Making Health Care Easier to Operate

The industry's next transformation will not be defined by how much technology health care adopts. It will be defined by whether all that technology finally makes health care easier to deliver — at higher quality and lower cost.

That means fewer manual administrative transactions, less time moving information between disconnected systems, and more decisions made with complete, trusted information. In turn, more capacity is directed toward care that impacts outcomes rather than administration.

For decades, health care has digitized individual parts of the system. The opportunity now is to connect them. That may ultimately be the most important measure of this next era of health care technology: not how intelligent our systems become, but how much simpler, more productive, and more effective health care becomes because of them.