By Cheryl Cruver, President, US Markets & Chief Commercial Officer, AGS Health
LinkedIn: Cheryl Cruver
LinkedIn: AGS Health
For the better part of the last three years, healthcare has been fascinated by artificial intelligence (AI). Conferences, board meetings, and strategic plans have all focused on AI’s capacity to reshape everything from clinical documentation to revenue cycle management.
At this year’s HFMA Annual Conference, however, something interesting happened.
The conversation matured. The discussion was no longer about whether healthcare should adopt AI. Nor was it centered on futuristic use cases that may or may not materialize years from now. Instead, healthcare leaders spent much of their time discussing something more practical and arguably more important: how organizations operationalize AI to improve patient experiences, reduce costs, and create sustainable change.
In many ways, healthcare is entering its post-AI era. That doesn’t mean AI isn’t novel or is becoming less important. Quite the opposite. It means artificial intelligence is beginning to transition from an emerging technology to an operational expectation. Over time, healthcare organizations likely won’t describe solutions as “AI-powered” any more than they describe solutions as “internet-powered.” Intelligence will simply become embedded within the technologies and workflows providers use every day.
That shift carries enormous ramifications for health IT leaders.
The Next Challenge Isn’t AI. It’s Integration.
One of the recurring themes at HFMA was the sheer number of technology partnerships hospitals now manage. Many organizations have hundreds of vendor relationships across clinical, financial, and operational functions. The challenge is no longer finding innovative technologies. It is determining how all of these technologies work together.
Healthcare’s future will depend less on individual applications and more on connected ecosystems.
The organizations that thrive will be those that can move information seamlessly across clinical, operational, and financial workflows. They will be able to create experiences where data follows the patient, insights are generated in real time, and decisions can be made with greater speed and confidence.
That requires interoperability. It requires governance. And it requires a new level of discipline around data integrity.
Healthcare has long been described as information-rich but insight-poor. Providers generate extraordinary amounts of data, yet struggle to transform that information into usable intelligence. Artificial intelligence cannot solve that problem by itself.
AI is only as good as the data, workflows, and processes that support it. As organizations move from experimentation to enterprise deployment, data quality is becoming a strategic asset. In many respects, data integrity is evolving into a financial control. Organizations cannot automate decisions, generate predictions, or deploy intelligent workflows if they do not trust the information powering those systems.
The next phase of healthcare transformation will be won or lost on data quality and accessibility.
Patient Expectations Are Changing Healthcare Faster Than Policy
Another powerful theme at HFMA was the role of the consumer.
Patients increasingly expect healthcare experiences to resemble the interactions they encounter elsewhere in their lives. They can summon transportation with a tap on their phones. They can track packages in real time. They can pay bills instantly and manage financial transactions from anywhere.
Then they encounter healthcare.
A patient may still need to make a phone call to pay a balance, complete paperwork manually, or navigate multiple portals and disconnected systems. These experiences no longer align with patient expectations.
The healthcare industry often discusses digital transformation through the lens of technology implementation. But digital transformation is ultimately about experience design.
Consumers increasingly expect healthcare to provide:
- Personalized encounters
- Real-time information
- Transparent financial experiences
- Seamless digital engagement
- Simpler navigation of complex processes
These expectations are not unreasonable. They are becoming baseline requirements. The organizations that deliver these experiences will build trust and loyalty. Those that fail to do so risk establishing friction points in an ever-competitive healthcare environment.
Affordability Is Becoming a Technology Imperative
Healthcare affordability emerged as one of the defining themes at HFMA, reflecting the growing financial pressures facing providers and patients alike. As consumers assume greater responsibility for the cost of care and organizations contend with workforce shortages, narrow margins, and increasing administrative complexity, the industry is looking beyond traditional cost-cutting measures toward technology-enabled transformation.
Artificial intelligence and automation have an important role to play, but their greatest value lies not in replacing individual tasks. The real opportunity is to orchestrate people, processes, technology, and data into connected, human-governed workflows that reduce inefficiency and improve financial performance.
Denials management illustrates this shift well. Resolving a denied claim requires far more than a single technology solution. It demands coordination across clinical documentation, coding, payer intelligence, analytics, workflow automation, and experienced revenue cycle professionals. When these capabilities work together, organizations can identify root causes earlier, prioritize work more effectively, eliminate manual effort where appropriate, and focus human expertise where it delivers the greatest value.
The same principle applies across the revenue cycle, from patient access and prior authorization to coding, clinical documentation integrity, accounts receivable, and patient financial engagement. Success is no longer defined by whether a process is technology-driven or human-led. It depends on how effectively organizations combine AI, automation, analytics, operational expertise, and global resources to create more intelligent and adaptable operating models.
As these challenges become increasingly interconnected, healthcare organizations are also rethinking what they expect from strategic partners. The greatest value will come from organizations that can help orchestrate this broader ecosystem, embedding innovation into day-to-day operations while continuously adapting solutions to improve financial resilience, operational efficiency, and the patient financial experience.
Healthcare’s Future Will Be Built Through Partnerships
Perhaps the most important takeaway from HFMA was the recognition that no organization can navigate this transformation alone. AI implementation is not only a technology project, but a transformation initiative. Success depends as much on people, process, and change management as it does on the technology itself.
That reality is changing what healthcare organizations expect from their partners. They need organizations that understand not only AI and interoperability, but also the complexities of revenue cycle operations, clinical workflows, and organizational change. The goal is no longer to implement individual technologies. It is to build adaptable operating models that can continuously evolve as new capabilities emerge.
The pace of innovation has never been faster, and it will never be this slow again. While that reality can feel daunting, it also represents one of healthcare’s greatest opportunities. Organizations now have the ability to fundamentally rethink how information flows, how decisions are made, and how financial and clinical operations work together to improve both organizational performance and the patient experience.
The organizations that succeed in this next era will not necessarily be those with the most advanced AI models or the largest technology budgets. They will be the ones that most effectively orchestrate people, processes, data, and technology into intelligent, connected workflows that create measurable value.
The future of healthcare may be powered by artificial intelligence. But it will be defined by how effectively we put that intelligence to work.