By Ashley Blankette, Chief Product Officer, DataSpring
LinkedIn: Ashley Blankette
LinkedIn: DataSpring
Interconnected data continues to be the most valuable currency in healthcare administration. Attending AHIP ‘26 in Las Vegas, it became evident that the entire sector feels this pressure. The industry has reached a turning point where we can no longer afford to layer new technology on top of broken operational processes. Instead, we must focus on fixing the core infrastructure that supports them.
The conversations in Las Vegas moved past empty trends to focus on the essential work of data integrity. To build a more efficient and affordable system, we must address the root cause of our current operational challenges, which stem directly from fragmented and inaccurate provider data.
At its core, the mission of healthcare innovation must be to seamlessly tie the ecosystem together. Improved efficiency, experiences, and outcomes for providers, payers, and patients, can only happen when we look honestly at our current data infrastructure.
The Myth of Digital Transformation
The industry has spent a decade and billions of dollars attempting to solve provider data fragmentation. Yet, as noted during the Powering the Next Era of Provider Data session, the needle has barely moved. We still rely on fragmented, late, or manual outreach, and we still see inaccurate data flow into patient and member directories.
The consequences are severe. When provider data remains incorrect, patients cannot find care, clinicians go unpaid, and health systems absorb unnecessary administrative costs.
This persistence occurs because the industry historically treats provider data as a downstream problem rather than an upstream requirement. We often try to clean data after it enters our systems, cleansing copies, an approach that consistently fails. Meaningful change requires a shift toward an upstream strategy that collects, validates, and enriches data at the source, in partnership with the practitioners themselves.
Prior Authorization: The Symptom, Not the Disease
The industry continues to debate prior authorization (PA) as if it were a standalone administrative hurdle. However, discussions at AHIP revealed that PA struggles are often simply a symptom of poor data and unstructured communication channels. The path forward is not just to automate the current process, but to integrate the right data directly into the clinical workflow. We must embrace standardization and eliminate the guessing game.
But automation alone will not solve the issue. We must remember that a denial is often not a breakdown in the PA process itself. Instead, it is a signal of insufficient information, which highlights a larger flaw in our data system. When we clean the data pipeline upstream, we provide the clarity required to adjudicate decisions in real-time, allowing for touchless, automated approvals without increasing provider anxiety or interrupting the continuity of patient care.
AI as Augmentation, Not a Replacement
Perhaps the most grounded conversations at the conference centered on artificial intelligence (AI). The industry continues to move past the hype phase and into practical application.
Whether the topic was precision obesity care or administrative outreach, the consensus was clear that AI works best when it augments the care team. Rising member complexity and workforce shortages are outpacing care management capacity, and hiring more staff alone is not enough to close the gap.
When technology manages high-volume, repetitive outreach, and barrier assessments, human clinicians regain the hours necessary to focus on complex cases, though this success depends on deep system integration. If the AI does not live within the platforms where clinicians and health plans already work, it becomes just another disconnected tool.
The Path Forward
Success over the next decade will belong to the organizations that stop treating data as a byproduct of their business and start treating it as the foundation. While the healthcare industry possesses the necessary intelligence, tools, and capable technology, it continues to suffer from a lack of true connectivity. To deliver better experiences and outcomes across the ecosystem, we must stop bad data from entering the stream in the first place, check the timeliness of our information continuously, and maintain a single source of truth that powers various workflows.
AHIP ‘26 offered a refreshing look at an industry becoming more responsible about the changes it demands. Now that the “shiny object” phase is behind us, we can begin the hard, collaborative work of building a stronger healthcare ecosystem through connected data.