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MTI Viewpoint
Insights shared by industry relative to healthcare and the advancement of medical technology.
Mika Newton has over 25 years of leadership experience in life sciences and healthcare, Mika is an expert in healthcare data management, with a focus on data completeness and universality. He has a proven track record of bringing transformative technologies to market, driving growth, and fostering innovation.
Recent attention to CMS’s Kill the Clipboard initiative is a useful reminder of how much healthcare still depends on manual, fragmented, and unnecessarily burdensome ways of moving information. Efforts like this matter because they reflect a long-overdue push to reduce administrative friction, improve access to patient data, and move the system away from workflows that continue to waste time for both patients and providers.
That progress should be welcomed but also contextualized as just the starting point.
For years, healthcare has focused on the challenge of getting patient data out of silos. Data that is trapped, disconnected, or difficult to retrieve cannot meaningfully support care. Initiatives aimed at improving interoperability and reducing manual barriers have helped move the industry in the right direction.
Yet, a key question of what happens to data after it is retrieved remains, and this is where healthcare’s next major challenge begins.
Too much of the conversation around interoperability still assumes that access itself is the goal. It is not. Access is foundational, but by itself it does not solve the clinical and operational problems that providers face every day. A large volume of records pulled from disconnected systems is not the same thing as usable intelligence. In many cases, it simply shifts the burden downstream, forcing clinicians and staff to sort through unstructured or incomplete information under time pressure.
Healthcare possesses both a data access problem and a usability problem.
This distinction matters because providers do not need more raw information dropped into their laps. They need information that is organized, contextualized, and ready to support action. They need to know where care gaps exist; they need data that can support quality initiatives, value-based care requirements, and real clinical decisions. They also need systems that can retrieve documents and help make those documents meaningful.
Initiatives like Kill the Clipboard reinforce the idea that the industry can no longer rely on manual, disconnected, clipboard-driven processes as the default way information moves through the system.
That is why the next phase of healthcare interoperability will be defined by the transformation of data into actionable intelligence.
This is where intelligence layers matter. Semantic processing, clinical structuring, and decision-support outputs are no longer secondary enhancements sitting on top of an interoperability stack. They are becoming central to whether interoperability delivers on its promise at all. If a platform can retrieve records but cannot help a provider understand what those records mean, identify what is missing, or connect the information to actual workflows, then the practical value remains limited.
This becomes even more important as healthcare continues shifting toward value-based care, where success means helping close care gaps, support quality measures, improve coordination, and enable timely interventions. The organizations that create real value will be the ones that can turn fragmented patient information into decision-ready insight.
That is also where healthcare AI must prove itself. Initiatives like Kill the Clipboard point in the direction of where healthcare needs to go. They reinforce the idea that the industry can no longer rely on manual, disconnected, clipboard-driven processes as the default way information moves through the system. That is meaningful progress, but really nothing more than that (at least at this stage).
The healthcare system has spent years trying to eliminate unnecessary friction in how patient data is collected and exchanged. That is worth celebrating. But the next chapter in healthcare will belong to the organizations that understand that access is only step one, and that the real work lies in making patient data actionable.
The post Interoperability was Never the Finish Line in Healthcare appeared first on MedTech Intelligence.
