The Problem May Not Be Fragmentation: It May Be Accumulation (Response to Morley J. The Single Patient Record: A Laudable Aim, at Risk of Mistakes that Could Derail It. )

Why It Matters

Unchecked data accumulation can compromise patient safety and undermine digital health investments, making usability as crucial as interoperability.

Key Takeaways

• 50% of EHR words are duplicated from prior notes.
• Outdated diagnoses persist due to copy‑forward practices.
• Information overload raises physician error rates and delays care.
• Usability, not just interoperability, is vital for single records.

Pulse Analysis

The single patient record (SPR) has been championed as a solution to the fragmentation that plagues modern healthcare. Policymakers and vendors assume that clinicians simply lack access to the right data, so aggregating every encounter into one longitudinal file will improve outcomes. Yet recent analyses reveal a different reality: a 2022 cross‑sectional study of 104 million clinical notes showed that 50.1% of documented words were exact duplicates, indicating that the problem is not scarcity but excess. This accumulation of redundant information creates a dense, unwieldy record that can be harder to navigate than fragmented sources.

Beyond sheer volume, duplicated and outdated entries generate informational inertia. Once a diagnosis or test result is entered, it often propagates forward through copy‑and‑paste practices, cementing historical labels that may no longer be accurate. Research links such overload to higher physician cognitive load, increased error rates, missed test results, and delayed care. When clinicians must sift through layers of irrelevant data, the likelihood of overlooking a critical new finding rises, negating the intended safety benefits of a unified record.

To realize the promise of SPRs, health IT leaders must shift focus from pure interoperability to robust usability. This includes building tools that automatically flag stale entries, archive superseded notes, and prioritize clinically relevant information at the point of care. Embedding intelligent summarization and relevance ranking can reduce cognitive burden while preserving the comprehensive history needed for longitudinal analysis. By addressing both data fragmentation and accumulation, the healthcare system can create records that not only remember everything but also help clinicians forget what no longer matters.