Insights from the Front Lines of Medical Documentation
We explore the root causes of information chaos, designing for clarity, and the thoughtful application of AI in medicine.
Why Clinicians Copy-Paste: Designing for Persistence, Not Duplication
Clinicians aren’t copy-pasting out of laziness. They’re trying to preserve clinical context that still matters. In this post, we explore how our research into duplication in the EHR led us to rethink documentation persistence and build Problem Link, a feature that keeps medical problems connected over time.
The Hidden Danger of Perfect-Looking Notes: Why Surface-Level Completeness Isn't Enough
In medicine, uncertainty is normal. Our notes should reflect that. Learn how to reclaim clinical reasoning in documentation — and avoid the dangers of perfect-looking but hollow notes.
The Real Cost of Note Bloat: Clinical Clarity at Risk
Medical documentation is a clinical act, not just a clerical task. Learn why note bloat undermines patient care and how clinicians can rebuild clean, useful, clinically-driven notes through thoughtful, evidence-informed practices.
Why EHRs Actively Constrain Ideal Clinical Workflows
The rigidity of the EHR is a straightjacket on efficient workflows. The systems simply don’t match the ways clinicians think.
Rethinking Administrative Time and the EHR in Modern Medicine
The EHR suffers from the tragedy of the commons. Everyone dumps their data with little thought to organization or cleaning up after themselves. We need to buy tools that facilitate information stewardship not data littering.
Why EHRs Are Causing “Note Bloat”—And How We Can Fix It
It’s time to rethink documentation to avoid “note bloat” and bring focus back to what really matters in patient care.
The Challenges of Information Review in Primary Care
Ideally, clinicians shouldn’t need to search for or surface information at all—because the information should never be lost to begin with. There are several chart review work flows prevalent in primary care, yet EHRs are not built to support them, or the workflows of any clinicians, beyond search and filter.
The Future of Live Documentation - Addressing the Growing Problem of Medical Documentation Overload
As AI continues to transform healthcare, many assume it can fix the growing issue of documentation overload. While AI offers just-in-time summaries and automation, relying solely on it without improving how data is structured leads to bloated, disorganized charts. In our latest post, we explore why better organization—through problem-oriented documentation and structured data—is key to streamlining workflows, reducing costs, and enhancing patient care.