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.
When the Chart Comes Up Empty
Sometimes the chart isn’t too full—it’s too empty. When key clinical information is missing, clinicians are forced to piece together the story themselves. In this post, we explore how information underload slows care, increases risk, and contributes to burnout—and how Stream helps preserve continuity over time.
Too Much Information, Too Little Time
Information overload is more than a nuisance—it’s a major contributor to clinical burnout. When alerts, messages, and chart clutter pile up without prioritization, cognitive load skyrockets. In part two of our Information Chaos series, we break down how overload disrupts clinical reasoning—and what we’re doing about it.
“I Know I’ve Seen This Before”: How Information Scatter Drives Clinician Burnout
Information scatter is when relevant clinical data is present—but spread across inboxes, scanned faxes, old notes, and your memory. It forces clinicians to reconstruct the story over and over, increasing cognitive load and driving burnout. Here’s why it happens—and how we can fix it.
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.
Stream - The Medical AI Scribe for Longitudinal Care & Value-Based Transformation
Stream is the first medical AI scribe designed for longitudinal care and value based care.