Ambient AI should do more than speed up notes—it should organize charts problem-by-problem, preserving context and reducing cognitive load for safer, faster reviews.

Explore how AI-powered medical scribes improve longitudinal care by ensuring consistent, structured patient records—enhancing care coordination, reducing clinician burnout, and supporting better health outcomes.

Charting feels broken because notes are built for billing, not clinical thinking. Learn why current documentation fails clinicians—and how a problem-oriented, AI-powered future can make charting work for you.

Information underload—missing or incomplete patient data—slows care, increases risk, and fuels burnout. Discover how Stream tackles this gap with problem-oriented, longitudinal documentation.

Diagnoses should never vanish—or linger as chart lore—but in today’s EHRs, both happen far too often. Explore why our charts fail us and how rebuilding them around clinical reasoning could restore trust in medical documentation.

Discover how AI medical scribes are transforming complex care management by streamlining documentation, enhancing accuracy, and reducing physician burnout—empowering clinicians to focus on patient care.

Physician burnout is rising, fueled by long hours and heavy documentation demands. Discover how River Records’ AI medical scribe streamlines workflows and restores time for patient care.

AI charting software streamlines longitudinal care by organizing notes into searchable, structured data—helping clinicians access critical insights instantly.

Automated clinical documentation reduces physician burnout, improves care coordination, and supports complex care management—discover how Stream makes it possible.

Overly long clinical notes slow decisions and disrupt care. Discover how Stream’s AI medical scribe transforms bloated documentation into concise, actionable insights for better continuity.

Copy-paste in EHRs isn’t laziness—it’s a workaround for lost context. Discover how Stream’s Problem Link keeps clinical information persistent, structured, and connected over time.

AI-driven clinical note-taking streamlines multi-specialty workflows, improves coordination, reduces errors, and helps clinicians focus on delivering better patient care.