From the Claire team
Notes from Claire on physician documentation, burnout, and what an AI clinical partner can take off your plate — grounded in primary clinical research.
Documentation has quietly become one of the heaviest parts of practising medicine. Studies of primary care show physicians spending nearly two hours on the electronic health record and desk work for every hour of direct patient care, with much of that charting spilling into evenings and weekends — the “pajama time” that erodes both capacity and the reasons people went into medicine in the first place. This blog is where the Claire team works through that problem in the open: what actually drives the administrative load, what an AI clinical partner can responsibly take off a clinician’s plate, and where the line between drafting and deciding has to stay.
Claire is built as an AI senior resident, not a passive transcription tool. It helps gather intake and history, organizes the clinical picture, and drafts the note — while the physician stays in control of every clinical judgment that reaches the chart. We write from that point of view: practical, grounded in published clinical research, and honest about what AI in the exam room should and shouldn’t do. When we cite a number, it comes from a named source; when the evidence isn’t there, we say so rather than inflate a stat.
What we write about
A few recurring themes shape almost everything we publish here.
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The hidden cost of documentation
Why notes still finish at 9pm, how charting load compounds into burnout, and what reclaiming that time does for the patients still waiting to be seen.
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You own it, Claire drafts it
How a clinical partner can do the heavy lifting on intake, history, and the first draft while the physician keeps full authorship and final say.
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Purpose-built vs. generic scribes
What separates a tool designed around the clinical encounter from a generic dictation or transcription add-on bolted onto an EMR.
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Built by clinicians, private by design
How Claire approaches safety, EMR-agnostic workflows, and patient privacy under HIPAA, PHIPA, and PIPEDA.
Latest posts
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clinical documentation SOAP note physician workflowHow to Write a SOAP Note: A Step-by-Step Guide for Clinicians
A practical, step-by-step guide to writing a clean SOAP note — what goes in each section, the phrasing that holds up to an audit, and how to stop the note from eating your evening.
The Claire Team -
whole-visit workflow pre-visit intake AI medical scribeBefore, during, after: the complete map of a patient visit — and what AI can take off each stage
Most AI scribes only touch the middle of the visit — the part where the two of you are talking. But the visit has three stages, and the studies show the in-room transcript is the smallest lever. Here's the whole-visit map, and where AI actually saves time.
The Claire Team -
physician burnout clinical documentation EHRThe real anatomy of a physician's day: where the hours actually go
Ask any physician where their day goes and they'll say 'patients.' The clock says otherwise. Here's an hour-by-hour breakdown of a primary care day — built from the EHR log studies — and what it would take to give the hours back.
The Claire Team -
AI clinical partner clinical documentation healthcare AIOwning the front door vs. running the visit: what Assort Health's $120M actually buys
Assort Health just raised $120M at a $1.2B valuation to own the 'front door' of healthcare — scheduling, referrals, eligibility, and payments. It's an impressive category. But the front door and the exam room are two different jobs, and only one of them is where your notes get written.
The Claire Team -
clinical documentation AI clinical partner physician workflowNote-taking is a clinical act, not paperwork — and that changes what AI should do with it
When you delegate the note, you risk delegating the thinking that the note encodes. The fix isn't avoiding AI — it's a model where the tool drafts and the physician reviews and owns. Here's why that distinction matters.
The Claire Team -
AI clinical partner clinical documentation healthcare AIThe front desk is getting automated. Your notes still finish at 9pm.
Prosper AI just raised $30M from a16z to automate scheduling, insurance verification, and billing. That's real progress on one bottleneck — but it's not the one keeping physicians up at night. Here's why the administrative-AI wave and the clinical-documentation burden are two different problems.
The Claire Team -
AI medical scribe clinical documentation AI clinical partnerPurpose-built vs. generic: what an AI scribe actually leaves on your plate
A transcription scribe writes down the visit you already ran. A purpose-built AI clinical partner does the work around the visit too — intake, history, and a decision-ready draft. Here's the difference, and why it matters for your day.
The Claire Team -
clinical documentation SOAP note physician workflowSOAP Note Example: A Complete, Copy-Ready Template for Physicians
A full, realistic SOAP note example you can copy — plus a blank template for Word or your EMR, how the format adapts across specialties and for nurse practitioners, and the mistakes that make notes take longer than the visit.
The Claire Team -
physician burnout clinical documentation EHRWhy your notes finish at 9pm — and whose problem it actually is
Charting after the kids are in bed isn't a discipline problem. It's a workflow problem. Here's what the research actually says about physician documentation load — and where the time really goes.
The Claire Team
