Clinical reasoning
Ask patient-specific questions and get structured answers grounded in the chart and uploaded context.
attest brings clinical reasoning, documentation, scribing, billing support, and patient context into one AI-powered workspace built for the inpatient workflow.
Creatinine rose after diuresis, oxygen need improved, and weight is down 1.8 kg. Main watch item is renal function while continuing decongestion.
One workspace for the questions you ask, the notes you write, the conversations you capture, and the context you carry between encounters.
Ask patient-specific questions and get structured answers grounded in the chart and uploaded context.
Draft H&Ps, progress notes, discharge summaries, consult notes, and patient-friendly summaries.
Capture clinical conversations and turn reviewed transcript into usable chart material.
Prepare the documentation trail that supports coding, complexity, and medical necessity.
Track trajectory, problems, context, and decisions across encounters.
A calmer way to understand the patient in front of you, designed for inpatient and consult workflows.
attest is designed to answer from the selected patient context, uploaded documents, and cited references when retrieval is available — not from generic web content.
Continue cautiously while volume overload is clinically present, but monitor renal function and electrolytes closely. Oxygenation improved and weight is down 1.8 kg; creatinine moved from 1.1 to 1.4.
Notes look and feel like the rest of the workspace: compact, reviewable, and easy to revise before anything leaves the clinician's hands. Templates, structure, and tone follow your preferences.
67M with acute decompensated heart failure, improving with IV diuresis, now limited by mild AKI.
For common notes in configured local testing
Chart, documents, notes, and patient context library
Summary, Notes, A&P, Patient Context, Scribe
Enterprise PHI only with a signed BAA
Every feature is editable, citable, and reversible — designed to keep the clinician in the loop.
Ask about a specific patient, a document, a problem, or the next decision.
Generate, revise, and explain differentials from the patient context.
Create problem-based A&P drafts with editable plan items and references.
Condense history, timeline, objective data, medications, and context.
Draft H&P, progress, discharge, consult, and custom note templates.
Upload, review, rename, and remove patient context documents.
Record, transcribe, review, and convert conversation into clinical artifacts.
Route high-stakes questions to stronger reasoning models when configured.
attest's safety posture is inspired by common healthcare AI controls: clinician review, consent-aware capture, de-identification, deletion controls, auditability, and enterprise agreements for PHI.
attest drafts and organizes. The clinician reviews, edits, signs, and remains responsible for decisions.
Free and individual workflows are designed for synthetic or de-identified data unless an enterprise PHI deployment is configured.
Real PHI should only be used in an approved deployment with a signed BAA and a reviewed vendor stack.
Scribing is built around explicit recording, transcript review, and user-controlled deletion.
Supabase RLS, signed storage URLs, rate limits, and PHI access logging form the current safety baseline.
AI provider routing is explicit. Organizations approve each model and provider used in PHI workflows.
attest feels less like another documentation tool and more like a second clinical workspace for thinking.
Hospitalist reviewerInternal medicineThe value is the patient-specific context. It keeps the consult question, notes, documents, and A&P in one place.
Consult service leadInpatient specialty careThe best version of this saves time, but more importantly it reduces the cognitive drag before seeing the next patient.
Resident physicianAcademic medicineattest is being built by Moises Vasquez as a focused clinical AI workspace for inpatient clinicians and consultants. The goal is simple: reduce documentation drag, improve access to patient context, and make clinical reasoning easier to review.
If you are a clinician, designer, engineer, health system operator, or security/compliance expert who wants to help build this responsibly, reach out.
Get started free with synthetic or de-identified workflows.