attest.
For inpatient clinicians and consultants

The clinical workspace that thinks alongside you.

attest brings clinical reasoning, documentation, scribing, billing support, and patient context into one AI-powered workspace built for the inpatient workflow.

attest workspace
What changed since yesterday, and what should I watch today?
attest

Creatinine rose after diuresis, oxygen need improved, and weight is down 1.8 kg. Main watch item is renal function while continuing decongestion.

Progress noteBMP trendMedications
Built forHospitalistsCardiologyPulmonologyNephrologyICU teamsConsult servicesHealth systems
What attest does

AI-powered clinical care, from question to chart.

One workspace for the questions you ask, the notes you write, the conversations you capture, and the context you carry between encounters.

Clinical reasoning

Ask patient-specific questions and get structured answers grounded in the chart and uploaded context.

Documentation

Draft H&Ps, progress notes, discharge summaries, consult notes, and patient-friendly summaries.

Scribing

Capture clinical conversations and turn reviewed transcript into usable chart material.

Billing support

Prepare the documentation trail that supports coding, complexity, and medical necessity.

Outcomes

Track trajectory, problems, context, and decisions across encounters.

Patient care

A calmer way to understand the patient in front of you, designed for inpatient and consult workflows.

Evidence example

Ask a patient-specific question. See the reasoning trail.

attest is designed to answer from the selected patient context, uploaded documents, and cited references when retrieval is available — not from generic web content.

  • Pulls from the live chart, notes, and uploaded documents.
  • Cites the structured data behind every claim.
  • Lets you correct, edit, and re-run the answer in seconds.
Evidence panel
Should we continue IV diuresis today?
Reasoning

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.

Progress noteBMP trendLoop diuretic dose
Documentation

Clinical documentation that stays editable.

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.

Progress note · M. Alvarez

Assessment

67M with acute decompensated heart failure, improving with IV diuresis, now limited by mild AKI.

Plan

  • Continue IV diuresis with strict I/O and daily weights.
  • Trend BMP twice daily while actively diuresing.
  • Reassess oxygen requirement and ambulation tolerance.
Why teams choose attest

Designed for speed, reviewability, and safer launch behavior.

< 2 minMinutes to first draft

For common notes in configured local testing

4Context surfaces

Chart, documents, notes, and patient context library

5Workspace modes

Summary, Notes, A&P, Patient Context, Scribe

De-id firstLaunch posture

Enterprise PHI only with a signed BAA

Capabilities

The clinical AI surface, end to end.

Every feature is editable, citable, and reversible — designed to keep the clinician in the loop.

Consult assistant

Ask about a specific patient, a document, a problem, or the next decision.

Differential diagnosis

Generate, revise, and explain differentials from the patient context.

Assessment and plan

Create problem-based A&P drafts with editable plan items and references.

Clinical summaries

Condense history, timeline, objective data, medications, and context.

Notes and forms

Draft H&P, progress, discharge, consult, and custom note templates.

Patient context library

Upload, review, rename, and remove patient context documents.

Scribe workflow

Record, transcribe, review, and convert conversation into clinical artifacts.

Deep reasoning mode

Route high-stakes questions to stronger reasoning models when configured.

Security

Safety and compliance are product requirements, not footnotes.

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.

Clinician in control

attest drafts and organizes. The clinician reviews, edits, signs, and remains responsible for decisions.

Standard mode is de-identified

Free and individual workflows are designed for synthetic or de-identified data unless an enterprise PHI deployment is configured.

Enterprise PHI requires a BAA

Real PHI should only be used in an approved deployment with a signed BAA and a reviewed vendor stack.

No silent audio retention

Scribing is built around explicit recording, transcript review, and user-controlled deletion.

Access controls and audit foundation

Supabase RLS, signed storage URLs, rate limits, and PHI access logging form the current safety baseline.

Vendor transparency

AI provider routing is explicit. Organizations approve each model and provider used in PHI workflows.

Testimonies

Built with clinicians, for clinicians.

attest feels less like another documentation tool and more like a second clinical workspace for thinking.

Hospitalist reviewerInternal medicine

The value is the patient-specific context. It keeps the consult question, notes, documents, and A&P in one place.

Consult service leadInpatient specialty care

The best version of this saves time, but more importantly it reduces the cognitive drag before seeing the next patient.

Resident physicianAcademic medicine
About

A clinician-built attempt to make AI useful at the bedside.

attest 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.

Augment the clinician. Protect the patient.

Get started free with synthetic or de-identified workflows.