CloudClinic AI

AI that does the work, not the demo.

Five years of EHR pain told us exactly which moments need AI: the chart, the labs, the photo, the protocol, the summary. CloudClinic AI is built into every one — grounded in your patient’s data, backed by best-in-class models, and engineered for HIPAA from day one.

Capabilities

Every AI capability, in one place.

Each capability is built into the workflow it belongs in — no popups, no tab-switching, no copy-pasting between tools.

AI · Telehealth & in-clinic encounters

AI Scribe

CloudClinic listens to your encounter in real time and writes structured SOAP notes, captures vitals, drafts physical exam findings, and pre-fills prescriptions before the patient leaves the room. You sign — the chart is done.

  • Live SOAP fills as the conversation happens (S, O, A, P)
  • Vitals + physical exam findings extracted from natural speech
  • Prescriptions pre-filled and pushed to DoseSpot for one-click signing
Powered by Anthropic Claude Sonnet 4.6 + AWS Transcribe MedicalDeep dive
AI · Med spa and aesthetic visits

Aesthetic Analysis

Patients (or providers) capture a face photo; CloudClinic returns an objective skin and facial assessment with treatment-area overlays — perfect for med spa consultations and follow-ups.

  • Region-of-interest mapping (forehead, glabella, NLF, cheeks, jaw)
  • Texture, redness, pigmentation, fine-line scoring
  • Suggested treatment plans tied to your service catalog
Powered by Anthropic Claude Sonnet 4.6 (vision)Deep dive
AI · Encounter labs and patient portal

Blood Analysis

Upload a CBC, CMP, or comprehensive panel and CloudClinic returns interpretation that reads like a thoughtful colleague: what’s in range, what’s borderline, what to do next, and how to explain it to the patient.

  • Reference-range aware with sex-, age-, and pregnancy-adjusted norms
  • Patient-readable summary alongside provider-grade analysis
  • Trends across prior panels surfaced automatically
Powered by Anthropic Claude Sonnet 4.6Deep dive
AI · Peptide-friendly practices and longevity clinics

Peptide Recommendations

Pulls patient goals, vitals, labs, and history; surfaces peptide protocols supported by current literature with dosing, cycling, and contraindication notes.

  • Goal-driven (recovery, longevity, performance, weight)
  • Inventory-aware — only suggests peptides you stock
  • Contraindication and interaction flagging
Powered by OpenAI GPT-4oDeep dive
AI · Concierge, longevity, and primary care

Health Recommendations

Synthesizes labs, vitals, history, lifestyle, and goals into a tailored plan: nutrition, training, sleep, supplementation, and follow-up cadence — all editable before you send.

  • Patient-data grounded — no generic templates
  • Editable plan card you can refine before delivery
  • Goal tracking surfaced in the patient portal
Powered by OpenAI GPT-4oDeep dive
AI · Every encounter

Encounter Summaries

After every encounter, CloudClinic generates a clean summary: what was discussed, what changed, what the patient should do, and when they should come back. One click to send it to the patient.

  • Provider-grade summary written to the encounter
  • Patient-readable version generated in parallel
  • Auto-includes new prescriptions, follow-ups, and orders
Powered by OpenAI GPT-4o-miniDeep dive
How it works

Grounded in your patient’s data. Engineered for HIPAA.

Patient-grounded

Every AI workflow is grounded in the patient’s actual chart, vitals, history, and labs — not a generic template. Output is always editable before it’s saved.

BAAs end-to-end

We sign Business Associate Agreements with every AI subprocessor (Anthropic, OpenAI, AWS). PHI never trains a model. We explicitly opt out of training on every API.

Audit trail

Every AI generation is logged with timestamp, model, input fields, and the editing user — so your compliance team can inspect anything at any time.

No black box

AI output is always presented as a draft for a human to review and sign. Provider judgment is in charge — AI is a faster pen, not the prescriber.

Best-in-class models

Claude Sonnet 4.6 for clinical reasoning and vision. GPT-4o for personalization. AWS Transcribe Medical for ambient voice. We use whatever wins for the task.

Always evolving

New capabilities ship every release. Existing workflows get smarter quietly. You don’t have to do anything — they just get better.

See it in action

Watch CloudClinic AI fill a chart in 60 seconds.

Book a 30-minute walkthrough. We’ll run a real encounter end-to-end and you can ask anything.