Resources
Documentation
Everything you need to get started with AIdMD — quickstarts for each deployment model, integration guidance, and the security details your compliance team will ask for.
Getting started
Three deployment models, one clinical workspace. Pick the path that matches where your organization is today.
Insights Lite
Start standalone — live the same day
No EHR integration required. The fastest way to put the AI scribe and clinical chat to work.
- 1Schedule a demo — we'll set up your account, BAA, and trial.
- 2Record a visit with patient consent, or upload a dictation.
- 3Review the structured draft note — HPI, ROS, and A&P.
- 4Approve, copy into your system of record, and you're done.
Insights Enterprise
Connect the EHR you already use
An AI layer over Epic, athenahealth, eClinicalWorks, and other leading systems — patient context flows automatically.
- 1Schedule a scoping call; we map your EHR and workflows.
- 2Our team configures the integration with your IT staff.
- 3Pilot providers go live clinic by clinic, in days not months.
- 4Expand access and roles as adoption grows.
AIdMD EHR
Move to the AI-native EHR
Full clinical charting, orders, and patient portal with AI built into every step of the visit.
- 1Meet with our team to plan migration and timelines.
- 2We handle data transition planning alongside your staff.
- 3Train your providers on the unified clinical workspace.
- 4Go live with onboarding support from our clinical team.
Guides & references
How the AI scribe worksFrom conversation to signed note — what happens at each step, and where you stay in control.EHR integrationsSupported systems and how AIdMD connects using modern interoperability standards.Security & complianceHIPAA-compliant use, encryption, role-based access, audit logging, and our data principles.BAA summaryA plain-language summary of the Business Associate Agreement we sign with every customer.Plans & pricingWhat's included in Insights Lite, Insights Enterprise, and AIdMD EHR — and how trials work.FAQsCommon questions on clinical control, deployment models, data handling, and upgrades.