Question 1

What makes a dedicated AI team for healthcare different from a general AI agency?

Accepted Answer

A dedicated healthcare AI team includes a clinical reviewer in the core team, signs a BAA before any PHI is touched, and integrates with your EHR at the data layer. A general agency treats compliance as an endstage checklist; a dedicated team builds the BAA chain, EHR integration, and clinical review in from day one.

Question 2

Do you sign a BAA, and what does it cover?

Accepted Answer

Yes. A dedicated AI team for healthcare from Bitontree signs a Business Associate Agreement before any work touching PHI begins. Every subprocessor runs through HIPAAeligible endpoints such as Azure OpenAI or AWS Bedrock with a BAA. Because one team operates every system, the chain stays unified rather than fragmenting.

Question 3

Which EHR systems can the team integrate with?

Accepted Answer

The team has integration patterns for Epic via FHIR, App Orchard, and Bridges; Cerner or Oracle Health via FHIR and HL7 v2; and Athenahealth via the athenaOne API. Integration is bidirectional, so AI output writes back into the record, and the architect's PHI field mapping is reused across systems.

Question 4

Who reviews the clinical accuracy of patientfacing AI?

Accepted Answer

Every patientfacing AI output is reviewed by a named clinical reviewer with a nursing or healthcare informatics background, who validates voice agent dialogue, chatbot triage logic, and note templates before any system goes live, with the attribution recorded for audit.

Question 5

Can we start with one system and expand later?

Accepted Answer

Yes, and most do. The USA mental health clinic partnership started with one voice agent and grew to four production systems with the same team, each additional system shipping faster because the BAA chain and EHR integration were in place.

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Dedicated AI Team for Healthcare: HIPAA-Aligned, EHR-Integrated, Clinically Reviewed