A woman in a hospital bed looking at a tablet that shows a clinician on a video call

Clinical interactions,made easier by AI

Everything starts with talking to the patient.

Altus Health System
Emirates Health Services
Nabta Health
Neighbors Emergency Center
ChildLife Foundation
Aga Khan University
Indus Hospital
Jinnah Postgraduate Medical Centre
  • Emergency Department
  • Primary Care
  • Urgent Care
  • Cardiology
  • Dermatology
  • Endocrinology
  • Gastroenterology
  • Neurology
  • Neurosurgery
  • Oncology
  • Medical Oncology
  • Radiation Oncology
  • Orthopedics
  • Pediatric Orthopedics
  • Pulmonology
  • Rheumatology
  • Urology
  • Pediatric Urology
  • Otolaryngology
  • Obstetrics & Gynecology
  • Nephrology
  • Family Medicine
  • Internal Medicine
  • Anesthesiology
  • General Surgery
  • Vascular Surgery

96K

Patient encounters globally

About

The problem with
healthcare workflows

Today’s healthcare technology focuses on documenting and processing the encounter - not helping patients and providers make better use of their limited time together. From intake through follow-up, the patient’s story is captured in fragments, leaving clinicians and downstream workflows to act on an incomplete picture.

One clinical
interaction layer

Boston Health AI has built a single Clinical Interaction Layer running underneath the entire encounter, from patient histories via AI avatars to in-encounter clinical reasoning work and after-visit patient engagement. One continuous thread, so clinicians can be present with patients again.

It does not replace the clinician or the EMR. It is a single, streamlined platform that connects patients, clinicians, and care teams, giving patients space to tell their whole story, and giving clinicians greater capacity to care for every patient.

Clinical interaction layer
Patient histories

Configured by specialty, language, and care setting.

Encounter support

Organizes relevant clinical intelligence while the clinician stays focused on the patient.

Structured outputs

Aligned to the organization’s preferred documentation format.

MDM rationale

Clinical reasoning that eases cognitive burden. Supported with ICD-10, CPT, and HCC coding suggestions, when available.

After-visit support

Patient-friendly visit summaries and follow-up instructions in the patient’s own language.

Structured data

That can move into EMR, portal, analytics, or operational workflows.

Capabilities

From first conversation to follow‑up, one continuous clinical interaction.

01 / Before the visit

Clinician wearing a Boston Health AI coat
Hello, how can I help you today?
Built for every healthcare leader

Different teams have different requirements. One Clinical Interaction Layer supports all of them.

Tailored to your care delivery model

No matter how you care for patients, we adapt to your needs.

Customers

Built by physicians. Validated in practice.
Trusted by leading healthcare organizations.

Deployed globally, Boston Health AI is helping care teams expand provider capacity, capture more of the patient’s clinical story, and deliver experiences valued by patients and physicians.

Dr. Jackson, an emergency medicine physician, in scrubs in an exam room

“We don’t necessarily capture the essence of what [the patient] is saying, and Boston Health AI does a much better job of that.”

Dr. JacksonEmergency Medicine PhysicianNeighbors ER, BaytownAltus Health System