About 260 ICD-10 codes are visualized above; try hovering over a dot to see the description. These ICD codes represent 0.4% of the total, and underscores the impossibility of having clinicians code.


Automating documentation, so clinicians can get back to patients.

Physician Time Study (2016)

The Problem

Doctors are burned out on documentation.

Physicians spend half of their day reviewing data & documenting on the computer and less than a third of their time with patients. The result is physician and patient dissatisfaction.

Poor documentation means lost revenue.

Without documentation, physicians and hospital systems cannot get reimbursed. Physicians sacrifice documentation quality to spend more time with patients, but vague or incomplete documentation leads to an estimated $10B in lost reimbursements each year.

The Solution

Documenting with AI.

HealthTensor develops artificially intelligent systems to automate documentation for physicians. Our technology mines the medical record for pertinent information, assists in diagnosing key conditions, and generates proper documentation.

By integrating into the workflow, HealthTensor can provide trusted, evidence-backed notes directly to physicians to save time, reduce liability, and optimize appropriate reimbursements.

Assessment & Plan Sample

The Team

We're data scientists and clinicians.

Eli Ben-Joseph

Formerly APT and MIT Media Lab; MIT (BS Biology & Bioengineering); Stanford (MS Management & CS)

Nate Wilson

Formerly Bain & Company and nData CEO; University of Virginia (BS Biomedical Engineering)

Thomas Moulia

Formerly MGH and Pocketknife Founder; MIT (BS Brain & Cognitive Science)

Meghna Motiani, MD
Clinical Director

Practicing internist at Cedars-Sinai Medical Center; University of Illinois MD; Northwestern BA

Chris Furmanski, PhD

Founder of Virtual Ventures; former Director of Innovation at Stanford Health Care

Aaron Chiang, MD

  • Practicing hospitalist at Inpatient Specialty Program, Cedars-Sinai; Boston University MD

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