The solution that deciphers autoimmune diseases

The Challenge

Diagnosing and treating autoimmune diseases is complex and time consuming. Since these diseases affect multiple organs, the patient journey usually requires visits to many different specialists: primary care, rheumatology, neurology and gastroenterology. Common, non-specific, confusing symptoms often prolong the time frame for a definitive diagnosis and can lead to unnecessary procedures and tests, and patient stress. Delays in diagnosis can be critical in patient outcomes.

All the information below is according to the American Autoimmune Related Diseases Association (AARDA)

50M

Fifty million Americans suffer from an autoimmune disease

100

There are about one hundred autoimmune diseases

4YRS

An average diagnosis takes more than four years

$100B

Billions of dollars are spent by the healthcare system

Predicta Med is streamlining
the diagnostic process

Predicta Med’s deep learning engine aggregates EMR and claims data, and enriches and analyzes this data using state-of-the-art learning techniques. Our platform discovers patients at risk of having an autoimmune disease and provides actionable insights to enable optimal intervention.

Aggregate

We aggregate our client’s data (EMR/EHR/Claims)

Enrich & Analyze

We enrich and analyze the data using our proprietary deep learning engine

Identify

We identify at risk patients and provide actionable insights

Intervene

We enable clinicians to engage patients and intervene earlier

Aggregate

We aggregate our client’s data (EMR/claims)

Enrich & analyze

We enrich and analyze the data using our proprietary deep learning engine

Identify

We identify at-risk patients and provide actionable insights

Intervene

We enable clinicians to engage patients and intervene earlier

Platform Options

Stand alone

Primary care software

Cloud/on premise

Integrations

EMR Software

HL7-FHIR protocol

Care managers software

Cloud/on premise

Proven Results

A proof of concept was conducted on 2.5M EMR records provided by KSM (Kahn Sagol Maccabi) and 1.7M claims records on the following diseases: celiac, Crohn’s, ulcerative colitis, multiple sclerosis, lupus, psoriatic arthritis, and rheumatoid arthritis. AUC varies between 76% to 90%.

Trusted by:

Today, only 17% of celiac disease patients are correctly diagnosed. Predicta Med’s engine correctly diagnosed 60% of patients with celiac disease at least one to three years before a clinical diagnosis was made.

Significantly more patients diagnosed much earlier

Current diagnosis rate

Reference
  • Diagnosed
  • Undiagnosed

Diagnosis rate with Predicta Med

  • Diagnosed
  • Undiagnosed

Want to connect the dots of undiagnosed autoimmune diseases with us?

Request a demo

Connecting the dots of undiagnosed of undiagnosed
diseases. Together.

Linkedin

© 2021 Predicta-Med LTD. All rights reserved.

Solutions

Technology

About

Contact

×
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.