• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

New App Uses Fitbit Data to Predict When You May Get Sick

by Fred Pennic 08/22/2016 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Achu App Fitbit Data

Datapult, a Toronto-based app studio has launched a new app that uses Fitbit data to alert consumers as to when their body is showing signs of a reoccurring illness, such as a cold, before it happens. The app called achu tracks patterns leading up to sickness using a proprietary algorithm that alerts the user to the fact that you are on the same track to get sick, as you have in the past. 

“The more interactive you are with achu, the more accurate it will be in helping you to stay healthy,” says Michael Morra, CTO of Datapult in a statement. “When you feel tired, achy, feverish, stuffy – whatever the symptom, you calibrate the achu app, and it will then start to match data from your past.” The science behind achu’s algorithm is based on tracking the patterns in each of the metrics recorded by the Fitbit, such as heart rate or sleep efficiency, leading up to a users input into achu’s sickness calibration system. Using this data, achu can accurately predict the next time the warning signs of an illness appear. “We expect a user to experience parallel sleep, heart rate, step and active patterns leading up to a sickness. Therefore, if their most recent data mirrors their data from when they experienced the same symptoms, our algorithm would calculate a high probability of a repeat illness for this individual calibration,” says Morra.

How It Works

In order for achu to know what health patterns constitute the individual user being sick, they must first calibrate the app by entering their symptoms when they are, in fact, sick. They then have the option to track various symptoms such as: headache, cough, runny nose, stuffed nose, fatigue, fever, and aches and pains. Once the user calibrates the app with a sickness, achu will begin to look for similar trends and patterns that match the sequence of data in the calibration. They can then calibrate achu with as many sicknesses as they like, and the app will generate a unique algorithm for each of them. Everyday the user will receive a notification delivering their probability of getting sick based on their past sickness calibrations.

The app is currently available for IOS users in the Apple app store, and is being run on Fitbit devices. Datapult is currently building technology to make achu compatible with other health wearable and Android devices in the near future.

 

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Interview

Reach7 Diabetes Studios Founder Chun Yong on Reimagining Chronic Care with a Concierge Medical Model

Most-Read

HHS Finalizes HTI-4 Rule: Prior Authorization & E-Prescribing Interoperability

HHS Finalizes HTI-4 Rule: Prior Authorization & E-Prescribing Interoperability

Meaningful Use Penalties_Meaningful Use_Partial Code Free_Senators Urge CMS to Establish Clear Metrics for ICD-10 Testing

CMS Finalizes TEAM Model: A New Era of Value-Based Surgical Care

White House Event Unveils CMS Health Tech Ecosystem Initiative

White House Event Unveils CMS Health Tech Ecosystem Initiative

Digital Health Faces Q2'25 Pullback: Funding Falls to 5-Year Low, But AI Dominates and $1B+ IPOs Emerge

Healthcare Investment Shifts in 1H 2025: AI Remains a Bright Spot Amidst Fundraising Decline

Digital Health Faces Q2'25 Pullback: Funding Falls to 5-Year Low

Digital Health Faces Q2’25 Pullback: Funding Falls to 5-Year Low

Beyond the Hype: Building AI Systems in Healthcare Where Hallucinations Are Not an Option

Beyond the Hype: Building AI Systems in Healthcare Where Hallucinations Are Not an Option

Health IT Sector Navigates Policy Turbulence with Resilient M&A

Health IT’s New Chapter: IPOs Return, Resilient M&A, Valuations Rise in 1H 2025

PwC Report: US Medical Cost Trend to Remain Elevated at 8.5% in 2026

PwC Report: US Medical Cost Trend to Remain Elevated at 8.5% in 2026

Philips Launches ECG AI Marketplace, Partnering with Anumana to Enhance Cardiac Care with AI-Powered Diagnostics

Philips Launches ECG AI Marketplace, Partnering with Anumana to Enhance Cardiac Care with AI-Powered Diagnostics

WeightWatchers Emerges from Bankruptcy, Launches New Menopause Program

WeightWatchers Emerges from Bankruptcy, Launches New Menopause Program

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • Submit An Op-Ed
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2025. HIT Consultant Media. All Rights Reserved. Privacy Policy |