The iHealth Application Demo: Real-Time Patient Insights

Powered by open-source machine learning technologies on Heroku, iHealth detects a patient’s type of physical activity in real time and spots heart rate anomalies instantly, sending alerts to providers right away for quicker treatment.

With a deep heritage of building commercial products for software vendors, OFS has the insight and experience to create impactful software for any business.

OFS is proud to be a certified Heroku/Salesforce partner, which empowers us to deliver exceptional applications that drive companies forward on their digital transformation journeys.

As a company, what can we bring to the table?

Our sharp focus on digital transformation and data analytics helps companies gain insights into their customers’ needs, so they can deliver products and services their customers love.

OFS can bring you these benefits with our engineering capabilities:

Optimal resourcing
Elastic, scalable solutions
Applications that your customers can connect with anytime, anywhere
Real-time data analytics solutions that provide insights you can use to make decisions on how to meet your customers’ needs now and predict what their needs will be in the future

Made with open-source technologies, built HIPAA compliant.

Our remote patient activity monitoring, prediction and anomaly detection application demo, iHealth, uses open-source technologies and libraries, and hosts them on the Heroku Shield environment to meet the security aspects of HIPAA compliance.

What is the iHealth application demo?

This application demo consumes physical activity data—human heart rate, temperature, orientation, or acceleration—in real time on a patient. It then streams and evaluates this data to produce statistics, detect the type of physical activity a patient is doing, and then detect or predict anomalies in a patient’s heart rate.

What are the activities considered in the dataset for ingestion?

Vacuum Cleaning

Transient Activities

Standing

Sitting

Running

Playing Soccer

Nordic Walking

Lying

Ironing

House Cleaning

Driving

Walking

Watching TV

Descending Stairs

Cycling

Ascending Stairs

Computer Work

Folding Laundry

Rope Jumping

How the iHealth App Demo Works

Acting as a healthcare provider, you can monitor the vitals for a set of patients in real time.
Initially, data is collected from a patient cohort, and the application learns activity patterns to set the background for predicting anomalies.
Data is then collected in real-time from remotely located patients using IoT devices and fed to the provider system in the cloud for analytics. First, the app detects what type of physical activity the patients are doing.
The application will indicate to us if there are heart rate anomalies among the patients it’s monitoring. This will show as a red indicator against the patient's image in the provider dashboard.
With the iHealth app, a healthcare provider or doctor can ultimately understand the following about his/her patients:
- Patient’s activities
- Heart rate during those activities
- Anomaly score (Probability)