Smart Health Ecosystem for Faster, Safer Post Surgery Recovery

An integrated ecosystem combining wearables, mobile devices, and predictive chips to transform post-surgery care. It monitors recovery in real time, predicts health risks, and delivers personalized insights. The goal: faster recovery, better outcomes, and improved patient experience.

An integrated ecosystem combining wearables, mobile devices, and predictive chips to transform post-surgery care. It monitors recovery in real time, predicts health risks, and delivers personalized insights. The goal: faster recovery, better outcomes, and improved patient experience.

An integrated ecosystem combining wearables, mobile devices, and predictive chips to transform post-surgery care. It monitors recovery in real time, predicts health risks, and delivers personalized insights. The goal: faster recovery, better outcomes, and improved patient experience.

About the Project

This project was developed as part of the Design Challenge at Encora’s Design Hackathon 2023. The process spans from research and problem discovery to strategy and solution design, ensuring outcomes that matter.

This project was developed as part of the Design Challenge at Encora’s Design Hackathon 2023. The process spans from research and problem discovery to strategy and solution design, ensuring outcomes that matter.

This project was developed as part of the Design Challenge at Encora’s Design Hackathon 2023. The process spans from research and problem discovery to strategy and solution design, ensuring outcomes that matter.

Duration:

10 days

Services:

UI/UX

My Role:

Product Designer

Project Statement

"Half of Americans over the age of 65 years will undergo operative procedures at some point in their lives, and these numbers are projected to grow."

In the realm of post-surgery recovery, there exists a critical need for personalised, real-time monitoring of patients' exercise routines and physical condition. Leveraging mobile devices and wearable technology equipped with predictive analysis chips, there is an opportunity to revolutionise how we track and anticipate the health progress of patients following surgery, tailored to their age and physical condition.

Current post-surgery rehabilitation processes often lack comprehensive, continuous monitoring tools. This gap results in limited insights into patients' progress, hindering healthcare providers' ability to deliver precise and individualised care. Furthermore, the absence of predictive analysis based on age and physical condition prevents proactive measures to prevent potential setbacks or complications.