An IoMT concept
for prediabetes.


Envisioning turning around prediabetes through IoMT.

 

Independent project
Dinah Coops: research and design

 

Challenge.

Pre-diabetes:

  • 84 million adults 18 and over in the US 

  • costs of more than $245 billion a year 

How could the internet of medical things help people diagnosed with prediabetes reverse this situation?

Process.

A 3 week rapid design process researching the problem and patient needs, mapping a new experience, prototyping key elements of an IoMT system and producing a video demo sketch. 

Outcome.

An IoMT system that monitors health stats and encourages behavioral change by providing information and motivation in the right time at the right place to help naturally turn around prediabetes.

IoMT customer journey map.

To help work out the storyline for the chosen persona, I used a form of journey map to outline the basic story as well as the sensors, processors and outputs that would need to be used in the system.

 
DP3_pt 2 Storyboards_2_Page_1.jpg

Prototyping an experience.

 
At desk.jpg

Building the scenes.

Using a combination of sketches and location photography allowed me to visualize the story.

 
looking at food aisle.jpg

Rough cut.

I next put together a rough video cut that I used a combination of sketches and stills for,

 

Storyboarding.

 
DP3_pt 2 updated storyboards +vo 1.jpg

Mapping out the UX.

The storyboard mapped out the persona and their set of circumstances, how they could receive and interact with information through the system and what that might look like in action.

 
DP3_pt 2 updated storyboards +vo 2.jpg
 
PCC.jpg

The emphasis of the project was on timely recommendations, information and reminders about healthy choices.

IoMT concept video.

The Internet of Medical Things (IoMT) is the collection of medical devices and applications that connect to healthcare IT systems through networking technologies. This is the final concept video about an IoMT for reversing the condition of prediabetes and preventing diabetes.

 
 

Reflection.

 
 

What are some unintended consequences that could evolve from a system like this?

Privacy and surveillance issues

Information would need to be incredibly accurate or the solution could do more harm than good

People could trick or fool the system 

What would I do differently?

This was a quick turn around concept video and I would have liked to take this idea to prediabetes patients for feedback 

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