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Augmented Reality Medical Diagnostics by NHS

 Augmented Reality Medical Diagnostics by NHS - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Virtual & Augmented Reality Software
  • Wearables - Augmented Reality Glasses, Headsets & Controllers
Applicable Industries
  • Healthcare & Hospitals
Applicable Functions
  • Human Resources
Use Cases
  • Virtual Training
The Challenge

The UK’s National Health Service, the UK’s national public health care provider, trains thousands of healthcare assistants, nurses, and doctors every year and employs some 1.5 million people, making it a top five employer globally. As a result, the NHS is constantly searching for better ways to train their employees and achieve better learning results.

One problem they identified was that certain subject areas were challenging for learners using conventional training methods, which are both costly and time consuming. They needed a solution that would accelerate knowledge transfer of key subject areas, reduce costs, and improve the number of people who can be exposed to training.

The Customer
The UK’s National Health Service
About The Customer
The National Health Service (NHS) is the publicly funded national healthcare system for England and one of the four National Health Services for each constituent country of the United Kingdom. It is the largest
The Solution

EON Reality was selected by the NHS to develop three interactive, tablet based applications with Augmented Reality functionality to cover three difficult-to-teach topics: Breech Birth (Obstetrics), Chest/Lung Emergencies, and Sepsis awareness/identification.

These apps were designed to be used both in the ward or in a classroom and then used as a “take-away” application loaded on the trainee’s device for off-site review and reinforcement of the learning objective.

Together with NHS’s doctors, surgeons, and other subject matter experts, EON Reality created applications that illustrated the differences between several lung and heart conditions, three types of breech birth conditions, and a diagnostic tool to help identify sepsis in patients.

Data Collected
Health Parameters, Labor Costs, Operating Cost, Personal Medical, Video
Operational Impact
  • [Cost Reduction - Labor]
    Trainees can now practice without the need for individual mannequins or subject matter experts using AR. This reduces the cost, but also the man hours needed to qualify trainees. 
  • [Efficiency Improvement - Training]
    Through engaging and interactive materials the training is remembered longer, completed quicker, and results in better on the job decision making. 

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