Is Artificial Intelligence Making Workplace Stress Redundant?

Stress in the workplace is a big deal. It’s been noted that work related stress symptoms and diseases can account for more £29 billion a year spent on sick days in the UK alone, while the average amount of employees stressed at work is reaching 70% in leading UK sectors. Companies are being faced with the bills that preventable, stress-related chronic diseases produce. However, thanks to the results of various field trials of wearable devices by CoDE’s David Plans, in a joint activity between CoDE and the spin-off company founded by David, BioBeats, workplace stress may be a thing of the past.

Building on the success of previous trials with AXA PPP Healthcare, BioBeats, the leader in digital health and artificial intelligence, completed one of the largest studies on corporate work stress and wellness with leading financial services company, BNP Paribas, an AXA PPP Healthcare client.

The academic trial with BNP Paribas is part of BioBeats’ focus on transforming the way organisations use data to help employees understand their health, and what causes stress – connecting the dots and managing their wellbeing by providing personalised interventions based on artificial intelligence (AI).

Quoted in mobihealthnews, Plans explained, “We don’t think anyone has gotten in the field with a serious classifier like ours …. the combination of psychometrics testing and checking in – asking the person what is on their mind and giving them an outlet to express it .… What happens if there is a known link between preserved cognition and heart disease? No one has seen that link in data in the field like this.”

In practice, this means several things for the study and treatment of workplace stress:

The use of technology to provide actionable insights

By incorporating biometric data into your daily working life, you’ll be able to identify key stress triggers and begin to understand the patterns of how you’re feeling and what can set you off;

Real time behavioural changes alongside environmental and practical changes

Once you’ve identified stress and anxiety triggers, you’ll be better equipped to deal with them — perhaps giving yourself an ‘intervention’ before a big meeting or chat with your boss. Small changes can have a significant impact on overall wellbeing;

A stress algorithm that provides insight on ‘actual moments of stress’

We’re not always completely in tune with our body’s stress levels, especially when it comes to work related stress (in fact, we’ve probably developed complex mechanisms to help us ignore it in a misguided bid to ‘stay efficient’). With the help of machine learning’s consuming and assessing our data, we’ll be alerted even when we’re not paying particular attention;

Predictive analytics to prevent stress response before it occurs

Once the stress technology starts to get a feel for our habits, predictive analysis should be able to identify upcoming stress triggers in things like our calendars and emails;

Using field data for a combination of psychometric testing, and personalised ‘checking in’

There are so many other ways this tech can develop into real preventive and modelling behaviours that can help us calm down and get the job done when it needs to be. No one reacts the same to certain stress triggers and no one can condition themselves to work around and with them. This is when personalisation of interventions will kick in and the data will become really valuable.

CoDE is at the epicentre of digital transformations like these. Do you know what’s going to revolutionise your sector?




Share this Post!

About the Author : Kris Henley

Communications and Outreach for Surrey Business School's Centre for the Digital Economy, a newly-founded research centre to explore the implications of the Digital Economy for business, government and society.