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Case studies

We have been meticulously researching and building Wellsphere operational solutions since 2019 based on the rapidly evolving evidence-base. In this time we have had the privilege of partnering with some of the worlds largest and most innovative public and private institutions. The two case studies below highlight a snap shot of how we have been able to seamlessly collaborate to drive comprehensive workforce health, safety and productivity.

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Qantas Freight (QF)

Services used: Assess, Optimise, Transform

Fatigue | Prevention | Productivity

Self-directed Movement Health program and a custom Qantas WHS x Productivity Data Asset is helping deliver a 20% reduction in MSD injury mechanism and a culture of prevention

Context

  • A relatively mature but largely siloed WHS environment due to the size and a >100 year history  

  • Rising WC claims costs & absenteeism due to frequent injuries

  • Lack of leading indicators for preventative action --> reactive safety culture not reducing incidences

  • Multiple systems, programs & people tracking health & safety in siloes --> no clear RoI

  • QF was looking to deliver a ‘prevention culture’ and drive RoI transparency on its multiple H&S initiatives

 

Approach​​

  • Assess - Employed a modern digitisation strategy to begin linking >4million rows of siloed data (e.g. Intellex, WorkDay) and program inputs to deliver baseline transparency across WHS and productivity RoI (Well-Tech Data Project)

  • Optimise - Co-designed and implemented with workers and WHS leadership a data-enhanced prevention program (Movement Health). Self-serviceable, 90s movement assessments on portable force plate technology located on-site to deliver employee self-awareness and drive preventative action 

  • Transform - On-site support embedded within QF teams enables expert guidance aligned to business goals and operational workflows that cost-effectively extends QF domain expertise and accelerates outcomes. 

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Results

  1. Created the first QF WHS and Productivity Data Asset - Baselined initial workplace intensity factors (hours + tonnage) vs WHS incidents --> identified hotspot locations, shifts, & working conditions linked to risk and productivity.

  2. 20% Reduction in MSD Injury Mechanism - While hard to attribute direct cause and effect in complex, operational environments, an increase in early intervention activities linked to the Movement Health program shows promise.

  3. Executive Metric Dashboard & Modelling – Established predictive utility of current data asset and implemented initial lead indicators into a scorecard enabling a proof-of-concept for improved prevention decision-making.

Queensland Police

Services used: Assess, Optimise

 Prevention | Readiness | Engagement

60s self-directed Readiness screen saves time and resources with improved physical and psychological benefits

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Context​

  • QPS is experiencing increasing recruitment and retention pressures and rising WC claims

  • Large, complex, shift-based workforce across many locations with varying infrastructure

  • Improving the personalisation of physical and psychological readiness and injury prevention support at cost-effective operational scale was identified as a priority.

  • WTS was brought in to do a 6-month pilot to identify root causes, cohorts at risk and propose cost-effective, and more personalised preventation strategies that could scale. 

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Approach

  • Assess - Integrated short, operationally relevant education modules and 60s self-directed, personalised Readiness Scans across Recruiting, Officers and Special Teams

  • Optimise - Leveraged operational data science to identify readiness and risk levels in real-time and collaborate with team leaders to create program optimisations.

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Results

  1. Significant Efficiency and Scalability Increases – 60s Wellsphere solution vs previous 30min physio screen; lower cost that helps direct those for physio/psych support

  2. Are we doing enough at Recruit phases? 44% of recruits were considered at readiness risk. This increases to 69% for whole of force if left un-managed.

  3. Special Teams Optimisations - The Dog Squad were able to use readiness data to optimise their physical and psychological training environment through weekly "musters"

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