Imagine buying a high-tech tool that is supposed to save time, but your staff finds it confusing or clunky, so they end up working harder instead of easier. This work looks at why that happens and creates a guidebook to make sure technology actually helps people do their jobs better. It's like finding the perfect fit between a professional's skills and the software they use every day.
Companies often deploy expensive AI and robotics only to find that employees struggle to use them, leading to increased workload and decreased trust in management.
A set of practical tools including an Assessment Index to find tech-skill gaps, a Strengthening Model for implementation, and a Stakeholder Toolkit.
If you are a hospital network dealing with digital tools that create unintended workload pressures—this project developed an assessment index that identifies gaps between intended and actual technology use to improve service outcomes.
If you are a consultancy dealing with clients who struggle to adopt AI—this project developed a strengthening model that helps organizations implement digital technologies in ways that boost human capabilities.
If you are a robotics integrator dealing with low user trust in automation—this project developed a toolkit that ensures robotics complement rather than disrupt human expertise.
Based on available project data, no pricing or cost information is provided as this is a research-funded initiative.
Yes, the project specifically aims at scaling and validating findings beyond the healthcare sector through industry landscape surveys and workshops.
Based on available project data, specific licensing terms are not mentioned, though the project produces a Stakeholder Toolkit for wide dissemination.
The project creates intervention models and an assessment index designed to align digital systems with professional roles, teams, and departments.
The project runs from 2024-10-01 to 2027-09-30, with results being generated throughout this period.
The consortium is heavily academic, with 6 universities and 3 other research-oriented entities, but it maintains a 10% industry ratio with 1 SME. This structure suggests the output is evidence-based and scientifically rigorous, while the inclusion of a stakeholder engagement firm ensures the results are translated into practical business tools.
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