Doctoral research

AI, robotics and emerging technologies in NHS intensive care

My ongoing study looks at the clinical, operational and workforce implications of adopting new technology. It asks how healthcare organisations can integrate technology effectively, and what wider changes may be needed to realise its value.

Three strands

Technology in context, with people at the centre

Clinical & operational performance

Decision support, workflow and coordination, and where avoidable delays and administrative demands could be reduced.

Workforce & capability

Staff workload, professional judgement, skills and the support people need when working with emerging technologies. This includes a smaller focus on how augmented and virtual reality (AR/VR) could support staff training and learning in healthcare.

Adoption & organisational change

The practical, ethical and organisational barriers that shape implementation in healthcare settings.

Papers

Sharing the research journey

Early-stage work and conversations with the wider research community.

2026 · Conference paper

Evaluating AI and Robotics in NHS Intensive Care: Clinical and Operational Implications

My role: First author

Technology · Care · Transformation

A development paper exploring AI and robotics in NHS intensive care, including clinical decisions, workflows and the organisational conditions needed for implementation.

Full author credits

Joshua Pal, Suresh Renukappa, Subashini Suresh, Sean Starr, Rajeev Krishnadas and Tonny Veenith.

2026 · Written evidence · AIB0012

AI and Automation within the NHS Workforce: Opportunities, Challenges and the Case for Strategic Implementation

My role: First author

Workforce · Automation · Implementation

Considers how AI and automation could support the NHS workforce, reduce administrative demands and be introduced through coordinated training, governance and implementation.

Full author credits

Joshua Pal, Suresh Renukappa, Subashini Suresh, Sean Starr, Veronica Annor, Cian Gopal, Chandrashekar Subbarao, Rajeev Krishnadas and Tonny Veenith.

2026 · Written evidence · AIB0010

Artificial Intelligence Adoption and Its Implications for Work, Productivity, and Policy in the UK

My role: Contributing co-author

Adoption · Productivity · Policy

Examines uneven AI adoption across the UK economy, productivity and job redesign, barriers for smaller businesses, workforce skills and safeguards for fair implementation.

Full author credits

Mohamed Musa, Suresh Renukappa, Subashini Suresh, Veronica Annor, Chandrashekar Subbarao, Joshua Pal, Rajeev Krishnadas and Tonny Veenith.

Working on something related?

I welcome conversations with researchers, healthcare teams and educators.

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Research video

An introduction to the research