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      Ireland’s healthcare system faces many of the same challenges as other jurisdictions: rising demand, workforce shortages and the need to deliver more integrated, patient-centred care. These pressures are compounded by an ageing population and growing expectations for digital-first services.

      National initiatives are underway to put in place the foundational and enabling systems that can help meet some of these challenges. These efforts, alongside virtual care pilots and predictive analytics initiatives, have contributed to Ireland’s 14-point improvement in the EU’s Digital Economy and Society Index (DESI) for digital public services.

      A key component of any future digitally enabled health service will be Generative AI (GenAI). GenAI can make a real difference and transform how healthcare professionals work, how patients experience care and how the system performs overall.


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      Impact of Generative AI on Healthcare jobs

      Practical applications of generative AI in healthcare (PDF, 5MB)
      Ray Vader

      Manager

      KPMG in Ireland


      Why GenAI matters for Ireland

      GenAI can support Ireland’s healthcare transformation by:

      • Automating clinical documentation and coding
      • Enhancing triage and diagnostics
      • Improving patient engagement through AI-powered interfaces
      • Supporting workforce planning and operational efficiency

      These capabilities align with national strategies such as Sláintecare, the HSE People Strategy 2025–2027, Digital for Care 2030, Harnessing Digital 2030 and Our Public Service: Strategic Workforce Planning Guide. They also support the goals of the Healthy Ireland Implementation Plan and the Women’s Health Action Plan.


      Our KPMG UK colleagues recently studied the impact of GenAI on 134 roles across 16,000 staff at a major NHS trust. From their analysis, we can identify clear opportunities for ethical, inclusive, and evidence-based adoption of GenAI across Irish healthcare.


      What we found:

      • GenAI can streamline screening, diagnostics, automate clinical documentation and triage, thereby supporting decision support.
      • It aligns with Sláintecare, the HSE People Strategy 2025–2027 and Digital for Care 2030. It’s not just about tech - it’s about empowering staff, improving outcomes and reshaping care delivery.
      • Ethical deployment and workforce readiness as well as patient engagement through transparent user-friendly interfaces are key to success.

      Use cases already emerging in Ireland

      Ireland is already utilising GenAI in:

      • Cervical histopathology coding using NLP and SNOMED-CT
      • AI-assisted radiology and breast cancer screening
      • Digital triage tools for COVID-19
      • Predictive analytics for emergency department demand
      • EHR-integrated AI for clinical decision support

      What’s next?

      To realise the full potential of GenAI, Ireland should do the following:

      • Conduct AI readiness assessments across clinical roles
      • Pilot GenAI tools in diagnostics and patient communications
      • Align with national reform programmes and ethical standards
      • Build agile governance and stakeholder engagement frameworks

      KPMG in Ireland is committed to supporting healthcare leaders in navigating this transformation through strategic advisory, technology enablement and ethical governance.

      Contact us to explore how GenAI can support your organisation.

      Kelan Daly

      Managing Director, Head of Healthcare Consulting

      KPMG in Ireland

      Tania Kuklina

      Director

      KPMG in Ireland

      Ray Vader

      Manager

      KPMG in Ireland

      Delivering efficiency and value for healthcare professionals and patients


      Addendum

      In this piece, we extrapolate the findings of the KPMG UK study on Generative AI in Healthcare on workforce transformation and operational efficiency, originally based on Leeds Teaching Hospitals NHS Trust, and contextualise them to a hypothetical but realistic and typical Irish hospital (Hospital X) in Part A and the broader Irish healthcare system (Part B).


      PART A - Generative AI (GenAI) in Irish Healthcare: Strategic Opportunities at Hospital X Introduction


      HX has 4,000 staff and a strong digital strategy, making it well-positioned to explore similar innovations.

      • Capacity: ~900 beds
      • Annual Patient Volume: Over 250,000 outpatient visits and 45,000 inpatient admissions
      • Specialties: Tertiary referral centre, national centre for cancer and haematology/Neurosurgery/renal transplantation/cardiology/trauma care

      • Strategic Alignment

        Strategic Alignment with HX’s Digital Vision HX’s Digital Strategy 2025–2035 outlines a commitment to becoming a showcase hospital for digital transformation. Generative AI is identified as a key enabler for:
         

        • Streamlined diagnostics 
        • Personalised treatments 
        • Medical image analysis 
        • Operational optimisation 


        The strategy also highlights the need for robust governance and ethical frameworks to manage AI deployment risks.

      • Workforce transformation potential

        The Leeds study analysed 134 roles across 16,000 employees. HX, while about a quarter of the size with 4,500 staff, nevertheless has a similarly diverse workforce. Generative AI could:

        • Automate and accelerate routine diagnostic imaging, improving accuracy as well. 
        • Automate routine clinical documentation through large language models (LLMs) and ambient listening, reducing replication and error rates, and resulting in improved outcomes. 
        • Support clinical coding (e.g. cervical histopathology) and triage, so that patients are more easily and quickly prioritised according to severity and urgency, thus improving patient flow and timely access to appropriate care. 
        • Enhance user engagement, shared decision-making and trust through transparent AI-powered interfaces. This aligns with HX’s goal to empower staff and improve care delivery through modern tools.


        These are the central pillars of Sláintecare and the HSE Corporate Plan 2025–2027. The National Inclusion Health Framework specifically addresses health inequalities and access barriers, that GenAI can help mitigate.

      • Patient-centric innovation

        Stakeholder feedback at HX emphasises the desire for digital-first access to health information and proactive care partnerships. Generative AI can support this by:

        • Enhance patient engagement through AI-powered interfaces, improving medication management 
        • Enabling patient-generated data integration 
        • Supporting remote monitoring and personalised alerts 
        • Enhancing trust through transparent AI systems 
        • Population health: GenAI can support early intervention and screening programmes and help address wider determinants of health through predictive analytics. This aligns with the Healthy Ireland Implementation Plan 2023–2027, which focuses on prevention and health equity. GenAI can support behavioural risk analysis and targeted interventions.
      • Ethical and regulatory readiness

        HX’s strategy also references the critical need for compliance with the AS ISO/IEC 42001:2023 standard for AI management systems. This ensures:
         

        • Ethical deployment 
        • Data security 
        • Accountability in clinical decision support 5.

      Next steps and recommendations


      To accurately replicate the Leeds study’s impact, we would: - Conduct a role-based AI readiness assessment at HX.

      • Pilot GenAI tools in diagnostics and patient communications. 
      • Engage with HSE and Sláintecare stakeholders for alignment. 
      • Encourage localised leadership, performance accountability and innovation in service delivery.

      Conclusion


      KPMG offers a number of AI-enhanced tools and solutions specifically designed to target the needs described above. In our next article, we will explore these and align them to the likely challenges facing Irish hospitals and more broadly the Irish healthcare system.


      Part B - Generative AI in Irish Healthcare: Opportunities and considerations for the HSE and beyond introduction

      As Ireland’s healthcare system undergoes transformative change under Sláintecare and the Health Regions Implementation Programme, the potential of Generative AI (GenAI) to reshape clinical pathways, diagnostics, and patient engagement is becoming increasingly evident.

      While the UK’s NHS provides a useful benchmark, Ireland’s unique healthcare landscape demands tailored insights. The broader context of the potential of generative AI in the wider Irish healthcare system is also underpinned by and aligned to the priorities within HSE's People Strategy 2025-27 document.


      • Strategic fit with Irish reform goals

        GenAI aligns with Ireland’s push toward integrated care, particularly through programmes like Enhanced Community Care and Urgent & Emergency Care. These initiatives aim to break down silos and deliver care in the right setting at the right time.

      • Strategic workforce planning, resourcing & engagement

        This includes AI-driven tools for requirements forecasting, recruitment, retention and improved service delivery through optimised training. It addresses staff shortages (especially in post-acute settings) that lead to impeded patient flow, especially in acute settings.


        The emphasis is on building high-achieving, adaptive and willing teams through re-skilling and leadership development, and optimised user interface design and functionality to support and facilitate new models of care, including digital diagnostics (see below).


        In this context, the Public Sector Agreement 2024–2026 includes commitments to 7-day service delivery and workforce flexibility, and is useful for discussing GenAI’s role in enabling continuous care.

      • Clinical decision support and diagnostics

        Use cases in Ireland


        The National Screening Service has begun exploring AI-powered clinical coding in cervical histopathology, leveraging SNOMED-CT and NLP to improve diagnostic accuracy and reduce human error. These efforts demonstrate how GenAI can support structured data extraction and accelerate clinical decision-making, and align with the Women’s Health Action Plan 2024–2025.
         

        • AI for radiology and imaging • The Mater Misericordiae University Hospital in Dublin began piloting AI-based chest X-ray analysis software (Behold.ai) in 2021 to help radiologists auto-triage suspected COVID-19 cases and lung abnormalities faster, flagging serious cases for faster radiologist review. Source: RTÉ News report, 2021 • The HSE’s National Screening Service has evaluated AI tools for breast cancer screening mammograms to improve detection accuracy and reduce workloads on radiologists. Source: Irish Times, 2021 – HSE looks at AI in screening
        • AI for patient triage • The AI-powered symptom checker Babylon Health, contracted by the HSE, was deployed as part of COVID-19 triage and information services in 2020, supporting patients in identifying symptoms and next steps without immediately attending GP or ED. Source: Irish Examiner, 2020 – HSE digital COVID-19 triage tools
        • AI in operational/demand forecasting and hospital avoidance • In 2022, the HSE’s National Integrated Care Programme for Older Persons explored AI-driven predictive analytics to forecast ED attendances and bed occupancy trends, aiming to proactively manage surges and resource allocation. Source: HSE Integrated Care conference proceedings, 2022 (internal document; summary referenced in Irish Medical Times).
        • EHR integration pilots • The Children’s Health Ireland (CHI) Epic EHR project includes integrations of AI-driven clinical decision support for sepsis alerts, medication safety, and predictive deterioration scores - these are foundational AI applications embedded in modern EHRs. Source: CHI Epic Go-Live press release, 2023
      • Ethical and regulatory considerations

        Ireland’s implementation and adoption of GenAI must be guided by robust ethical frameworks and international standards such as AS ISO/IEC 42001:2023.

        Transparency, accountability and patient consent are critical pillars for any deployment that encourage inclusive practices and ethical frameworks.

      • Infrastructure and governance readiness

        The restructuring of care governance into Health Regions provides a timely opportunity to embed GenAI into digital transformation strategies. However, success will depend on agile programme management and stakeholder alignment across the HSE and affiliated agencies with eHealth Strategy for Ireland.

      • Risks and mitigations

        While GenAI offers efficiency gains, risks include bias in training data, over-reliance on automation and challenges in clinical validation. A phased, evidence-based approach is essential, supported by multidisciplinary oversight

      • Patient engagement and communication

        This supports innovation in service delivery and staff engagement, including longer term digital transformation initiatives like the HSE's Digital for Care 2030 and ultimately better outcomes for patients.


      Conclusion

      GenAI holds promise for Ireland’s healthcare system, but its implementation must be thoughtful, inclusive, and aligned with national reform goals. KPMG Ireland is committed to supporting clients in navigating this evolving landscape through strategic advisory, technology enablement and ethical governance.

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