Our latest Spring blog is authored by Dr Paulette Kumi. Alongside her clinical work at Oxford University Hospitals, she leads Medical AI Implementation for the National AI Diagnostic Fund project and is a previous Clinical AI Fellow with the NHS Digital Academy.
In this post, Dr. Kumi shares insights from her experience completing the Cambridge General Management Certificate of Achievement. During her journey, she attended the following Executive Education programmes: Managing Innovation Strategically, Leading Strategic Projects Successfully, Innovation and Value Creation in the Era of Artificial Intelligence, and Finance and Accounting for Non-Financial Managers.
Dr Kumi has been on an inspiring learning journey, and we extend our huge congratulations to her on this outstanding achievement. This post is part of the Executive Education Inspiring Leader series.
Before joining the GMCA, what were the biggest challenges you faced in your industry?
The implementation of artificial intelligence (AI) in healthcare continues to face several critical challenges, which can be broadly categorised into three domains: data and technical infrastructure, ethical and legal considerations, and human and organisational barriers.
Data and Technical Infrastructure Healthcare data is often fragmented, unstandardised, and siloed across jurisdictions. For example, the varied NHS IT systems currently restrict access to the large, integrated datasets required for effective AI training. In addition, leveraging such datasets demands high-performance computing resources and significant storage capacity, which pose barriers for many healthcare organisations already constrained by limited funding. Ethical and Legal Considerations: AI innovation frequently outpaces the development of regulatory frameworks, creating uncertainty and necessitating continuous monitoring. Rapidly evolving regulations, such as the EU AI Act (2024) and the HTI 1 rule in the United States, highlight the need for vigilance to ensure safety, transparency, and compliance. Human and Organisational Barriers Workforce resistance remains a significant challenge, partly driven by technical issues such as limited algorithm explainability. Additional barriers include the AI literacy gap, high upfront costs for technology adoption, staff training, and infrastructure upgrades, as well as the difficulty of demonstrating immediate return on investment (ROI). Moreover, the shortage of AI-literate healthcare professionals, coupled with concerns such as “alert fatigue” and fears of job displacement, underscores the importance of targeted investment in workforce development to enable the successful integration of AI into clinical workflows.
After completing the certificate, what has had the biggest impact on you, your team, or your organisation?
It has had a profound impact on my team and our organisation by equipping us with leadership frameworks that strengthen our ability to strategically integrate artificial intelligence into healthcare. These frameworks have enabled us to articulate a clear vision for AI adoption, foster collaboration across clinical, technical, and administrative teams, and embed ethical principles into every stage of implementation. As a result, we have cultivated a culture of shared responsibility and innovation, ensuring that AI enhances patient outcomes, optimises operational efficiency, and builds trust with both staff and the communities we serve.
How has your perspective on navigating and leading in your industry evolved since completing the certificate?
Since completion, my perspective on navigating and leading within healthcare has matured considerably. I now further recognise that effective leadership requires not only clinical expertise but also the strategic integration of emerging technologies such as artificial intelligence. The course underscored the value of structured leadership frameworks in guiding change, fostering collaboration across multidisciplinary teams, and ensuring ethical decision making. It also reinforced the need to view AI not as a peripheral technical tool, but as a transformative capability that, when implemented responsibly, can enhance patient outcomes, optimise operations, and strengthen trust. This has deepened my confidence in leading with vision, adaptability, and inclusivity as we address the complexities of modern healthcare.
Please share one key take-away from each of the programmes you have attended?
One of the key advantages of this programme is its flexibility in course selection, allowing participants to tailor their learning journey by choosing modules that complement one another and directly address individual needs and objectives. For me, the most significant take-away from the courses has been the recognition that effective healthcare leadership requires not only clinical expertise but also the strategic application of leadership frameworks to guide the responsible integration of AI. By leveraging these frameworks, leaders can foster collaboration across multidisciplinary teams, uphold ethical standards in decision-making, and position AI as a transformative capability that enhances patient outcomes, strengthens organisational resilience, and drives sustainable innovation.
Embark on a transformative journey with the General Management Certificate of Achievement (GMCA) and transition from a functional specialist to a confident, strategic leader. Create a bespoke learning pathway by choosing from over 40 programmes, completing 10 days of intensive study flexibly over two years. Learn more >
