Digital Transformation across Sectors: What Higher Education Can Learn from the NHS

Lucy Bamwo, Learning Technology Manager, Imperial Business School

Lucy Bamwo, Learning Technology Manager, Imperial Business School

Digital Transformation: Culture, Governance and Risk across Sectors

Digital transformation is often described as a technical exercise. Platforms are procured, systems are configured and training schedules are produced. Yet leading large scale digital change across both healthcare and Higher Education reveals a different truth. Transformation is less about software and more about culture, governance and professional identity.

In my experience of leading digital education initiatives within an NHS Trust during the implementation of a major electronic patient record system, and supporting two university wide virtual learning environment transitions, I found the contrasts to be instructive. I learned important lessons that higher education can draw from the healthcare sector when navigating digital transformation.

The first difference lies in governance and risk. In the NHS, digital systems are safety critical. An electronic patient record directly affects clinical decision making, continuity of care and patient outcomes. Governance structures are clear, centralised and tightly regulated. Risk tolerance is low, and standardisation is necessary to protect safety. Decision making pathways are explicit and once a direction is agreed, the organisation moves collectively.

In higher education, digital systems are pedagogical rather than clinical. A virtual learning environment shapes learning design, assessment workflows and communication, but rarely carries life critical consequences. Governance tends to be more distributed, reflecting academic autonomy and disciplinary diversity. Decision making is often consultative and iterative.

“Digital transformation is therefore positioned not as a compliance exercise, but as a collaborative endeavor.”

One lesson we can borrow from healthcare is clarity. Ambiguity and why change is happening is critical. In healthcare settings, the rationale for change is consistently linked to patient safety and quality improvement. In universities, linking digital transformation clearly to student experience, inclusivity and academic enhancement is equally vital.

Professional Identity and Co-Designed Change

The second contrast concerns professional identity. Clinicians, like academics, hold strong professional identities grounded in expertise and autonomy. In healthcare, however, there is a long established culture of protocol and evidence-based practice. Standardisation is understood as a mechanism for reducing harm.

In universities, standardisation can be perceived as a threat to academic freedom. Template structures, common navigation models and institutional design principles may be interpreted as constraints rather than enablers. At Imperial, there is a strong emphasis on extensive consultation and meaningful engagement with academic colleagues as we navigate digital transformation. Rather than imposing change, the approach is to co design, pilot and iterate, ensuring that academic expertise shapes the direction of travel.

Digital transformation is therefore positioned not as a compliance exercise, but as a collaborative endeavour. Academic staff are brought along through structured dialogue, targeted support and visible leadership sponsorship. By creating space for questions, challenge and refinement, Imperial works to alleviate concerns around standardisation and instead frame it as a foundation that supports innovation, consistency and an improved student experience.

Aligning Digital Change with Professional Values

The leadership challenge in both sectors is to align digital change with professional values. In healthcare, training framed around improving patient safety and reducing duplication resonated more effectively than training framed around system compliance. In higher education, digital initiatives framed around improving clarity for students, supporting inclusive curriculum design and reducing administrative burden are more likely to gain traction than those presented as technological upgrades.

A third lesson emerges from approaches to training and adoption. Electronic patient record rollouts are typically time bound and mandatory. Staff must reach a baseline level of competence before the systems go live. Training is scenario based, often replicating real clinical workflows. There is visible executive sponsorship, and “super users” or champions are identified within departments to provide local support.

In universities, there is often a more voluntary engagement model. While this respects autonomy, it can result in uneven confidence and variable adoption. If universities were to adopt the digital model used in the NHS, they could benefit from establishing a clearer strategy, and a more structured approach to scenario based training, in addition to greater endorsement from senior leaders. Champion networks, when properly supported, could act as cultural bridges between central teams and departments.

This is not to suggest that higher education should replicate the regulatory intensity of the NHS. The contexts are fundamentally different. Rather, it is to recognise that large scale digital change shares common human challenges across both sectors.

Both environments require psychological safety during transition. Both must address anxiety about competence and workload. Both benefit from transparent communication, investment in training and recognition of local expertise.

Perhaps the most significant insight is that digital transformation should be understood as organisational development. In healthcare, system change is accompanied by process redesign, workflow mapping and cultural engagement. In universities, platform migration should similarly be accompanied by reflection on curriculum design, assessment strategy and staff development. Technology may act as the catalyst, but people determine the outcome.

By examining digital transformation through a cross sector lens, institutions can move beyond viewing change as a technical project. Instead, they can approach it as a strategic opportunity to strengthen governance, clarify purpose and reinforce professional values.

In periods of rapid technological acceleration, including the growing influence of artificial intelligence and immersive technologies, this perspective becomes even more important. Systems will continue to evolve. The real work of digital leadership lies in ensuring that institutions evolve with them, in ways that are coherent, inclusive and aligned with their core mission.