10 Lessons in Digital Adoption
The NHS is shifting more care out of hospitals into homes and communities, aiming to make it more preventive, personalised and part of daily life. Digital tools can help make this possible, but care must be designed for the contexts in which it operates.
Nic Ferreira, Evaluation Lead at Health Innovation South West, shares key lessons learned during the implementation of digital technologies in the region.
In the South West, our rural and coastal geography magnifies the everyday challenges of digital adoption: distance, workforce capacity, and patchy connectivity. Digital care must be designed for the contexts in which it will operate. The technologies we tested were chosen to meet these realities, yet the lessons that emerged go beyond geography.
Our work in the South West continues to show that adoption is not simply about installing technology. It is about reshaping systems, behaviours and ways of working that were not designed for distributed, digitally enabled care.
Through the Health Technology Adoption and Acceleration Fund (HTAAF), Health Innovation South West worked with NHS Devon, NHS Somerset, and NHS Cornwall & the Isles of Scilly Integrated Care Boards to take a regionally aligned, approach to innovation.
We led evaluations of three of the nine funded technologies. These included Point-of-Care Testing in Virtual Wards and Hospital@Home pathways in Somerset and Devon, and an artificial intelligence risk stratification tool across Cornwall and the Isles of Scilly as part of HTAAF and NHS England South West’s Digital Neighbourhood pilot. In Devon we partnered with Royal Devon University Healthcare NHS Foundation Trust to evaluate cardiac wearables. We also supported digital inclusion and patient engagement with the NHS App in Somerset.
From this work, we have drawn ten lessons that can guide digital transformation in shifting models of care.
The 10 lessons
- Care is cultural as well as clinical
Moving care from hospital to home, and from reactive to preventive, is not just a logistical change but a cultural one. It challenges assumptions about where care happens, who provides it, and how risk and authority are shared between patients and clinicians. Without acknowledging these cultural shifts, even technically sound solutions can stall.
What does this mean for you?
Moving care into homes changes the social contract between staff, patients, and families. Prepare clinicians for new norms of trust, authority, and collaboration, and involve patients and carers early.
Prompt: Have you mapped how these cultural shifts will affect staff-patient interactions?
Example: In one virtual ward pilot, clinicians defined themselves as ‘guests in the home’, which showed the shift in relationship and dynamics needed to build trust. Acknowledging the cultural change early helps teams plan for it, rather than react to it.
- Digital adoption is a human and system process first
In the South West, success depended more on leadership, continuity of staff, and shared purpose than on the technical features of platforms. Projects thrived when relationships were stable and trust was strong.
What does this mean for you?
Strong, visible and consistent leadership is essential to keep the purpose clear, protect staff time, and nurture stable teams.
Prompt: Do your teams know why this matters beyond the tech? Why it matters to your Integrated Care Board (ICB) and regional vision?
Example: Teams with rotating staff struggled; those with stable leaders in teams and at ICB level could build practices and pilots aligned to a shared vision and next steps.
- Digital adoption is a project and change management challenge before it is a technical challenge
Structured onboarding, clear pathways, communication and peer learning determined whether tools were embedded or ignored.
What does this mean for you?
Run adoption as a change programme with clear pathways, structured onboarding, data management and peer learning.
Prompt: Can every staff member describe who does what, when, and what happens next?
Example: Uptake improved when staff used Standard Operating Procedures (SOPs) and pilot processes with clear roles and timing including device management, storage, and safety. This helps make technology part of daily work even at pilot stage.
- Buy-in is built, not assumed Staff concerns about workload, data reliability and workflow disruption were real. They were overcome by co-design, hands-on training and visible patient benefit.
What does this mean for you?
Build buy-in actively through co-design, repeated training, and share lessons early on patient benefit.
Prompt: How are you surfacing and addressing staff concerns after launch? How are motivation and confidence built over time?
Example: Community nurses were initially cautious about taking on blood testing during home visits, worried it would add time and complexity. Confidence and reassurance grew with hands on experience and tangible results that enabled quicker decisions and immediate care planning.
- Patients are partners
Home-based care gives patients more autonomy but also shifts responsibility. Without support, digital care risks deepening inequalities for those without skills or access.
What does this mean for you?
Treat patients as active participants. Provide digital skills support, involve carers, and design hybrid/offline options.
Prompt: Who is most likely to be excluded by your model?
Example: In rural areas, phone calls and SMS-based approaches keep patients included in virtual care support, connected to the care team and reassured when broadband was poor or where confidence in device use was low.
- Staff must adapt to new environments
Home is not hospital. Care delivered in personal spaces changes dynamics: clinicians become guests, decisions are relational, and patients are seen as people beyond their conditions. This requires new skills in communication, flexibility and problem-solving.
What does this mean for you?
As cultural shifts take hold from Lesson 1, staff also face the practical reality of delivering care in new environments, where everyday spaces and relationships shape how safe, personal, and effective care can be.
Prepare staff for the realities of home-based care. Provide practical training in communication, shared decision-making, and environmental problem-solving so they can deliver safe, respectful care in any setting.
Prompt: Do your clinicians feel confident adapting to unpredictable home environments while keeping care person-centred and safe?
Example: In one pilot, clinicians described stepping over boxes and moving a patient’s breakfast aside to set up kits, a simple act that required sensitivity, improvisation, and rapport different to a hospital bed setting. Equip staff for these practical and relational challenges to deliver care that feels both safe and human.
- The workforce is changing
Frontline staff are no longer just users but co-designers of care. They are learning to interpret data, use digital tools in real time, and collaborate with digital and technology teams to make services work.
What does this mean for you?
Redefine roles, don’t overload them. Equip staff for the digital world by building capability, confidence, and protected time for digital skill development. Recognise that these skills, from troubleshooting device issues, talking to innovators, and interpreting live data, are now part of professional practice and will be shaping role descriptions.
Prompt: Are staff trained, supported, and confident to use digital tools safely and effectively?
Example: In South West pilots, clinicians adapted to new devices but needed ongoing support to manage technical set up and troubleshooting, safety checks and updates, data flows, and decision-making alongside direct care.
- Digital care introduces additional, often unseen, work
Device cleaning, charging, calibration, software updates and troubleshooting are essential but often invisible in workforce planning. This “hidden labour” grows as projects scale.
What does this mean for you?
Plan for the workload that digital care creates. Assign ownership for these essential maintenance tasks, budget for them, and make them visible in operational plans.
Prompt: Who is responsible for charging, updating, and troubleshooting at scale?
Example: In several South West pilots, staff took on additional work to manage devices and data without formal time or resource. For instance, coordinating software updates across 50-70 devices and charging multiple devices while troubleshooting.
- Technology enables but people deliver
Tools like remote monitoring or point-of-care diagnostics only succeed when backed by training, usability testing and trust. Some tech passed regulatory checks but still failed in practice due to poor fit.
What does this mean for you?
Don’t assume compliance equals usability; technology has to have readiness tests. Pilot with real users, allow time for testing, and make training continuous.
Prompt: Have patients and staff tested the tool in real-world conditions?
Example: Several South West tools passed regulation but were questioned after usability trials as they were having technical issues or connectivity issues causing staff to not want to use them. Three months of user testing with staff and patients before a longer pilot looking at outcomes and benefits is recommended..
- Governance and accountability must evolve for sustainability
Pilots are not endpoints. As digital services scale, governance, risk management, and accountability structures need to evolve with them. What worked for 10 patients or one ward may not hold for 200 or an entire system.
By governance, we mean the shared structures that keep digital care safe, the clinical, digital, and operational processes that must adapt as services grow.
What does this mean for you?
Treat governance as a living framework. Build continuous feedback loops, refresh training, and update SOPs and risk assessments as services grow. Shared accountability between clinical, digital, and operational teams is essential for safety and sustainability.
Prompt: Do you have a plan for retraining and workflow refresh as needs change?
Example: Governance at some virtual ward sites had to be rewritten twice as patient numbers grew.
A human, cultural and systemic transition
These lessons make one thing clear: digital adoption is a human, cultural and systemic transition, not a technology roll-out. It is about rethinking how care is delivered, how teams collaborate and how patients participate. Shifting care from hospitals into homes, or from reactive to preventative models through digital tools such as remote monitoring, AI-enabled risk stratification, and point of care diagnostics, shows that success depends more on behaviour change, relationships, leadership and cultural readiness than on whether the technology itself works.
Take the introduction of point-of-care testing in virtual wards in Somerset, for example. Their pilot brought rapid diagnostics into people’s homes, giving clinicians same-day test results. The devices worked, after plenty of user testing and some challenges, but success was aided by clear project leadership, well-designed pathways, and safety testing that gave teams confidence to act on results. Embedding digital care meant embedding new ways of working, not just new tools.
In Devon, a ‘test and learn’ approach was used to explore remote monitoring with cardiac wearables. The testing revealed critical lessons in connectivity, data integration, and escalation, and a significant layer of invisible labour when it came to charging and updating devices, remote troubleshooting, data reconciliation, and coaching patients in how to use technology day-to-day. Far from being a barrier, the pilot highlighted the real skills and resources needed for digital care to be safe and sustainable.
Further down in Cornwall and the Isles of Scilly, the adoption of artificial intelligence risk stratification in primary care offered powerful lessons on what effective digital adoption really looks like at a system level, where ambitions, local oversight, and site buy-in must move together. Aligning the technology with shared system goals made adoption purposeful and sustainable, and local adaptation and continuous feedback shaped how the model could support proactive care.
Don’t just fund the tech, invest in the change
From Somerset to Cornwall, the story is the same: progress happens when people, not technology, lead the change. The NHS has a long history of innovation pilots that do not scale. Digital adoption within shifting care models will avoid that fate only if we invest as much in culture, leadership, and connectivity as we do in equipment. These 10 lessons are not just observations. They are a blueprint for starting or scaling any complex digital transformation.
Our team of implementation experts work closely with partners at local, regional and national levels to implement innovation in the South West. For support in digital adoption and to explore what these lessons mean for you, please contact Nic Ferreira ([email protected]).
