Why is scaling innovation in the NHS so challenging? After attending several digital health workshops and events with startups, scaleups, and NHS stakeholders recently, one theme continues to dominate conversations: frustration with the slow pace and challenges of adopting and more specifically scaling innovations across the NHS. To clarify, innovations are being adopted—but the journey to scale a proven, evidence-based, and cost-effective solution across the NHS can be extremely challenging. Here are some thoughts (personal and from event discussions) of the core challenges contributing to this. 🔵 Fragmented NHS landscape & procurement pains – The NHS isn’t one single entity but a network of thousands of independently run organizations, each with their own management priorities and procurement hurdles. Even if an innovation is adopted in one NHS Trust, rolling it out elsewhere often means starting from scratch. 🔵 Lack of centralized scaling mechanisms – There is no robust mechanism for scaling evidence-backed, cost-effective innovations across the NHS. Proven solutions often remain localized due to a lack of system-wide support. 🔵 Outdated digital infrastructure – Interoperability issues and outdated systems create barriers to seamless integration with clinical workflows. 🔵 Financial constraints – Cash flow remains a pressing issue, with many NHS Trusts focused on maintaining current services. Limited capital leaves little room for trialing or scaling new innovations. 🔵 Regulatory complexity and ambiguity – The rigorous regulatory environment ensures safety and quality but often creates significant challenges for innovators. Navigating standards and regulatory requirements involves lengthy, ambiguous, and resource-intensive processes. 🔵 Workforce burnout – The NHS workforce is stretched thin. Burnout and staff shortages leave little room for frontline staff to engage with or champion new ways of working. 🔵 Cultural resistance – Change, particularly in established workflows, often faces resistance at multiple levels, stalling adoption of new approaches and technologies. 🔵 Risk tolerance – There’s a critical need to rethink risk tolerance. Ironically, maintaining the status quo can be riskier in some cases than implementing newer solutions. Balancing safety with innovation remains a complex but necessary conversation. 🔵 Noise & hype - Separating credible innovations from hype remains a challenge. Tools like DTAC (Digital Technology Assessment Criteria) are a step in the right direction, but they could benefit from a revamp. Unfortunately, bad actors in the space can also spoil the landscape for everyone. Would love to hear perspectives on this: what do you see as the biggest barriers to adopting and scaling new innovations in the NHS? More importantly, what changes do you think are needed to pave the way for the NHS to adopt and scale innovations effectively at pace? #nhs #innovation
Challenges in Implementing Digital Public Services
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Summary
Challenges in implementing digital public services refer to the difficulties governments and organizations face when introducing technology-driven solutions for citizens, such as online portals, AI tools, or digital standards. These obstacles can range from technical barriers like outdated systems, to broader issues like organizational culture, regulatory complexity, and trust in new technologies.
- Bridge cultural gaps: Encourage open communication and leadership alignment to help staff embrace new digital processes instead of resisting change.
- Align standards and reality: Adapt digital frameworks to fit real-world departmental conditions while keeping core principles intact, so teams can make progress without getting stuck on ideal requirements.
- Build public trust: Address transparency and fairness concerns in digital tools, especially AI, by involving users and practitioners in system design and decision-making.
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#AI in the public sector? And yet it moves! And it’s a prime example of how technological advancement requires the highest social and ethical standards. “Ethical Integration in Public Sector AI”: the new IAB X Center for Responsible AI Technologies study is out. It addresses the ethical design of AI in the public sector, with a focus on #PublicEmploymentServices (PES). While AI is increasingly employed to streamline administrative processes and improve service delivery, its application in employment mediation raises fundamental concerns regarding #fairness, accountability, and democratic legitimacy. The EU AI Act has further underscored the urgency of addressing these challenges by classifying employment-related AI systems as high-risk. We examine how ethical and social considerations can be systematically embedded in the development and implementation of public sector AI. Using the German PES as a case study, we introduce the “Embedded #Ethics and Social Sciences” approach, which integrates ethical reflection and practitioner involvement from the outset. Qualitative insights from interviews with caseworkers highlight the socio-technical challenges of implementation, particularly the need to reconcile efficiency with citizen trust. We propose concrete design elements emerging from the integration of ethical and social considerations into system development: data ethics, bias, fairness, explainable AI. The approach supports compliance with new regulatory requirements but also strengthens human oversight and shared decision-making.
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The Cabinet Office publishes brilliant digital standards. So why do so many programmes struggle to follow them? I've worked on enough Whitehall programmes to see the pattern. Teams start with the best intentions, armed with the Service Manual, Technology Code of Practice, and Data Standards. Then reality hits. Departmental politics. Legacy constraints. Procurement timelines that don't align with agile principles. The standards aren't wrong. They're excellent frameworks built on hard-won lessons from GOV.UK and digital pioneers. But they were written for ideal conditions. Most departments don't operate in ideal conditions. The gap between what the playbook says and what actually works in your specific department kills momentum. Teams either ignore the standards entirely or follow them so rigidly they miss the point. There's a better path. Understanding when to adapt the standards without abandoning their core principles. This carousel breaks down where theory meets delivery reality and how to bridge that gap pragmatically. Swipe to see how to follow the spirit of the standards, not just the letter. #GovTech #DigitalTransformation #PublicSector #ProgrammeDelivery
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Every time I support organizations in their digital transformation path, I see the same pattern repeating. The problem is rarely about the tools. It is more often about the strategy—or the lack of it. The biggest challenges are not technological. “Lack of change management strategy,” “driving adoption,” and “culture mindset” are at the top of the list. Even “complex software” or “IT skills gaps” only become real obstacles when there is no clear vision guiding the transition. It confirms something I have been thinking for years: transformation starts from people, not from platforms. The success of digital initiatives depends on aligning leadership, mindset, and long-term planning. Without that alignment, even the best tools won't deliver impact. Let’s stop treating digital transformation like a tech upgrade and start treating it like the cultural shift it really is. #DigitalTransformation #Leadership #ChangeManagement #BusinessStrategy #Innovation #Culture #Mindset
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As more services move online, the public sector necessarily holds -- and uses -- far more data, much of it personal. Episodes like the 2018 SingHealth cyberattack are a reminder that public trust depends not just on convenience, but on strong governance and security. In practice, the boundary between “public” and “private” delivery is blurred. Many frontline and “last mile” services -- especially in social support -- depend on trusted external partners that have community relationships and specialised expertise. The challenge is that, today, when agencies need to share data with such partners, they often have to rely on consent or a common-law “public interest” basis, which can be slow and legally uncertain even for clearly public-spirited programmes. These amendments aim to create a clearer statutory framework for sharing data with trusted external partners, while importing familiar PSGA-style safeguards -- such as documented, scoped authorisation by the responsible Minister or delegate that specifies the purpose, the partner(s), and the data to be shared, and does not override other legal or contractual restrictions. On accountability, the intent is also clearer: external partners remain subject to the PDPA for personal data, and the amended framework would add offences and deterrents so that individuals handling shared government data in partner organisations face consequences for unauthorised disclosure or misuse, including for non-personal data that the PDPA would not cover. The key challenge will be implementation. Government agencies generally have more mature governance, training and cybersecurity processes than many smaller partner organisations. If more sensitive data is to be shared to improve service delivery, there should be commensurate investment in partner capability -- clear minimum standards, practical support, and proportionate compliance expectations -- so partners are not given new responsibilities without the capacity to carry them out safely. https://lnkd.in/gDwY4Btb
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What exactly are the government's plans on digital identity? We have a critical need for a trusted and effectively delivered system of distributed digital ID and digital verification. Despite some progress, the current, continuing lack of clarity is concerning. Many of us have been at this for some time. I raised the issue, repeatedly suggesting amendments to various legislation asking for "the government’s plans for the development and deployment of a distributed digital identification for individuals and corporate entities in the financial services sector". My amendments also specified the need for public engagement and "scalable, flexible and inclusive" systems - they were not accepted. Since then: The Department for Science, Innovation and Technology launched the Office for Digital Identities and Attributes (OfDIA) to oversee the Digital Identity Attributes Trust Framework (DIATF) which certifies service providers. According to the latest update (pub 7 April 2025) 58 organisations can deliver digital verification for Right to Work, Right to Rent and background check (DBS) compliance. The Data (Use and Access) Bill, currently making it's way through Parliament, will put digital verification services on a statutory footing. Whilst progressing the Digital Identity Framework (DIATF) the government simultaneously worked on GOV.UK One Login (a single account for citizens to login, prove their identity and access all central HMG services). As far as the market was concerned this was completely separate from digital ID and age verification services. Recent government announcements about the introduction of a Gov.uk digital wallet and app confirming the launch of digital driver's licences ("mobile driver's licenses" or mDLs) and digitized veteran cards make this separation a lot less clear. Is this a move from the development of competitive market to state play? A secure, verified, distributed digital ID could be transformational, whether we are thinking about fraud, convenience for citizens, efficiency for businesses and government, or even the beloved economic growth, but there must be trust in the system. A DSIT survey found that although people want verifiable identity, accountability and transparency are essential. The challenges are significant and it is unclear whether the public trust the government not to misuse data, either intentionally or due to data breaches. There are also fears of mandatory ID as well as the risks of excluding those who are already vulnerable to the digital divide. We need strong privacy protections, voluntary use, robust security, and broad public trust. If the public feel excluded and companies feel the government is now lining up to directly compete with them, then, trust is missing. If we are to realize the opportunities and protect from the harms of the new technologies now available to us then this is a journey we all must be part of: the discussion, the design, the deployment.
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Focus on Problems, Not Just Technology: Avoid the trap of "techno-optimism" This The World Bank report explores how digital technology can be used to address critical gaps in human capital, where billions lack access to essential health, education, and social protection services. It emphasizes that while technology offers significant promise for personalized learning, improved healthcare, and responsive social support, its potential has been limited by challenges such as the digital divide, fragmented systems, and insufficient attention to user needs. The report provides a strategic framework for policymakers, proposing actions to create a future where digital transformation enhances human potential. Key Actions for Policymakers: 🔌 Invest in Foundational Infrastructure and Skills for All: Strategic investments in reliable electricity, affordable internet, and widespread digital literacy are critical to building a digital society. Without these essentials, even the best digital services will fail to reach those who need them most, exacerbating the digital divide. 🔗 Build Shared Systems, Not Silos: Governments should shift from creating isolated, single-purpose applications to developing shared, interoperable digital platforms that offer services across sectors. This people-centered approach reduces costs and frustration, enabling integrated support in health, education, and social protection. 🤝 Harness Private Sector Innovation, Responsibly: Public-Private Partnerships (PPPs) should be leveraged to accelerate digital infrastructure and service delivery. However, these collaborations must be governed by clear rules and shared values that protect the public interest and ensure sustainable business models. 🌍 Design for the Vulnerable and Manage Digital Risks: Systems must be designed to support vulnerable individuals during critical moments, such as job loss or illness, and to address the digital gender gap. A strong data governance framework is necessary to protect the vulnerable and build trust in digital systems. 🎯 Focus on Problems, Not Just Technology: Digital solutions should be adopted to solve specific human challenges rather than as an end in themselves. Moving beyond fragmented pilot projects to implement scalable, sustainable systems is essential to deliver value for people and jobs. source: https://lnkd.in/ehrdV-Un
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Africa’s most reliable digital service is not a portal. It is the sentence: “The network is down.” That may be the most deployed public interface on the continent. And that is the uncomfortable truth behind a lot of our so-called digital transformation. We keep celebrating digitization. New portals. New apps. New dashboards. New platforms. But if a citizen still hears: come back tomorrow, the system is offline, your file is missing, you need to register again, then we did not digitize the service. We digitized the inconvenience. As I travel across Africa, I am genuinely encouraged by how much governments are pushing to digitize public services. That part matters. It can reduce corruption, speed up access, and improve how citizens interact with the state. But let’s stop confusing visibility with reliability. A portal is not progress if it collapses the moment the network becomes unstable. A dashboard is not reform if the service disappears when the connection drops. A data center is not modernization if the citizen still leaves empty-handed. Too many public systems are still being built on the wrong architectural assumption: that centralizing everything automatically makes the system stronger. So we keep seeing the same pattern: more central infrastructure, more complexity, more cost, more pressure on fragile networks, more single points of failure. And then one weak link brings the whole experience down. That is why so many citizens do not trust “digital transformation.” Because what they experience is not transformation. It is a digital waiting room. The real issue is not whether a ministry has launched a portal. The real issue is whether the service can still function when: connectivity is unstable, budgets are tight, uptime discipline is weak, and the central system is under pressure. That is why Africa cannot afford to treat digitization as a front-end exercise. The future is not centralization alone. The future is online when possible, offline when necessary. The future is infrastructure that reflects the market we actually live in, not the one consultants imagine. This is where edge infrastructure becomes critical. Not because it is fashionable. Because it is practical. It allows part of the workload to happen closer to the citizen. It reduces pressure on central systems. It lowers dependency on constant connectivity. It helps contain cost. And it keeps essential services running even when the wider network is unstable. Because the more services we digitize, the more dangerous it becomes to centralize everything. And the more we ignore resilience, the more digitization becomes another word for delay. So to every public institution serious about digital transformation: Do not just digitize the form. Digitize the reliability. Digitize the continuity. Digitize the infrastructure reality behind the service. Because citizens do not need more portals. They need systems that stay up. Welcome to the edge.
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The challenges facing government service delivery have never been more urgent—or more solvable. Danny Mintz, our Associate Director of Safety Net Policy at Code for America, recently sat down with Terry Gerton at Federal News Networkto discuss how new policy requirements, particularly around Medicaid and SNAP work reporting, are transforming how government serves people. We’re at a critical juncture where the complexity of new requirements could either drive us toward more human-centered government services, or create more distrust and a bigger barriers for those who need help most. The Congressional Budget Office estimates that 5.2 million people could lose health coverage due to new Medicaid work requirements. Behind those statistics are real people—parents juggling multiple gig economy jobs, those with varying monthly incomes, or rural residents with limited internet access trying to navigate complex reporting systems. While work requirements may sound straightforward—work 80 hours monthly, earn $580, or meet an exemption—the actual experience is far more complex. People face challenges documenting diverse income streams, navigating lookback periods that can disqualify them when they need coverage most, and understanding poorly communicated requirements. Through our state partnerships, we’ve learned that human-centered design is essential for effective government. When we test systems with actual users, reduce administrative burden through smart automation, and design with empathy for real-world circumstances, we see dramatically better outcomes. States that will succeed recognize a fundamental truth: making government services easier to access benefits everyone. When systems work intuitively, data flows efficiently, and people can navigate requirements successfully, both citizens and government win. This moment demands moving beyond digitizing broken processes to reimagining how government can truly serve people. The path forward isn’t choosing between accountability and accessibility—it’s designing systems sophisticated enough to achieve both, setting new standards for how government can work in the digital age. #PublicBenefits #Medicaid #SNAP #HumanCenteredDesign #StateGovernment #PolicyImplementation