Artificial intelligence, digital care and connected systems are no longer a future agenda. They are in use, at scale, in nearly every healthcare context. The relevant question today is not whether these technologies will reach the point of care. It is under which conditions they generate real value for patients, professionals and health systems.
Drawing from over two decades of experience at the intersection of international accreditation, governance and quality in healthcare, I have observed the same confusion appear repeatedly across boards, executive teams and transformation projects: treating the adoption of technology as if it were, in itself, the new model of care. It is not the same thing. It never was.
Adoption Is Not Transformation
Organisations that simply adopt technology achieve isolated gains. Organisations that use technology to genuinely transform their model of care manage to shift structural outcomes. The difference rarely lies in the choice of tool. It lies in what surrounds it.
Despite the accelerated advance of digital health in recent years, the 60:30:10 pattern of global healthcare quality has remained static for three decades, as described by Braithwaite and colleagues in BMC Medicine in 2020. Technology, on its own, does not move these numbers. Other things do.
What Actually Sustains Change
Three conditions consistently appear in organisations that succeed in translating digital investment into real improvement in care.
The first is senior leadership and C-level executives who take ownership of quality as a strategic priority, not simply as a task delegated to the quality department. When this leadership sets quality as the organisation’s strategic direction, technology enters the system to serve it. When it does not, technology serves other agendas, and clinical outcomes continue to follow familiar patterns.
The second is genuine interoperability, rather than parallel digitalisation. Systems that do not communicate multiply the workload of clinical teams and fragment the view of the patient. Interoperability is, above all, a decision of governance and standards, and only secondarily a technical decision.
The third is a culture of continuous learning. Clinical data only transforms care when it becomes a decision, and a decision is only sustained when it returns to the system as an adjustment. Without that flow, data accumulates without driving improvement.
When these three conditions are in place, technology accelerates. When they are absent, technology automates inefficiency. And automated inefficiency comes at a high cost, in resources and in outcomes.
Where Accreditation Comes In
Artificial intelligence is the area that has advanced most rapidly in recent years, and also the one that has required the greatest clarity in governance. The ISQua EEA, in the 6th Edition of the Guidelines and Principles for the Development of Health and Social Care Standards, published in 2025, introduced a dedicated principle on Digital Care and AI Systems. The World Health Organization had moved in the same direction earlier, publishing dedicated guidance on the ethics and governance of AI in healthcare in 2021 and updating it in 2024.
The message of this principle is direct. Digital care and AI systems must be sustained by explicit governance structures, organised around two central pillars: Robust Technical and Regulatory Framework, ensuring access to technical expertise and alignment with local regulation or international best practice; and Continuous Monitoring and Accountability, with ongoing evaluation of use and active mitigation of unintended consequences.
Accreditation plays a specific role in this arrangement. It establishes objective and measurable criteria, sustained by cycles of survey and continuous improvement, so that digital transformation takes place in conditions of quality and safety. It reduces variability. It increases predictability. It establishes the conditions for responsible innovation.
The new model of care will not be defined solely by the technology we adopt, nor by the artificial intelligence we manage to integrate. It will be defined by the combination of these technologies with the governance that sustains them, the leadership that gives direction, and the accredited standards that guide the path forward.
Building this combination, with the coherence it requires, is the work of senior leadership, healthcare professionals and accreditation bodies in this decade.
Camilla Covello, BA, MBA-HM, FISQua
Board Member, ISQua & ISQua EEA
Member of the Corporate Governance Committee, ISQua
