Part 2: Accelerating Adoption in Series A and PE-Backed Healthcare Innovation
In this second part of our adoption and scale series, we look at the factors that accelerated innovation adoption in healthcare. Read alongside Part 1, they offer a useful aide-memoire for assessing critical success factors at pre-letter of intent or the 100-day post-signature review.
Adoption Acceleration Point 1: Operational Ownership Mattered More Than Executive Sponsorship
The strongest programmes transferred responsibility from project teams to operational management as early as possible. Once operational leaders became accountable for implementation, adoption accelerated.
Successful innovations stopped being improvement projects and became part of day-to-day service delivery: the closer implementation moved to operational accountability, the faster progress tended to follow. Adoption fared best when it was clinically led and management supported — though applying this approach meant repeating the same model at every local health system, rather than mandating it once from the centre.
Counterintuitive observation: the people running the service usually mattered more than those approving the programme.
Adoption Acceleration Point 2: Pathway Fit Outperformed Innovation
The programmes with the fastest adoption often shared one characteristic: they fitted naturally within existing referral routes, workflows and service models. This didn’t necessarily make them the most sophisticated innovations — rather, they demanded less operational disruption. By aligning with established delivery mechanisms, implementation teams reduced friction and accelerated adoption.
Counterintuitive observation: the best-integrated solution often scaled faster than the most innovative one.
Adoption Acceleration Point 3: Workforce Mobilisation Created More Value Than Technology Deployment
The most successful programmes treated implementation as a workforce challenge, not a technology one. Training, engagement, local leadership and operational sponsorship consistently mattered more than functionality alone, and impact grew when frontline teams understood how an innovation supported their existing objectives. Technical capability created the opportunity; workforce mobilisation converted it into outcomes.
Counterintuitive observation: behaviour change generated more value than technical capability.
Adoption Acceleration Point 4: Evidence Generation Was Part of Delivery, Not Validation
The strongest programmes generated evidence continuously, embedding measurement within delivery rather than treating evaluation as a separate activity. Utilisation rates, workflow impacts and service outcomes were used to improve implementation in real time, while simultaneously building confidence among stakeholders.
Counterintuitive observation: evidence was not something collected after implementation — it was created during implementation.
Adoption Acceleration Point 5: Accountability Accelerated Execution More Than Consensus Building
The fastest-moving programmes established clear ownership, visible accountability and defined decision-making pathways: people knew who was responsible, who could make decisions and how implementation would be governed. Where accountability was explicit, the need for universal alignment fell away, and execution moved faster because responsibility was understood rather than shared broadly.
Counterintuitive observation: knowing who was responsible mattered more than everyone agreeing.
Closing Reflection
Across patient safety, diagnostics, medicines optimisation, digital health and service redesign programmes, the innovation itself rarely appeared to be the limiting factor. The recurring challenges arose where innovations met existing operating environments; progress accelerated, conversely, when ownership, accountability, workforce engagement and pathway integration became part of implementation. The local operating environment was often both the greatest source of friction and the biggest opportunity for acceleration.
Lived experience of adoption is key to determining the value of innovation investments — and this needs to be system-wide experience, not a handful of point solutions. Interviewing individual clinicians alone will not provide the full experience profile needed.
Final observation: innovation was rarely the constraint. Operational translation usually was.