
Innovation
The fog of innovation
Good ideas rarely move in a straight line. They pass through uncertainty, resistance, feedback and constraint before they become useful.
Most ideas do not fail at the moment they are born. They fail afterwards, in the unclear space between recognition and adoption.
Someone sees a problem. The improvement feels obvious to them. The organisation, however, may not be arranged to notice it, test it, protect it, or help it survive contact with real operational pressure.
Short film
Fog of Innovation
A short supporting film on uncertainty, early ideas and the work of moving through the unknown.
Watch on YouTube →The question behind the idea
I am often asked how I came up with an idea that later became useful to clinical teams. The origin story matters, but it is not the most important part.
The more useful question is what happens after the idea appears. How does something small survive the fog between a clinical friction point and a tested change in practice?
Does it have to be that way?
That question is where many useful improvements begin. Not with a grand invention, but with a repeated friction point that refuses to disappear.
In my own work, that question sat around emergency airway preparation. It eventually led into the development of SCRAM™. But this article is not about a product. It is about the space every useful idea has to move through before it becomes reliable enough to matter.
Innovation is rarely a clean line
The early phase of an idea is unstable. It is not yet a product, a system, a pathway or a recognised solution. It is a piece of discomfort asking to be taken seriously.
That is the fog of innovation. You can see enough to move, but not enough to be certain. The path changes as the idea meets users, constraints, budgets, prototypes, governance, scepticism and real-world use.
The danger is that fragile ideas are often judged too early. They are asked to prove themselves before the system has created the conditions in which they can mature.
Uncertainty has to be managed
Uncertainty is not a sign that the idea is weak. It is a sign that the idea is still being tested against reality.
Useful innovation usually has to answer several questions at once:
- Is the problem real or just personally irritating?
- Does the idea reduce work or simply move the burden elsewhere?
- Can it be tested safely without over-claiming its value?
- Who needs to be involved before the idea is allowed to grow?
The answer is not to pretend the uncertainty has gone. The answer is to keep testing the design against the work.
The hidden no
In organisations, new ideas are not always rejected directly. More often, they are absorbed into delay.
“Yes, but…” can sound constructive. Sometimes it is. But it can also be a quiet no: a way of keeping an idea in permanent discussion without ever creating the conditions to test it.
“Yes, but” often means the system has not decided how to say yes safely.
A healthier design culture does not approve every idea. That would be reckless. But it does make the route visible. It shows what evidence is needed, who can authorise a test, how risk will be controlled, and what would make the idea worth stopping.
Without that route, useful friction points remain trapped inside conversations.

Friction points are design data
Every team has friction points. Some are obvious: missing equipment, unclear ownership, repeated work-arounds. Others are quieter: variation in layout, avoidable decisions, uncertainty about who is doing what, or equipment that is present but not immediately usable.
Not every friction point becomes a major innovation. Most should not. But repeated friction is data. It tells you where the system is asking people to compensate.
The real opportunity is not always to invent something new. Sometimes it is to see the existing work clearly enough to remove avoidable load.
Background reading on high-acuity, low-occurrence clinical work.
A practical resource on preparation and rehearsal for high-risk interventions.
Feedback makes the idea harder to fool
Early feedback can be uncomfortable because it exposes the gap between the idea in your head and the work as others experience it.
That gap is useful. It is where the design becomes more honest.
A weak idea avoids feedback because it wants to stay intact. A stronger idea uses feedback to become more useful.
Collaborative design is not a softer version of innovation. It is a harder one. It forces the idea to survive contact with practice.
Constraints force focus
Limited time, budget and expertise can stop an idea. They can also sharpen it.
Constraints force a decision: what is the smallest useful version of the idea that can be tested honestly? Not the polished final version. Not the version that impresses a room. The version that teaches you something.
That matters because broad ideas are easy to admire and hard to implement. Focused ideas are easier to test, easier to improve and easier to stop if they do not work.

Purpose helps, but it is not enough
A clear purpose matters. It helps people understand why an idea is worth attention. It keeps the work attached to something more important than novelty.
But purpose alone does not get an idea adopted. It still needs evidence, relationships, testing, iteration, governance, education and trust.
This is where many ideas fail. They have a strong “why”, but no route through the system.
Simon Sinek’s book on purpose and communication.
Geoffrey A. Moore’s work on moving from early adopters to wider markets.
Protect the idea without hiding it
Intellectual property is not the exciting part of innovation, but ignoring it is naïve.
Ideas need exposure to become useful. They also need enough protection to prevent avoidable loss, confusion or misuse. That balance depends on the idea, the partners, the market and the stage of development.
The principle is simple: protect enough to keep the idea viable, but not so much that it never learns from the world it is meant to improve.
The design lesson
The value of an idea is not proven in the meeting. It is proven in the work.
A design that sounds convincing but fails under pressure is not ready. A design that helps people prepare, coordinate and act more clearly has earned attention.
- Reduce avoidable cognitive load.
- Make preparation visible.
- Support shared mental models.
- Test the idea against real conditions.
AI in the fog
Artificial intelligence now sits inside the innovation conversation. Used well, it can help people explore options, analyse information, summarise feedback and make patterns easier to see.
But AI is not a substitute for judgement. It does not understand the clinical context in the way a team does. It cannot feel the consequence of a badly designed system at 03:00, in a cramped space, when time is short and the team is already loaded.
AI can be a lamp in the fog. It should not be mistaken for the ground beneath your feet.
The useful future is not human or artificial intelligence. It is the disciplined combination of both: human experience, operational judgement and clinical responsibility supported by tools that help us see, test and refine more clearly.

What survives the fog
Innovation in clinical practice is not just about having the idea. It is about helping the idea survive the conditions that usually kill it: uncertainty, delay, resistance, weak feedback, unclear ownership and poor routes to testing.
What survives is rarely the first version. It is the version that has been challenged, tested, refined and made useful enough for the work.
If we want better systems, we need more than creative people. We need organisations that know how to notice friction, protect early ideas, test them safely and learn without smothering the idea too soon.
Related podcast
Designing for Crisis
In this conversation with Dan Dworkis, MD, PhD, we discuss human-centred design, performance under pressure and building systems that hold up in crisis.
The Emergency Mind Podcast
EP 89: Paul Swinton on Designing for Crisis
A practical discussion on clinical design, uncertainty and the work of improving systems under pressure.
Acknowledgement: the film linked in this article represents a fusion of human creativity and AI technology. The script and creative direction were human-authored; the narration was generated with AI assistance.
Closing thought
Belief gets an idea moving. Design gives it a chance of surviving contact with reality.
The fog does not disappear. You move through it by testing the work, listening carefully, protecting what matters and knowing when the next step is safe enough to take.




