What good is science if no one understands it?

In my more than 25 years as a medical writer and health journalist, a persistent paradox has defined my professional practice: the deeper the science, the greater the risk that its meaning becomes inaccessible to those who need it most. Clinical evidence, regulatory data, and trial outcomes are foundational to better health decisions. Yet, without effective translation into clear, audience-appropriate language, their impact is limited, misunderstood, or worse, misused.

Scientific knowledge does not speak for itself.

The process of production and communication of science are distinct yet inseparable tasks. Producing robust clinical data is only half of the mission; ensuring that evidence reaches diverse audiences in forms they can interpret and apply is equally important. As Sir Mark Walport (British scientist and communicator recognized for his leadership in biomedical research and the promotion of science in public policy) has put it, “science isn’t complete until it is communicated”.

A fundamental challenge is that audiences have varied baseline knowledge, interpretive frameworks, and informational needs. Literature in science communication consistently emphasises the need to know your audience (whether clinicians, policymakers, patients, caregivers, or the general public) and to tailor messages accordingly. Technical terminology that serves intra-scientific discourse can impede understanding for non-experts, obscuring key risks, benefits, and uncertainties.

Clear communication must therefore navigate at least three dimensions: linguistic simplicity, contextual relevance, and structural coherence. Recent research into plain language summaries highlights this balance. Simplification that disregards nuance risks distortions; oversimplification can erode trust. Good summaries maintain fidelity to the evidence while rendering the essential messages comprehensible.

Advances in experimental methods also underscore the role of new tools in this process.

There are numerous studies and works that suggest that generative AI can be leveraged to produce clearer scientific summaries that improve lay comprehension and even public perception of scientists. The implication is not that AI replaces expert judgement, but that it can augment communicators’ capacity to bridge the gap between complexity and clarity.

Visualisation and narrative techniques further extend the reach of scientific communication. Studies on narrative medical visualisation show that well-designed graphics and storytelling frameworks help non-experts make sense of complex mechanisms or outcomes, without sacrificing scientific accuracy. Similarly, information design research argues that visual representation is not decoration: it is a vehicle for comprehension that should be integrated into research planning, not retrofitted at the publication stage.

Academic discourse on science communication also emphasises reflexivity and co-creation of meaning. The goal is not merely to deliver information but to engage audiences in ways that respect their context and expectations. This entails transparency about uncertainties and limitations, a practice that counters the widespread public misperception that science offers unequivocal answers.

For health-related communication in particular, clarity is not a luxury but a public good. Health decisions (from vaccination uptake to treatment choices) hinge on comprehension. Ineffective translation of clinical evidence can foster misinformation, erode trust, and ultimately harm public health outcomes. As communicators, we are custodians of clarity; we must resist the implicit assumption that technical expertise alone suffices to convey value. Communication is not about dumbing down content, but about making its relevance transparent and actionable.

As the war for public attention intensifies in an era of information overload, our professional responsibility is clear.

We must champion communication strategies that respect both the integrity of the science and the needs of diverse audiences. Only then will the evidence we communicate fulfil its potential to inform, to persuade where appropriate, and to empower informed decision-making.