Why Experience is Still the Foundation of Medicine at Sea

Artificial intelligence is rapidly reshaping our world, and healthcare is no exception. Algorithms can now interpret medical imaging, identify risk patterns and synthesise vast datasets in seconds.

In controlled clinical environments, these tools support better care delivery, but maritime healthcare operates in fundamentally unique conditions. Remote locations, limited onboard resources and limited options for escalation mean that effective care at sea depends heavily on human experience, judgement and intuition.

The future of healthcare at sea is not a contest between human and artificial intelligence. It is a model in which AI supports the decision-making of experienced clinicians rather than seeking to replace them.

A uniquely complex clinical environment

Maritime medicine exists far from the safeguards of hospitals and emergency departments, and clinicians are often required to make decisions with incomplete information, limited diagnostic tools, communication delays and other obstacles. The patient context is also broader. Fatigue, isolation, cultural differences and other risk factors all influence presentation and outcomes.

In light of these occupational realities, maritime clinicians must prioritise safety, stabilisation and risk management ahead of achieving a definitive diagnosis. This is where the nuances of real-world experience prove invaluable.

The role of intuition in clinical decision-making

Clinical intuition is frequently misunderstood as guesswork. Research increasingly defines it as tacit knowledge: a rapid, subconscious synthesis of experience, pattern recognition and situational cues.

A 2024 dissertation reviewing 28 studies across emergency and intensive care settings found that intuition supports swift judgement in acute scenarios, particularly when time is limited and information is incomplete. More importantly, intuition proved most effective when integrated with evidence-based practice rather than used in isolation.

A 2025 analysis further described intuition as an “experiential layer” that complements analytical reasoning, enhancing diagnostic efficiency in complex and time-sensitive scenarios while remaining susceptible to cognitive bias. Another study conducted more than two decades earlier came to similar conclusions – that uncertainty can never be fully eliminated from medical decision-making, and that an element of intuition is always present.

In maritime healthcare, where clinicians must weigh clinical need against operational reality, this integration of intuition and evidence is essential.

What artificial intelligence does well – and where it falls short

AI excels at tasks that are data-heavy, repetitive and protocol-driven. It can quickly process large datasets, identify statistical correlations and support predictive modelling. In healthcare, this can support activities such as analysing trends and standardising treatment guidelines. As a decision-support tool, AI can also uncover potential risks, suggest alternative explanations and help with documentation.

With proper oversight, AI can improve efficiency and awareness without replacing clinical judgement. A 2024 review in Frontiers in Health Services Research emphasised that while AI offers meaningful support, human clinicians continue to provide critical value through contextual judgement, empathy and ethical reasoning – all of which AI lacks, at least for now.

AI systems cannot account for contextual variables like vessel constraints, evacuation risk or human factors. They are also vulnerable to bias embedded in the training data and to errors caused by ambiguous inputs. Recent reporting has highlighted instances where AI-generated health summaries misrepresented source material or omitted critical context, creating the risk of misleading or harmful guidance.

Empirical research reinforces these concerns. A 2025 study published in BMC Emergency Medicine compared GPT-4 with a board-certified emergency physician across 15 standardised emergency scenarios. Full concordance occurred in just over half of cases, with notable failures in complex presentations such as stroke, haemorrhagic shock and mixed acid-base disorders.

Why human experience prevails at sea

Simply put, experienced maritime clinicians bring capabilities AI cannot replicate. They understand nuance, prioritise safety and quickly adapt when a standard response doesn’t fit the situation. For example, a human can better judge when evacuation would introduce greater risk than continued onboard management, or when clinical decisions must adapt to operational realities.

They also provide ethical and empathetic judgement. Decisions at sea affect not only patients, but crews, vessels and operations. These trade-offs require human insight and accountability.

The path forward: augmented intelligence

The most effective model for maritime healthcare is augmented intelligence: AI supports clinicians by handling data synthesis and decision prompts, while humans retain judgement, oversight and responsibility.

This approach ensures that AI remains a tool – not an authority – and something used to strengthen clinical teams rather than replace them. The safety of crew members and guests depends on professionals who can apply both evidence and intuition when it matters most.