Medical Indemnity for Consultant Surgeons in the Age of Robotics and AI: What Orthopaedic Surgeons Need to Ask Now

Ask most consultant surgeons whether they have adequate medical indemnity, and the answer will almost always be yes. But a more precise question — if a robotic-assisted procedure or an AI-supported planning tool contributes to a poor outcome, will your indemnity actually respond? — yields a far less certain answer.

That uncertainty is growing fastest in orthopaedics. Robotic-assisted joint replacement is still a minority of UK practice (around 6% of NHS knee replacements, versus 16% in the US and 42% in Australia, per a 2026 NIHR-funded trial), but adoption is rising quickly, and AI-supported planning and implant sizing are becoming more common alongside it. Orthopaedics already carries one of the NHS’s highest litigation burdens: a 2025 analysis of nearly three decades of NHS Resolution data found orthopaedic claims made up 10.8% of all NHS claims in 2023/24, costing roughly £250 million, with surgical and decision-making errors the leading causes [1]. That is the environment robotic and AI-assisted tools are entering — one where “the technology, not the surgeon, was responsible” is likely to become a more common line of argument.

Where does the loss actually sit?

Traditional indemnity assumes a relatively clear model: did the surgeon’s clinical judgement fall below the expected standard? Robotic and AI-assisted surgery complicates that. When an outcome is poor, the cause could be a registration or calibration error, a software or navigation fault, an algorithm-generated sizing recommendation, a surgeon’s decision to override (or not override) the system, or an equipment maintenance failure. Each points to a different kind of liability:

• Clinical negligence: did the surgeon’s use of, or reliance on, the technology fall below the expected standard?
• Technology and product liability: did the robotic platform, navigation software or AI planning tool itself fail or mislead?
• Data and privacy exposure: was patient imaging or planning data processed, stored or shared in a way that contributed to the error?
• Institutional liability: was the equipment properly maintained, calibrated and governed by the hospital or provider?

A single adverse outcome can straddle several of these liability areas at once. For a consultant, the practical risk isn’t just whether they’re indemnified, but whether that cover is coordinated with the hospital’s, the manufacturer’s and the technology provider’s own insurance. Gaps tend to surface only once a claim has already been made.

Real-life cases

A peer-reviewed study of 188 robot-assisted knee replacements found a 9% malfunction rate, with causes including hardware failure, frame loosening, and, notably, “conflict between surgeon decision-making and robotic planning,” where the surgeon overrode the robot’s plan intraoperatively [2]. That category is, in effect, a clinical description of exactly this liability question.

On the regulatory side, the FDA classified a 2013 recall of Stryker’s ShapeMatch Cutting Guide (a software planning tool for knee implants) as a Class I recall, its most serious category, after Stryker’s own disclosure confirmed a software defect could cause cutting guides to be made outside the surgeon’s intended parameters [4].

And the most litigated robotic system on record, Intuitive Surgical’s da Vinci (used mainly in urology and gynaecology), shows the scale this can reach: Intuitive’s own SEC filings disclosed around 92 product liability lawsuits as of 2016 and pre-tax settlement charges of $82.4 million and $13.8 million in 2014 and 2015, while stating it self-insures this risk entirely rather than buying commercial cover [5]. Even an established manufacturer treats this liability as hard to price through conventional insurance — this is the environment individual consultants now practise in.

When something goes wrong in a robotic-assisted procedure, it’s genuinely uncertain in advance whether the claim will be framed as clinical negligence, product liability, or both. How would your own indemnity respond to that uncertainty?

Three questions to ask

Orthopaedics is a sensible specialty in which to ask this directly, given how quickly robotic and AI-assisted tools are being adopted. Before taking on a new system, it’s worth asking your indemnity provider or broker:

1. Has my cover been mapped against how I practise now? Not a generic specialty rating, but a genuine understanding of which procedures, which technologies, and which planning tools you use, and how liability could arise from each.
2. Is my cover joined up with the institution and the technology provider? It should be clear in advance how a claim involving a shared failure (surgeon, robot, software, hospital) would be handled.
3. Does my broker understand the technology, not just the specialty? Robotic and AI-assisted orthopaedics has a different risk profile from open or manual procedures. The conversation with your broker should specifically consider any additional exposures the technology creates, rather than rating it purely against traditional surgical risk.

Conclusion

This isn’t a reason for caution about adopting robotic-assisted surgery or AI-supported planning. It’s a reminder that the technology is moving quickly, liability can potentially sit in a number of places, and it’s worth making sure your indemnity has been properly considered against how you actually practise today.

The consultants best placed won’t necessarily be the ones with the largest policy limit. They’ll be the ones who’ve had this conversation with their broker, in coordination with their institution.

If you’ve adopted robotic-assisted or AI-supported tools into your practice in the last two to three years, now is a good time to review your cover — not after a claim raises the question for you.

This article is intended as general guidance for consultant surgeons and does not constitute legal or financial advice. Every practice and indemnity arrangement is different — consultants are encouraged to speak with a specialist adviser about their own circumstances.

Sources

1. Gill SS, Sugand K, Gupte CM. “Why do orthopaedic surgeons get sued? An analysis of £2.2 billion in claims against NHS England.” Archives of Orthopaedic and Trauma Surgery, 2025.
2. “Robot-assisted total knee arthroplasty: adverse events related to…” Journal of Robotic Surgery (Springer), 2026.
3. “Robotic assisted knee replacement gives same patient outcomes as surgeon-only procedure in clinical trial.” University of Warwick / NIHR RACER trial, 2026.
4. Stryker Corporation. “FDA Classifies Voluntary ShapeMatch® Cutting Guides Recall as Class I Recall.” 2013.
5. Intuitive Surgical, Inc. Form 10-K, fiscal year 2015, U.S. Securities and Exchange Commission.