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IT mistake erases 11 years of viewing history for hospitals’ maternity records

22 September 2026 at 16:55

A β€œhuman error” in the IT department led to Nottingham University Hospitals NHS Trust (NUH) losing data from maternity records over an 11-year span.

The data loss occurred on August 18, the English hospitals announced in a blog post on Monday spotted by The Register. The blog said the problem is β€œthe result of human error” during routine technical work while β€œcreating a copy of a radiotherapy database for reporting purposes.”

The post reads:

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Β© Jacob King/PA Images via Getty Images

Bristol researchers say medicine already knows how to handle black boxes and AI could learn from it

21 September 2026 at 14:06

Researchers at the University of Bristol want to make medical AI systems safer by borrowing from how drugs get approved. Their "Learning Ensemble" framework defines three areas to check, including system limits, fairness across patient groups, and clinical fit. The goal is to catch models that work technically but can still be dangerously wrong in the clinic.

The article Bristol researchers say medicine already knows how to handle black boxes and AI could learn from it appeared first on The Decoder.

Developing Healthcare Robotics with GPU-Native Medical Physics Simulation

28 July 2026 at 20:49
A surgeon using simulation on a computer to place a catheter.Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation....A surgeon using simulation on a computer to place a catheter.

Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation. Every demonstration requires specialized equipment, clinical expertise, and access to patients or laboratory environments. This creates three fundamental challenges for developers. First is the data gap. Training modern robotic policies…

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Retiring Near Base: Pros and Cons for Veterans

20 July 2026 at 16:06
After years of moving wherever the military sent you, the idea of staying close to your last installation can feel like finally catching your breath. The familiar roads, the established friendships, the base exchange card that still works – it’s a compelling case. But a comfortable familiar isn’t always the best fit for the decades […]

Partnering with Bunkerhill Health: AI Agents that Improve Patient Outcomes

By: sbarry
16 July 2026 at 17:00

Partnering with Bunkerhill Health: AI Agents that Improve Patient Outcomes

Nish Khandwala and David Eng are building the AI agent platform to serve every function across the health system: clinical, operational, and administrative.

David and Nish.

Healthcare hasn’t historically been known as a fast or early technology adopter. Researchers struggle to access external data, collaborate with research institutions, and navigate complex regulations. Hospitals and health systems try to create their own tools or implement narrow point solutions from vendors, but they too often stall in experimentation and never reach patient care.Β 

Health systems need the right platform to quickly adopt AI, so they can refocus their time back on improving patient outcomes and providing better care.

Bunkerhill Health is that platform. Their core product, Carebricks, lets health systems create and deploy AI agents across any clinical or operational use case – turning the data a hospital already generates into timely action for the patients who need it. We first backed Nish Khandwala and David Eng at the seed, and we are proud to continue to double down.Β 

Nish did not read about this problem; he lived it. As a graduate student at Stanford, he helped build an algorithm that could estimate a patient’s coronary artery calcium score from a routine chest scan – a signal of cardiovascular risk that normally requires a dedicated, more invasive test. The algorithm was good enough to be published in Nature Digital Medicine. And then it went nowhere. Around the same time, Nish’s father suffered a heart attack, and his CT scan carried the very calcium signals the Stanford algorithm was built to catch. It is one thing to know that proven science sits unused in academic papers. It is another to watch it fail to reach your own family.

That experience taught Nish something non-obvious: the bottleneck in healthcare AI is not the technology, it is everything around it. So Bunkerhill initially built a system that gets an idea from research to the bedside – sourcing data from a consortium of leading academic medical centers, validating the model, shepherding it through FDA clearance, and installing it into the hospital where a clinician and a patient can actually use it. But they ran into another problem: health systems do not have the time or resources to deploy one-off AI solutions. So Bunkerhill built Carebricks to allow any health system to bring their ideas to life with AI agents across clinical, operational, and administrative work in one central platform. Health systems bring the ideas and the clinical judgment, and Bunkerhill turns them into agents.

We have watched this compound in the field. At UTMB Health, Bunkerhill rapidly went from one agent in production to more than twenty, spreading from one specialty to the next as clinicians saw what it could do. And just as importantly, it has allowed UTMB to consolidate what used to be multiple vendors’ point solutions into a single platform with Carebricks.Β 

Bunkerhill’s agents run quietly in the background, surfacing the findings that matter and catching the cases the system would have missed. Not to automate clinicians away, but to automate manually-intensive work so clinicians and their teams can focus more time on what they do best: caring for their patients.Β 

Nish and David are outlier founders with the technical depth and the relentlessness this problem demands, and they are pulling healthcare toward faster iteration and better outcomes for every patient, not just the average one. We are excited to partner with Nish, David, and the entire Bunkerhill team as they build the agentic AI platform for healthcare.

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The post Partnering with Bunkerhill Health: AI Agents that Improve Patient Outcomes appeared first on Sequoia Capital.

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