On April 6, cancer patients at Brockton Hospital in Massachusetts faced an unsettling surprise. They arrived for chemotherapy only to be sent home. A cyberattack had disrupted hospital systems. The emergency room shut down, and ambulances had to go elsewhere. Staff reverted to using paper records, leaving patients to wait for new appointment calls.
This situation isn’t unique. In May 2024, the Ascension ransomware attack affected 136 hospitals for weeks. That same year, the Change Healthcare breach compromised the personal health data of about 100 million Americans. A survey by the American Hospital Association (AHA) found that around 74% of hospitals experienced a direct impact on patient care from these incidents.
When hackers target healthcare systems, the consequences are severe. Missed chemotherapy, delayed surgeries, and unfilled prescriptions—all linked to cyber vulnerabilities. Experts in healthcare cybersecurity highlight a critical issue: hospitals may want to improve security but often can’t control the software they depend on. This creates delays in addressing vulnerabilities.
The pace of technological advances is alarming. While AI is rapidly improving drug discovery, it’s also being used to find security flaws at lightning speed. Just days after the Brockton attack, Anthropic announced an AI model that can autonomously discover and exploit software vulnerabilities. Health systems aren’t equipped to handle threats like this in real-time.
A recent report from the Cloud Security Alliance stated that the time between a vulnerability being exposed and exploited has dropped to less than a day. This poses a palpable risk. Marcus Hutchins, a renowned security researcher, pointed out that the delay in addressing vulnerabilities often isn’t due to lack of discovery but rather a lack of urgency in fixing them.
Community hospitals, which often lack robust cybersecurity support, are the most vulnerable. These facilities may run outdated equipment, making them less capable of responding quickly to threats. In times of crisis, they may face longer downtimes, directly affecting patient care when options are limited.
Healthcare systems are built on a complex web of vendor-controlled software. When a new vulnerability arises, hospitals can’t just apply a quick fix. They have to wait for vendors to develop and test patches, involving additional regulatory checks. This lengthy process significantly hampers their defense against attacks.
The stakes are high. When patients’ lives depend on timely medical interventions, delays caused by cyber threats can be fatal. A recent study found that cyberattacks on hospitals have led to real patient casualties, highlighting the urgent need for reform in the healthcare industry’s cybersecurity approach.
Despite existing infrastructure, the healthcare sector is racing against an evolving threat landscape. Initiatives like Project UPGRADE and the ARPA-H Cyber Challenge are attempting to leverage AI for faster identification and patching of vulnerabilities, but these efforts need to scale up quickly.
The healthcare community and policymakers also have to collaborate more effectively. Current safety regulations often fall short until a crisis strikes. This reactive approach can lead to devastating outcomes for patients.
As we navigate this growing uncertainty, it’s vital to recognize the gaps in our cybersecurity defenses. Patients deserve to know that their health data is secure and that their treatment won’t depend on outdated systems or slow patches. In an era where cyberattacks can impact life-saving care, we must advocate for stronger protections and support for our healthcare infrastructure.
Andrea Downing is a security researcher and patient advocate, co-founder of The Light Collective.
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Artificial intelligence,hospitals,patients
