The healthcare sector handles large amounts of personally identifiable information (PII) and has become a main target for cyber threats. One major risk is quantum computing, which can break the encryption systems used to protect patient records. Because healthcare data must be kept safe, updating encryption methods is now very important.
Quantum computing uses ideas from quantum mechanics like qubits and superposition to solve difficult problems much faster than regular computers. This puts current encryption methods such as RSA and ECC at risk. These methods rely on mathematical problems that are hard for normal computers but can be solved quickly by quantum computers. This means today’s security methods might not keep data safe in the future.
Healthcare data is a big target because medical records include patient details, test results, prescriptions, and treatment histories. These records are protected by HIPAA laws and must stay secure for many years. If attackers collect data now and later decrypt it using quantum computers—a method called “Harvest Now, Decrypt Later”—patients could be affected for a long time.
To address this, U.S. government groups like NIST, CISA, and NSA are working on ways to prepare for quantum threats. They require federal agencies to start using post-quantum cryptography (PQC) by 2035. This is important for healthcare providers who work with the government, but all healthcare groups should take this seriously.
PQC means new encryption techniques designed to protect data from both normal and quantum computers. Unlike traditional cryptography, which may fail against quantum attacks, PQC uses algorithms thought to resist quantum decoding.
NIST has identified three main PQC standards:
Healthcare organizations need to adopt these standards to keep patient data private, protect communication lines, and follow new security rules.
Switching to PQC also means having “crypto-agility,” which lets organizations change encryption methods quickly as new quantum-safe options develop. This flexibility helps keep data secure even as technology changes fast.
Healthcare systems connect many devices and platforms, from registration kiosks to cloud records, remote monitoring tools, and operating room machines. Protecting data across this network is hard because there are many weak points.
Meg Gleason, a product leader at QuSecure, says medical data is tough to protect because it moves through many places and must be kept safe for decades. It usually takes over five years to upgrade encryption in healthcare, which slows down switching to PQC and raises risks from quantum attacks.
Many healthcare organizations still use old technology with encryption deeply built into their systems. Experts call this “cryptographic debt,” meaning outdated methods that raise security risks.
Also, edge computing is growing. This means devices like wearable health monitors process data locally. These edge devices often lack strong security and are easy targets for attacks. Using PQC on these devices is important for protecting data without slowing down healthcare services.
The U.S. government has made clear rules about improving cybersecurity, including dealing with quantum risks in healthcare.
Key points from a 2025 executive order include:
These deadlines mean healthcare providers should start updating their encryption now. Not doing so can cause losing government contracts, fines, and data breaches as quantum threats grow.
Some healthcare groups have already updated their systems successfully. For example, Otio, a software company, worked with QuSecure to add QuProtect, a PQC platform. This helped secure data without stopping current programs.
Rebecca Krauthamer, CEO of QuSecure, says quantum-safe security is needed now, not later. QuProtect is the first fully ready PQC solution made to help healthcare IT systems upgrade encryption easily.
Early use of PQC gives benefits like:
Modernizing encryption is only part of a bigger change in healthcare IT. AI and automation also help improve security and operations.
Deloitte’s Tech Trends 2025 report says AI is becoming important in many areas, including healthcare. It helps make technology smarter and faster.
In security, AI can:
AI also helps office tasks like answering phones and scheduling appointments. Companies like Simbo AI build AI tools that improve communication and reduce mistakes, helping keep patient data safe.
By using modern encryption and AI together, healthcare systems can protect data better at every step—from patient sign-in to treatment and follow-up.
Healthcare managers and IT leaders should consider these steps to meet quantum security challenges:
The U.S. healthcare sector faces a big challenge as quantum computing grows. Old encryption methods may not protect patient data for long. Quantum attacks like “Harvest Now, Decrypt Later” put information at ongoing risk.
The government has set deadlines for new quantum-safe encryption and new cybersecurity rules stress immediate action.
Good tools are available now, including PQC platforms and AI-powered security, that help healthcare providers protect data without hurting care delivery.
Meeting this challenge needs teamwork, ongoing investment, and quick adoption of new technology—not just to follow laws but to keep patient data safe and support quality healthcare in a digital world.
AI is becoming the foundational layer of all technological advancements, comparable to standards like HTTP or electricity, making systems smarter, faster, and more intuitive, embedded seamlessly in everyday processes without active user initiation.
AI is shifting the tech function’s role from merely leading digital transformation to spearheading AI transformation, prompting leaders to redefine IT’s future by integrating AI to expand capabilities and improve business operations.
AI agents refer to AI models optimized for specific discrete tasks, representing a move beyond general large language models to tailored solutions enhancing accuracy and efficiency in various applications, including healthcare.
Spatial computing uses real-time simulations and interactive environments, offering new use cases in healthcare such as enhanced diagnostics, surgical planning, and patient monitoring, thus reshaping industry practices through immersive AI-driven experiences.
AI demands significant energy and hardware resources, making enterprise IT infrastructure critical for supporting AI workloads effectively, emphasizing scalability, performance, and strategic infrastructure modernization.
AI disrupts the conventional single source of truth model by enabling more dynamic, real-time insights, and decision-making processes that improve accuracy and responsiveness beyond static enterprise resource planning systems.
Business-critical technology investments like cybersecurity, trust-building, and core modernization must integrate with AI innovations to enable seamless and secure enterprise growth while maintaining operational integrity.
Emerging threats like quantum computing challenge current encryption methods, necessitating urgent updates to cryptography to protect sensitive data in AI-driven healthcare systems and maintain patient confidentiality.
Healthcare entities can understand that AI will be deeply embedded in all operations, requiring strategic investments in infrastructure, security, and specialized AI agents to enhance care delivery and administrative efficiency.
Intentional exploration of cross-industry and technological collaborations can accelerate innovation, allowing healthcare AI agents to benefit from advances in biotech, IT, and analytics, leading to holistic, transformative solutions.