Data security in healthcare: Protecting patient privacy in a digital age

Data security in healthcare: Protecting patient privacy in a digital age

By Partisia,

Data Privacy, Cybersecurity, Healthcare

In healthcare, data saves lives, but it needs to be protected. As hospitals, clinics, and research institutions digitize operations, data security in healthcare has become one of the industry’s most urgent challenges.

From personal medical histories to genomic data, healthcare organizations handle some of the most sensitive information there is. And in the wrong hands, that data can be exploited with devastating consequences.

The stakes are high. Cyberattacks on healthcare systems have risen sharply in recent years, with ransomware, phishing, and data breaches targeting everything from patient records to insurance details. Protecting this data isn’t just about avoiding fines, it’s about safeguarding patient trust, operational continuity, and public health.

What is data security in healthcare?

Data security in healthcare refers to the processes, technologies, and policies used to protect sensitive health information from unauthorized access, loss, or corruption. This includes:

  • Electronic Health Records (EHRs)

  • Diagnostic data and lab results

  • Insurance and billing information

  • Research and clinical trial data

  • Communication between healthcare professionals

Effective data security ensures that only authorized personnel can access health data and that it's stored, transmitted, and processed in a way that maintains confidentiality, integrity, and availability.

Why healthcare is a prime target for cyberattacks

Healthcare is uniquely vulnerable to cyber threats for several reasons:

Valuable data: Medical data is often more valuable on the black market than financial information.

Legacy systems: Many healthcare organizations rely on outdated IT infrastructure with poor security controls.

Time sensitivity: Hospitals are more likely to pay ransoms quickly because delays can affect patient care.

Wide attack surface: The rise of telemedicine, wearables, and remote monitoring devices has increased entry points for hackers.

These factors make robust data security in healthcare not just advisable, but critical.

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The cost of a breach

The financial toll of a healthcare data breach is the highest of any industry. According to IBM’s 2023 Cost of a Data Breach Report, the average cost of a healthcare breach is over $10 million. But the damage isn’t just financial. A breach can result in:

  • Legal liability and regulatory fines

  • Loss of patient trust and reputational harm

  • Disruption of clinical services and patient care

  • Targeted attacks on patients whose data was stolen

Key principles of healthcare data security

To effectively protect patient data and maintain regulatory compliance, healthcare organizations must adopt a multi-layered security strategy. This includes both technical safeguards and organizational best practices:

1. Encryption
All sensitive health data, whether stored in a database, transmitted between systems, or accessed through mobile devices, should be encrypted using strong, industry-standard protocols. Encryption acts as a final barrier against unauthorized access. Even if data is intercepted or stolen, it remains unreadable without the proper decryption keys. Encryption should be applied to both structured (EHRs) and unstructured data (emails, imaging, PDFs).

2. Access controls
Not every employee needs access to every piece of patient information. Role-based access control (RBAC) limits access based on job function, ensuring that only authorized personnel can view, modify, or transmit sensitive data. This helps reduce insider threats and accidental exposure. Implementing multi-factor authentication (MFA) further strengthens access control by adding additional layers of identity verification.

3. Audit trails
Detailed logs that track who accessed what data, when, and for what purpose are essential for transparency and incident response. Audit trails allow organizations to detect suspicious activity, investigate breaches, and demonstrate compliance during audits. These logs must be secured and regularly reviewed to ensure they provide value without introducing their own vulnerabilities.

4. Data minimization
One of the most effective ways to reduce risk is to limit the amount of data collected and stored. Only gather what is strictly necessary for care delivery or operations. By minimizing data retention periods and eliminating redundant storage, organizations reduce their exposure to breaches and simplify compliance with privacy laws.

5. Regular risk assessments
Cyber threats, system vulnerabilities, and regulatory requirements are constantly evolving. Regular security audits and risk assessments help organizations stay ahead by identifying weak points, testing defenses, and prioritizing remediation efforts. These assessments should also include third-party vendors and connected systems that handle patient data.

6. Compliance frameworks
Healthcare data is subject to some of the world’s most stringent privacy regulations, including HIPAA in the U.S., GDPR in the EU, and HITECH for digital health systems. Organizations must not only understand which laws apply to them but also embed compliance into their daily operations. This means ongoing staff training, clear documentation, and systems built with privacy by design.

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How Partisia strengthens data security in healthcare

At Partisia, we help healthcare organizations secure their data without locking it away. Our Confidential Computing platform, built on Multi-Party Computation (MPC), allows hospitals, researchers, and insurers to collaborate and analyze patient data without ever exposing it.

With Partisia, healthcare teams can:

  • Run privacy-preserving clinical trials across institutions

  • Train AI models on distributed datasets without compromising privacy

  • Share insights while remaining fully compliant with GDPR, HIPAA, and other regulations

  • Maintain auditability and transparency with cryptographic integrity, not manual overhead

By keeping raw data encrypted and never shared in full, our platform eliminates the tradeoff between data utility and data privacy.

This isn’t just theory, it’s already in action. Through our collaboration on the OSCAR project, we’re enabling secure, real-time collaboration on clinical and health data across institutions, unlocking new research insights while ensuring patient privacy.

When healthcare teams can collaborate without exposing sensitive data, innovation accelerates and patient trust grows. That’s the power of secure data sharing.
Kim Nørskov Chief Success Officer at Partisia

The future of healthcare is digital, collaborative, and data-driven. But it will only work if it’s built on trust.

By investing in privacy-preserving technologies and adopting proactive security strategies, healthcare providers can protect patients, comply with regulations, and unlock the full potential of their data securely and responsibly.

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Frequently Asked Questions

Data security healthcare

Because healthcare data is deeply personal, a breach can lead to identity theft, medical fraud, and loss of trust in providers. Strong data security protects both patients and healthcare organizations.

Common threats include ransomware attacks, phishing, insider breaches, unsecured devices, and outdated software. These vulnerabilities can expose sensitive patient data and disrupt care.

Healthcare data is highly valuable on the black market, containing personal, financial, and medical details. Many organizations also run on legacy systems that are easier for attackers to exploit.

Use end-to-end encryption, enforce access controls, conduct audits, provide staff training, and adopt advanced cryptographic tools like MPC.

Technologies like Multi-Party Computation (MPC)  allow organizations to process and share data securely, enabling innovation without sacrificing privacy.

Get in touch

Kim Nørskov

Kim Nørskov

Chief Success Officer, Partisia

kim.norskov@partisia.com