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Published:

March 27, 2025

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3 mins

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The Evolving Landscape of Clinical Safety

Clinical safety is no longer just about avoiding errors—it is about proactively adapting to change.

Clinical safety has always been at the heart of healthcare, ensuring that patients receive effective and risk-free treatment. It is the foundation upon which trust in medical professionals and institutions is built. From medication safety to medical device regulations, clinical safety frameworks have developed over the years to address emerging risks. However, as technology transforms healthcare, new challenges are emerging that require our urgent attention—most significantly, the rise of artificial intelligence (AI) and cybersecurity threats.

What Is Clinical Safety?

In the UK, clinical safety is defined as the proactive identification and mitigation of risks associated with healthcare delivery to protect patients from avoidable harm. Every process, protocol, and innovation in healthcare must prioritise patient well-being. The consequences of lapses in clinical safety can be severe—ranging from medication errors to incorrect diagnoses, surgical complications, and even data breaches that compromise sensitive patient information.

The National Health Service (NHS) and other regulatory bodies oversee the implementation of safety standards to ensure high-quality patient care.

A key part of the UK’s clinical safety framework is the application of the DCB0129 and DCB0160 standards, which focus on the safety of health IT systems.

  • DCB0129: This standard provides guidance for manufacturers and developers of health IT systems, ensuring that clinical risks are identified, assessed, and mitigated during system design and deployment. Any company developing software that impacts patient care must comply with this standard to ensure safety is embedded from the outset.
  • DCB0160: This standard applies to healthcare organisations that deploy and use health IT systems. It mandates that organisations assess and manage the clinical risks associated with implementing and operating these systems. This ensures that digital solutions enhance, rather than compromise, patient safety.

These standards play an important role in ensuring that digital health technologies support safe and effective patient care within the NHS.

Within the UK, a Clinical Safety Officer (CSO) acts as the primary authority for overseeing this clinical risk assessment of healthcare technologies and ensuring that the DCB0129 and DCB0160 safety standards are met. CSO’s work to mitigate potential hazards by identifying and evaluating risks throughout the development and implementation process. They work alongside development and design teams to encourage the introduction of necessary controls to reduce or eliminate any potential risk to patients. They also ensure this process is rigorously documented and updated when required. 

While the UK has DCB0129 and DCB0160, the US regulatory landscape includes:

  • The Health Insurance Portability and Accountability Act (HIPAA): This law establishes national standards for the protection of sensitive patient health information and mandates security measures for electronic health records (EHRs) to ensure data confidentiality and integrity.
  • The Food and Drug Administration (FDA) Regulations on Health IT and Software as a Medical Device (SaMD): The FDA oversees the safety of digital health technologies, ensuring that software impacting patient care meets rigorous safety and effectiveness standards.

These US standards complement UK safety regulations and emphasise the need for robust clinical safety governance globally, especially as digital health technologies utilisation is becoming increasingly integrated into healthcare facilities.

The Role of Artificial Intelligence in Clinical Safety

Artificial Intelligence (AI) is changing the landscape of healthcare as it is offering improved diagnostics, predictive analytics, and automation of administrative tasks. However, its integration into clinical decision-making introduces new safety considerations. AI-driven tools depend on data quality, algorithm transparency, and human oversight. A flawed or biased AI model could lead to misdiagnoses, inappropriate treatments, or delays in care - ultimately potential harm to patients.

To ensure AI enhances rather than compromises clinical safety, robust validation processes, regulatory oversight, and continuous monitoring must be in place. Healthcare professionals must also be trained to work effectively alongside AI, understanding its limitations and knowing when human intervention is required. There is also an invitation and opportunity for Clinical Safety Officers to expand their understanding of AI, to ensure that risk assessments are proficient enough to also mitigate the risks associated with its usage. 

Cybersecurity: A Critical Component of Clinical Safety

In addition, the rapid digitisation of healthcare has also exposed healthcare institutions to cyber threats. Cyberattacks targeting hospitals and clinics have surged in recent years, with ransomware incidents putting patient safety at risk by disrupting access to critical data and systems. A breach in cybersecurity can have life-threatening consequences. If a hospital’s systems are compromised, patient records could be altered, medical devices manipulated, or essential services halted. Clinical safety must now include stringent cybersecurity measures to protect both patients and healthcare providers from digital threats. Investing in robust cybersecurity infrastructure, regular staff training, and incident response planning is no longer optional—it is truly a necessity.

Moving Forward: A Holistic Approach to Clinical Safety.

Clinical safety is no longer just about avoiding errors—it is about proactively adapting to change. The future of healthcare depends on our ability to anticipate and mitigate risks while embracing innovation responsibly. By making clinical safety a top priority, we safeguard not only individual patients but also the integrity of the entire healthcare system. Healthcare leaders, policymakers, and frontline professionals must work together to develop comprehensive strategies that integrate AI governance, cybersecurity protocols, and patient safety best practices. By doing so, we can ensure that technological advancements enhance, rather than compromise, the well-being of those we are committed to protecting.

Do you need support for your next steps in clinical safety? Squirrel™ and our clinical risk experts, like Zoe, can help you create a gold standard Clinical Risk Management System, a detailed and actionable hazard log, Safety Case Report and Clinical Risk Management Plan to assure your innovation’s clinical safety. Book a discovery call.

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