PATIENT SAFETY
CONFERENCE 2025

Innovation has the potential to improve patient outcomes and support healthcare workforce resilience. This session explores
how technologies such as AI and real-time data tools can contribute to safer care and better decision-making-when safety is
prioritised in their design. It will also examine how access to innovation can influence job satisfaction and professional
engagement, and how system-wide collaboration may help address disparities across healthcare systems.

Key Questions:

• How can innovation contribute to both patient safety and workforce resilience?
• What are the risks of unequal access to innovation for patients and professionals?
• How can system-level investment and collaboration ensure safety-focused innovation benefits all?

The shift toward home-based care, supported by intelligent monitoring and wearables, is transforming patient safety
dynamics. While these innovations enable earlier discharge and decentralised care, they also introduce new safety risks that
require enhanced coordination between hospitals, primary care, and families. Ensuring patient safety in this model depends
on proper training—not just for healthcare professionals, but also for patients and caregivers who are taking on expanded
responsibilities.

Key Questions:

• How can we equip healthcare professionals with the skills to manage patient safety in home-based care models?
• What kind of training do patients and caregivers need to ensure safe and efective self-management?
• What role does technology play in bridging gaps in knowledge and coordination?

Many hospitals struggle to integrate patient safety at the same level as financial stability, workforce retention, cybersecurity, and sustainability. Can AI help shift patient safety from methodologies that are mainly reactive to proactive, system-level strategies? Can a learning healthcare system, powered by data, make safety a strategic asset?
This session explores how leadership can combine safety goals with broader organisational priorities.

Key Questions:

• What prevents patient safety from becoming a system-wide strategic goal?
• Can AI and data systems help anticipate and prevent safety incidents?
• How do safety goals intersect with financial and organisational pressures?

Digital health, AI, and electronic health records o<er both risks and opportunities. While data security and interoperability are essential, there’s growing potential for using data to anticipate risks, tailor care, and inform system-wide learning. However, concerns about privacy and data ownership remain crucial.

Key Questions:

• What safeguards are needed for secure, ethical use of patient data?
• How can patient data be used to improve safety and personalise care?
• Who owns patient data, and how should access and control be managed?

Simulation is a powerful tool for developing teamwork and managing risk, particularly in multilingual and multicultural healthcare settings. This session focuses on how simulation can address communication and cultural barriers and support gender-sensitive training for safer, more inclusive care.

Key Questions:

• How can simulation training address challenges in multicultural, multilingual teams?
• What role does simulation play in shaping patient safety behaviours?

Environmental and patient safety goals are often addressed separately—but are there synergies? This workshop explores
whether greener care delivery models, eco-conscious design, and e<icient resource use can also improve safety and reduce harm.

Key Questions:

• Can sustainability initiatives directly contribute to better patient safety?
• How can we evaluate both environmental and safety outcomes together?
• What policies or practices support alignment between these goals?

In digitalised healthcare systems, AI and support tools must enhance, not replace, human judgement and relationships.
This session explores how to maintain empathy, shared decision-making, and human connection as central elements in safe care. It considers both the perspectives of healthcare professionals and of patients, emphasising the importance of meaningful engagement, trust, and the preservation of human values in increasingly digital environments.

Key Questions:

• How do we protect empathy, judgement, and clinical autonomy in digital systems?
• What risks emerge when technology overrides human interaction?
• How can patients contribute to the safety of their own care without being objectified?