01 PERSON CENTRICITY
Focusing on human outcomes
When adopting AI technology in healthcare, the primary focus must always be on what truly matters: enhancing healthcare outcomes.
AI solutions in healthcare should be designed with a commitment to improving patient care and the experience of clinicians.
02 HUMAN OVERSIGHT
Strengthening professional judgment
AI technology should be used to support and enhance the expertise of healthcare professionals, not to replace human judgment.
AI solutions must be designed to empower users, enabling better decision-making and improving overall care delivery.
03 TRANSPARENCY AND FAIRNESS
Promoting accuracy, explainability and equity
Rigorous testing and validation to maintain clinical accuracy and reliability is crucial for any technology that impacts care outcomes. It’s also important to provide clear explanations for AI-driven insights to foster trust and understanding for users, for example, referencing source materials.
Efforts must be made to minimize risk of algorithmic bias, to support fair and equitable treatment for patients.
04 PRIVACY AND SECURITY
Safeguarding sensitive data
Robust measures must be taken to protect patient data and confidentiality, while complying with current data regulations.
The secure and ethical handling of information is crucial when adopting any technology in healthcare.
05 CONTINUOUS IMPROVEMENT
Evolving with user feedback and market needs
To deliver true value from AI technology, user feedback must be a fundamental tenet to ensure the technology evolves in a way that aligns with user needs.
A commitment to ongoing development and improvement is essential, ensuring AI solutions adapt to changing market needs and continue to provide meaningful results.
