Advancing healthcare with artificial intelligence in clinical decision support
Micromedex enables informed decisions, helping clinicians and healthcare leaders harness AI with confidence as technology advances.
EXPERT INSIGHTS
AI adoption in clinical practice
Artificial intelligence (AI) has evolved into a powerful tool in healthcare, with rapid advances offering opportunities to optimize patient outcomes, streamline clinical workflows and unlock new insights from complex datasets, particularly within clinical decision support systems.
The power of AI in clinical workflows
Discover how the use of AI in clinical workflows can enhance efficiency, streamline tasks and empower healthcare providers to focus on patient care.
Explore real-world examples of machine learning technologies and AI systems for healthcare delivery and key patient safety considerations to be aware of.
The rise of AI in pharmacy practice
Explore 5 key applications of AI in pharmacy practice, and how to responsibly prepare for the future of AI to support clinical decision-making.
Discover uses for deep learning and predictive AI algorithms in the pharmacy function and the potential impact on healthcare system outcomes.
ON-DEMAND WEBINAR
Unlocking value from clinical evidence with AI
Hear expert perspectives from both clinical and data scientist leaders as they explore the role of AI in advancing smarter, faster clinical insights.
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.
