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    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.

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    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.

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    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.
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    Our principles for the use of artificial intelligence

    By adhering to core AI principles, we strive towards artificial intelligence integrations that are safe, effective, and aligned with the core values of Micromedex, supporting your team to make informed decisions to improve patient outcomes.
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    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.

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    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.

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    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.

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    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.

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    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.

    “By combining decades of expertise in evidence-based content with new approaches to AI, Micromedex will continue to provide healthcare professionals with the reliable and accurate clinical information they need, even more efficiently.”

    Sonika Mathur, Executive Vice President and General Manager, Micromedex

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