Advancing healthcare with artificial intelligence in clinical decision support
Micromedex enables informed decisions, helping clinicians and healthcare leaders harness AI with confidence.


A new era of innovation
Discover AI-powered search in Micromedex
Trusted drug content, delivered faster
Micromedex is taking clinical decision support (CDS) to the next level. Look out for the new AI-powered search feature coming soon.
Micromedex AI-powered search
The same trusted content. Accelerated answers.
Built to accelerate clinical workflows
- Purpose-built for drug content
- Faster, tailored responses
- Streamlined decision-making
Trusted content at its core
- Uncompromised accuracy
- Transparency and traceability
- Unmatched precision and depth
Validation with expert collaboration
- Clinician-approved insights
- Data scientist collaboration
- Outcomes focused implementation

Whitepaper
Practical tools for mastering AI
Explore practical comparisons of AI technologies and a 5-step framework to help you critically assess AI-powered tools for clinical decision support to ensure they’re the right fit for your team and organization.
15 minutes of learning
Unlocking value from clinical evidence with AI

Expert insights
AI adoption in clinical practice
Artificial intelligence (AI) has evolved into a powerful tool in healthcare. Read our latest publications to dicover how rapid advances with AI offer opportunities to optimize patient outcomes and streamline clinical workflows.

Conversational AI in healthcare
Discover use cases of conversational AI in healthcare, with a spotlight on clinical decision support and important patient safety considerations for clinicians and healthcare providers.

The power of AI in clinical workflows
Explore real-world examples of machine learning technologies and AI systems to enhance efficiency and streamline clinical workflows.

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.
“For 40 years I have relied on Micromedex clinical decision support for the many facilities I have been responsible. During that time, Micromedex has continued to be an industry leader, setting the pace in electronic content delivery as technology advances.”
Robert Fink, Pharm.D., MBA, FACHE, FASHP, BCNSP, BCPS, VP, Pharmacy Services, UofL Health, USA
“With an AI-powered search, if you can pull information from curated, reputable sources, and there’s a process for maintaining them over time, then you’re going to get better results.”
Scott D. Nelson, PharmD, MS, FAMIA, ACHIP Program Director, MS Applied Clinical Informatics (MS-ACI), Associate Professor, Biomedical Informatics, Clinical Director, HealthIT, Vanderbilt University Medical Center
“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
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.
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.
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.
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.
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.
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.
