Resources

C. difficile infections (CDI) are a challenge for hospitals; impacting patient and financial outcomes. AI technology can help pharmacists identify at-risk patients sooner to improve prevention and treatment.

Explore overall trends in how AI is transforming the healthcare industry, including the potential impact on pharmacists. One key area is applying AI to identify patients at risk for Clostridiodies difficile infections and detect antimicrobial prescribing anomalies.

The NIOSH list was created in 2004 with an intent to prevent occupational exposure to hazardous drugs in healthcare workers. Since its inception, it has been revised to keep up to date with drug development and evolution, and it is undergoing its most recent update in 2020.

This video explores hospitals' current focus with opioid stewardship programs, challenges hospitals face when trying to launch or expand their programs and the tools and information needed to make these programs successful.

Sentri7’s predictive C. diff infection risk score helps hospitals identify at-risk patients sooner and proactively address modifiable risk factors to prevent infection and improve outcomes

Natural Language Processing scours provider notes for earlier and more accurate sepsis detection

West Virginia hospital committed to leveraging electronic surveillance platform for early identification and treatment of sepsis.

Wolters Kluwer, Health, released today the newest version of its industry-leading clinical surveillance solution, Sentri7®.