RT @ASHPOfficial: Registration and housing are now open for the 2025 Midyear Clinical Meeting & Exhibition, happening December 7-10 in Las….

Five organizations collaborated to adapt the Extension for Community Health Outcomes virtual training model to provide practical, case-based pharmacogenomics education to clinicians who lack formal training in this vital component of pharmacy practice.

RT @EMPoisonPharmD: 🚨 From the AJHP EM issue: EM pharmacists are on the front lines of an ever-evolving toxicology landscape—overdoses, ant….

This clinical review for emergency medicine pharmacists describes how to recognize cannabinoid hyperemesis syndrome (CHS) and help patients manage their symptoms.

Children’s Hospital at Vanderbilt shares its structured, pharmacy-directed process for assessing the clinical and operational aspects of providing gene therapies and other high-cost, complex treatments.

The pharmacist’s role in transforming nephrology care:

KDIGO 2024 clinical practice guideline on evaluation and management of chronic kidney disease: A primer on what pharmacists need to know.

AI helps pharmacists streamline routine tasks:

The pharmacist as a key member of the kidney care team:

Developing an autoverification framework for medication orders at UNC Health:

RT @ASHPOfficial: Today’s the day! Pharmacy Futures 2025 kicks off today in Charlotte. Which sessions and events are you most excited for?….

RT @ASHPOfficial: Our Summit on Advanced Therapeutics kicked off this morning at #ASHPFutures25, beginning with Spotlight Speaker Anantha S….

Using machine learning to predict pharmaceutical interventions during medication prescription review in a hospital setting:

The investigational drug service (IDS) team at @BrighamWomens describes how technology, regulations, and research practices related to clinical trials have transformed the service’s work over the past 40 years.

Developing an autoverification framework for medication orders at UNC Health:

Using machine learning to predict pharmaceutical interventions during medication prescription review in a hospital setting:

Using machine learning to predict pharmaceutical interventions during medication prescription review in a hospital setting:

A scoping review finds that student pharmacists are an underused resource for creating accurate, detailed medication histories for inpatients:

A multidisciplinary team at Children’s Hospital Colorado leaned on Six Sigma methodology to cut automated dispensing cabinet (ADC) overrides by 65%, with no preventable medication errors reported during the study period.

A retrospective review identifies stage 4 chronic kidney disease, weight loss, cancer, and hemiplegia as clinical factors that may produce discordant results when creatinine versus cystatin C levels are used to estimate kidney function.