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 Not all patients at risk for opioid overdose are prescribed naloxone when discharged from the emergency department or hospital. Clinical decision support (CDS) can be used to promote clinical best practices, such as naloxone prescribing; however, it may be ignored due to knowledge deficiencies or alert fatigue.

 Drug-drug interaction (DDI) alerts in electronic systems are frequently implemented to minimize the occurrence of preventable DDIs. While prescribers recognize the potential benefits of DDI alerts, a large proportion are overridden by users.

 When implemented in both electronic health records (EHRs) and pharmacy management software, CancelRx communicates medication discontinuation in the EHR to pharmacies, which has been demonstrated to reduce medication discrepancies at pharmacies and the risk of medication dispensing after e-prescription discontinuation. Provider workflows for making medication changes and the configuration of CancelRx will affect whether a medication change (e.g., dose adjustment) is communicated to a pharmacy.

 With an aging population preferring to age in place, there's a need for efficient health monitoring systems in eldercare. This study assesses the effectiveness of a linguistic summary alert system compared with a standard health alert system requiring data visualization interpretation by clinicians.

 This study aimed to explore clinicians' perceptions and preferences of prototype intelligence augmentation (IA)-based visualization displays of in-hospital deterioration risk scores to inform future user interface design and implementation in clinical care.

 Automation of test follow-up offers potential reductions in workload for clinicians. The primary objective of the study was to evaluate the performance of MicrobEx, a regular expression-based algorithm in classifying urine culture reports in primary care.

 Patients with cirrhosis are at high risk for developing hepatocellular carcinoma (HCC), warranting receipt of semiannual surveillance imaging with the potential to identify abnormal liver lesions. Since the implementation of the 21st Century Cures Act's Information Blocking provision, test results are immediately released to patients through the patient portal. There is an increasing trend of patients reviewing their results before their providers.

The degree to which deployed artificial intelligence-based deterioration prediction algorithms (AI-DPA) differ in their development, the reasons for these differences, and how this may impact their performance remains unclear. Our primary objective was to identify design factors and associated decisions related to the development of AI-DPA and highlight deficits that require further research.

 Cardiac amyloidosis (CA) is an underdiagnosed cause of heart failure (HF) that disproportionately impacts men of African descent. Without a standardized method of screening and scattered patient health information, clinicians must integrate data that spans multiple disease systems and is stored across the electronic health record.

 Health systems generate and store vast amounts of clinical data, requiring structured processes to ensure that secondary use of the data is available to researchers in an efficient, ethical, and secure manner.