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To describe nurses' preferences for the design of a probability-based clinical decision support (PB-CDS) tool for in-hospital clinical deterioration.

To systematically review the literature pertaining to asynchronous automated electronic notifications of laboratory results to clinicians.

To determine the effect of health information exchange (HIE) on medication prescribing for hospital inpatients in a cluster-randomized controlled trial, and to examine the prescribing effect of availability of information from a large pharmacy insurance plan in a natural experiment.

To assess patient and provider perspectives on the potential value and use of a bilingual patient portal in a large safety-net health system serving predominantly Spanish-speaking patients.

Given the strong push to empower patients and make them partners in their health care, we evaluated the current capability of hospitals to offer health information technology that facilitates patient engagement (PE).

In 2016, Singapore grappled with one of the largest Zika outbreaks in Southeast Asia. This study examines the use of Facebook for Zika-related outreach by the Ministry of Health (MOH) and the National Environmental Agency (NEA) from March 1, 2015, to September 1, 2016, and public response to this effort. Despite nearly equivalent outreach, MOH's Facebook posts received more likes (µ = 3.49) and shares (µ = 30.11), whereas NEA's posts received more comments [...]

All default electronic health record and drug reference database vendor drug-dose alerting recommendations (single dose, daily dose, dose frequency, and dose duration) were silently turned on in inpatient, outpatient, and emergency department areas for pediatric-only and nonpediatric-only populations. Drug-dose alerts were evaluated during a 3-month period. Drug-dose alerts fired on 12% of orders (104 098/834 911). System-level and drug-specific strategies to decrease drug-dose alerts were analyzed. System-level strategies included: (1) [...]

PEDSnet is a clinical data research network (CDRN) that aggregates electronic health record data from multiple children's hospitals to enable large-scale research. Assessing data quality to ensure suitability for conducting research is a key requirement in PEDSnet. This study presents a range of data quality issues identified over a period of 18 months and interprets them to evaluate the research capacity of PEDSnet.

Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the influence of modeling methods on performance drift and connected observed drift with data shifts in the patient population.

To demonstrate a data-driven method for personalizing lung cancer risk prediction using a large clinical dataset.