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To conduct a systematic review and meta-analysis of the impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay (LOS), and mortality in intensive care units (ICUs).

End stage renal disease (ESRD) affects approximately 660,000 persons in the US each year, representing a significant financial burden to the health care system and affected individuals. Telehealth approaches to care offer an important means of reducing costs as well as increasing autonomy for patients. Understanding patient satisfaction with telehealth provides a key towards eventual scalability.

A major focus of health care today is a strong emphasis on improving the health and quality of care for entire patient populations. One common approach utilizes electronic clinical alerts to prompt clinicians when certain interventions are due for individual patients being seen. However, these alerts have not been consistently effective, particularly for less visible (though important) conditions such as hearing loss (HL) screening.

The study objective was to evaluate the accuracy, validity, and clinical usefulness of medication error alerts generated by an alerting system using outlier detection screening.

To systematically review studies reporting problems with information technology (IT) in health care and their effects on care delivery and patient outcomes.

To pilot benchmark measures of health information and communication technology (ICT) availability and use to facilitate cross-country learning.

Electronic trigger detection tools hold promise to reduce Adverse drug event (ADEs) through efficiencies of scale and real-time reporting. We hypothesized that such a tool could automatically detect medication dosing errors as well as manage and evaluate dosing rule modifications.

Government agencies are rapidly developing web portals to proactively publish "open" data that are searchable, available in nonproprietary formats, and with unlimited use and distribution rights. In this dynamic environment, we aimed to understand the experiences of 2 early leaders in open health data, the US Department of Health and Human Services and the New York State Department of Health.