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To ascertain if outpatients with moderate chronic kidney disease (CKD) had their condition documented in their notes in the electronic health record (EHR).

OBJECTIVE To describe a new medication information extraction system-Textractor-developed for the 'i2b2 medication extraction challenge'. The development, functionalities, and official evaluation of the system are detailed.

In the i2b2 Medication Extraction Challenge, medication names together with details of their administration were to be extracted from medical discharge summaries.

Medication information comprises a most valuable source of data in clinical records. This paper describes use of a cascade of machine learners that automatically extract medication information from clinical records.

Electronic health records (EHRs) and EHR-connected patient portals offer patient-provider collaboration tools for visit-based care. During a randomized controlled trial, primary care patients completed pre-visit electronic journals (eJournals) containing EHR-based medication, allergies, and diabetes (study arm 1) or health maintenance, personal history, and family history (study arm 2) topics to share with their provider. Assessment with surveys and usage data showed that among 2027 patients invited to complete an eJournal [...]

Well-trained people are urgently needed to tackle global health challenges through information and communication technologies. In this report, AMAUTA, a joint international collaborative training program between the Universidad Peruana Cayetano Heredia and the University of Washington, which has been training Peruvian health professionals in biomedical and health informatics since 1999, is described. Four short-term courses have been organized in Lima, offering training to more than 200 graduate-level students. Long-term training [...]

To determine whether a factorized version of the complement naïve Bayes (FCNB) classifier can reduce the time spent by experts reviewing journal articles for inclusion in systematic reviews of drug class efficacy for disease treatment.

Advances in healthcare information technology have provided opportunities to present data in new, more effective ways. In this study, we designed a laboratory display that features small, data-dense graphics called sparklines, which have recently been promoted as effective representations of medical data but have not been well studied. The effect of this novel display on physicians' interpretation of data was investigated.

This report provides updated estimates on use of electronic medical records (EMRs) in US home health and hospice (HHH) agencies, describes utilization of EMR functionalities, and presents novel data on telemedicine and point of care documentation (PoCD) in this setting.