Search AMIA.org

A gap exists between the information contained in published clinical practice guidelines and the knowledge and information that are necessary to implement them. This work describes a process to systematize and make explicit the translation of document-based knowledge into workflow-integrated clinical decision support systems.

This report describes XDesc (eXperiment Description), a pilot project that serves as a case study exploring the degree to which an informatics capability developed in a clinical application can be ported for use in the biosciences. In particular, XDesc uses the Entity-Attribute-Value database implementation (including a great deal of metadata-based functionality) developed in TrialDB, a clinical research database, for use in describing the samples used in microarray experiments stored in [...]

This report describes an innovative training program designed to foster entrepreneurship and professionalism in students interested in the field of medical informatics. The course was developed through a private-public interinstitutional collaboration involving four academic institutions, one private firm specializing in health care information management systems, and a philanthropic organization. The program challenged students to serve in multiple roles on multidisciplinary teams and develop an innovative hand-held solution for drug information [...]

The aim of this study was to determine whether an automated e-mail messaging system that sent individually timed educational messages (ITEMs) increased the effectiveness of an Internet smoking cessation intervention.

To describe resources clinicians use when they prescribe antimicrobials, the authors surveyed prescribers by telephone within hours (median 2.9) after they ordered one or more antimicrobials for a patient. Among 157 prescribers, 87 (55%) used one or more external resources to aid in decisions about their order. The other 70 (45%) used only their own knowledge and experience. Fifty-nine (38%) consulted another person. Fifty-four (34%) used a print, computer, or [...]

This study quantified the ease of use for patients and providers of a microcomputer-based, computer-assisted interview (CAI) system for the serial collection of the American College of Rheumatology Patient Assessment (ACRPA) questionnaire in routine outpatient clinical care in an urban rheumatology clinic.

The aim of this study was to investigate relations among different aspects in supervised word sense disambiguation (WSD; supervised machine learning for disambiguating the sense of a term in a context) and compare supervised WSD in the biomedical domain with that in the general English domain.

There is an abundance of health-related information online, and millions of consumers search for such information. Spell checking is of crucial importance in returning pertinent results, so the authors propose a technique for increasing the effectiveness of spell-checking tools used for health-related information retrieval.