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To evaluate the use of a computer program to identify adverse drug events (ADEs) in the ambulatory setting and to evaluate the relative contribution of four computer search methods for identifying ADEs, including diagnosis codes, allergy rules, computer event monitoring rules, and text searching.

More than 30 years of experience in developing a computer-based patient record system, The Medical Record (TMR), in multiple settings, in multiple specialty groups, and at multiple sites has taught us many lessons. Lessons related to computer-based patient records include the importance of a data model in which input, storage, and planned use are independent; separation of patient-specific data from metadata; a modular design to localize the program code that [...]

The contention of the author is that an informatics infrastructure is essential for evidenced-based practice. Five building blocks of an informatics infrastructure for evidence-based practice are proposed: 1) standardized terminologies and structures, 2) digital sources of evidence, 3) standards that facilitate health care data exchange among heterogeneous systems, 4) informatics processes that support the acquisition and application of evidence to a specific clinical situation, and 5) informatics competencies. Selected examples [...]

The authors compare alternative methods of cost estimation for a patient multimedia education (PME) program, using a computerized weight-reduction PME project as an example. Data from the project planning and budgeting process and actual costs of the completed project are analyzed retrospectively to calculate three different estimates-pre-work, post-work, and actual work. Three traditional methods of estimating the cost of computer programs (the lines-of-code, function point, and task ratio analyses) underestimate [...]

The development of tailor-made domain-specific modeling languages is sometimes desirable in medical informatics. Naturally, the development of such languages should be guided. The purpose of this article is to introduce a set of requirements for such languages and show their application in analyzing and comparing existing modeling languages.

To analyze whether computer-generated reminders about infections could influence clinicians' practice patterns and consequently improve the detection and management of nosocomial infections.

To explore the feasibility of using the National Library of Medicine's Unified Medical Language System (UMLS) Metathesaurus as the basis for a computational strategy to identify concepts in medical narrative text preparatory to indexing. To quantitatively evaluate this strategy in terms of true positives, false positives (spuriously identified concepts) and false negatives (concepts missed by the identification process).

The paper provides an overview of neuroinformatics research at Yale University being performed as part of the national Human Brain Project. This research is exploring the integration of multidisciplinary sensory data, using the olfactory system as a model domain. The neuroinformatics activities fall into three main areas: 1) building databases and related tools that support experimental olfactory research at Yale and can also serve as resources for the field as [...]

Consenting visitors to a health survey Web site were randomly assigned to a "matrix" presentation or an "expanded" presentation of survey response options. Among 4,208 visitors to the site over 3 months, 1,615 (38 percent) participated by giving consent and completing the survey. During a pre-trial period, when consent was not required, 914 of 1,667 visitors (55 percent) participated (odds ratio 1.9, P<0.0001). Mean response times were 5.07 minutes for the matrix format and 5.22 minutes for the expanded format (P=0.16). Neither health status scores nor alpha reliability coefficients were substantially influenced by the survey format, but health status scores varied with age and gender as expected from U.S. population norms. In conclusion, presenting response options in a matrix format may not substantially speed survey completion. This study demonstrates a method for rapidly evaluating interface design alternatives using anonymous Web volunteers who have provided informed consent.