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This study evaluated an existing SNOMED-CT model for structured recording of heart murmur findings and compared it to a concept-dependent attributes model using content from SNOMED-CT.

Measure the adoption and utilization of, opinions about, and attitudes toward clinical computing among general dentists in the United States.

Providing quality health care requires access to continuous patient data that developing countries often lack. A panel of medical informatics specialists, clinical human immunodeficiency virus (HIV) specialists, and program managers suggests a minimum data set for supporting the management and monitoring of patients with HIV and their care programs in developing countries. The proposed minimum data set consists of data for registration and scheduling, monitoring and improving practice management, and [...]

In the context of an inpatient care provider order entry (CPOE) system, to evaluate the impact of a decision support tool on integration of cardiology "best of care" order sets into clinicians' admission workflow, and on quality measures for the management of acute myocardial infarction (AMI) patients.

To develop and evaluate the acceptability and use of an integrated electronic prescribing and drug management system (MOXXI) for primary care physicians.

The beginning of the 21st century has seen a surge in interest and enthusiasm for health care information technology based on its ability to demonstrate improvements in the quality, safety, and cost-efficiency of health care. One question, however, for which we have fewer answers is "who will be the individuals that develop, implement, and evaluate these systems?" In particular, while most attention has been paid to the exemplar leaders in [...]

To determine whether automated classification of document citations can be useful in reducing the time spent by experts reviewing journal articles for inclusion in updating systematic reviews of drug class efficacy for treatment of disease.

To maximize effectiveness, clinical decision-support systems must have access to accurate diagnostic and prescribing information. We measured the accuracy of electronic claims diagnoses and electronic antibiotic prescribing for acute respiratory infections (ARIs) and urinary tract infections (UTIs) in primary care.

Infobuttons are message-based content search and retrieval functions embedded within other applications that dynamically return information relevant to the clinical task at hand. The objective of this study was to determine whether infobuttons effectively answer providers' questions about medications or affect patient care decisions.