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This study sought to determine public opinion on alternatives to project-specific consent for use of their personal information for health research.

Few research designs look at the deep structure of complex social systems. We report the design and implementation of a multimethod evaluation model to assess the impact of computerized order entry systems on both the technical and social systems within a health care organization.

The implementation of comprehensive clinical data repositories carries implications for the medical informatics curriculum for pre-MD medical students. There is the risk that electronic health records will detract from students' acquisition of basic skills in inquiry and information management. It is possible, however, to create an application within the data repositories that will provide students with opportunities to practice their skills as they follow the evaluation and management of patients.

Inefficiencies in clinical trial data collection cause delays, increase costs, and may reduce clinician participation in medical research. In this proof-of-concept study, we examine the feasibility of using point-of-care data capture for both the medical record and clinical research in the setting of a working clinical trial. We hypothesized that by doing so, we could increase reuse of patient data, eliminate redundant data entry, and minimize disruption to clinic workflow.

Electronic Knowledge Resources (EKRs) are increasingly used by physicians, but their situational relevance has not been systematically examined.

To specify and identify disease and patient care processes represented by temporal patterns in clinical events and observations, and retrieve patient populations containing those patterns from clinical data repositories, in support of clinical research, outcomes studies, and quality assurance.

In recent years, influenza surveillance data has expanded to include alternative sources such as emergency department data, absenteeism reports, pharmaceutical sales, website access and health advice calls. This study presents a review of alternative data sources for influenza surveillance, summarizes the time advantage or timeliness of each source relative to traditional reporting and discusses the strengths and weaknesses of competing approaches.

Part-of-speech tagging represents an important first step for most medical natural language processing (NLP) systems. The majority of current statistically-based POS taggers are trained using a general English corpus. Consequently, these systems perform poorly on medical text. Annotated medical corpora are difficult to develop because of the time and labor required. We investigated a heuristic-based sample selection method to minimize annotated corpus size for retraining a Maximum Entropy (ME) POS [...]

To test whether individuals experience cognitive biases whilst searching using information retrieval systems. Biases investigated are anchoring, order, exposure and reinforcement.