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Capture, coding and communication of newborn screening (NBS) information represent a challenge for public health laboratories, health departments, hospitals, and ambulatory care practices. An increasing number of conditions targeted for screening and the complexity of interpretation contribute to a growing need for integrated information-management strategies. This makes NBS an important test of tools and architecture for electronic health information exchange (HIE) in this convergence of individual patient care and population [...]

Statistics is an essential aspect of biomedical informatics. To examine the use of statistics in informatics research, a literature review of recent articles in two high-impact factor biomedical informatics journals, the Journal of American Medical Informatics Association (JAMIA) and the International Journal of Medical Informatics was conducted. The use of statistical methods in each paper was examined. Articles of original investigations from 2000 to 2007 were reviewed. For each journal [...]

There is an increased level of activity in the biomedical and health informatics world (e-prescribing, electronic health records, personal health records) that, in the near future, will yield a wealth of available data that we can exploit meaningfully to strengthen knowledge building and evidence creation, and ultimately improve clinical and preventive care. The American Medical Informatics Association (AMIA) 2008 Health Policy Conference was convened to focus and propel discussions about [...]

There is wide variability in the use and adoption of recommendations generated by computerized clinical decision support systems (CDSSs) despite the benefits they may bring to clinical practice. We conducted a systematic review to explore the barriers to, and facilitators of, CDSS uptake by physicians to guide prescribing decisions. We identified 58 studies by searching electronic databases (1990-2007). Factors impacting on CDSS use included: the availability of hardware, technical support [...]

In 2007, the Department of Health and Human Services commissioned the Nationwide Health Information Network (NHIN) Trial Implementations project to demonstrate the secure exchange of data among health information exchange organizations around the country. The project's Core Services Content Work Group (CSCWG) developed the content specifications for the project. The CSCWG developed content specifications for a summary patient record and for eight use cases that were implemented in demonstration events [...]

To formulate a model for translating manual infection control surveillance methods to automated, algorithmic approaches.

Medication information is one of the most important types of clinical data in electronic medical records. It is critical for healthcare safety and quality, as well as for clinical research that uses electronic medical record data. However, medication data are often recorded in clinical notes as free-text. As such, they are not accessible to other computerized applications that rely on coded data. We describe a new natural language processing system [...]

BACKGROUND: Implementation of Computerized Provider Order Entry (CPOE) can fail or meet high levels of user resistance for a variety of reasons, including lack of attention to users' needs and the significant workflow changes induced and required by CPOE. End-user satisfaction is a critical factor in IT implementation. OBJECTIVE: The goal of this study was to identify criteria to select a valid and reliable questionnaire to measure end-user satisfaction with [...]

Advances in high-throughput and mass-storage technologies have led to an information explosion in both biology and medicine, presenting novel challenges for analysis and modeling. With regards to multivariate analysis techniques such as clustering, classification, and regression, large datasets present unique and often misunderstood challenges. The authors' goal is to provide a discussion of the salient problems encountered in the analysis of large datasets as they relate to modeling and inference [...]

To predict student performance in an introductory graduate-level biomedical informatics course from application data.