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To classify automatically lung tumor-node-metastases (TNM) cancer stages from free-text pathology reports using symbolic rule-based classification.

Advances in healthcare information technology have provided opportunities to present data in new, more effective ways. In this study, we designed a laboratory display that features small, data-dense graphics called sparklines, which have recently been promoted as effective representations of medical data but have not been well studied. The effect of this novel display on physicians' interpretation of data was investigated.

Immunosuppressive therapy following transplantation, if not managed well, can lead to increased drug toxicity or rejection episodes. We investigated whether use of an automated clinical management system in our liver transplant program would improve clinical outcomes in managing transplant recipients' immunosuppressive medications.

Colorectal cancer (CRC) screening rates are low despite confirmed benefits. The authors investigated the use of natural language processing (NLP) to identify previous colonoscopy screening in electronic records from a random sample of 200 patients at least 50 years old. The authors developed algorithms to recognize temporal expressions and 'status indicators', such as 'patient refused', or 'test scheduled'. The new methods were added to the existing KnowledgeMap concept identifier system [...]

Institutions, providers, and informaticians now encourage healthcare consumers to take greater control of their own healthcare needs through improved health and wellness activities, internet-based education and support groups, and personal health records. The author believes that "untethering" all of these activities from provider-based record systems has introduced a form of unhealthy consumer populism. Conversely, integrating these activities in a coordinated manner can sustain both consumer empowerment and consumer well-being.

The authors developed a computerized algorithm that estimates 'who transmits to whom'--that is, the likeliest transmission paths during an outbreak of person-to-person transmitted illness. This algorithm uses basic information about natural history of the disease, population structure, and chronology of observed symptoms. To assess the algorithm efficacy, the authors built a simulator with parameters describing the disease and the population to simulate random outbreaks of influenza. The algorithm's performance was [...]

Family history information has emerged as an increasingly important tool for clinical care and research. While recent standards provide for structured entry of family history, many clinicians record family history data in text. The authors sought to characterize family history information within clinical documents to assess the adequacy of existing models and create a more comprehensive model for its representation. Models were evaluated on 100 documents containing 238 sentences and [...]

To identify factors in the nursing work domain that contribute to the problem of inpatient falls, aside from patient risk, using cognitive work analysis.

Under the provisions of the Health Information Technology for Economic & Clinical Health act providers need to demonstrate their 'meaningful use' of electronic health record systems' health information exchange (HIE) capability. HIE usage is not a simple construct, but the choice of its measurement must attend to the users, context, and objectives of the system being examined. This review examined how usage is reported in the existing literature and also [...]

The logical observation identifiers names and codes (LOINC) database contains 55 000 terms consisting of more atomic components called parts. LOINC carries more than 18 000 distinct parts. It is necessary to have definitions/descriptions for each of these parts to assist users in mapping local laboratory codes to LOINC. It is believed that much of this information can be obtained from the internet; the first effort was with Wikipedia. This [...]