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Online health knowledge resources contain answers to most of the information needs raised by clinicians in the course of care. However, significant barriers limit the use of these resources for decision-making, especially clinicians' lack of time. In this study we assessed the feasibility of automatically generating knowledge summaries for a particular clinical topic composed of relevant sentences extracted from Medline citations.

Point-of-care information needs are common and frequently unmet. One solution to this problem is the use of Infobuttons, which are context-sensitive links from electronic health records (EHR) to knowledge resources, sometimes involving an intermediate broker known as an Infobutton Manager. Health Level Seven (HL7) has developed the Context-Aware Knowledge Retrieval (Infobutton) standard to standardize the integration between EHR systems and knowledge resources. While the standard specifies a set of context [...]

Word sense disambiguation (WSD) methods automatically assign an unambiguous concept to an ambiguous term based on context, and are important to many text-processing tasks. In this study we developed and evaluated a knowledge-based WSD method that uses semantic similarity measures derived from the Unified Medical Language System (UMLS) and evaluated the contribution of WSD to clinical text classification.

Ascertainment of potential subjects has been a longstanding problem in clinical research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects-some methods work well for large cohorts; others work for small cohorts only.

To build an effective co-reference resolution system tailored to the biomedical domain.

The term informatics is currently enveloped in chaos. One way to clarify the meaning of informatics is to identify the competencies associated with training in the field, but this approach can conceal the whole that the competencies atomistically describe. This work takes a different approach by offering three higher-level visions of what characterizes the field, viewing informatics as: (1) cross-training between basic informational sciences and an application domain, (2) the [...]

We present SHARE, a new system for statistical health information release with differential privacy. We present two case studies that evaluate the software on real medical datasets and demonstrate the feasibility and utility of applying the differential privacy framework on biomedical data.

To observe the effect of electronic medical record (EMR) system sophistication on preventive women's healthcare.

In order for computers to extract useful information from unstructured text, a concept normalization system is needed to link relevant concepts in a text to sources that contain further information about the concept. Popular concept normalization tools in the biomedical field are dictionary-based. In this study we investigate the usefulness of natural language processing (NLP) as an adjunct to dictionary-based concept normalization.

To evaluate how clinical chemistry test results were assessed by volunteers when presented with four different visualization techniques.