Michael Hogarth

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Data annotations are an important kind of meta-data that occur in the form of externally assigned descriptions of particular features in Web accessible documents. Such metadata are eventually used in data retrieval tasks on heterogeneous, possible distributed Web-accessible documents. In this paper, we present the model and realization of an annotation(More)
Clinically useful controlled vocabularies should represent healthcare concepts completely and with high reliability. Anticipating and pre-coordinating all possible expressions (e.g. 'fracture of the left femur' and 'fracture of the right femur') is not feasible. Variation in practice styles, requirements for the granularity of content, the exponential(More)
Research in data sanitization (including anonymization) emphasizes ways to prevent an adversary from desanitizing data. Most work focuses on using mathematical mappings to sanitize data. A few papers examine incorporation of privacy requirements, either in the guise of templates or prioritization. Essentially these approaches reduce the information that can(More)
Designers of medical computing applications increasingly require terminology support for their systems. Yet, terminology systems today lack standard methodologies for providing terminology support. This invariably means increased implementation time and expense for system developers who need to use terminologies in their applications. We introduce(More)
This article describes the patient-centered Scalable National Network for Effectiveness Research (pSCANNER), which is part of the recently formed PCORnet, a national network composed of learning healthcare systems and patient-powered research networks funded by the Patient Centered Outcomes Research Institute (PCORI). It is designed to be a(More)
An approach and software tools are described for identifying and extracting compound terms (CTs), acronyms and their associated contexts from textual material that is associated with neuroanatomical atlases. A set of simple syntactic rules were appended to the output of a commercially available part of speech (POS) tagger (Qtag v 3.01) that extracts CTs and(More)
The US health care system and its information access models are organized around institutions and providers. Patient-centered functionality is rarely present in prevailing information systems and, if present, it typically does not ideally support shared decision making about important treatment events. We sought to better understand the functional needs of(More)
BACKGROUND Less than 5% of breast cancer patients participate in clinical trials. To increase patients' awareness and access to trials, we created BreastCancerTrials.org, a clinical trial matching website. BreastCancerTrials.org matched patients to trials based on their self-reported breast cancer history. It also provided a messaging platform through which(More)