English and Spanish oral cancer information on the internet: a pilot surface quality and content evaluation of oral cancer web sites.

OBJECTIVE: Oral and pharyngeal cancers are responsible for over 7600 deaths each year in the United States. Given the significance of the disease and the fact that many individuals increasingly rely on health information on the Internet, it is important that patients and others can access clear and accurate oral cancer information on the Web. The objective of this study was threefold: (a) develop an initial method to evaluate surface and content quality of selected English- and Spanish-language oral cancer Web sites; (b) conduct a pilot evaluation; and (c) discuss implications of our findings for dental public health. METHODS: We developed a search strategy to find oral cancer sites frequented by the public using Medline Plus, Google, and Yahoo in English and Spanish. We adapted the Information Quality Tool (IQT) to perform a surface evaluation and developed a novel tool to evaluate site content for 24 sites each in English and Spanish. RESULTS: English-language sites had an average IQT score of 76.6 (out of 100) and an average content score of 52.1 (out of 100). Spanish-language sites had an average IQT score of 50.3 and an average content score of 25.6. CONCLUSIONS: The study produced a quality assessment of oral cancer Web sites useful for clinicians and patients. Sites provided more information on clinical presentation, and etiology, and risk factors, than other aspects of oral cancer. The surface and quality of Spanish-language sites was low, possibly putting Hispanic populations at a disadvantage regarding oral cancer information on the Web.

Methodology to develop and evaluate a semantic representation for NLP.

Natural language processing applications that extract information from text rely on semantic representations. The objective of this paper is to describe a methodology for creating a semantic representation for information that will be automatically extracted from textual clinical records. We illustrate two of the four steps of the methodology in this paper using the case study of encoding information from dictated dental exams: (1) develop an initial representation from a set of training documents and (2) iteratively evaluate and evolve the representation while developing annotation guidelines. Our approach for developing and evaluating a semantic representation is based on standard principles and approaches that are not dependent on any particular domain or type of semantic representation.

A preliminary comparison of speech recognition functionality in dental practice management systems.

In this study, we examined speech recognition functionality in four leading dental practice management systems. Twenty dental students used voice to chart a simulated patient with 18 findings in each system. Results show it can take over a minute to chart one finding and that users frequently have to repeat commands. Limited functionality, poor usability and a high error rate appear to retard adoption of speech recognition in dentistry.