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At least 577 records · Page 32Linked to original sources
PubMed2002

Towards a semantic medical Web: HealthCyberMap's tool for building an RDF metadata base of health information resources based on the Qualified Dublin Core Metadata Set.

BACKGROUND: HealthCyberMap (http://healthcybermap.semanticweb.org/) aims at mapping Internet health information resources in novel ways for enhanced retrieval and navigation. This is achieved by collecting appropriate resource metadata in an unambiguous form that preserves semantics. MATERIAL/METHODS: We modelled a qualified Dublin Core (DC) metadata set ontology with extra elements for resource quality and geographical provenance in Prot g -2000. A metadata collection form helps acquiring resource instance data within Prot g . The DC subject field is populated with UMLS terms directly imported from UMLS Knowledge Source Server using UMLS tab, a Prot g -2000 plug-in. The project is saved in RDFS/RDF. RESULTS: The ontology and associated form serve as a free tool for building and maintaining an RDF medical resource metadata base. The UMLS tab enables browsing and searching for concepts that best describe a resource, and importing them to DC subject fields. The resultant metadata base can be used with a search and inference engine, and have textual and/or visual navigation interface(s) applied to it, to ultimately build a medical Semantic Web portal. Different ways of exploiting Prot g -2000 RDF output are discussed. CONCLUSIONS: By making the context and semantics of resources, not merely their raw text and formatting, amenable to computer 'understanding,' we can build a Semantic Web that is more useful to humans than the current Web. This requires proper use of metadata and ontologies. Clinical codes can reliably describe the subjects of medical resources, establish the semantic relationships (as defined by underlying coding scheme) between related resources, and automate their topical categorisation.

Humans↗
PubMed2000

Internet resources for dentistry: government and medical sites for the dental professional.

As society transitions deeper into the Information Age, Information Technology has become a critical tool that supports all facets of the global economy. The Internet, via the World-Wide Web (WWW), has become a major component of business operations for corporate and educational organizational entities. An estimated 10,000 or more health-related websites are providing information for both consumers and healthcare professionals. In addition to private and state-supported institutions being present on the Internet, the federal government has moved rapidly toward disseminating information electronically, with significant utilization of the WWW as the technological vehicle. All branches of the US Government and federal-related agencies are now represented on the Internet in an effort to deliver content to their end users, primarily the public. The intent of this article is to complement the previous publication, "Internet Resources for Dentistry: Utilization of the Internet to Support Professional Growth, Decision Making, and Patient Care," by presenting dental healthcare professionals with information on additional governmental and medical "Internet" sites. In addition, healthcare professionals must arm themselves with more than just access itself, but also the ability to critically judge the quality of information retrieved from the WWW.

Commerce↗
PubMed1999

Internet resources for dentistry: utilization of the Internet to support professional growth, decision making, and patient care.

The use of computers as an information resource in dentistry has grown dramatically over the past ten years. Fueled by the availability of more powerful computers, societal acceptance of computer-based resources, and the development of the Internet, millions of documents now provide a tremendously important repository of information for healthcare providers. Those involved in delivery of dental care need to know how to access and use this information for their professional development and to support clinically related activities. This paper presents issues related to the use of the Internet. It also provides information on the use of search engines to find resources (websites) on the Internet and descriptions of some available resources of interest to those involved in oral healthcare.

Decision Making↗
PubMed2003

Mapping from a clinical data warehouse to the HL7 Reference Information Model.

Large-scale data integration efforts to support clinical and biologic research are greatly facilitated by the adoption of standards for the representation and exchange of data. As part of a larger project to design the necessary architecture for multi-institutional sharing of disparate biomedical data, we explored the potential of the HL7 Reference Information Model (RIM) for representing the data stored in a local academic clinical data warehouse. A necessary first step in information exchange with such a warehouse is the development and utilization of tools for transforming between local data schemas and standards-based conceptual data models. We describe our initial efforts at mapping clinical concepts from a relational data warehouse to the HL7 RIM.

Computer Communication Networks↗
PubMed2004

A first look at HealthCyberMap medical semantic subject search engine.

HealthCyberMap (http://healthcybermap.semanticweb.org) is a Semantic Web project that aims at mapping selected parts of health information resources in cyberspace in novel semantic ways to improve their retrieval and navigation. This paper describes HealthCyberMap semantic subject search engine methodology and early prototype which attempt to overcome the limitations of conventional free text search engines. Explicit concepts in resource metadata map onto a brokering domain ontology (a clinical terminology or classification) allowing a Semantic Web search engine to infer implicit meanings (synonyms and semantic relationships) not directly mentioned in either the resource or its metadata. Similarly, user queries would map to the same ontology allowing the search engine to infer the implicit semantics of user queries and use them to optimise retrieval. Related issues of metadata, clinical terminologies and automatic vs. manual indexing of medical Web resources are also discussed, together with future methodological directions, which include the use of a true terminology server as an intelligent broker between user queries and HealthCyberMap pool of resource metadata. A comparative evaluation of the new engine based on relevance metrics is also proposed.

Humans↗
PubMed2004

Context-sensitive medical information retrieval.

Substantial medical data such as pathology reports, operative reports, discharge summaries, and radiology reports are stored in textual form. Databases containing free-text medical narratives often need to be searched to find relevant information for clinical and research purposes. Terms that appear in these documents tend to appear in different contexts. The con-text of negation, a negative finding, is of special importance, since many of the most frequently described findings are those denied by the patient or subsequently "ruled out." Hence, when searching free-text narratives for patients with a certain medical condition, if negation is not taken into account, many of the retrieved documents will be irrelevant. The purpose of this work is to develop a methodology for automated learning of negative context patterns in medical narratives and test the effect of context identification on the performance of medical information retrieval. The algorithm presented significantly improves the performance of information retrieval done on medical narratives. The precision im-proves from about 60%, when using context-insensitive retrieval, to nearly 100%. The impact on recall is only minor. In addition, context-sensitive queries enable the user to search for terms in ways not otherwise available

Algorithms↗
PubMed2002

Human interaction.

Explore the source record for details and available documents.

Communication↗
PubMed2004

Information management. A new data dawns.

The NHS is trying to find ways to turn masses of data into useful information. Different approaches include measures of cost efficiency growth and mapping health needs. Companies use a variety of sources of data including hospital episode statistics and census and geodemographic data.

Data Collection↗
PubMed2005

Semi-automatic construction of the Chinese-English MeSH using Web-based term translation method.

Due to language barrier, non-English users are unable to retrieve the most updated medical information from the U.S. authoritative medical websites, such as PubMed and MedlinePlus. A few cross-language medical information retrieval (CLMIR) systems have been utilizing MeSH (Medical Subject Heading) with multilingual thesaurus to bridge the gap. Unfortunately, MeSH has yet not been translated into traditional Chinese currently. We proposed a semi-automatic approach to constructing Chinese-English MeSH based on Web-based term translation. The system provides knowledge engineers with candidate terms mining from anchor texts and search-result pages. The result is encouraging. Currently, more than 19,000 Chinese-English MeSH entries have been complied. This thesaurus will be used in Chinese-English CLMIR in the future.

Chi-Square Distribution↗
PubMed2005

A new impact assessment method to evaluate knowledge resources.

RATIONALE: Methods to systematically measure the impact of knowledge resources on health professionals would enhance evaluation of these resources in the real world. OBJECTIVE: To propose a new impact assessment method. BACKGROUND: We demonstrated the feasibility of combining a 4-level scale with Computerized Ecological Momentary Assessment (CEMA) for efficiently measuring the impact of a knowledge resource. METHOD: We critically reviewed the world literature regarding the impact of clinical information-retrieval technology on trainees and doctors, and retained 26 papers for qualitative content analysis. FINDINGS: Of those, 21 use a nominal scale (yes/no), none systematically measures the impact of searches for information outside of a laboratory setting, and none uses an ordinal scale. The literature supports the proposed levels of impact, and suggests a fifth level. CONCLUSION: A new impact assessment method is proposed, which combines a 5-level revised scale and CEMA.

Databases as Topic↗