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PubMedDate not supplied

Evidence-based patient choice and consumer health informatics in the Internet age.

In this paper we explore current access to and barriers to health information for consumers. We discuss how computers and other developments in information technology are ushering in the era of consumer health informatics, and the potential that lies ahead. It is clear that we witness a period in which the public will have unprecedented ability to access information and to participate actively in evidence-based health care. We propose that consumer health informatics be regarded as a whole new academic discipline, one that should be devoted to the exploration of the new possibilities that informatics is creating for consumers in relation to health and health care issues.

Access to Information↗
PubMedDate not supplied

Electronic nursing.

Explore the source record for details and available documents.

Communication↗
PubMed2001

Planning for practice.

The national information strategy for the NHS was published three years ago. What progress has been made on turning it into operational reality across the country?

Diffusion of Innovation↗
PubMedDate not supplied

[The design of a personal computerized database].

The development of a personal data base about informatics and nursing for use on a microcomputer is presented. The advantages, effectiveness and problems involved with the construction of personal library, as well as the employed software and the references classification problems are discussed.

Computer Systems↗
PubMed2003

Information literacy: instrument development to measure competencies and knowledge among nursing educators, nursing administrators, and nursing clinicians: a pilot study.

This poster describes a pilot study conducted to establish validity and reliability of an instrument that will be used in a nationwide needs assessment, implemented to identify gaps in Information Literacy skills, competencies, and knowledge among key nursing groups nationally. Data and information gathered using the tool will guide the profession in developing appropriate education and continuing education programs to close identified gaps and enhance nurses' readiness for Evidence-Based Practice (EBP).

Computer Literacy↗
PubMed2003

Where is the nursing in SNOMED CT? CTGFN has the answer!

The SNOMED" micro CTGFN (Convergent Terminology Group for Nursing) is a working group reporting to the SNOMED International Editorial Board. They are charged with ensuring a terminology supportive of nursing's requirement for describing patient care. The strategies utilized for nursing content follow.

Humans↗
PubMed2004

A comparison of semantic categories of the ISO reference terminology models for nursing and the MedLEE natural language processing system.

Natural language processing (NLP) systems have demonstrated utility in parsing narrative texts for purposes such as surveillance and decision support. However, there has been little work related to NLP of nursing narratives. The purpose of this study was to compare the semantic categories of a NLP system (Medical Language Extraction and Encoding [MedLEE] system) with the semantic domains, categories, and attributes of the International Standards Organization(ISO) reference terminology models for nursing diagnoses and nursing actions. All but two MedLEE diagnosis and procedure-related semantic categories mapped to ISO models. In some instances, we found exact correspondence between the semantic structures of MedLEE and the ISO models. In other situations (e.g. aspects of site or location), the ISO model was not as granular as MedLEE. For clinical procedure and non-invasive examination, two ISO nursing action model components (action and target) were required to represent the MedLEE semantic category. The ISO model requires additional specification of selected semantic categories for the abstract semantic domains in order to achieve the objective of using NLP to parse and encode data from nursing narratives. Our analysis also suggests areas for extension of MedLEE.

Natural Language Processing↗