Publications by authors named "Amy Coenen"

The International Classification for Nursing Practice (ICNP®) and the Clinical Care Classification (CCC) System are standardised nursing terminologies that identify discrete elements of nursing practice, including nursing diagnoses, interventions, and outcomes. While CCC uses a conceptual framework or model with 21 Care Components to classify these elements, ICNP, built on a formal Web Ontology Language (OWL) description logic foundation, uses a logical hierarchical framework that is useful for computing and maintenance of ICNP. Since the logical framework of ICNP may not always align with the needs of nursing practice, an informal framework may be a more useful organisational tool to represent nursing content.

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Although care coordination is a popular intervention, there is no standard method of delivery. Also little is known about who benefits most, or characteristics that predict the amount of care coordination needed, especially with chronically ill older adults. The purpose of this study was to identify types and amount of nurse care coordination interventions provided to 231 chronically ill older adults who participated in a 12-month home care medication management program in the Midwest.

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This poster summarizes a review of existing health observatories and proposes a new entity for nursing. A nursing eHealth observatory would be an authoritative and respected source of eHealth information that would support nursing decision-making and policy development and add to the body of knowledge about professional nursing and client care outcomes.

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In this paper, the authors report on a study aimed at harmonising two nursing terminologies, the Clinical Care Classification (CCC) and the International Classification for Nursing Practice (ICNP®). As the electronic health record evolves and the need for interoperability extends beyond local and national borders, a degree of standardisation across healthcare terminologies become essential. Harmonising across terminologies results in a) increased consensus relating to domain content and b) improvements in the terminologies involved.

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In recent years, Decision Support Systems (DSSs) have been developed and used to achieve "meaningful use". One approach to developing DSSs is to translate clinical guidelines into a computer-interpretable format. However, there is no specific guideline modeling approach to translate nursing guidelines to computer-interpretable guidelines.

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Purpose: The purpose of this study was to determine the degree of overlap between the International Classification for Nursing Practice (ICNP®) and the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT), with a specific focus on nursing problems, as a first step towards harmonization of content between the two terminologies.

Methods: Work within this study was divided across two ICNP subsets. The first subset (n=238) was made up of ICNP diagnosis/outcome concepts that had been included in previous experimental mapping activities with Clinical Care Classification (CCC) and NANDA-International (NANDA-I).

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The quest for a standardized terminology that can meet the varying needs of healthcare practice, and requirements for secondary use, is ongoing. The number of potential users and the number of potential uses for standardized terminologies make collaborative development, rather than the traditional de jure approach, an imperative, and there appears to be significant worldwide interest in this area. In this article we describe an initiative of the International Council of Nurses (ICN), ICNP C-Space (Collaborative Space), which utilized a social media platform to encourage and facilitate global collaborative development of its terminology, the International Classification for Nursing Practice (ICNP(®)).

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Purpose: This study aimed to describe the nursing interventions that nurses in Thailand identify as most important in promoting dignified dying.

Design: This study used a cross-sectional descriptive design.

Method: A total of 247 Thai nurses completed a paper-and-pencil survey written in Thai.

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Introduction:   Nursing models and terminologies can contribute to research the nature of nursing care.

Aim:   The aim of this study was to describe nursing diagnoses in acute- and long-term elderly care.

Methods:   A point prevalence survey was conducted on 240 patients.

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The purpose of this study was to describe sets of nursing concepts including, for example, nursing diagnoses and interventions, which are knowledge-based and clinically relevant to support nursing practice. Health information systems using the International Classification for Nursing Practice (ICNP®) provide a platform for standardized nursing documentation for patients' health care, clinical decision support, and repositories for re-use of clinical data for quality evaluation, research, management decisions and policy development. Clinically relevant sets of ICNP concepts can facilitate implementation of health information systems for nursing.

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Objective: To create an interoperable set of nursing diagnoses for use in the patient problem list in the EHR to support interoperability.

Design: Queries for nursing diagnostic concepts were executed against the UMLS Metathesaurus to retrieve all nursing diagnoses across four nursing terminologies where the concept was also represented in SNOMED CT. A candidate data set was retrieved and included the nursing diagnoses and corresponding SNOMED CT concepts from the UMLS Metathesaurus.

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There are seven nursing terminologies or classifications that are considered a standard to support nursing practice in the U.S. Harmonizing these terminologies will enhance the interoperability of clinical data documented across nursing practice.

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Nursing has a long tradition of classification, stretching back at least 150 years. The introduction of computers into health care towards the end of the 20(th) Century helped to focus efforts, culminating in the development of a range of standardized classifications. Many of these classifications are still in use today and, while content is periodically updated, the underlying classification structures remain relatively static.

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Purpose: This descriptive study aimed to assess the appropriateness of the International Classification for Nursing Practice (ICNP) catalogue Palliative Care for Dignified Dying for palliative care nursing interventions in South Korea.

Methods: The study surveyed 213 South Korean nurses who might regularly care for dying patients. Nurses were recruited to complete a survey that included interventions from the ICNP catalogue listed with Likert response sets.

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One solution for enhancing the interoperability between nursing information systems, given the availability of multiple nursing terminologies, is to cross-map existing nursing concepts. The Unified Medical Language System (UMLS) developed and distributed by the National Library of Medicine (NLM) is a knowledge resource containing cross-mappings of various terminologies in a unified framework. While the knowledge resource has been available for the last two decades, little research on the representation of nursing terminologies in UMLS has been conducted.

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The purpose of this study was to explore how evidence-based practice recommendations for adults with depression were represented in two standardized nursing terminologies. A qualitative concept analysis was used to answer the research question. Concepts were extracted from the recommendations and matched to two standardized nursing terminologies through lexical and semantic concept mapping techniques.

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The WHO Family of International Classifications (FIC) provides a suite of health classifications to promote data exchange and comparisons worldwide. The International Classification of Functioning, Disabilities and Health (ICF) and the International Classification for Nursing Practice (ICNP) are part of WHO-FIC. This study was designed to examine to what extent the ICF and ICNP could be mapped to facilitate unambiguous communication across health settings and professionals.

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The purpose of this study is to evaluate the ability of SNOMED CT to represent concepts of the ICNP Version 1 - the 7-Axis model. We selected the 1568 concepts of the ICNP 7-Axis model. From January 2007 through June 2007, the first author mapped the ICNP Version 1 concepts to the SNOMED CT using CLUE browser 5.

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A number of controlled healthcare terminologies and classification systems have been developed for specific purposes, resulting in variations in content, structure, process management, and quality. A terminology quality improvement (TQI) model or framework would be useful for various stakeholders to guide terminology selection, to assess the quality of healthcare terminologies and to make improvements according to an agreed standard. A TQI model, thus, was formulated based on a review of the literature and existing international standards developed for healthcare terminologies.

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Purpose: For healthcare terminologies to provide coverage of a domain, many have evolved into very large and complex sets, creating a challenge for implementation. The International Classification of Nursing Practice (ICNP) Version 2 has over 2800 concepts. Thus, development of terminology subsets is considered as a potential solution to facilitate implementation.

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To evaluate the ability of SNOMED-CT (Systematized Nomenclature of Medicine Clinical Terms) to represent ICNP (International Classification for Nursing Practice) nursing diagnosis and intervention catalogue concepts. We selected the 194 nursing diagnosis and 139 nursing intervention catalogue statements from ICNP Version 1.0.

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In this paper we describe a project to map natural language expressions of nursing-related concepts to standard ontologies in support of an evidence-based nursing initiative. Natural language concept expressions are identified from syntheses of nursing knowledge and mapped to ICNP and SNOMED-CT.

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Globalization and information and communication technology (ICT) continue to change us and the world we live in. Nursing stands at an opportunity intersection where challenging global health issues, an international workforce shortage, and massive growth of ICT combine to create a very unique space for nursing leadership and nursing intervention. Learning from prior successes in the field can assist nurse leaders in planning and advancing strategies for global health using ICT.

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The purpose of this study was to translate and integrate nursing diagnosis concepts from the Clinical Care Classification (CCC) System Version 2.0 to DiagnosticPhenomenon or nursing diagnostic statements in the International Classification for Nursing Practice (ICNP) Version 1.0.

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