Software development to support decision making in the selection of
nursing diagnoses and interventions for children and adolescents1

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Abstract

Objective:

to report the development of a software to support decision-making for the selection of nursing diagnoses and interventions for children and adolescents, based on the nomenclature of nursing diagnoses, outcomes and interventions of a university hospital in Paraiba.

Method:

a methodological applied study based on software engineering, as proposed by Pressman, developed in three cycles, namely: flow chart construction, development of the navigation interface, and construction of functional expressions and programming development.

Result:

the software consists of administrative and nursing process screens. The assessment is automatically selected according to age group, the nursing diagnoses are suggested by the system after information is inserted, and can be indicated by the nurse. The interventions for the chosen diagnosis are selected by structuring the care plan.

Conclusion:

the development of this tool used to document the nursing actions will contribute to decision-making and quality of care.

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Most cited references 61

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Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing interventions.

Jan Horsky, Gordon Schiff, Douglas Johnston … (2012)

Developing effective clinical decision support (CDS) systems for the highly complex and dynamic domain of clinical medicine is a serious challenge for designers. Poor usability is one of the core barriers to adoption and a deterrent to its routine use. We reviewed reports describing system implementation efforts and collected best available design conventions, procedures, practices and lessons learned in order to provide developers a short compendium of design goals and recommended principles. This targeted review is focused on CDS related to medication prescribing. Published reports suggest that important principles include consistency of design concepts across networked systems, use of appropriate visual representation of clinical data, use of controlled terminology, presenting advice at the time and place of decision making and matching the most appropriate CDS interventions to clinical goals. Specificity and contextual relevance can be increased by periodic review of trigger rules, analysis of performance logs and maintenance of accurate allergy, problem and medication lists in health records in order to help avoid excessive alerting. Developers need to adopt design practices that include user-centered, iterative design and common standards based on human-computer interaction (HCI) research methods rooted in ethnography and cognitive science. Suggestions outlined in this report may help clarify the goals of optimal CDS design but larger national initiatives are needed for systematic application of human factors in health information technology (HIT) development. Appropriate design strategies are essential for developing meaningful decision support systems that meet the grand challenges of high-quality healthcare. Copyright © 2012 Elsevier Inc. All rights reserved.

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Envisioning a learning health care system: the electronic primary care research network, a case study.

Brendan Delaney, Kevin Peterson, Stuart Speedie … (2015)

The learning health care system refers to the cycle of turning health care data into knowledge, translating that knowledge into practice, and creating new data by means of advanced information technology. The electronic Primary Care Research Network (ePCRN) was a project, funded by the U.S. National Institutes of Health, with the aim to facilitate clinical research using primary care electronic health records (EHRs). We identified the requirements necessary to deliver clinical studies via a distributed electronic network linked to EHRs. After we explored a variety of informatics solutions, we constructed a functional prototype of the software. We then explored the barriers to adoption of the prototype software within U.S. practice-based research networks. We developed a system to assist in the identification of eligible cohorts from EHR data. To preserve privacy, counts and flagging were performed remotely, and no data were transferred out of the EHR. A lack of batch export facilities from EHR systems and ambiguities in the coding of clinical data, such as blood pressure, have so far prevented a full-scale deployment. We created an international consortium and a model for sharing further ePCRN development across a variety of ongoing projects in the United States and Europe. A means of accessing health care data for research is not sufficient in itself to deliver a learning health care system. EHR systems need to use sophisticated tools to capture and preserve rich clinical context in coded data, and business models need to be developed that incentivize all stakeholders from clinicians to vendors to participate in the system.

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Planejamento da assistência de enfermagem: proposta de um software-protótipo

Dircelene Jussara Sperandio, Yolanda Dora Martinez Évora (2005)

O propósito deste estudo foi descrever as etapas de desenvolvimento de um software-protótipo que possibilite aos enfermeiros, no âmbito hospitalar, atender ao planejamento da assistência de enfermagem, prescrição de enfermagem e a documentação de forma informatizada. A metodologia utilizada fundamentou-se no conceito do ciclo de vida de prototipação. Sedimentou-se em duas fases: a de definição e a de desenvolvimento. A fase de definição iniciou-se com a etapa de planejamento, seguida pela definição e análise dos requisitos necessários para a construção e culminou com a produção da especificação de requisitos do software. A fase de desenvolvimento traduziu o conjunto de requisitos em um modelo informatizado, com 10 módulos, referentes ao processo de sistematização da assistência de enfermagem. A avaliação desse recurso inovador para a Sistematização da Assistência de Enfermagem nos diferentes estágios do seu processo será objeto de estudo posterior.

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Author and article information

Journal

Journal ID (nlm-ta): Rev Lat Am Enfermagem

Journal ID (iso-abbrev): Rev Lat Am Enfermagem

Journal ID (publisher-id): rlae

Title: Revista Latino-Americana de Enfermagem

Publisher: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo

ISSN (Print): 0104-1169

ISSN (Electronic): 1518-8345

Publication date (Print and electronic): Sep-Oct 2015

Publication date (Print): Sep-Oct 2015

Volume: 23

Issue: 5

Pages: 927-935

Affiliations

[2 ]PhD, Professor, Centro de Ciências da Saúde, Universidade Federal da Paraíba, João Pessoa, PB, Brazil

[3 ]PhD, Full Professor, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil

[4 ]Master's student, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil

Author notes

Corresponding Author: Kenya de Lima Silva Universidade Federal da Paraíba Departamento de Enfermagem em Saúde Pública e Psiquiatria Cidade Universitária Bairro: Castelo Branco CEP: 58051-900, João Pessoa, PB, Brasil E-mail: kenya.cateq@ 123456gmail.com

Article

DOI: 10.1590/0104-1169.0302.2633

PMC ID: 4660416

PubMed ID: 26487144

SO-VID: 622da825-46e4-40cc-ad50-afe53be8bbff

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License

History

Date received : 15 July 2014

Date accepted : 26 April 2015

Page count

Figures: 15, Tables: 0, Equations: 0, References: 25, Pages: 9

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Software development to support decision making in the selection of nursing diagnoses and interventions for children and adolescents1

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Management Information Systems

Most cited references 61

Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing interventions.

Envisioning a learning health care system: the electronic primary care research network, a case study.

Planejamento da assistência de enfermagem: proposta de um software-protótipo

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