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

2015 ◽  
Vol 23 (5) ◽  
pp. 927-935 ◽  
Author(s):  
Kenya de Lima Silva ◽  
Yolanda Dora Martinez Évora ◽  
Camila Santana Justo Cintra

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.

2021 ◽  
pp. 1-20
Author(s):  
John Garry ◽  
James Pow ◽  
John Coakley ◽  
David Farrell ◽  
Brendan O'Leary ◽  
...  

Abstract How much public and elite support is there for the use of a citizens’ assembly – a random selection of citizens brought together to consider a policy issue – to tackle major, deadlock-inducing disagreements in deeply divided places with consociational political institutions? We focus on Northern Ireland and use evidence from a cross-sectional attitude survey, a survey-based experiment and elite interviews. We find that the general public support decision-making by a citizens’ assembly, even when the decision reached is one they personally disagree with. However, support is lower among those with strong ideological views. We also find that elected politicians oppose delegating decision-making power to an ‘undemocratic’ citizens’ assembly, but are more supportive of recommendation-making power. These findings highlight the potential for post-conflict consociations to be amended, with the consent of the parties, to include citizens’ assemblies that make recommendations but not binding policy.


2020 ◽  
Vol 1 (2) ◽  
pp. 142
Author(s):  
Dasarius Gulo

In the process of selecting Indonesian Workers (TKI) based on quality at PT. Adila Prezkifarindo Duta is classified as still manual, where there is not yet a system for selecting quality migrant workers so it requires a long time for its assessment and the selection process is less effective. To support decision making in the selection of qualified Indonesian Workers (TKI) to make it easier by using a decision support system. One method used in the selection of qualified Indonesian Workers is the Profile Matching method. The profile matching method is a decision-making mechanism by assuming that there is an ideal level of predictor variables that must be met by applicants, rather than the minimum level that must be met or passed. In the profile matching process a process will be compared between individual competencies into standard competencies so that different competencies can be identified (also called Gap). The smaller the gap produced, the greater the weight value. In matching this profile, the selected TKI candidates are Indonesian Workers who are closest to the ideal profile of a qualified TKI.


2021 ◽  
Author(s):  
Akash Gajanan Prabhune ◽  
Aishwarya Mallavaram ◽  
Sachin Bhat ◽  
Samridhi Pandey ◽  
Ayesha Mehar Shagufta ◽  
...  

Abstract Background: The objective of this paper was to evaluate the COVID-19 vaccine registration website across UN-recognized member states for their portal quality, reliability, Ease Use and help to the general population in informed decision making.Methods: 12 UN member states (Countries) were selected based on the inclusion and exclusion criteria mentioned in the methodology section of this paper. PPS technique was used for sampling and selection of 12 countries from 193 UN member states. Post selection of UN member states the study used 2 step evaluation techniques, Step 1 The DISCERN checklist consists of 16 questions in three sections and is aimed to assess the reliability of information and quality of information; Step 2 The QUEST tool consists of 6 items with a subitem, Authorship, Attribution, Conflict of Interest, Complementarity, Currency, Tone. The authors developed a standard set of instructions for evaluating Vaccination Portals to bring uniformity in understanding and context setting.Results: DISCERN tool overall reliability score on the Likert scale of 0 to 5 was 4 (SD ± 1.28). On Quality of information regarding treatment choices, the average score was 3.4 (SD ± 1.67). The QUEST tool on ease of use, concision, and comprehensiveness demonstrated an average score of 18.1 (SD ± 8.3) out of 28.The vaccine registration portal of the Czech Republic was found to be most informative and was able to provide a piece of scientifically valid information on safety, efficacy, long-term short effects, choice of vaccine with attributable authors details. India, Bangladesh, Nigeria, South Africa scored relatively low to missing critical information on the website. The United Arab Emirates, Republic of South Korea, Indonesia, Australia, and Argentina had minor elements missing.Conclusions: COVID-19 vaccination portals vary in the quality of information and many were found unable to provide critical information for decision making on getting vaccinated


2021 ◽  
Vol 21 (83) ◽  
Author(s):  
Gabriela Marchiori do Carmo Azzolin

Objetivo: descrever a atuação do enfermeiro auditor na qualidade da assistência a saúde. Método: trata-se de uma revisão integrativa de artigos publicados no período de 2015 a 2020. A pesquisa e seleção dos artigos foi realizada nas bases de dados: BEDENF, LILACS e MEDLINE, por meio dos descritores “Enfermagem”, “Auditoria de enfermagem” , “Registros de enfermagem” e “ Qualidade da assistência à saúde”. Os critérios de inclusão foram artigos online gratuitos, com textos completos, publicados de 2015 a 2020, nos idiomas português e inglês. Resultados: foram selecionados 11 artigos, por cumprirem os critérios estabelecidos no estudo. Na análise dos resultados foi possível evidenciar a importância significativa da qualidade dos registros no processo de enfermagem. Conclusão: a atuação da enfermagem na auditoria tem ganhado notoriedade nos últimos anos, por ser de grande relevância para a qualidade da assistência prestada e abranger muito mais que a gestão de custos.Palavras-chave: Enfermagem; Auditoria de enfermagem; Registros de enfermagem; Qualidade da assistência à saúde. The auditor's nurse's performance in the quality of health care: integrative bibliographic review ABSTRACTObjective: to describe the role of the nurse auditor in the quality of health care. Method: this is an integrative review of articles published from 2015 to 2020. The research and selection of articles was carried out in the databases: BEDENF, LILACS and MEDLINE, using the descriptors “Nursing”, “Nursing audit "," Nursing records "and" Quality of health care ". The inclusion criteria were free online articles, with full texts, published from 2015 to 2020, in Portuguese and English. Result: 11 articles were selected, as they meet the criteria established in the study. In the analysis of the results, it was possible to highlight the significant importance of the quality of the records in the nursing process. Conclusio: the role of nursing in the audit has gained notoriety in recent years, as it is of great relevance to the quality of care provided and covers much more than cost management.Keywords: Nursing; Nursing audit; Nursing records; Quality of health care.


2020 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.


Author(s):  
Alvaro Cavalcanti ◽  
Arthur Teixeira ◽  
Karen Pontes

This study aims to evaluate the level of technical efficiency of companies that perform the integrated management of basic sanitation in Brazilian municipalities. A Multiple Data Envelopment Analysis (M-DEA) model was applied to estimate the performance of water supply and sewage services in 1628 municipalities covering more than 56% of the Brazilian population, identifying the factors that most influence the efficiency of the sector in the years 2008 and 2016. The M-DEA methodology is an extension of Data Envelopment Analysis (DEA) with multiple DEA executions considering all combinations of inputs and outputs to calculate efficiency scores. The methodology reduces possible biases in the selection of resources and products of the model, ability to support decision-making in favor of improvements in the sector′s efficiency based on national regulatory framework. The analyses show that the companies analyzed can increase their operating results and attendance coverage by more than 60%, given the current levels of infrastructure, human and financial resources in the sector. Based on the simulation of potential efficiency gains in Brazilian basic sanitation companies, the estimates show that the coverage of the population with access to sanitary sewage would go from the current 59.9% to 76.5%. The evidence found provides indications to subsidize sanitation management in the country at the micro-analytical level, enabling a better competitive position in the sector for the integrated management of basic sanitation and its universalization in Brazil.


Safety ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 69
Author(s):  
Burggraaf ◽  
Groeneweg ◽  
Sillem ◽  
van Gelder

The field of safety and incident prevention is becoming more and more data based. Data can help support decision making for a more productive and safer work environment, but only if the data can be, is and should be trusted. Especially with the advance of more data collection of varying quality, checking and judging the data is an increasingly complex task. Within such tasks, cognitive biases are likely to occur, causing analysists to overestimate the quality of the data and safety experts to base their decisions on data of insufficient quality. Cognitive biases describe generic error tendencies of persons, that arise because people tend to automatically rely on their fast information processing and decision making, rather than their slow, more effortful system. This article describes five biases that were identified in the verification of a safety indicator related to train driving. Suggestions are also given on how to formalize the verification process. If decision makers want correct conclusions, safety experts need good quality data. To make sure insufficient quality data is not used for decision making, a solid verification process needs to be put in place that matches the strengths and limits of human cognition.


Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Ruxue Ren ◽  
Chunguang Bai ◽  
Edmundas Kazimieras Zavadskas ◽  
...  

Medicine is the main means to reduce cancer mortality. However, some medicines face various risks during transportation and storage due to the particularity of medicines, which must be kept at a low temperature to ensure their quality. In this regard, it is of great significance to evaluate and select drug cold chain logistics suppliers from different perspectives to ensure the quality of medicines and reduce the risks of transportation and storage. To solve such a multiple criteria decision-making (MCDM) problem, this paper proposes an integrated model based on the combination of the SWARA (stepwise weight assessment ratio analysis) and CoCoSo (combined compromise solution) methods under the probabilistic linguistic environment. An adjustment coefficient is introduced to the SWARA method to derive criteria weights, and an improved CoCoSo method is proposed to determine the ranking of alternatives. The two methods are extended to the probabilistic linguistic environment to enhance the applicability of the two methods. A case study on the selection of drug cold chain logistics suppliers is presented to demonstrate the applicability of the proposed integrated MCDM model. The advantages of the proposed methods are highlighted through comparative analyses.


2019 ◽  
Vol 8 (2) ◽  
pp. 121-129
Author(s):  
Febri Hadi ◽  
Dodi Guswandi

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.


Author(s):  
Agus Salim ◽  
Baginda Oloan Lubis

Rice is one of the staple foods of society in general, the need for rice supply is increasing every year. The increasing population in the Jababeka area is a threat to staple food supplies. To determine the selection of Rice Brands, it takes rice criteria in order to determine the best quality of rice, and increase sales. So that it can meet consumer needs for rice. In the selection of rice brands at CV Beras Alami  uses a voting system, this is clearly less valid in its election because it is subjective. Analytical Hierarchy Process (AHP) method is used as a method for decision making, as a solution in selecting rice brands in CV Beras Alami. The Expert Choice application is used as a support system to facilitate the selection of rice brands that are in demand by consumers. The results can be known during the 2018 period that rice is widely consumed is Garuda Utama.


Sign in / Sign up

Export Citation Format

Share Document