scholarly journals Emotions, Emotional Intelligence and Professional Practice in Caring Professions

2018 ◽  
Vol 3 (1) ◽  
pp. 35-45
Author(s):  
Habibie Bte Hj Ibrahim ◽  
Norhamidah Jarimal ◽  
Nurul Hudani Md Nawi ◽  
Puteri Hayati Megat

This paper based on literature review relates to emotions, emotional intelligence (EI) and their contributions to working relationships and decision-making processes are explored, particularly in social work settings. Little research has been conducted regarding emotion and Emotional Intelligence in the social work context. However, other caring professions such as health and nursing placed great emphasis on the importance of EI in their practice. Illness and healing processes occur within the context of relationships, and relationships are important frameworks for conceptualizing health care. This paper therefore aims to reveal the potential contributions of EI to working relationships with clients and decision-making processes in social work. This paper may provide some useful information for individuals and organizations as to how they can benefit from such contributions in order to develop more effective social work practices.

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Beverlee McIntosh ◽  
Ralph Vander Hoek

Understanding ethical decision-making in the context of “end of life” and other health care situations is examined using a model, which describes the process of decision-making and the influences of resources, knowledge, values, responsibility and the law. Social Work case examples from various health care settings illustrate the process and influences, giving particular attention to end of life issues. Social Work practice challenges, guidelines and suggestions are outlined in the article. The role of the social worker and the influences of the social workers’ own values, knowledge and beliefs, such as the client-centered approach and empowerment, are seen as important components of the process and influences.


Author(s):  
John Chandler ◽  
Elisabeth Berg ◽  
Marion Ellison ◽  
Jim Barry

This chapter discusses the contemporary position of social work in the United Kingdom, and in particular the challenges to what is seen as a managerial-technicist version of social work. The chapter begins with focus on the situation from the 1990s to the present day in which this version of social work takes root and flourishes. The discussion then concentrates on three different routes away from a managerial-technicist social work: the first, reconfiguring professional practice in the direction of evaluation in practice, the second ‘reclaiming social work’ on the Hackney relationship-based model and the third ‘reclaiming social work’ in a more radical, highly politicised way. Special attention is devoted to a discussion about how much autonomy the social workers have in different models, but also what kind of autonomy and for what purpose.


Author(s):  
Rubens Ramón Méndez

Cuando el Trabajo Social comenzó a sistematizarse y a organizarse a partir de Mary Richmond, se proponía como un programa de investigación distinto dentro de las Ciencias Sociales (Lakatos, 1999). Distinto porque toma los planteos teóricos dados en las Ciencias Sociales desde �las circunstancias históricamente determinadas y existencialmente posicionadas; creando nuevas perspectivas sobre esos planteos teóricos� (Méndez, 2006) y porque con su práctica profesional, evalúa y muestra el problema de las consecuencias efectivas y potenciales de la utilización de los conocimientos (Dewey, 1967) en la construcción de las prácticas sociales (discursivas o no discursivas).Presentar la emergencia de un discurso propio de las personas y documentar lo real de las prácticas sociales, mostrar cómo es que a algunos enunciados que no son en sí mismos ni verdaderos ni falsos, se les otorgan el �estatuto de verdad�; es lo que hace que el Trabajo Social deba ser vigilado y desarmado en sus efectos.Si el discurso no es el medio por lo que se establecen las luchas en esta sociedad de discursos; sino que es por el discurso, por lo que se lucha. Si el discurso es �aquel poder del que quiere uno adueñarse� (Foucault, 1983), las Ciencias Sociales no podían dejar al azar el discurso del Trabajo Social.When Social Work became systematized and organized after Mary Richmond, it was described as a different research program within the social sciences (Lakatos, 1999). It was different because it considered the theoretical propositions in the social sciences from �historically determined and existentially positioned circumstances, thereby creating new perspectives on those theoretical propositions� (Méndez, 2006) and because through professional practice Social Work assesses and highlights the problem of the real and potential consequences of the use of knowledge in the construction of social practices (Dewey, 1967), whether discursive or non-discursive.As Social Work presents the emergence of people�s own discourse and documents the reality of social practices while it also presents statements which are neither true nor false as necessary truths, Social Work should be watched and disarmed in its consequences.Discourse is not the means through which fights are established in our discourse society; it is discourse that is fought about. If discourse is �that power we wish to get hold of� (Foucault, 1983), then the social sciences should not ignore the discourse of Social Work.


2011 ◽  
pp. 1759-1769
Author(s):  
Janna Anneke Fitzgerald ◽  
Martin Lum ◽  
Ann Dadich

Human technology in health care includes managerial knowledge required to marshal a health care workforce, operate hospitals and equipment, obtain and administer funds, and, increasingly, identify and establish markets. In this article, the authors focus on human technology and improvement of decision-making processes in the context of operating theatre scheduling of unplanned surgical cases. Unplanned surgery refers to unscheduled and unexpected surgical procedures in distinction to planned, elective surgery. The management of unplanned surgery is a strategic function in hospitals with potential clinical, administrative, economical, social, and political implications. Making health care management decisions is complex due to the multidisciplinary and the multifocussed nature of decision-making processes. The complexity of multidisciplinary and multifocussed decision-making is further exacerbated by perceived professional identity differences. This article presents findings from interviews with doctors and nurses about the scheduling of unplanned surgical cases. The interviews focused on current decision- making determinants, the acceptability of using a model to guide decision-making, and enablers and barriers to implementing the model. The key finding was the limited practicality of a model to guide the scheduling of unplanned surgery. While it could guide decisions around clinical determinants, logistical determinants, and ideal timeframes, it would have difficulty reshaping inter- and intra-professional dynamics.


Computation ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 25 ◽  
Author(s):  
Abhaya Kumar Sahoo ◽  
Chittaranjan Pradhan ◽  
Rabindra Kumar Barik ◽  
Harishchandra Dubey

In today’s digital world healthcare is one core area of the medical domain. A healthcare system is required to analyze a large amount of patient data which helps to derive insights and assist the prediction of diseases. This system should be intelligent in order to predict a health condition by analyzing a patient’s lifestyle, physical health records and social activities. The health recommender system (HRS) is becoming an important platform for healthcare services. In this context, health intelligent systems have become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of the valuable information at the right time by ensuring information quality, trustworthiness, authentication and privacy concerns. As people use social networks to understand their health condition, so the health recommender system is very important to derive outcomes such as recommending diagnoses, health insurance, clinical pathway-based treatment methods and alternative medicines based on the patient’s health profile. Recent research which targets the utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed which reduces the workload and cost in health care. In the healthcare sector, big data analytics using recommender systems have an important role in terms of decision-making processes with respect to a patient’s health. This paper gives a proposed intelligent HRS using Restricted Boltzmann Machine (RBM)-Convolutional Neural Network (CNN) deep learning method, which provides an insight into how big data analytics can be used for the implementation of an effective health recommender engine, and illustrates an opportunity for the health care industry to transition from a traditional scenario to a more personalized paradigm in a tele-health environment. By considering Root Square Mean Error (RSME) and Mean Absolute Error (MAE) values, the proposed deep learning method (RBM-CNN) presents fewer errors compared to other approaches.


2013 ◽  
Vol 46 (1) ◽  
pp. 7-24
Author(s):  
Guy Davidov ◽  
Maayan Davidov

Research on compliance has shown that people can be induced to comply with various requests by using techniques that capitalise on the human tendencies to act consistently and to reciprocate. Thus far this line of research has been applied to interactions between individuals, not to relations between institutions. We argue, however, that similar techniques are applied by courts vis-à-vis the government, the legislature and the public at large, when courts try to secure legitimacy and acceptance of their decisions. We discuss a number of known influence techniques – including ‘foot in the door’, ‘low-balling’, ‘giving a reputation to uphold’ and ‘door in the face’ – and provide examples from Israeli case law of the use of such techniques by courts. This analysis offers new insights that can further the understanding of judicial decision-making processes.


2017 ◽  
Vol 55 (4) ◽  
pp. 390-406 ◽  
Author(s):  
Vicki Park ◽  
Elise St John ◽  
Amanda Datnow ◽  
Bailey Choi

Purpose The purpose of this paper is to examine how data are used in classroom placement routines. The authors explore educators’ assumptions about the purposes of the classroom placement routine, detailing the ostensive (i.e. structure and template) and performative aspects of the routine itself, and the implications of data use for equity and leadership practices. Design/methodology/approach Using a multi-site case study involving in-depth interviews of teacher and school leaders and observations of meetings, the authors examined the role that data played in classroom placement routines in three elementary schools in the USA. Findings Findings show that educators across schools collected similar types of multi-dimensional data; however, analysis and decision-making processes varied based on their assumptions and goals. Assessing student needs holistically and balancing students across classes based on academic diversity, behavioral or socio-emotional needs, gender and teacher workload were consistent patterns. There was a distinct difference between collecting data and actually using it as a basis of decision making. Research limitations/implications These findings highlight the importance of using in-depth observations to understand data use in schools. Educators’ assumptions and philosophies about classroom placement contributed to the pattern of discussion and decisions made throughout the routines. Delving deeper into how data are used in specific routines and organizational contexts can illuminate how data use is socially constructed and enacted for equity. Practical implications Educators who guide school routines have the power to maintain taken-for-granted assumptions about students, or to create counter-narratives. Originality/value This study provides insights into classroom and student placement processes by emphasizing the social and interactional dimensions of data use as they unfold in practice. It also extends empirical knowledge about the purposes, dimensions, and uses of data-driven decision making models.


1981 ◽  
Vol 6 (1) ◽  
pp. 23-35
Author(s):  
William M. Epstein
Keyword(s):  

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