Influences that drive clinical decision-making among rheumatology nurses. Part 1: literature review

2006 ◽  
Vol 4 (3) ◽  
pp. 130-139 ◽  
Author(s):  
Domini Jayne Bryer
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Clinical Decision Making ◽  
Clinical Decision

scholarly journals Patient attrition in Molecular Tumour Boards: A Review

2021 ◽  
Author(s):  
Hannah Frost ◽  
Donna M. Graham ◽  
Louise Carter ◽  
Paul O’Regan ◽  
Donal Landers ◽  
...  
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Precision Medicine ◽  
Clinical Decision Making ◽  
New Technologies ◽  
Clinical Decision ◽  
Clinical Deterioration ◽  
Treatment Data ◽  
Patient Attrition ◽  
Receive Treatment

AbstractMolecular Tumour Boards (MTBs) were created with the purpose of supporting clinical decision making within precision medicine. Though these meetings are in use globally reporting often focuses on the small percentages of patients that receive treatment via this process and are less likely to report on, and assess, patients who do not receive treatment. A literature review was performed to understand patient attrition within MTBs and barriers to patients receiving treatment. A total of 56 papers were reviewed spanning a 6 year period from 11 different countries. 20% of patients received treatment through the MTB process. Of those that did not receive treatment the main reasons were no mutations identified (26%), no actionable mutations (22%) and clinical deterioration (15%). However, the data was often incomplete due to inconsistent reporting of MTBs with only 54% reporting on patients having no mutations, 48% reporting on presence of actionable mutations and 57% reporting on clinical deterioration. Patient attrition in MTBs is an issue which is very rarely alluded to in reporting, more transparent reporting is needed to understand barriers to treatment and integration of new technologies is required to process increasing omic and treatment data.

scholarly journals Resurgence of Polymyxin B for MDR/XDR Gram-Negative Infections: An Overview of Current Evidence

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Suneel Kumar Garg ◽  
Omender Singh ◽  
Deven Juneja ◽  
Niraj Tyagi ◽  
Amandeep Singh Khurana ◽  
...  
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Polymyxin B ◽  
Multidrug Resistant ◽  
Current Evidence ◽  
Drug Resistant ◽  
Gram Negative

Polymyxin B has resurged in recent years as a last resort therapy for Gram-negative multidrug-resistant (MDR) and extremely drug resistant (XDR) infections. Understanding newer evidence on polymyxin B is necessary to guide clinical decision making. Here, we present a literature review of polymyxin B in Gram-negative infections with update on its pharmacology.

Clinical decision making involved in secluding and restraining an adult psychiatric patient: an integrative literature review

2012 ◽  
Vol 20 (9) ◽  
pp. 830-839 ◽  
Author(s):  
T. Laiho ◽  
E. Kattainen ◽  
P. Åstedt-Kurki ◽  
H. Putkonen ◽  
N. Lindberg ◽  
...  
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Psychiatric Patient ◽  
Clinical Decision Making ◽  
Clinical Decision

scholarly journals The role of nurses and patients' involvement in the clinical decision-making process

2009 ◽  
Vol 17 (6) ◽  
pp. 1065-1070 ◽  
Author(s):  
Diana Catarina Ferreira de Campos ◽  
João Manuel Garcia do Nascimento Graveto
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Literature Review ◽  
Clinical Decision Making ◽  
Recent Literature ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Shared Decision ◽  
Healthcare Improvement

This paper is a literature review based on articles in the nursing field about shared clinical decision. The objectives are to examine the role of nurses and patients in the decision-making process in the context of clinical practice. To support these themes, a review of recent literature was conducted with the following results: patients prefer shared decision-making with professionals who should support and provide information to patients in order to overcome the barriers hampering patients' involvement in decision-making. There is a clear need for more research studies that address the problems in the clinical decision-making process so as to contribute to healthcare improvement.

scholarly journals The role of emotion in clinical decision making: an integrative literature review

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Desirée Kozlowski ◽  
Marie Hutchinson ◽  
John Hurley ◽  
Joanne Rowley ◽  
Joanna Sutherland
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Clinical Decision Making ◽  
Clinical Decision

scholarly journals A LITERATURE REVIEW IN TRIAGE DECISION MAKING: SUPPORTING NOVICE NURSES IN DEVELOPING THEIR EXPERTISE

2018 ◽  
Author(s):  
Kurnia Putri Yuliandari
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Learning Strategies ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Limited Information ◽  
Triage Decision ◽  
Theoretical Approaches ◽  
Novice Nurses ◽  
Decision Making Processes

Emergency nurses often find themselves doing triage under time pressure and with only limited information, while the accuracy and rapidity of triage assessment may well determine a patient’s safety. A question may emerge as to whether novice nurses, who may have lack of experience and knowledge, could deal with such a demanding practice. Equipping novice nurses with important aspects in triage decision-making processes is pivotal. The aim of this literature review is to identify potential elements that could be utilised as supports for novice nurses in developing their expertise of making decision in triage. This study employed CINAHL, ScienceDirect, and PsycINFO to find relevant articles, using search terms “triage”, “decision-making”, “clinical decision-making”, combined with “expert”, and “novice”. The publication dates of those articles ranged from 1990 to 2015. 1487 articles was found and sorted based on inclusion and exclusion criteria, resulting in seventeen articles that had been used in this study. Literature review suggests four important elements for developing novices’ expertise in triage decision making: understanding the difference of novices’ and experts’ performance, critical analysis on theoretical approaches of clinical decision-making processes, defining factors that may influence nurses’ triage decision making, understanding errors that might be made by novices, and using appropriate learning strategies.

scholarly journals Machine learning to guide clinical decision-making in abdominal surgery—a systematic literature review

2021 ◽  
Author(s):  
Jonas Henn ◽  
Andreas Buness ◽  
Matthias Schmid ◽  
Jörg C. Kalff ◽  
Hanno Matthaei
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Literature Review ◽  
Abdominal Surgery ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Number Of Patients ◽  
Pubmed Database ◽  
Computer Scientists ◽  
Number Of Publications

Abstract Purpose An indication for surgical therapy includes balancing benefits against risk, which remains a key task in all surgical disciplines. Decisions are oftentimes based on clinical experience while guidelines lack evidence-based background. Various medical fields capitalized the application of machine learning (ML), and preliminary research suggests promising implications in surgeons’ workflow. Hence, we evaluated ML’s contemporary and possible future role in clinical decision-making (CDM) focusing on abdominal surgery. Methods Using the PICO framework, relevant keywords and research questions were identified. Following the PRISMA guidelines, a systemic search strategy in the PubMed database was conducted. Results were filtered by distinct criteria and selected articles were manually full text reviewed. Results Literature review revealed 4,396 articles, of which 47 matched the search criteria. The mean number of patients included was 55,843. A total of eight distinct ML techniques were evaluated whereas AUROC was applied by most authors for comparing ML predictions vs. conventional CDM routines. Most authors (N = 30/47, 63.8%) stated ML’s superiority in the prediction of benefits and risks of surgery. The identification of highly relevant parameters to be integrated into algorithms allowing a more precise prognosis was emphasized as the main advantage of ML in CDM. Conclusions A potential value of ML for surgical decision-making was demonstrated in several scientific articles. However, the low number of publications with only few collaborative studies between surgeons and computer scientists underpins the early phase of this highly promising field. Interdisciplinary research initiatives combining existing clinical datasets and emerging techniques of data processing may likely improve CDM in abdominal surgery in the future.

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