Search results for "DECISION-MAKING"
showing 10 items of 309 documents
The Unsolved Conundrum of Optimal Blood Pressure Target During Acute Haemorrhagic Stroke: A Comprehensive Analysis
2019
Intracerebral haemorrhage (ICH) is a devastating cerebrovascular disease, which accounts to 15% of all strokes. Among modifiable risk factors for ICH, hypertension is the most frequent. High blood pressure (BP) is detected in more than 75–80% of patients with ICH. Extremely elevated BP has been associated with early hematoma growth, a relatively frequent occur-rence and powerful predictor of poor outcome in patients with spontaneous ICH. On the other hand, excessively low BP might cause cerebral hypoperfusion and ultimately lead to poor outcome. This review will analyse the most important trials that have tried to establish how far should BP be lowered during acute ICH. These trials have de…
Clinical Decision-Making when Treating Diabetic Macular Edema Patients with Dexamethasone Intravitreal Implants.
2017
Diabetes mellitus (DM) is a metabolic disease frequently associated with comorbidities that include diabetic macular edema (DME). The current medical approach to treating DME involves intravitreal injections with either anti-vascular endothelial growth factors or steroids. However, the burden associated with intravitreal injections and DM-derived complications is high, underlining the need to find optimal treatment regimens. In this article we describe the considerations we apply when treating DME patients with dexamethasone intravitreal implants (Ozurdex®), particularly those that influence the clinical decision-making process during the follow-up period. These considerations are based bot…
The Impact of Artificial Intelligence on Traditional Chinese Medicine
2021
Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, th…
Behavioral and Electrophysiological Arguments in Favor of a Relationship between Impulsivity, Risk-Taking, and Success on the Iowa Gambling Task
2019
The aim of the present study was to investigate the relationship between trait impulsivity, risk-taking, and decision-making performance. We recruited 20 healthy participants who performed the Iowa Gambling Task (IGT) and the Balloon Analog Risk Task (BART) to measure decision-making and risk-taking. The impulsivity was measured by the Barratt Impulsiveness Scale. Resting-state neural activity was recorded to explore whether brain oscillatory rhythms provide important information about the dispositional trait of impulsivity. We found a significant correlation between the ability to develop a successful strategy and the propensity to take more risks in the first trials of the BART. Risk-taki…
The Psychological Foundations of Management in Family Firms: Emotions, Memories, and Experiences
2021
Exploring the psychological foundations of management in family firms is necessary to understand why they formulate and implement strategies differently from nonfamily firms, and why and how family firm behavior varies across different family firms. Picone et al. (2021. The psychological foundations of management in family firms: Values, biases, and heuristics. Family Business Review, 34(1), 12-32) have proposed a conceptual framework for the psychological foundations of management in family business, examining how the values, biases, and heuristics of family firm members affect strategic decision-making and family firm outcomes. Drawing on this framework, we examine emotions, memories, an…
Building a statistical surveillance dashboard for COVID-19 infection worldwide
2020
When a pandemic like the current novel coronavirus (COVID-19) breaks out, it is important that authorities, healthcare organizations and official decision makers, have in place an effective monitoring system to promptly analyze data, create new insights into problematic areas and generate actionable knowledge for fact-based decision making. The aim of this article is to describe an initial work focused on building a comprehensive statistical surveillance dashboard for the epidemic of COVID-19, which can be exploited also for future needs. We propose novel ways of exploring, analyzing and presenting data, using metrics that have not been used previously. We also show the steps necessary to b…
The timing of initial imaging in testicular cancer: impact on radiological findings and clinical decision making
2021
Background In testicular cancer determination of clinical stage and recommendation of therapeutic strategy after inguinal orchiectomy are based on primary imaging by CT-scan of the chest and CT- or MRI- abdomen. It has not been investigated so far, whether the imaging should be performed before or after primary testicular surgery. Staging before surgery means exposing all patients to CT radiation irrespective of ensured histologic malignancy while postoperative staging could pose a risk in biased clinical decision making by increased presence of unspecific lymph node enlargement caused by postsurgical effects. Therefore, we aimed to investigate the association between the timing of initial …
Characterization of the consistent completion of analytic hierarchy process comparison matrices using graph theory
2019
Decision-making is frequently affected by uncertainty and/or incomplete information, which turn decision-making into a complex task. It is often the case that some of the actors involved in decision-making are not sufficiently familiar with all of the issues to make the appropriate decisions. In this paper, we are concerned about missing information. Specifically, we deal with the problem of consistently completing an analytic hierarchy process comparison matrix and make use of graph theory to characterize such a completion. The characterization includes the degree of freedom of the set of solutions and a linear manifold and, in particular, characterizes the uniqueness of the solution, a re…
Some awkward issues on pairwise comparison matrices
2017
Many decision-making techniques use pairwise comparisons (PCs) elicited by one or more stakeholders involved in a given corresponding decision-making process. In very complex problems, the number of criteria or options to be compared may be too large, thus limiting PC applicability to large-scale decision problems due to the so-called curse of dimensionality, that is, a large number of pairwise comparisons need to be produced from a decision maker. For example, in AHP, Saaty [1] recommends that to obtain a reasonable and consistent PC matrix, the number of comparing elements should be at most seven. In [2] and [3], arguing on limitations of the human capabilities, the maximum number of elem…
Shared Leadership Regulates Operational Team Performance in the Presence of Extreme Decisional Consensus/Conflict: Evidences from Business Process Re…
2019
This study focuses on decision-making within operational teams. Grounding our argumentation on group decision-making literature, we argue that adverse behavior patterns may affect the way in which consensus is achieved within the team, and that team performance has an inverted U-shaped relationship with the level of consensus. Then, by relying on leadership literature, we pose the hypothesis that the level of shared leadership inside the group moderates this U-shaped relationship. To empirically test our literature-based argumentation, we use longitudinal data collected in the years 2014 and 2015 from business process reengineering projects, each lasting three months, conducted by 141 maste…