scholarly journals Factors Influencing Outsourcing Services in Iranian Medical Centers: A Systematic Review

2021 ◽  
Author(s):  
Omid Khosravizadeh ◽  
Mohammad Zakaria Kiaei ◽  
Saeed Shahsavari ◽  
Nasibeh Mansouran Tazekand
Keyword(s):  
Decision Making ◽  
Web Of Science ◽  
Decision Makers ◽  
Key Factors ◽  
Medical Centers ◽  
Factors Influencing ◽  
Service Type ◽  
Executive Level ◽  
And Control

Background: Identifying the key factors effective on outsourcing can play a significant role in helping healthcare decision makers to present solutions to improve the outsourcing situation. This study was conducted in order to systematically review the factors influencing the decision making to outsource the services of Iranian medical centers. Methods: Data was collected through searching for keywords in Google Scholar, PubMed, Scopus, Web of Science, Science direct, Magiran, SID and Irandoc databases from January 2010 to December 2020. Also, the quality of the studies was measured and verified by three experts utilizing the Strobe checklist. Researchers classified results achieved by the study. Results: 10 articles were selected that responded to the study's questions. 44 components in seven dimensions including (economic and financial components, components of laws and regulations (legal), components of supervision and control, components of service type, components of executive capability of the organization, components of the external environment of the organization and components human resources) were recognized on the decision to outsource services in medical centers in Iran. Conclusion: olicy makers at the decision-making level and managers at the executive level should consider the efficient components and dimensions before deciding to execute outsourcing in units according to the wanted structure, process and consequences, and then make the needed decision regarding the implementation.  

scholarly journals A protocol for a systematic review investigating the factors influencing the statistical planning, design, conduct, analysis and reporting of trials

2020 ◽  
Vol 3 ◽  
pp. 36
Author(s):  
Marina Zaki ◽  
Marie Galligan ◽  
Lydia O'Sullivan ◽  
Declan Devane ◽  
Eilish McAuliffe
Keyword(s):  
Systematic Review ◽  
Medical Devices ◽  
Methodological Approach ◽  
Clinical Use ◽  
Key Factors ◽  
Eligibility Criteria ◽  
Factors Influencing ◽  
Comprehensive Search ◽  
Statistical Planning

Trials can be defined as prospective human research studies to test the effectiveness and safety of interventions, such as medications, surgeries, medical devices and other interventions for the management of patient care. Statistics is an important and powerful tool in trials. Inappropriately designed trials and/or inappropriate statistical analysis produce unreliable results, with limited clinical use. The aim of this systematic literature review is to identify, describe and synthesise factors contributing to or influencing the statistical planning, design, conduct, analysis and reporting of trials. This protocol will describe the methodological approach taken for the following: conducting a systematic and comprehensive search for relevant articles, applying eligibility criteria for the inclusion of such articles, extracting data and information, appraising the quality of the articles, and thematically synthesizing the data to illuminate the key factors influencing statistical aspects of trials.

Decision-Making Model for Convention Site Selection

2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Political Conflict ◽  
Decision Makers ◽  
City Image ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Decision Making Model ◽  
Hierarchy Process

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.

Analysis and Intuition in Strategic Decision Making

2011 ◽  
pp. 1531-1542
Author(s):  
Zita Zoltay Paprika
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Strategic Decisions ◽  
Managerial Skills ◽  
Research Scholarship ◽  
Empirical Tests

Many management scholars believe that the process used to make strategic decisions affects the quality of those decisions. However, several authors have observed a lack of research on the strategic decision-making process. Empirical tests of factors that have been hypothesized to affect the way strategic decisions are made are notably absent (Fredrickson, 1985). This article reports the results of a study that attempts to assess the effects of decision-making circumstances, focusing mainly on the approaches applied and the managerial skills and capabilities the decision makers built on during concrete strategic decisionmaking procedures. The study was conducted in California between September 2005 and June 2006 and it was sponsored by a Fulbright research scholarship grant.

scholarly journals 3200 Balancing Cost and Quality of Care in the US and Denmark: Lessons for Nations Transitioning from Volume-Based to Value-Based Care

2019 ◽  
Vol 3 (s1) ◽  
pp. 140-140
Author(s):  
Negin Fouladi ◽  
Margit Malmmose
Keyword(s):  
Decision Making ◽  
Quality Of Care ◽  
Control Strategies ◽  
Decision Makers ◽  
Sources Of Information ◽  
Healthcare Organizations ◽  
Regulatory Oversight ◽  
Physician Practices ◽  
The Us

OBJECTIVES/SPECIFIC AIMS: Promote knowledge translation and evidence-informed decision-making by assessing barriers and facilitators to balancing cost and quality of care within the US state of Maryland and nation of Denmark. METHODS/STUDY POPULATION: Open-ended and semi-structured key-informant interviews were conducted in 2016 and 2017 among high level decision-makers in Maryland (N=21) and the Danish (N=17) healthcare systems, including hospital, local, regional, and cross-organizational administrators and elected officials. The interviews consisted of questions related to: (1) currently practiced and preferred approaches to resource allocation and development and use of quality performance measures, and (2) preferred sources, formats/styles, modes of information, and decision-making strategies based on a shift from volume to quality-driven care. RESULTS/ANTICIPATED RESULTS: Decision-makers in Maryland expressed the need for collaboration in a changing environment, yet increasingly rely on cost and quality outcomes data to drive decisions and note the struggle to identify credible and useful information. Maryland decision-makers also face challenges in regulating utilization and costs without mandated participation of physician practices within the global budget cap model, which is perceived to be a primary driver of healthcare utilization in the hospital sector. Similarly, decision-makers in Denmark conveyed the importance of quantitative data to aid decisions, however, stress collaboration and dialogue as driving factors and important sources of information. Danish decision-makers also express challenges to wide-spread adoption of a quality-driven approach due to unsustained quality assurance regulatory bodies. DISCUSSION/SIGNIFICANCE OF IMPACT: The findings suggest implementation of value-based healthcare is highly driven and influenced by availability of credible data, which may significantly impact development of policies and innovative cost control strategies, and regulatory oversight to promote adoption of quality measures in decision-making. Furthermore, collaboration within and across healthcare organizations remains a key component to health system improvement as it fosters dialogue and sharing of best practices among stakeholders.

scholarly journals How Cognitive Biases Influence the Data Verification of Safety Indicators: A Case Study in Rail

Safety ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 69
Author(s):  
Burggraaf ◽  
Groeneweg ◽  
Sillem ◽  
van Gelder
Keyword(s):  
Decision Making ◽  
Cognitive Biases ◽  
Decision Makers ◽  
Human Cognition ◽  
Quality Data ◽  
Verification Process ◽  
Support Decision Making ◽  
Good Quality Data

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.

Acquiring Advanced Technology: Decision-making Strategies at Twelve Medical Centers

1993 ◽  
Vol 9 (4) ◽  
pp. 530-538 ◽  
Author(s):  
Saul N. Weingart
Keyword(s):  
Decision Making ◽  
Technology Assessment ◽  
Ad Hoc ◽  
Clinical Care ◽  
Advanced Technology ◽  
Financial Impact ◽  
Assessment Process ◽  
Medical Centers ◽  
The Impact

AbstractThis study describes decision making regarding the acquisition of technology in 12 major medical centers. The financial impact of a project was the most widely cited criterion of decision, but financial considerations were less important than either the impact of a technology on the quality of clinical care or its contribution to teaching and research. Rarely were criteria set out explicitly or in advance. Although exemplary models exist, the technology assessment process at most institutions is described as “political,” “informal,” or “ad hoc.”

scholarly journals Towards Decision Making for Green Projects Assessment and Prioritization, Integration Between System Dynamics and Participatory Modelling

2020 ◽  
Author(s):  
Gerard Olivar-Tost ◽  
Johnny Valencia-Calvo ◽  
Julián Andrés Castrillón-Gómez
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Dynamic Models ◽  
Supply And Demand ◽  
Decision Makers ◽  
Land Resources ◽  
Model Based ◽  
Post Conflict ◽  
Social Dynamic ◽  
And Control

This research article presents the integration of participatory modeling and system dynamics as a novel methodology for the consolidation of social dynamic models for the subsequent evaluation and prioritization of green projects in Colombian post-conflict communities. In the first instance, through participatory work carried out along with the community, it was possible to identify, evaluate and systematize citizen factors in relation to the problems and needs of the region. Second, based on the results obtained, to calibrate a simulation model based on system dynamics that facilitates decision making with regard to the evaluation of green projects. The proposed methodology leads to the conclusion that, with the participation of the community and with a model based on the dynamics of variables such as supply and demand for natural resources of water and land, it is possible to warn decision makers about the variables that can lead to the maximization of investments and thus prioritize and select the most appropriate environmental, social or economic initiatives, that certainly meet the needs or expectations of the involved community. In the future, the model could be used to facilitate the management, administration and control of water and land resources by creating alerts called reserve margins.

scholarly journals Encouraging Decision Vigilance Through Increased Accountability

2011 ◽  
Vol 9 (3) ◽  
pp. 129 ◽  
Author(s):  
Patricia M. Fandt
Keyword(s):  
Decision Making ◽  
Customer Service ◽  
Decision Makers ◽  
Organizational Setting ◽  
Course Of Action ◽  
Two Measures ◽  
Customer Service Representatives ◽  
Quality Decision ◽  
The Given

The study examines how vigilance in decision making is affected by accountability. As suggested by Janis and Mann (1977), high quality decision making is characterized by the presence of vigilance. By examining the procedures used by decision makers in selecting a course of action, it is possible to predict the quality of the given decision or course of action. In an organizational setting, 140 customer service representatives were exposed to a realistic job related decision making exercise. Using two measures of decision vigilance strategy, results indicate that decision makers in high accountability conditions use more decision vigilance than decision makers in low accountability conditions. Implications for practicing managers are suggested.

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