A Semantically Advanced Querying Methodology for Medical Knowledge and Decision Support

2011 ◽  
pp. 96-130
Author(s):  
Epaminondas Kapetanios
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Medical Knowledge ◽  
Medical Interventions

A large part of all activities in healthcare deals with decision making regarding which examinations and tests need to be done or, on the basis of earlier examinations, which further tests need to be ordered. Recently, guidelines for an appropriateness and necessity indication of medical interventions have been elaborated and consulted in order to evaluate the quality of decisions in specific medical domains such as cardiology and hysterectomy.

Practice Guidelines: How Good are Medicine's New Recipes?

1995 ◽  
Vol 23 (1) ◽  
pp. 47-48 ◽  
Author(s):  
Alexander Morgan Capron
Keyword(s):  
Health Care ◽  
Nonprofit Organizations ◽  
Medical Knowledge ◽  
Medical Specialty ◽  
Therapeutic Interventions ◽  
Medical Interventions ◽  
Practice Parameters ◽  
Wide Range ◽  
Standard Of Practice

Over the last decade, standards for when and how to undertake a wide range of medical interventions have poured forth from medical specialty groups, commercial and nonprofit organizations, and state and federal panels. Known by a variety of names—from practice parameters to clinical guidelines—and intended for a range of purposes—from diminishing the incidence of maloccurences in hospitals to cutting the costs of health care—these guidelines share one important feature: the intention of decreasing the range of variation in medical practice. Such standardization immediately appeals to anyone interested in improving the quality of health care and, in particular, reducing inappropriate medical interventions, in light of the difficulties for a conscientious physician today in adhering to the best standard of practice when faced with ever increasing medical knowledge and the growing number and complexity of diagnostic, preventive, and therapeutic interventions.

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

scholarly journals Penerapan Metode Profile Matching Sistem Pendukung Keputusan Demosi Karyawan (Studi Kasus: PT Nafasindo)

2020 ◽  
Vol 7 (2) ◽  
pp. 290
Author(s):  
Daniel F S P Sitohang ◽  
Berto Nadeak ◽  
Putri Ramadani
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Accurate Information ◽  
Profile Matching ◽  
System Use ◽  
Computerized System

One effort in the development of information technology today requires fast and accurate information in its implementation. in the assessment of the work ability of well-performing and poor employees with the support of a decision support system it produces one of the implementations of the development of information technology in improving the quality of the company's work. where the decision making process determines employee demotion is still done manually. still there are often a number of errors such as misdirection. Therefore, to make an assessment in making a decision to choose a decent demotion employee based on the assessment carried out in the field. Then the decision support system that will be built with a computerized system so that decision making is done quickly and accurately. For this decision support system, use the Profile Matching method or matching the demotion of employee demos with the profile of the employee assessed with the specified Criteria. Making an application program must be made carefully, so that it looks easy to understand and proven useful and useful for users. the system built can help PT. Nafasindo in determining the demotion of employees who are decent and can reduce errors in determining the demotion of employees

scholarly journals Sistem Pendukung Keputusan Penyeleksian Colour Guard Pada Marching Band Ginada Dengan Menggunakan Metode Vikor Dan Borda

2020 ◽  
Vol 2 (1) ◽  
pp. 35-48
Author(s):  
Nurjannah ◽  
Dito Putro Utomo
Keyword(s):  
High School ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Body Language ◽  
Routine Activity ◽  
Decision Making Process ◽  
Marching Band

Decision support system for selecting color guard with VIKOR and Borda methods. It has been made as a tool to select color guard at the Sei Rampah High School. The criteria used in the decision support system for color guard selection are: height, weight, agility, stamina, and body language. Color guard selection activities are a routine activity every year, so GINADA marching band coach Sei Rampah hereby selects to select permanent members in the marching band. Decision Support System in an organization can be seen as important in supporting the smooth running of activities and achieving an organizational goal. SPK can come in various forms, ranging from simple forms of data processing to complex application forms, and can also be used to accelerate and improve the quality of the decision-making process in the organization.

scholarly journals Comparison of Computer-based Clinical Decision Support Systems and Content for Diabetes Mellitus

2011 ◽  
Vol 02 (03) ◽  
pp. 284-303 ◽  
Author(s):  
A. Wright ◽  
M. Burton ◽  
G. Fraser ◽  
M. Krall ◽  
S. Maviglia ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Health Care ◽  
Decision Making ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Diabetes Care ◽  
Clinical Decision ◽  
The United States ◽  
Computer Based

SummaryBackground: Computer-based clinical decision support (CDS) systems have been shown to improve quality of care and workflow efficiency, and health care reform legislation relies on electronic health records and CDS systems to improve the cost and quality of health care in the United States; however, the heterogeneity of CDS content and infrastructure of CDS systems across sites is not well known.Objective: We aimed to determine the scope of CDS content in diabetes care at six sites, assess the capabilities of CDS in use at these sites, characterize the scope of CDS infrastructure at these sites, and determine how the sites use CDS beyond individual patient care in order to identify characteristics of CDS systems and content that have been successfully implemented in diabetes care.Methods: We compared CDS systems in six collaborating sites of the Clinical Decision Support Consortium. We gathered CDS content on care for patients with diabetes mellitus and surveyed institutions on characteristics of their site, the infrastructure of CDS at these sites, and the capabilities of CDS at these sites.Results: The approach to CDS and the characteristics of CDS content varied among sites. Some commonalities included providing customizability by role or user, applying sophisticated exclusion criteria, and using CDS automatically at the time of decision-making. Many messages were actionable recommendations. Most sites had monitoring rules (e.g. assessing hemoglobin A1c), but few had rules to diagnose diabetes or suggest specific treatments. All sites had numerous prevention rules including reminders for providing eye examinations, influenza vaccines, lipid screenings, nephropathy screenings, and pneumococcal vaccines.Conclusion: Computer-based CDS systems vary widely across sites in content and scope, but both institution-created and purchased systems had many similar features and functionality, such as integration of alerts and reminders into the decision-making workflow of the provider and providing messages that are actionable recommendations.

scholarly journals SYNTHESIS OF MODULAR-STRUCTURED SYSTEMS FOR AUTOMATIZATION OF DECISION-MAKING PROCESSES IN TRANSPORT LOGISTICS

2014 ◽  
pp. 336-344
Author(s):  
Yuriy Kondratenko ◽  
Sylvia Encheva ◽  
Ievgen Sidenko
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Shipping Company ◽  
Structured Systems ◽  
Transport Services ◽  
Decision Making Processes ◽  
System Module ◽  
Module Type ◽  
Transport Logistics

The ranging analysis of transport logistics problems and decision-making methods were held in the paper. The problems, which are represented as subsystems of DSS (Decision Support System) module type, were considered. One of which, in particular, evaluation of the quality of transport services to select cargo shipping company, was considered in details.

scholarly journals Decision and decision makers

2010 ◽  
Author(s):  
Anuta Porutiu
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Information Technologies ◽  
Support Systems ◽  
Policy Makers ◽  
Systemic Analysis ◽  
New Information ◽  
Enterprise Success

In the current economic context, decision making requires complex and multiple actions on the part of the policy makers, who are more challenged than in previous situations, due to the crisis that we are facing. Decision problems cannot be solved by focusing on manager’s own experience or intuition, but require constant adaptation of the methods used effectively in the past to new challenges. Thus, a systemic analysis and modeling of arising issues is required, resulting in the stringent use of Decision Support Systems (DSS), as a necessity in a competitive environment. DSS optimize the situation by getting a timely decision because the decision making process must acquire, process and interpret an even larger amount of data in the shortest possible time. A solution for this purpose is the artificial intelligence systems, in this case Decision Support Systems (DSS), used in a wider area due to expansion of all the new information technologies in decisionmaking processes. These substantial cyber innovations have led to a radical shift in the relationship between enterprise success and quality of decisions made by managers.

Novice's Performance and Satisfaction Improvement Through Expert Decision Support Usage

2004 ◽  
pp. 163-182
Author(s):  
Lucila Perez ◽  
Michel Plaisent ◽  
Prosper Bernard ◽  
Lassana Maguiraga
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Decision Support ◽  
Positive Impact ◽  
Business World ◽  
New Employees ◽  
Training Tool ◽  
Treatment Groups ◽  
The Impact

Decision support technology, Expert Systems, Executives Information Systems, and Artificial Neural Networks, have been reported to be useful tools to enhance the performance of managers as they helped them to gain more knowledge, experiences, and expertise and consequently enhance the quality of the decision-making. They can also be used as a training tool to transfer the knowledge of the expert to middle and top management and thus improve the performance of new employees. This communication reports the conclusions of a study conducted to verify the impact of the use of the EDSS technology (Expert Decision Support Systems) on the performance and satisfaction of new employees in the business world. A laboratory experiment using control groups and treatment groups was held to test the research model. The results indicate that EDSS technologies do have a positive impact on the performance of the users.

A Web-Based Decision Support System for the Planning of Vessel Dismantling Processes

2009 ◽  
Vol 25 (03) ◽  
pp. 161-167
Author(s):  
Charalambia Pylarinou ◽  
Nikos Karacapilidis ◽  
Emmanuel D. Adamides
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Collaborative Design ◽  
Simulation Environment ◽  
Web Based

Aiming to augment the quality of decision making in vessel dismantling, this paper presents an innovative decision support system that takes into account the diversity of the associated constraints to aid stakeholders handle issues such as the appropriateness of a disposal methodology or the level of safety in a dismantling yard. Being seamlessly integrated with an advanced simulation environment, the system also facilitates the collaborative design of dismantling processes.

OBJECTIFICATION OF FUZZY INFERENCE IN DECISION-MAKING PROBLEMS

2021 ◽  
Author(s):  
L. P. Vershinina ◽  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Statistical Models ◽  
Fuzzy Inference ◽  
Support Systems ◽  
Practical Application ◽  
Inference Process ◽  
Quality Of Information

The basis of modern decision support systems is not so much analytical and statistical models as the practical application of specialists ‘ knowledge. Such systems are based on fuzzy technologies. The quality of decisions made depends on how accurately the quality of information is reflected in the fuzzy inference process. Ways to improve the objectivity of fuzzy inference at the stages of fuzzification, aggregation, activation, and accumulation are proposed.

Sign in / Sign up

Export Citation Format

Share Document