- published: 03 Apr 2013
- views: 55887
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e. Unstructured and Semi-Structured decision problems. Decision support systems can be either fully computerized, human-powered or a combination of both.
While academics have perceived DSS as a tool to support decision making process, DSS users see DSS as a tool to facilitate organizational processes. Some authors have extended the definition of DSS to include any system that might support decision making. Sprague (1980) defines DSS by its characteristics:
A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with clinical decision support (CDS), that is, assistance with clinical decision-making tasks. A working definition has been proposed by Robert Hayward of the Centre for Health Evidence: "Clinical Decision Support systems link health observations with health knowledge to influence health choices by clinicians for improved health care". CDSSs constitute a major topic in artificial intelligence in medicine.
The evidence of the effectiveness of CDSS is mixed. A 2014 systematic review did not find a benefit in terms of risk of death when the CDSS was combined with the electronic health record. There may be some benefits, however, in terms of other outcomes.
A 2005 systematic review concluded that CDSSs improved practitioner performance in 64% of the studies. The CDSSs improved patient outcomes in 13% of the studies. Sustainable CDSSs features associated with improved practitioner performance include the following:
Decision may refer to:
Support may refer to:
A system is a set of interacting or interdependent component parts forming a complex/intricate whole. Every system is delineated by its spatial and temporal boundaries, surrounded and influenced by its environment, described by its structure and purpose and expressed in its functioning.
The term system may also refer to a set of rules that governs structure and/or behavior. Alternatively, and usually in the context of complex social systems, the term is used to describe the set of rules that govern structure and/or behavior.
The term "system" comes from the Latin word systēma, in turn from Greek σύστημα systēma: "whole compounded of several parts or members, system", literary "composition".
According to Marshall McLuhan,
"System" means "something to look at". You must have a very high visual gradient to have systematization. In philosophy, before Descartes, there was no "system". Plato had no "system". Aristotle had no "system".
In the 19th century the French physicist Nicolas Léonard Sadi Carnot, who studied thermodynamics, pioneered the development of the concept of a "system" in the natural sciences. In 1824 he studied the system which he called the working substance (typically a body of water vapor) in steam engines, in regards to the system's ability to do work when heat is applied to it. The working substance could be put in contact with either a boiler, a cold reservoir (a stream of cold water), or a piston (to which the working body could do work by pushing on it). In 1850, the German physicist Rudolf Clausius generalized this picture to include the concept of the surroundings and began to use the term "working body" when referring to the system.
Short video on DSS for Accounting and business students. More A-Z of business terminology at http://accountingcollege.co.uk/
DECISION SUPPORT SYSTEM simulation.-- Created using PowToon -- Free sign up at http://www.powtoon.com/join -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
In this video we discuss what is Decision Support System? in next video we cover Components and characteristics of decision support system in hindi Thanks for watching subscribe for updates https://www.youtube.com/channel/UCrFBvmpqjx7AyAsIjPM8w9g
www.onurdogan.net The video aims only to introduce the 'Decision Support Systems'. Actually, it has many details. for others: http://www.onurdogan.net/htmls/yazilar&videolar;.html
Health care providers are increasingly using electronic decision support tools at the point of care to make evidence-informed decisions. This video describes how the electronic medication reconciliation process helps to reduce errors and support team collaboration.
The Clinical Decision Support Consortium (CDSC) is one of two projects AHRQ funded to demonstrate how clinical decision support (CDS) can be implemented effectively at scale to diverse locations. This video shares the story of a small rural healthcare practice that participated in the CDCS project and helped show that CDS created at a large teaching hospital could be effectively disseminated to healthcare providers using different EHRs anywhere in the country. Video also at: http://healthit.ahrq.gov/CDSCVideo
Healthcare organizations face immense challenges which put greater emphasis on quality, accountability and efficiency. EHRs are part of the solution but Clinical Decision Support Systems, when paired with EHRs can help hospitals and health systems directly address these challenges. Learn more at http://inferscience.com
Watch this sample to get a preview of the online course Clinical Decision Support, which explores the principles of evidence-based medicine and the role of decision support tools in bringing informatics to the bedside. This course is part of the online Health Informatics Certificate Program offered by UC Davis Extension. For additional information, visit the website. http://extension.ucdavis.edu/healthsciences
This tutorial is designed to help undergraduate students complete the Microsoft Excel assignment on Decision Support Systems in IS 251: Information Systems at Loyola University Maryland. I would like to thank Dr. Paul Tallon for developing the assignment as well as a tutorial guide that walks students through each of the key processes. This video was created to add a visual option for students.
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e. Unstructured and Semi-Structured decision problems. Decision support systems can be either fully computerized, human-powered or a combination of both. An executive information system (EIS), also known as an executive support system (ESS), is a type of management information system that facilitates and supports senior executive information and decision-making needs. It provides easy access to internal and external information ...
Speaker: Rachel Gold, Ph.D., MPH Assistant Investigator , Kaiser Permanente Center for Health Research Description: Integrated health care organizations such as Kaiser Permanente (Kaiser) have developed clinical decision support systems (CDSS) that harness EHR data to improve provider adherence to guideline-based prescribing. For example, Kaiser's diabetes quality improvement intervention, the 'ALL Initiative,' uses EHR-based CDSS tools to improve rates of guideline-based cardio-protective prescribing. To assess whether this effective intervention could be adapted for use in CHCs, we conducted a 'translational' randomized trial involving11 CHCs in Portland, OR. We adapted Kaiser's intervention elements for the CHC context, implemented the adapted CDSS tools in the study CHCs, and assess...
www.onurdogan.net The video aims only to introduce the 'Decision Support Systems'. Actually, it has many details. for others: http://www.onurdogan.net/htmls/yazilar&videolar;.html
Subject:Management Paper: Management Information System
Speaker: Rachel Gold, Ph.D., MPH Assistant Investigator , Kaiser Permanente Center for Health Research Description: Integrated health care organizations such as Kaiser Permanente (Kaiser) have developed clinical decision support systems (CDSS) that harness EHR data to improve provider adherence to guideline-based prescribing. For example, Kaiser's diabetes quality improvement intervention, the 'ALL Initiative,' uses EHR-based CDSS tools to improve rates of guideline-based cardio-protective prescribing. To assess whether this effective intervention could be adapted for use in CHCs, we conducted a 'translational' randomized trial involving11 CHCs in Portland, OR. We adapted Kaiser's intervention elements for the CHC context, implemented the adapted CDSS tools in the study CHCs, and assess...
While previous work has shown that clinical decision support systems (CDSS) improve patient care in resource-limited settings, there is little access to such systems at the point of care. Moreover, even when CDSS are available, compliance with care suggestions remain low. In this paper, we use a multi-method approach to document four failure modes that can affect CDSS implementations. Building from six iteratively derived design principles, we describe a phone-based system designed to address these failure modes. Through a formal usability evaluation, we discover six core findings that are important for implementers of mobile systems for health care providers in resource-limited settings. Conference: http://ictd2012.org Paper: http://anokwa.com/publications/2011_ICTD_DecisionSupport_Pape...
The case study was presented at AnyLogic Conference by Pablo Varela, Continente Siete (Argentina). Simulation based decision support system for Argentina's telecom market.
In this April 17, 2000 video lecture Prof. Daniel Power discusses the future of Decision Support Systems. He was in Cedar Falls, Iowa at the University of Northern Iowa addressing Information Systems Masters Degree students in a classroom at University College Dublin. Prof. Peter Keenen is the instructor in Dublin.
When Superstorm Sandy washed ashore, it was a storm that spanned literally 1,000 miles and affected states from North Carolina to Maine. In the first post-Sandy days, response and relief organizations were challenged by road closures, traffic, and lack of fuel (due to the lack of power), making it difficult to get responders and relief assets into place. Emergency Visions is very excited to have Ryan Lanclos, Industry Manager at Esri (the nation's leading developer of Geographic Information Systems -- GIS - that function as an integral component in nearly every type of organization) join us on Wednesday December 5th to discuss how GIS made a difference in responding to Superstorm Sandy. Ryan will review the utilization of GIS in the Superstorm Sandy response as well as covering the many...
Name : Robbigh Faubendri NRP : 5213100164 Book : Decision Support System and Business Intelligence System by Efraim Turban
This paper will summarize the capabilities of a JMP-based decision support system (DSS) developed for the NASA Environmentally Responsible Aviation (ERA) research project. Various visualizations and use-cases will be explored, including Pareto optimal technology packages, technology uncertainty analysis using probabilistics, MATLAB model integration, and noise contour evaluation at airports. Read the paper by John Salmon and Jeff Schutte given at 2014 JMP discovery Summit. https://community.jmp.com/docs/DOC-6677
Niels Peek (MSc, PhD) is Reader in Health Informatics at the Health e-Research Centre from the University of Manchester. He has a background in Computer Science and Artificial Intelligence. His research focuses on data-driven informatics methods for healthcare quality improvement, data mining for healthcare, predictive models, and clinical computerised decision support. He has co-authored more than 100 peer-reviewed, scientific publications. Previously based at the University of Amsterdam, he led the “CARDSS” initiative which secured 1.7M euro funding and introduced computerised decision support in 40 Dutch hospitals. He co-organised international workshops on intelligent data analysis in biomedicine in Aberdeen (2005), Verona (2006) and Bled (2011), and a workshop on electronic phenotypin...
A Google+ Video Hangout with Jonathan Teich, MD, PhD, Elsevier's Chief Medical Information Officer and a physician at Brigham and Women's Hospital in Boston. In this hangout, we'll be discussing where we're at with clinical decision support and where the technology is heading. We'll also discuss how clinical decision support can improve clinical care, prevent adverse events, and streamline clinical workflow