Talk:Decision support system

Decision support system

A decision support system is a highly flexible and interactive Information Technology system which has a purpose of supporting decision making when the problem is not structured. It forms an alliance between you, the decision maker, and specialized support that is provided by IT. To expand further on this, you bring the experience, intuition, judgement, and knowledge. The decision support system brings increased productivity, increased understanding, increased speed, increased flexibility, reduced problem complexity, and reduced cost. Information Technology brings speed, information, and processing capabilities.

Decision Support Systems are used by many companies throughout the world. The Canadian National Railway tests its trains on a regular basis using this type of system. A Decision Support System is crucial in this type of environment because worn-out or defective rails result in hundreds of derailments each year. Under a DSS, this company managed to decrease derailments while other companies experienced an increase in derailments. This example shows the significance a Decision Support System plays in the world today.

This entire article was ripped word for word from Prof. Dr. Pius Hättenschwiler's website. I'm not sure if thats ok with him but I think it should be mentioned.

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Moreover, in the last paragraph of section "Architectures", the sentense begin with "Additionally, I classify"... Reading previous I think this comment should be replaced with "Additionally, Prof. Dr. Pius Hättenschwiler classify...". At least a source should be cited. 194.214.217.17 11:16, 14 March 2006 (UTC) Rémi

Characteristics and Capabilities of DSS Because there is no exact definition of DSS, there is obviously no agreement on the standard characteristics and capabilities of DSS. Turban, E.,Aronson, J.E., and Liang, T.P. (2005)constitute an ideal set of characteristics and capabilities of DSS. The key DSS characteristics and capabilities are as follows:

1. Support for decision makers in semistructured and unstructured problems. 2. Support managers at all levels. 3. Support individuals and groups. 4. Support for interdependent or sequential decisions. 5. Support intelligence, design, choice, and implementation. 6. Support variety of decision processes and styles. 7. DSS should be adaptable and flexible. 8. DSS should be interactive ease of use. 9. Effectiveness, but not efficiency. 10. Complete control by decision-makers. 11. Ease of development by end users. 12. Support modeling and analysis. 13. Data access. 14. Standalone, integration and Web-based.

CLARITY

I don't have time to edit this right now but this article is a mess. It is a hodgepodge of ideas without structure or clarity. Somebody PLEASE edit this! Alex Jackl (talk) 16:14, 16 December 2007 (UTC)

Agreed. For one, there are two sections about the same subject. Taxonomy and Classification are practically the same thing. Merging these would be a good start. Wish I was familiar enough with the subject to make structural changes to this article. --MooNFisH (talk) 09:59, 1 September 2009 (UTC)

Decision support analysis

Is this related or the same thing? Should there be re-direct? —Preceding unsigned comment added by 202.64.168.196 (talk) 15:05, 5 January 2008 (UTC)

Text imported from deleted article

I deleted an article (mistakenly created as a category) with the same title as this one: I have pasted the text below in case there are elements of it which should be incorporated here by people who know the subject better than I. Article text follows:

Decision Support system

Decision Support system is a “computer-based information system which helps the user to make better decisions, improved quality of care and educe cost without loss of quality”.

According to Wyatt and Spiegelhalter clinical decision support (CDS) systems are “active knowledge systems which use two or more items of patient data to generate case-specific advice.” (J. H. Van Bemmel, et al., 1997)

Computerized Decision Support System

Computerized Decision Support systems are consultation system that uses artificial intelligence techniques knowledge and solving problems. Computer based decision making systems help healthcare providers use information to make better decisions have been developed and implemented. These decision aids are designed to improve the quality and reduce the cost of healthcare.

Clinical Decision Support (CDS) system integrated with the Computer based Patient Record (CPR) support clinician decision making. CPR with extensive CDS capabilities provides clinicians with more complete and more comprehensive information from multiple sources. “UHN established a CDS program, focused on providing clinicians with CDS tools that can improve the quality and efficiency of care. The CDS clinical advisory committee (CAC) is responsible for the development and approval of all CDS initiatives”. (Peacock, Sinert and Smith, 2004).

Clinical Data Warehouse (CDW) is another technology used. CDW is a bridge between patient centered decision making and population based healthcare decision making. CDW includes data from the CPR and other enterprise systems, stored on a separate system and reorganized to support retrospective analysis. It does not contain a mirror image of the data in the transactional system; rather, it contains a subset of data useful for its specific purposes. CDW contain the results of the clinical processes that occurred. CDW is a critical tool to measure.

Benefits of using Decision Support System

Decision support system have many benefits, the tools use in DSS can help in many ways:

Each of the decision support tools (CPR, CDSS, and CDW) is valuable alone, but together they are a powerful combination for improved patient outcomes. Decision support is important to all phases of the clinical process, from assessment and planning to intervention and evaluation. A comprehensive CDSS should assist the clinical at every point of care, providing everything from rapid access to relevant knowledge bases, to interactive criteria based alerts at the time of order entry and outcome indicator reports. Clinical data warehouse is crucial throughout the process. It allows UHN to quickly identify and assess decision support opportunities by generating analytical reports that detail clinical practice. (Peacock, Sinert and Smith, 2004).

The decision support system helps the organization to take right decision at the right time through the extraction of historical and current datas in a system.Decision support system also speeds up in making decisions and also helps in solving ill-structured problems.Decision support system improves the effeciency of the managers and the proffessionals in making decisions and also how to control the activities of the organization.(Raju Kumar Singh,2011)(12.176.17.58 (talk) 21:36, 19 January 2011 (UTC))

References

• J. H. Van Bemmel, et al., (1997. Clinical decision support systems. Medical Informatics, pg. 261-275

• Thornett. M. Andrew. (2001). Computer Decision Support Systems in General Practice. International Journal of Information Management. 21, 39-47

• Peacock R. Peter., Sinert, Rich and Smith S. Mark. (2004) Computerized Physician Order Entry and Online Decision Support. Society for Academic Emergency Medicine; 11(11) Pg. 1135-1141.

Kim Dent-Brown ^(Talk) 09:37, 12 April 2008 (UTC)