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https://www.managementstudyhq.com/types-of-decision-support-systems.html
Types of Decision Support Systems 1. Model Based DSS: These systems are standalone systems and they are not connected with other major corporate information systems. 2. Data based DSS: These systems can analyze huge amount of data from different sources, such as organizational data, data from ...
https://www.wisegeek.com/what-are-the-different-types-of-decision-support-systems.htm
Oct 13, 2019 · There are several types of decision support systems, and all are designed to help businesses access and organize internal and external data so that quality-based decisions can be made. Some of the most common kinds of systems are web-based, data-driven, or communication-driven.
http://www.gdrc.org/decision/dss-types.html
There are a number of Decision Support Systems. These can be categorized into five types: Communication-driven DSS Most communications-driven DSSs are targetted at internal teams, including partners. Its purpose are to help conduct a meeting, or for users to collaborate. The most common technology used to deploy the DSS is a web or client server.
https://it-evolution.blogspot.com/2011/03/types-of-decision-support-systems-dss.html
Mar 24, 2011 · Types of Decision Support Systems (DSS) 1. Communication-driven DSS. 2. Data-driven DSS. 3. Document-driven DSS. 4. Knowledge-driven DSS. 5. Model-driven DSS.
https://healthitanalytics.com/features/understanding-the-basics-of-clinical-decision-support-systems
Dec 12, 2017 · Ultimately, CMS says, clinical decision support can include any health IT system, workflow, or process intended to deliver: the right information (evidence-based guidance, response to clinical need) to the right people (entire care team – including the patient) through the right channels (e.g., EHR,...
https://dsssystem.blogspot.com/2010/01/types-of-systems.html
Decision support systems support semi-structured and unstructured problem analysis and emphasizes change, flexibility, and a rapid response. With a DSS (Decision Support Systems) there is less of an effort to link users to structured information flows and a correspondingly greater emphasis on models, assumptions, ad hoc queries, and display graphics. Model-driven …
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