Decision Support System for Long Term Planning of Rural and Urban 2025

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Examples of CDS tools include order sets created for particular conditions or types of patients, recommendations, and databases that can provide information relevant to particular patients, reminders for preventive care, and alerts about potentially dangerous situations.
Common Day-to-Day Decision Support System Examples Farmers use crop-planning tools to determine the best time to plant, fertilize and reap. Medical diagnosis software that allows medical personnel to diagnose illnesses is another example.
The purpose of a DSS is to gather, analyze and synthesize data to produce comprehensive information reports that an organization can use to assist in its decision-making process. Unlike tools that are limited to just data collection, DSSes also process that data to create detailed reports and projections.
Social support system refers to a network of people friends, family, and peers that we can turn to for emotional and practical support. At school, fellow students, supportive staff, and faculty may provide assistance, and as we move into our professional careers, our colleagues may also be sources of support.
Common Day-to-Day Decision Support System Examples Many GPS systems also include traffic avoidance capabilities that monitor traffic conditions in real time, allowing motorists to avoid congestion. Farmers use crop-planning tools to determine the best time to plant, fertilize and reap.
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These can be categorized into five types: Communication-driven DSS. Most communications-driven DSSs are targetted at internal teams, including partners. Data-driven DSS. Most data-driven DSSs are targeted at managers, staff and also product/service suppliers. Document-driven DSS. Knowledge-driven DSS: Model-driven DSS.
A typical Decision support systems has four components: data management, model management, knowledge management and user interface management. The data management component performs the function of storing and maintaining the information that you want your Decision Support System to use.
Understanding the different types of DSSDocument-Driven, Data-Driven, Knowledge-Driven, Model-Driven, and Communication-Drivenenables organizations to select the most suitable system for their needs.

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