Knowra Decision support system Decision support system A decision support system is an interactive computer-based system that helps people analyze information, compare alternatives, and make decisions. It combines data, analytical methods, and user interaction without necessarily automating the final choice.
Decision model : A formal representation of choices, constraints, uncertainties, and outcomes used to analyze a decision. It encodes the decision structure that the system evaluates.
Decision analysis : The systematic evaluation of choices under uncertainty, using preferences, probabilities, and consequences. It provides formal methods for structuring and comparing choices.
Clinical decision support system : A health information system that provides clinicians with patient-specific knowledge or recommendations. It applies decision support to diagnosis, treatment, and patient-care workflows.
Management information system : An information system that provides managers with reports and information for organizational oversight. It typically emphasizes recurring reports, while decision support emphasizes interactive analysis of choices.
Human–computer interaction : The study and design of interactions between people and computer systems. Interface design affects whether evidence is understood and used appropriately.
Database : An organized collection of data stored and accessed electronically. It supplies the records and measurements that analyses draw on.
Sensitivity analysis : A method for measuring how changes in input values affect a model's results. It reveals which assumptions most influence a decision's calculated outcome.
Geographic information system : A system for capturing, managing, analyzing, and displaying data linked to geographic locations. Spatial overlays and location analysis support planning and resource-allocation decisions.
Business intelligence : Methods and technologies for collecting, analyzing, and presenting information about organizational performance. It often focuses on describing business data; decision support also evaluates possible actions.
Automation bias : The tendency to favor automated recommendations and discount contradictory evidence. Users may over-trust a system's output even when its assumptions or data are flawed.
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