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Return on Time Invested (ROTI) is a metric employed to assess the productivity and efficiency of time spent on a specific activity, project, or product. The concept is similar to return on investment (ROI), but instead of financial capital, ROTI measures the qualitative and quantitative outcomes derived from the time invested.
The Donabedian model is a conceptual model that provides a framework for examining health services and evaluating quality of health care. [1] According to the model, information about quality of care can be drawn from three categories: "structure", "process", and "outcomes". [ 2 ]
Process optimization is the discipline of adjusting a process so as to make the best or most effective use of some specified set of parameters without violating some constraint. Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major quantitative tools in industrial decision making.
A pick chart allows visual comparison of action items relative to their impact to the problem being addressed vs. the ease/cost of implementation. In VERY rudimentary terms, PICK charts are a Return On Investment (ROI) method. When faced with multiple improvement ideas a PICK chart may be used to determine the most useful.
Health care efficiency is a comparison of delivery system outputs, such as physician visits, relative value units, or health outcomes, with inputs like cost, time, or material. Efficiency can be reported then as a ratio of outputs to inputs or a comparison to optimal productivity using stochastic frontier analysis or data envelopment analysis .
Performance improvement is measuring the output of a particular business process or procedure, then modifying the process or procedure to increase the output, increase efficiency, or increase the effectiveness of the process or procedure. Performance improvement can be applied to either individual performance, such as an athlete, or ...
Simulation-based optimization (also known as simply simulation optimization) integrates optimization techniques into simulation modeling and analysis. Because of the complexity of the simulation, the objective function may become difficult and expensive to evaluate. Usually, the underlying simulation model is stochastic, so that the objective ...
It is used for product or process design in contrast with process improvement. [1] Measurement is the most important part of most Six Sigma or DFSS tools, but whereas in Six Sigma measurements are made from an existing process, DFSS focuses on gaining a deep insight into customer needs and using these to inform every design decision and trade-off.