Abstract: Systems and methods are provided for identifying a current phase of a surgical procedure. Sensor data representing a time period is received and a plurality of numerical features representing the time period are generated from the sensor data. A statistical parameter representing a plurality of stored values from a memory is generated at a sufficient statistics model. An output, representing a surgical phase associated with the time period is provided at a recurrent neural network from a set of inputs that includes the plurality of numerical features and the statistical parameter.

Abstract: A method, computer system, and program product for estimating savings realized in an enterprise. Data is input into a computer reflecting the dividing of the enterprise into sections Also input the computer is data reflecting the dividing of each section into one or more functions and recording the money spent for each function over a specified period of time. Also input into the computer is data recording the maturity of each function based on standardized criteria and percent improvement data for evaluating savings to be realized as the function improves from one maturity level to a higher maturity level. The computer estimates savings to be realized for each function as the function matures from one maturity level to a higher maturity level and consolidates savings to be realized for all functions in a section and all sections in tile enterprise.