Abstract: There is provided a system and method for processing and storage of a time-series data stream. The method including: separating an input time-series data stream into a value array and a time array; segmenting the value array into blocks, each block including a plurality of consecutive values; performing iterations of delta encoding on the values in each block; organizing multiple delta encoded blocks in an output file structure, the output file structure further comprising the time array associated with the values in the block and a block header, the block header including: the number of values in the block; initial values for the delta encoding; and the number of iterations of delta encoding applied on the block; and outputting the multiple blocks in the output file structure.

Abstract: In one embodiment, a technique for assessing a stability of a patient is provided. In particular, a plurality of estimated trends for each physiological variable of a patient are calculated by utilizing a plurality of physiological variables from a plurality of medical devices and a plurality of target ranges for each physiological variable. These trends are then used to calculate dynamically a single stability value over time of the patient based the target ranges input by a user for each physiological variable in relation to the estimated trends. In particular, this stability value a single value that accounts for and reflects the stability/acuity of a plurality of physiological variables to indicate quickly to physicians the stability of the patient.