Importance

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Abstract

A method of using existing and new hardware in order to derive statistical information and control charts reflecting statistical changes in a monitored individual utilizing patient monitoring devices, communications between patient monitoring devices and computer systems. The process involves (1) selection of data from the stream of data originating from the monitoring device, (2) compartmentallization of data into records, (3) selection and isolation of that portion of each selected record related to the monitored event (e.g. blood pressure), (4) determining for significantly statistical consecutive groups, the average average, and the standard deviation (sigma) (5) repeating the said process steps 1 through 4 after a delay in order to avoid covariance until, after a significant number of repetitions, the number of which are selected by the user, it is possible to set control chart limits (upper and lower control limits and the theory of runs), (6) setting control limits (the upper control limit and lower control limit are functions of sigma, usually the same, and adjustable by the user) (7) to set up appropriate control charts on a moving screen (either internally or on displays); (8) continuously determining average-average and standard deviation as set out in steps (1) through (4) above; (9) continuously graphing and displaying sigma, x-bar and range against the control charts; (10) marking statistically significant deviations on the chart as by circling readings which deviate farther than the control limits and where the theory of runs, as controlled by the user, indicates a statistically consistent number of deviations on one side of the average for each chart (11) readjusting the x-double bar (or center line of the x-bar chart) and sigma as set out in steps (1) through (4) above and/or the R chart sigma bar (center line) and control limits as needed during the process (12) and restarting steps (5) through (12); (13) sending data from an isolated portion of said control chart to a database; (14) comparing the isolated portion to the database collection of similar segments and categorizing the same; (15) matching said categorized portions to accepted treatments and diagnosis, (16) grouping such sets of treatments and diagnosis with the corresponding portions sent by the user and (19) displaying on the screen in response to a request from the user the accepted options as to diagnosis and treatment.

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First Claim