Abstract: A system for improving hospital patient care by generating a Health Score. The system includes an interface module for receiving incoming medical data from a patient, a transformation module for transforming each of the medical datum into a transformed Health Score value, and a combination module for combining the transformed Health Score values corresponding to each of the medical datum into a single Health Score. A presentation and comparison module displays the Health Score as a Health Score plot over a predetermined time frame, such that a user may identify health trends in a patient by evaluating said Health Score plot.
Abstract: A system and method for providing an indicator of a patient's health. The system may include a data module receiving data relating to a patient's health, the data including subjective data, a conversion module generating an output from the data, the output representing the patient's health, and a display module displaying the output and a standard output for a user to compare with the output. A method of providing a customizable system for generating an indicator of a patient's health, the method including providing a system including a data module, a conversion module generating an output via a first algorithm, and a display module displaying the output and a standard output generated by a second algorithm, and customizing at least one of the first and second algorithms according to preferences of a user.
Type:
Grant
Filed:
January 23, 2012
Date of Patent:
March 26, 2013
Assignee:
PeraHealth, Inc.
Inventors:
Michael J. Rothman, Steven I. Rothman, Daniel B. Rothman
Abstract: Methods of assessing risk based on medical data are disclosed herein. In an embodiment, a method of assessing risk associated with medical data includes creating a dataset representing a plurality of patients, the dataset comprising (x,y) pairs for each patient, wherein x represents the medical data collected at a first time, and wherein y is an outcome measurement collected at a second time; binning the (x,y) pairs to form a plurality of binned data sets; computing an average value for x and an average value for y for each binned data set; determining a minimum average value of y based on all of the average values of y; subtracting the minimum average value of y from each average value of y to get a new average value of y for each binned data set; and deriving a function for assessing risk associated with the medical data.