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Digital healthcare information management

  • US 7,801,591 B1
  • Filed: 12/20/2006
  • Issued: 09/21/2010
  • Est. Priority Date: 05/30/2000
  • Status: Expired due to Fees
First Claim
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1. A method useful in healthcare information management comprising:

  • collecting at least one primary element as a snapshot present at the time of recording of health data using at least one collection method selected from one-time, periodic, quasi-periodic and continuous monitoring, and electronically comparing said at least one primary element with at least one reference value to detect changes in said at least one primary element and thereby identify any abnormal or unstable primary element (a first-level, low-resolution analysis); and

    analyzing serial changes in said at least one primary element of health data using a dynamic serial analysis and processing unit employing at least one of the following methods selected from mathematical decomposition, mathematical modeling, computer modeling, signal processing, time-series analysis, statistical analysis, and methods of artificial intelligence for assessing changes in serial data, orthogonal decomposition, non-orthogonal decomposition (independent component analysis), multidimensional scaling based on non-metric distances and mapping techniques, non-orthogonal linear mappings, nonlinear mappings and other methods, that make use of projection, re-scaling (change of variables), methods from the theories of singularities, bifurcations, catastrophes, and dynamical systems, and other statistical estimators, linear and nonlinear correlation, analysis of variance, cluster analysis, factor analysis, canonical analysis, regression and discriminant function analyses, and probabilistic methods, Bayesian probability, Bayesian network, Markov model, hidden Markov model, and Mahalanobis distance, pattern recognition, fuzzy logic, neural networks, expert systems, and hybrid artificial intelligence systems to provide detailed characterization of serial changes in any abnormal or unstable primary element (a second-level, higher resolution serial analysis).

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