Optimizing Test Procedures for a Subject Under Test
First Claim
1. A computer-implemented method of optimizing a diagnostic test sequence to diagnose a medical condition of a subject, comprising:
- determining a group of diagnostic tests related to a symptom of the subject from a pool of diagnostic tests;
conducting a probabilistic medical condition analysis determining the efficacy of each of the diagnostic tests based on historical outcomes of actual diagnostic testing;
analyzing a comparative utility of each diagnostic tests based on a plurality of factors that can affect a problem resolution;
assigning a weight to each factor involved in the probabilistic medical condition analysis;
ordering the diagnostic tests based upon at least one of;
a probability of the diagnostic test identifying a cause of the medical condition in a minimum amount of time;
a probability of the diagnostic test identifying the cause of the medical condition at a minimum cost; and
a relative weighting of minimizing time versus minimizing cost; and
selecting a first diagnostic test from the group based at least in part on the probabilistic medical condition analysis and the weighted factors involved therein.
3 Assignments
0 Petitions
Accused Products
Abstract
In a computer-implemented method of optimizing a diagnostic test sequence to diagnose a medical condition of a subject. A group of diagnostic tests related to a symptom is determined from a pool of diagnostic tests. A probabilistic failure mode analysis is conducted to determine the efficacy of each of the diagnostic tests based on historical outcomes of actual diagnostic testing. The comparative utility of each diagnostic tests based on a plurality of factors that can affect problem resolution is analyzed. A weight is assigned to each factor involved in the probabilistic failure mode analysis. The diagnostic tests are ordered based upon at least one of: a probability of the diagnostic test identifying a cause of the failure mode in a minimum amount of time; a probability of the diagnostic test identifying the cause of the failure mode at a minimum cost; and a relative weighting of minimizing time versus minimizing cost. A first diagnostic test is selected from the group based at least in part on a probabilistic failure mode analysis and the weighted factors involved therein.
34 Citations
30 Claims
-
1. A computer-implemented method of optimizing a diagnostic test sequence to diagnose a medical condition of a subject, comprising:
-
determining a group of diagnostic tests related to a symptom of the subject from a pool of diagnostic tests; conducting a probabilistic medical condition analysis determining the efficacy of each of the diagnostic tests based on historical outcomes of actual diagnostic testing; analyzing a comparative utility of each diagnostic tests based on a plurality of factors that can affect a problem resolution; assigning a weight to each factor involved in the probabilistic medical condition analysis; ordering the diagnostic tests based upon at least one of;
a probability of the diagnostic test identifying a cause of the medical condition in a minimum amount of time;
a probability of the diagnostic test identifying the cause of the medical condition at a minimum cost; and
a relative weighting of minimizing time versus minimizing cost; andselecting a first diagnostic test from the group based at least in part on the probabilistic medical condition analysis and the weighted factors involved therein. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
-
-
14. A diagnostic tool for optimizing a diagnostic test sequence to diagnose a medical condition of a subject, comprising:
-
a diagnostic test selector configured to determine a group of diagnostic tests related to a symptom of the subject from a pool of diagnostic tests; a medical condition analyzer configured to determine the efficacy of each of the diagnostic tests of the group based on historical outcomes of actual diagnostic testing via a probabilistic medical condition analysis; an analyzer configured to analyze a comparative utility of each diagnostic tests of the group based on a plurality of factors that can affect a problem resolution; a weighter configured to assign a weight to each factor involved in the probabilistic medical condition analysis; an orderer configured to order the group diagnostic tests based upon at least one of;
a probability of the diagnostic test identifying a cause of the medical condition in a minimum amount of time;
a probability of the diagnostic test identifying the cause of the medical condition at a minimum cost; and
a relative weighting of minimizing time versus minimizing cost; anda sequence optimizer configured to select a first diagnostic test from the group based at least in part on a probabilistic medical condition analysis and the weighted factors involved therein. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21)
-
-
22. A diagnostic tool for optimizing a diagnostic test sequence to diagnose a medical condition of a subject, comprising:
-
a diagnostic test selector configured to determine a group of diagnostic tests related to a symptom of the subject from a pool of diagnostic tests; a sequence optimizer configured to select a first diagnostic test from the group based at least in part on a probabilistic medical condition analysis, the probabilistic medical condition analysis being based on historical outcomes of actual diagnostic testing; a medical condition analyzer configured to quantify a comparative utility of an individual diagnostic test of the group based on a plurality of factors that can affect a problem resolution; a factor weighter configured to assign a weight to each of a plurality of probabilistic medical condition analysis factors; and a medical history receiver configured to receive a medical history of the subject, wherein the probabilistic medical condition analyzer is further configured to base the comparative utility at least in part on the medical history.
-
-
23. A computer-implemented method of optimizing a diagnostic test sequence to diagnose a medical condition of a subject, comprising:
-
determining a group of diagnostic tests related to a symptom of the subject from a pool of diagnostic tests; optimizing an order of the group of diagnostic tests, the optimization comprising; conducting a probabilistic medical condition analysis to determine the efficacy of each of the diagnostic tests of the group based on historical outcomes of actual diagnostic testing; analyzing a comparative utility of each diagnostic tests of the group based on a plurality of factors that can affect a problem resolution; assigning a weight to each factor involved in the probabilistic medical condition analysis; selecting a first diagnostic test from the group; and iteratively optimizing the order of the group of diagnostic tests in response to prompting by an intermediate diagnostic test information being received. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30)
-
Specification