Electrical Computing Devices for Quantification of Differences in Medical Treatment Populations
One disclosed method includes receiving electronic health records (EHRs) associated with a first set of patients for a clinical trial of a health intervention; receiving electronic records representing profiles of patients likely to benefit from the health intervention; determining a first statistic for a first characteristic of the first set of patients and a second statistic for a second characteristic of the patients likely to benefit from the health intervention; and determining a gap in the first set of patients based on the first statistic and the second statistic.
1 . A method comprising:
receiving, by one or more electronic computing devices, electronic health records (EHRs) associated with a first set of patients for a clinical trial of a health intervention;
receiving, by one of the electronic computing devices, electronic records representing profiles of patients likely to benefit from the health intervention;
determining, by one of the electronic computing devices, a first statistic for a first characteristic of the first set of patients and a second statistic for a second characteristic of the patients likely to benefit from the health intervention; and
determining, by one of the electronic computing devices, a gap in the first set of patients based on the first statistic and the second statistic.
2 . The method of claim 1 , wherein the determining the first statistic for the first characteristic of the first set of patients comprises determining a plurality of statistics for a plurality of characteristics of the first set of patients.
3 . The method of claim 1 , wherein the determining the second statistic for the second characteristic of the patients likely to benefit from the health intervention comprises determining a plurality of statistics for a plurality of characteristics of the patients likely to benefit from the health intervention.
4 . The method of claim 1 , further comprising:
determining a set of first statistics for the first set of patients;
determining a set of second statistics for the patients likely to benefit from the health intervention; and
determining a plurality of gaps in the first set of patients based on the set of first statistics and the set of second statistics.
5 . The method of claim 1 , wherein the characteristic of the first set of patients and the corresponding characteristic of the patients likely to benefit from the health intervention comprises an age or an age range.
6 . The method of claim 1 , further comprising identifying one or more additional patients to be included in the first set of patients based on the gap.
7 . The method of claim 1 , further comprising displaying a representation of the gap.