Time data analysis
AssigneeCerner Innovation, Inc.
InventorsNathan M. Vavroch, Daniel Aycock
Life of this patent
Estimating the term…
Abstract
Methods, systems, and computer-readable media are provided for analyzing amounts of time spent in medical records. Time data may be analyzed by clinician, by specialty, by location, by patient, by activity, and the like. Such analysis will provide, among other things, an insight into how much total time is spent in medical records, how the time is spent, when the time is spent, etc. By breaking down the time data it may be possible to identify modifications to reduce the amount of time spent in medical records.
Claims5
One or more computer storage media having computer-executable instructions embodied thereon that, when executed, facilitate a method of time data analysis, the method comprising:
- receiving time data for a facility representing a total amount of time spent in one or more electronic medical records (EMRs) by a plurality of clinicians;
- segmenting the time data to a per-clinician time data level such that the time data illustrates the total amount of time spent in the one or more EMRs by one or more clinicians;
- normalizing the time data to identify a normalized time data, wherein the time data is normalized by dividing the total amount of time spent in the one or more EMRs for each clinician of the one or more clinicians by a total number of patients seen by each respective clinician;
- identifying a system adoption rate for each clinician, wherein the system adoption rate is a percent value representing a percent of work being done by the clinician in the EMR;
- using the system adoption rate for each clinician, adjusting the normalized time data for each clinician, wherein the adjusting comprises:
- comparing the system adoption rate for each clinician to a 100% system adoption rate;
- upon identifying the system adoption rate is lower than 100% system adoption rate, identifying an adjusted time data value for each clinician to adjust the system adoption rate to 100%;
- and
- increasing the normalized time data for each clinician to their respective adjusted time data value;
- using the adjusting time data value for each clinician, identifying one or more clinicians associated with an adjusted time data value exceeding a predetermined threshold amount of time;
- and
- identifying one or more recommendations to modify the adjusted time data value for each clinician associated with the adjusted time data value exceeding a predetermined threshold amount of time.
Dependencies are inferred from the claim text.