Back to results
US 10,872,385 B2Granted
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.
Claims20
A computer system, the system comprising:
- one or more processors;
- and
- one or more computer storage media having computer-executable instructions embodied thereon that, when executed by the one or more processors, cause the one or more processors to:
- receive 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;
- segment 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;
- normalize 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;
- identify 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, adjust 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, identify one or more clinicians associated with an adjusted time data value exceeding a predetermined threshold amount of time;
- and
- utilizing the per-clinician time data obtained over a predetermined period of time, creating a predicted pathway for a first clinician, the predicted pathway automatically redirecting a default starting view associated with opening the one or more EMRs from a first view to a second view without navigating from the first view to the second view, wherein the first clinician has navigated from the first view of the one or more EMRs to a second view of the one or more EMRs a number of times greater than a predetermined threshold.
12 more elements
A computerized method, carried out by at least one computer processing component, 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 adjusted 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
- utilizing the per-clinician time data obtained over a predetermined period of time, creating a predicted pathway for a first clinician, the predicted pathway automatically redirecting a default starting view associated with opening the one or more EMRs from a first view to a second view without having to navigate from the first view to the second view, wherein the first clinician has navigated from the first view of the one or more EMRs to a second view of the one or more EMRs a number of times greater than a predetermined threshold.
9 more elements
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 adjusted 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
- utilizing the per-clinician time data obtained over a predetermined period of time, creating a predicted pathway for a first clinician, the predicted pathway automatically redirecting a default starting view associated with opening the one or more EMRs from a first view to a second view without having to navigate from the first view to the second view, wherein the first clinician has navigated from the first view of the one or more EMRs to a second view of the one or more EMRs a number of times greater than a predetermined threshold.
9 more elements
Dependencies are inferred from the claim text.