Time data analysis
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.
1. A computerized method, carried out by at least one server having one or more processors, the method comprising:
receiving per-clinician time data, wherein the per-clinician time data represents a total amount of time spent in one or more electronic medical records (EMRs) by a clinician;
determining the amount of use of each section of an EMR over a predetermined period of time, wherein the determination comprises segmenting the per-clinician time data such that the per-clinician time data represents one or more activities performed by the clinician while in the one or more EMRs;
determining that the total amount of time spent in the one or more EMRs exceeds a predetermined threshold amount of time; and
upon receiving an indication from a user device associated with the clinician that an EMR is opened, automatically redirecting a default starting view displayed on a user interface of the user device associated with the clinician associated with opening the one or more EMRs from a first section to a second section without having to navigate from the first section to the second section, based on the determined amount of use.
2. The method of claim 1 , wherein the total amount of time spent in the one or more EMRs represents active time, wherein active time includes time spent performing one or more activities associated with an active indication having a time interval between a subsequent active indication that is no greater than a predefined time interval.
3. The method of claim 2 , wherein the active indication includes one or more of a keystroke, a mouse click, or mouse miles.
4. The method of claim 2 , wherein the active time is distinguished from inactive time using one or more timers for measuring a time interval between two or more active indications.
5. The method of claim 4 , wherein the one or more timers collect metadata including a time stamp for an activity, a description of the activity, and one or more tags for data segmentation.
6. The method of claim 5 , wherein the per-clinician time data is segmented based on one or more of area of specialty, location, clinician, patient, or activity.
7. The method of claim 5 , wherein the one or more tags include a clinician tag, a patient tag, a location tag, and an area of specialty tag.
8. The method of claim 1 , wherein the per-clinician time data is collected over a predetermined time period.
9. The method of claim 8 , wherein the predetermined time period is one day.
10. The method of claim 1 , further comprising identifying a portion of the per-clinician time data is that collected from one or more clinicians during outside hours, wherein outside hours are outside of a designated shift of hours.
11. 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 per-clinician time data, wherein the per-clinician time data represents a total amount of time spent in one or more electronic medical records (EMRs) by a clinician;
determining the amount of use of each section of an EMR over a predetermined period of time, wherein the determination comprises segmenting the per-clinician time data such that the per-clinician time data represents one or more activities performed by the clinician while in the one or more EMRs;
determining that a total amount of time spent in the one or more EMRs exceeds a predetermined threshold amount of time; and
upon receiving an indication from a user device associated with the clinician that an EMR is opened, automatically redirecting a default starting view displayed on a user interface of the user device associated with the clinician associated with opening the one or more EMRs from a first section to a second section without having to navigate from the first section to the second section, based on the determined amount of use.
12. The media of claim 11 , wherein the per-clinician time data is collected for a predetermined time period.
13. The media of claim 11 , further comprising segmenting the per-clinician time data into one or more activities performed in each patient's EMR on a per-patient basis.
14. The media of claim 13 , further comprising associating each activity of the one or more activities performed in each patient's EMR with a cost.
15. The media of claim 11 , further comprising associating each patient with a cost based on the total amount of time spent in their respective EMRs exceeding the predetermined threshold.
16. A system for facilitating time data analysis, the system comprising:
a processor configured to:
receive per-clinician time data, wherein the per-clinician time data represents a total amount of time spent in one or more Electronic Medical Records (EMRs) by a clinician;
determine the amount of use of each section of an EMR over a predetermined period of time, wherein the determination comprises segment the per-clinician time data such that the per-clinician time data represents one or more activities performed by the clinician while in the one or more EMRs;
determine that the total amount of time spent in the one or more EMRs exceeds a predetermined threshold amount of time; and
upon receiving an indication from a user device associated with the clinician that an EMR is opened, automatically redirecting a default starting view displayed on a user interface of the user device associated with the clinician associated with opening the one or more EMRs from a first section to a second section without having to navigate from the first section to the second section, based on the determined amount of use.
17. The system of claim 16 , wherein the per-clinician time data is collected for a predetermined time period.
18. The system of claim 16 , wherein the processor is further configured to segment the per-clinician time data into one or more activities performed in each patient's EMR on a per-patient basis.
19. The system of claim 16 , wherein the processor is further configured to:
receive updated time data subsequent to the creation of the predicted pathway;
compare the updated time data to the per-clinician time data; and
based on the comparison, identify one or more recommendations to modify the total amount of time spent in the one or more EMRs if the updated time data for the per-clinician time data level still exceeds the predetermined threshold amount of time.
20. The system of claim 16 , further comprising associating each clinician with a cost.