Computer system and method for delivering operational intelligence for ambulatory team based care and virtual medicine

• US 10,128,000 B1
• Filed: 04/20/2012
• Issued: 11/13/2018
• Est. Priority Date: 04/19/2012
• Status: Active Grant

• Current Assignee: Kaiser Foundation Hospitals (Kaiser Permanente Inc.)
• Original Assignee: Kaiser Foundation Hospitals (Kaiser Permanente Inc.)
• Inventors: Zhou, Yi, Henderson, Daniel P.
• Primary Examiner(s): Lam, Eliza A
• Application Number:
  US13/452,742
• Time in Patent Office: 2,398 Days
• Field of Search: 705 2- 3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Various structures and methods are disclosed related to a computer system for delivering data for operational intelligence in support of optimizing health care delivery. Particular embodiments selectively extract various data sets for operational support from a large electronic medical record (“EMR”) system on schedules of varying frequency to efficiently refresh data during the operational day. Other embodiments enhance EMR extract data using other computerized data sources and/or computer analysis of the EMR data. Other embodiments provide efficient data delivery for operational intelligence to optimize integrated, team-based health care delivery as well virtual medicine and transitional care. These and other embodiments are further disclosed herein.

Claims

1. A computer implemented method for providing health care delivery optimization data to an end user device, the method comprising:

extracting, using a plurality of predetermined extraction frequencies, a plurality of health care delivery data sets from one or more computerized data source systems stored on one or more first computers, the plurality of health care delivery data sets including (i) a first data set including provider data and support staff data, (ii) a second data set including current day visits data related to current day patient visits, the patient visits including data relating a provider and at least one of a department and a facility to a patient visit, (iii) a third data set including historical visits data related to patient visits completed in a previous particular time frame, and (iv) one or more additional data sets including patient communications data related to at least one of patient calls and patient emails and the one or more additional data sets further including future appointments data related to patient appointments in a future particular time frame, wherein the first data set is extracted at a predetermined first extraction frequency, the second data set is extracted at a predetermined second extraction frequency, the third data set is extracted at a predetermined third extraction frequency, and at least one of the one or more additional data sets is extracted at a predetermined fourth extraction frequency, the predetermined second extraction frequency being greater than the predetermined first and third extraction frequencies and being greater than once per hour, the predetermined fourth extraction frequency being greater than once per day but less than the predetermined second extraction frequency; and

the predetermined first and third extraction frequencies being less than the predetermined fourth extraction frequency;

receiving and storing, at frequencies corresponding to the predetermined plurality of extraction frequencies, each of the extracted data sets on one or more second computers separate from the one or more first computers; and

sending displayable data obtained from the extracted data sets on the one or more second computers to the end user device and causing the displayable data to be displayed on the end user device in response to a user request.

2. The method of claim 1 further comprising:

assigning, using the one or more computers, a dyad relationship between a provider and a support staff person using the historical visits data, wherein at least some of the historical visits data includes data regarding a support staff person performing tasks during a visit; and

using the one or more computers to use a dyad relationship to associate a support staff person with a current day visit record when the current day visit record includes a provider but does not already include an associated support staff person.

3. The method of claim 1 further comprising:

assigning, using the one or more computers, a dyad relationship between a provider and a support staff person using the historical visits data, wherein at least some of the historical visits data includes data regarding a support staff person performing tasks during a visit;

assigning, using the one or more computers, a home facility/department to a support staff person based on a home facility/department of a provider linked in a dyad relationship to the support staff person (“

the support staff person'"'"'s assigned home facility/department”

); and

associating for display at an end user device, using the one or more computers, the support staff person'"'"'s assigned home facility/department with patient communications data that include a patient communication assigned to the support staff person such that displayable data for the end user device regarding communications that include the patient communication indicates an association between the communications and the support staff person'"'"'s assigned home facility/department.

4. The method of claim 1, wherein the patient communications data includes emails initiated by the patient.

5. The method of claim 1, wherein the patient communications data includes phone calls initiated by the patient.

6. The method of claim 3, wherein the patient communications data includes emails initiated by the patient.

7. The method of claim 3, wherein the patient communications data includes phone calls initiated by the patient.

13. The computer-implemented method of claim 1 wherein the predetermined first and third extraction frequencies are equal.

14. The computer-implemented method of claim 1 wherein the one or more computerized data source systems stored on one or more first computers include electronic medical records for at least 50,000 different patients.

8. A health care support staff management optimization system comprising:

a computer implemented user interface engine communicatively coupled to a data mart on one or more data mart computers separate from one or more first computers and configured to send health care delivery data from the data mart for display by a computerized graphical user interface on an end-user device in response to a request from the end-user device, wherein the health care delivery data includes at least provider data, support staff data, and visits data, the visits data comprising current day visits data and historical visits data;

a computer implemented extraction engine configured to extract, using a plurality of predetermined extraction frequencies, a plurality of health care delivery data sets from one or more computerized data source systems stored on the one or more first computers, the plurality of health care delivery data sets including (i) a first data set including provider data and support staff data, (ii) a second data set including current day visits data related to current day patient visits, the patient visits including data relating a provider and at least one of a department and a facility to a patient visit, (iii) a third data set including historical visits data related to patient visits completed in a previous particular time frame, and (iv) one or more additional data sets including patient communications data related to at least one of patient calls and patient emails and the one or more additional data sets further including future appointments data related to patient appointments in a future particular time frame, wherein the first data set is extracted at a predetermined first extraction frequency, the second data set is extracted at a predetermined second extraction frequency, the third data set is extracted at a predetermined third extraction frequency, and at least one of the one or more additional data sets is extracted at a predetermined fourth extraction frequency, the predetermined second extraction frequency being greater than the predetermined first and third extraction frequencies and being greater than once per hour, the predetermined fourth extraction frequency being greater than once per day but less than the predetermined second extraction frequency; and

the predetermined first and third extraction frequencies being less than the predetermined fourth extraction frequency;

a computer implemented data flow engine configured to (i) receive and store, at frequencies corresponding to the plurality of predetermined extraction frequencies, each of the extracted data sets on one or more second computers separate from the one or more first computers, and (ii) use the each of the extracted data sets to populate the data mart.

9. The system of claim 8, wherein the data flow engine is further configured to:

assign, based at least on the plurality of healthcare delivery data sets, each provider to one or more facilities and/or departments (“

assigned home facility/department”

); and

associate a provider'"'"'s assigned home facility/department with patient communications data that include a patient communication assigned to the provider;

wherein;

the plurality of health care delivery data sets further includes patient communications data and, such that;

the visits data includes historical visits data and future appointments data; and

at least some of the visits data includes, for each of a plurality of visits or appointments, a provider for the visit or appointment, and a facility/department for the visit or appointment.

10. The system of claim 9, wherein the data flow engine is further configured to:

assign, based on a dyad relationship between a provider and the support staff person based on the historical visits data, a home facility/department to the support staff person based on a home facility/department of a provider linked in the dyad relationship to the support staff person (“

the support staff person'"'"'s assigned home facility/department”

).

11. The system of claim 8, wherein the patient communications data include at least emails initiated by the patient.

12. The system of claim 8, wherein the patient communications data include at least phone calls initiated by the patient.