Physician Practice Optimization Tracking

• US 20100191563A1
• Filed: 01/25/2010
• Published: 07/29/2010
• Est. Priority Date: 01/23/2009
• Status: Abandoned Application

• Current Assignee: Doctors Administrative Solutions
• Original Assignee: Doctors Administrative Solutions
• Inventors: Patanow, Amanda Edenfield, Schlaifer, David A., Auderer, Cary J.
• Application Number:
  US12/692,806
• Publication Number:
  US 20100191563A1
• Time in Patent Office: Days
• US Class Current: 705/7.36
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• 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 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A computer-implemented method for tracking of clinical, demographic, financial and service metrics within a physician practice and comparing such metrics to other physician practices comprising: running a data collection service in the background on at least two separate physician practice modules wherein the data collection service collects data from the particular module on which it is running; establishing a communication mechanism between each data collection service and a host module; at the host module, collecting the data from the data collection services by transmitting the data from the data collection services via the communication mechanism to the host module; storing the data in the host module; comparing the data in the host module against best practices data stored in the host module wherein for each of a predetermined set of data metrics, the best practices data associated with that data metric is computed in relation to the data collected for a plurality of practices reporting that data metric; displaying to a user, via an interface, the data stored in the host module; and allowing the user to filter the data displayed wherein the user can filter the data by predetermined filter criteria comprising practice size, location, and specialty.

Claims

1. A computer-implemented method for tracking of clinical, demographic, financial and service metrics within a physician practice and comparing such metrics to other physician practices comprising:

running a plurality of data collection services on separate physician practice modules wherein each data collection service collects data metrics from the particular physician practice module on which it is running;

establishing a communication mechanism between each data collection service and a host module;

at the host module, collecting the data metrics from the plurality of data collection services by transmitting the data metrics from the data collection services via the communication mechanism to the host module;

storing the data metrics in the host module;

computing in the host module best practices data in relation to the data metrics collected for a predetermined set of data metrics;

comparing the data metrics in the host module against best practices data computed in the host module;

displaying to a user, via an interface, the data metrics and best practices data stored in the host module; and

allowing the user to filter the data metrics displayed wherein the user can filter the data metrics by predetermined filter criteria comprising practice size, location, and specialty.

2. The method of claim 1 wherein the best practices data is computed as a percentage of that data metric collected from a plurality of practices reporting that data metric.

3. The method of claim 2 wherein the percentage is a predetermined percentage.

4. The method of claim 2 wherein the percentage is a dynamically-computed percentage.

5. The method of claim 1 wherein the best practices data is computed in relation to the data collected for all practices reporting that data metric.

6. The method of claim 1 wherein the data metric comprises financial information, medical claims information, and scheduling information.

7. The method of claim 6 wherein the financial information comprises accounts receivable aging information.

8. The method of claim 6 wherein the financial information comprises daily charges per provider information.

9. The method of claim 6 wherein the financial information comprises charges per claim information.

10. The method of claim 6 wherein the financial information comprises charge lag days information.

11. The method of claim 6 wherein the scheduling information comprises appointments kept information.

12. A computer-implemented apparatus for tracking of clinical, demographic, financial and service metrics within a physician practice and comparing such metrics to other physician practices comprising:

at least two data collection modules each configured to run a data collection service in the background on at least two separate physician practice modules wherein the data collection service collects data from the particular module on which it is running;

a host module wherein the host module is configured to collect data from the data collection modules by receiving;

a communication path between the host module and the first data collection module;

a communication path between the host module and the second data collection module;

wherein the host module is configured to collect and store data from the data collection modules by receiving data via the communication paths and configured to compare the data in the host module against best practices data stored in the host module wherein for each of a predetermined set of data metrics, the best practices data associated with that data metric is computed in relation to the data collected for a plurality of practices reporting that data metric; and

a display interconnected with the host module wherein the display permits a user to view the data stored in the host module.

13. The apparatus of claim 12 wherein the display is a web page.

14. The apparatus of claim 12 wherein a communication path is the Internet.

15. A physician practice management apparatus comprising:

a plurality of data collection modules for collecting a plurality of data metrics;

a host module interconnected with the plurality of data collection modules; and

a display module configured to display the data metrics collected by the host module from the data collection modules whereby the data metrics are compared to best practices metrics whereby each data metric has an associated best practices metric.

16. The apparatus of claim 15 wherein the best practice metric is calculated as a mean of all collected values for the associated data metric.

17. The apparatus of claim 15 wherein the best practice metric is calculated as a median of all collected values for the associated data metric.

18. The apparatus of claim 15 wherein the best practice metric is calculated as a predetermined percentage of all collected values for the associated data metric.

19. The apparatus of claim 15 wherein the best practice metric is calculated as a dynamically computed percentage of all collected values for the associated data metric.

20. The apparatus of claim 15 wherein the display is presented via a web page.