Management of information flow and workflow in medical procedures

• US 8,249,891 B2
• Filed: 12/13/2010
• Issued: 08/21/2012
• Est. Priority Date: 05/10/2002
• Status: Expired due to Fees

• Current Assignee: Michael Y. Shen
• Original Assignee: Michael Y. Shen
• Inventors: Shen, Michael Y.
• Primary Examiner(s): Morgan, Robert
• Assistant Examiner(s): Sorey, Robert
• Application Number:
  US12/966,290
• Publication Number:
  US 20110225001A1
• Time in Patent Office: 617 Days
• Field of Search: 705/2
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Abstract

Managing information flow and workflow in medical imaging services includes mapping activities in medical imaging services to a set of discrete steps in a model medical imaging process. Data concerning the medical imaging services is collected and tracked using an electronic data store and a communications network. Collected data is correlated to at least one of the discrete steps in the model medical imaging process, and process metrics for performance are calculated based upon the correlated data.

Claims

1. A computer implemented method for quantitatively assessing and managing the performance of a workflow process and an information flow process of a medical procedure service process, the method comprising:

creating, by the computer, a model including activities related to the workflow process and information flow process of the medical procedure service process, the workflow process and information flow process of the medical procedure service process including a pre-procedure phase, a procedure phase, and a post-procedure phase;

wherein the pre-procedure phase includes discrete steps that correspond to validation activities from the workflow process with standardization activities from the information flow process, and procedure and indication activities from the workflow process with dissemination activities from the information flow process;

wherein the procedure phase includes discrete steps that correspond to ordering activities from the workflow process with access activities from the information flow process, and reporting activities from the workflow process with distribution activities from the information flow process;

wherein the post-procedure phase includes discrete steps that correspond to follow-up activities from the workflow process with adoption activities from the information flow process;

mapping, by the computer, the activities of the medical procedure service process model to the corresponding discrete steps of the workflow process and information flow process of the pre-procedure phase, procedure phase, and post-procedure phase;

receiving, by the computer, data generated for the activities performed during the discrete steps of each phase of the workflow process and information flow process by a plurality of patients participating in the medical procedure service process;

receiving, by the computer, one or more known medical procedure guidelines for comparison with the received patient-related data generated during performance of the activities related to the workflow process and information flow process of the medical procedure service process;

calculating, by the computer, statistically based workflow metrics for the entire medical procedure service process model using the received data generated during performance of the mapped activities, wherein the workflow metrics are calculated as a ratio of the total number of a particular occurrence per the total number of results in the sample or the time taken to arrive at a particular occurrence, the workflow metrics including validation activities, indication activities, ordering activities, reporting activities, and follow-up activities;

calculating, by the computer, statistically based information flow metrics for the entire medical procedure service process model using the received data generated during performance of the mapped activities, wherein the information flow metrics are calculated as a ratio of the total number of a particular occurrence per the total number of results in the sample or the time taken to arrive at a particular occurrence, the information flow metrics including, in terms of efficiency and accuracy, standardization activities, dissemination activities, access activities, distribution activities, and adoption activities; and

generating, by the computer, a user interface including a performance analysis of the activities in the mapped phases of the workflow process and information flow process based on one or more of the workflow metrics, information flow metrics, and received data generated in the performance of the mapped activities.

2. The computer implemented method of claim 1 further comprising generating analysis metrics based on an integration of different users of the communications network, different tests and results, and the process metrics to enable a comprehensive analysis of different aspects of the medical procedure service process.

3. The computer implemented method of claim 2 wherein the analysis metrics include local practice analysis metrics and further comprising developing of local database system to measure and track the degree of standard implementation, the difference of patients and practice between national and local populations, and refinement of local standardization.

4. The method as in claim 3 wherein the local practice analysis metrics include metrics for use in measuring and tracking the degree of implementing national standards and guidelines for quality control, improve insurance reimbursement and monitoring legal protection.

5. The method as in claim 3 wherein the local practice analysis metrics include metrics to define the difference of patients and practice between national and local levels for patient population characteristics in disease development, progress and response to treatment as well as patient reception to new technologies and treatment.

6. The method as in claim 3 wherein the local practice analysis metrics include metrics to define the difference of practice between national and local level to identify local practice variation from national criteria and standards in diagnosis and diagnostic accuracies to redefine local standards in local practice or recommend new local practice criteria.

7. The computer implemented method of claim 1 further comprising:

determining, by the computer, procedure utilization including at least one of underutilization and over utilization.

8. The computer implemented method of claim 7 wherein said generating step generates a user interface including a performance analysis of the activities in the mapped phases of the workflow process and information flow process based on one or more of the workflow metrics, information flow metrics, procedure utilization, outcome metrics, and received data generated in the performance of the mapped activities.

9. The computer implemented method of claim 8 wherein the performance analysis indicates efficiency of at least one of procedure utilization, outcome metrics, workflow metrics and information flow metrics.

10. The computer implemented method of claim 8 wherein the performance analysis indicates accuracy of at least one of procedure utilization, outcome metrics, workflow metrics and information flow metrics compared to a procedure guideline.

11. The method of claim 1 further comprising:

determining, by the computer, outcome metrics for the plurality of patients using the received data generated in the performance of the mapped activities, the outcome metrics including one or more of diagnostic outcomes, clinical outcomes, service outcomes, and financial outcomes;

wherein the diagnostic outcome metrics summarize at least utilization, test accuracy, and clinical correlation related of the medical procedure guideline;

wherein the clinical outcome metrics summarize at least event rates, symptoms, and testing indexes related to the medical procedure guideline;

wherein the service outcome metrics summarize at least procedures, referrals, and satisfaction related to the medical procedure guideline;

wherein the financial outcome metrics summarize at least reimbursed totals and averages, inadequate reimbursement, costs, and cost-benefits related to the medical imaging service guideline.

12. The method of claim 11 further wherein said generating step generates a user interface including a performance analysis of the activities in the mapped phases of the workflow process and information flow process based on one or more of the workflow metrics, information flow metrics, outcome metrics, and received data generated in the performance of the mapped activities.

13. The computer implemented method of claim 1 further comprising determining, by the computer, referral metrics including at least one of referral source, procedure volume, performance of procedure referral compared to procedure guidelines, and performance of potential procedure referral as compared to procedure guidelines.

14. The computer implemented method of claim 1 further comprising:

determining, by the computer, referral analysis metrics and further comprising identifying referral patterns of referral physicians in relation to patients, tests, referral analysis metrics and process and outcome metrics.

15. The computer implemented method of claim 1 further comprising determining, by the computer, behavior analysis metrics and wherein said performance analysis evaluates behavior patterns of at least one of referral physicians, medical procedure providers, and patients compared to standards and outcomes in the model medical procedure service process over a period of time.

16. The computer implemented method of claim 1 further comprising determining organizational process analysis metrics and wherein said performance analysis identifies one or more steps in the entire process for improvement in organizational performance for different outcomes using the organizational process analysis metrics.