System and Method for Scheduling Medical Procedures

• US 20120173259A1
• Filed: 01/04/2011
• Published: 07/05/2012
• Est. Priority Date: 01/04/2011
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Sievenpiper, Crispian, Amberg, Paul H., Wiley, Sandra
• Application Number:
  US12/984,185
• Publication Number:
  US 20120173259A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/06314 Calendaring for a resource
• 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 50/30 for calculating health indices; for individual health risk assessment

Abstract

Present embodiments are directed to a system and method for calculating an estimated procedure time. Specifically present embodiments include systems and methods for estimating a procedure time for a patient to undergo an imaging procedure. The estimated procedure time may be calculated with a difficulty score that is used to adjust a base procedure time associated with a procedure protocol for the imaging procedure. Present embodiments are also directed to scheduling an amount of time corresponding to the estimated procedure time on a schedule.

Claims

1. A computer-assisted method, comprising:

receiving, on a computer, a difficulty score associated with a patient, wherein the difficulty score is based on patient characteristics;

receiving, on the computer, protocol data associated with a procedure the patient is being scheduled to undergo, wherein the protocol data includes a base procedure time;

calculating, with the computer, an estimated procedure time for the patient to undergo the procedure by using the difficulty score to adjust the base procedure time; and

scheduling an amount of time corresponding to the estimated procedure time on a procedure schedule.

2. The method of claim 1, comprising calculating, with the computer or a different computer, the difficulty score based on answers to a series of computer-prompted questions.

3. The method of claim 1, comprising calculating the difficulty score by incorporating a plurality of component difficulty scores associated with the patient characteristics.

4. The method of claim 1, comprising calculating the difficulty score based on a plurality of component difficulty scores that are weighted based on a type of the procedure.

5. The method of claim 1, wherein using the difficulty score comprises acquiring a multiplier from a data table based on the difficulty score and multiplying the multiplier by the base procedure time to calculate the estimated procedure time.

6. The method of claim 1, wherein calculating the estimated procedure time comprises adding a value associated with the difficulty score to the base procedure time.

7. The method of claim 1, wherein calculating the estimated procedure time comprises adjusting the base procedure time based on empirical data.

8. The method of claim 7, comprising tracking a time required for the procedure and updating the empirical data based on the time required for the procedure and the difficulty score.

9. The method of claim 1, wherein calculating the estimated procedure times comprises adjusting the base procedure time based on an algorithm incorporating empirical data, wherein the empirical data includes patient weight, patient age, identities of healthcare personnel involved in the procedure, equipment identification information, or a combination thereof.

10. The method of claim 1, comprising prompting a user to input values or answers corresponding to the patient characteristics including mobility, medical condition, cooperation, and cognitive function, and calculating the difficulty score based on the values or answers.

11. A system, comprising:

a scheduling station, wherein the scheduling station comprises;

a processor;

a memory storing a predictive calculator and a scheduler that are each configured to be activated by the processor,

wherein the predictive calculator is configured to calculate an estimated procedure time for a patient to undergo an imaging procedure based on a difficulty score assigned to the patient and based on protocol data that includes a base procedure time, and

wherein the scheduler is configured to schedule an amount of time corresponding to the estimated procedure time on a procedure schedule.

12. The system of claim 11, comprising a data entry station configured to receive input related to the difficulty score and provide the input to the scheduling station.

13. The system of claim 12, wherein the input comprises a value for the difficulty score, a plurality of component difficulty scores, or answers to questions that the scheduling station can utilize to calculate the difficulty score.

14. The system of claim 11, comprising an imaging machine configured to perform the imaging procedure and to monitor empirical data for transmission to the scheduling station for use in calculating future estimated procedure times.

15. The system of claim 11, comprising a plurality of viewing stations configured to observe and/or manipulate the procedure schedule.

16. A non-transitory, computer-readable medium, comprising code stored on the medium configured to:

calculate an estimated procedure time for a patient to undergo an imaging procedure using a difficulty score assigned to the patient based on patient characteristics, wherein the difficulty score is utilized to adjust a base procedure time associated with a procedure protocol for the imaging procedure; and

schedule an amount of time corresponding to the estimated procedure time on a schedule.

17. The non-transitory, computer-readable medium of claim 16, wherein the code stored on the medium is configured to calculate the difficulty score based on inputs related to the patient characteristics.

18. The non-transitory, computer-readable medium of claim 16, wherein the code stored on the medium is configured to prompt a user to enter a value of 0, 1, 2, 3, 4, or 5 for the difficulty score based on the patient characteristics.

19. The non-transitory, computer-readable medium of claim 16, wherein the code stored on the medium is configured to access a database stored on the medium to acquire data utilized in calculating the estimated procedure time.

20. The non-transitory, computer-readable medium of claim 16, wherein the code stored on the medium is configured to acquire empirical data from an imaging machine to update a database of empirical data stored on the medium and utilized in calculating the estimated procedure time.