SYSTEMS AND METHODS FOR PATIENT SCHEDULING AND RECORD HANDLING

• US 20090177489A1
• Filed: 01/07/2009
• Published: 07/09/2009
• Est. Priority Date: 01/07/2008
• Status: Abandoned Application

• Current Assignee: Noel J. Guillama
• Original Assignee: Quantum Group Inc.
• Inventors: Martinez, Pedro, Guillama, Noel
• Application Number:
  US12/349,738
• Publication Number:
  US 20090177489A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06Q 20/102 Bill distribution or payments
• 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

Abstract

A computer automated tool is provided, the tool being designed to coordinate the complex processes of patient scheduling and record handling. The tool and supporting methods intelligently input, correlate, notify and link schedules to medical records and patient-specific scheduling behavior.

Claims

1. A computer-based system for patient scheduling and record handling, the system comprising:

at least one electronic data processor;

a network interface connected with the processor for communicatively linking the processor with at least one database for storing electronic data; and

a scheduling module configured to execute on the processor for providing two-way scheduling for a patient and a healthcare provider.

2. The system of claim 1, wherein the scheduling module is further configured to perform at least one among receiving and recording patient data supplied via the network interface, canceling a scheduled activity in response to input from the patient or healthcare provider, and to modify a scheduled activity in response to input from the patient or healthcare provider.

3. The system of claim 2, wherein the scheduling module is further configured to optimize scheduling of multiple activities for multiple patients based on inputs received from the multiple patients, the optimization being performed subject to preference constraints set by at least one healthcare provider.

4. The system of claim 2, wherein the scheduling module is further configured to receive scheduling preferences from at least one patient or at least one healthcare provider and perform the optimization subject to the received scheduling preferences.

5. The system of claim 1, wherein the scheduling module is further configured to link via the network interface to the at least one database for obtaining patient-specific records stored thereon in response to scheduling an activity for at least one patient associated with the patient-specific records.

6. The system of claim 5, wherein the patient-specific records comprise a cancellation or schedule adherence history of the at least one patient.

7. The system of claim 6, wherein the scheduling module is further configured to provide a schedule rating corresponding to the at least one patient based upon the cancellation or schedule adherence history of the at least one patient.

8. The system of claim 5, wherein the patient-specific records comprise a payment record corresponding to the at least one patient.

9. The system of claim 1, wherein the scheduling module is further configured to relate a scheduled activity for the patient to cash flow based upon a method of payment by the patient.

10. The system of claim 1, wherein the scheduling module is further configured to provide patient-specific profiles correlating treatment interaction type with forms of payment and to optimize scheduling for the healthcare provider based upon the correlation.

11. The system of claim 1, wherein the scheduling module is further configured to link scheduled activities for a patient with related services.

12. The system of claim 11, wherein the related services comprise at least one among a medical diagnostic procedure and a medical treatment.

13. A computer-based method of patient scheduling and record handling, the method comprising:

providing a patient access to an electronically stored schedule corresponding to a healthcare provider;

determining a time to schedule the patient for a patient-requested activity, wherein the determination is made by performing an optimization procedure subject to at least one constraint specified by the patient or the healthcare provider; and

confirming the schedule to the patient.

14. The method of claim 13, further comprising storing in an electronic database at least one of a patient-specified scheduling preference and a healthcare provider preference.

15. The method of claim 13, further comprising revising the time to schedule the patient for a patient-requested activity and notifying at least one of the patient and the healthcare provider of the revision.

16. The method of claim 13, further comprising automatically notifying at least one of the patient and the healthcare provider of a scheduled activity in advance of the time the activity is scheduled.

17. The method of claim 13, further comprising linking the patient to at least one of a patient payment history and a payment record in advance of determining the time.

18. The method of claim 13, further comprising subsequently correlating the time to an additional activity, wherein the additional activity comprises at least one among a medical diagnostic procedure and a medical treatment

19. The method of claim 13, generating at least one analysis and corresponding report based upon scheduling activity.

20. The method of claim 19, wherein the analysis and corresponding report provide a projection of scheduling trends.