SYSTEM , METHOD AND COMPUTER PROGRAM PRODUCT FOR REAL TIME MONITORING, ASSIGNMENT AND BALANCING OF PROFESSIONAL OVERSIGHT

• US 20100001864A1
• Filed: 12/11/2008
• Published: 01/07/2010
• Est. Priority Date: 07/03/2008
• Status: Abandoned Application

• Current Assignee: Impulse Monitoring, Inc. (Nuvasive Incorporated)
• Original Assignee: Impulse Monitoring, Inc. (Nuvasive Incorporated)
• Inventors: Farrell, David, O'Brien, Richard A.
• Application Number:
  US12/332,728
• Publication Number:
  US 20100001864A1
• Time in Patent Office: Days
• US Class Current: 340/573.1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• 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 40/67 for remote operation
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A system, method and computer program product for monitoring in real time, activities of a monitoring individual during remote connection and oversight of intra-operative neurophysiologic monitoring (IONM) data from a plurality of IONM devices of at least one machine type, including receiving IONM data from at least one IONM device regarding a surgery being monitored, receiving patient data about at least one patient, storing case data in a computer database, the case data including information regarding at least one of the patient data or the IONM data, scheduling the monitoring individual to a specific surgery case based on the case data, and providing the case data to the monitoring individual.

Claims

1. A computer-implemented method of monitoring in real time, activities of a monitoring individual during remote connection and oversight of intra-operative neurophysiologic monitoring (IONM) data from a plurality of IONM devices of at least one machine type, comprising:

receiving IONM data from at least one IONM device regarding a surgery being monitored;

receiving patient data about at least one patient;

storing case data in a computer database, said case data comprising information regarding at least one of said patient data or said IONM data;

scheduling the monitoring individual to a specific surgery case based on said case data; and

providing said case data to the monitoring individual.

2. The method in claim 1, further comprising providing said case data stored in said database for analysis.

3. The method in claim 1, further comprising analyzing said case data.

4. The method of claim 1, further comprising communicating alarms generated based on said case data stored in said database.

5. The method of claim 1, further comprising communicating alarms triggered by the monitoring individual.

6. The method of claim 1, further comprising receiving or storing comments regarding said surgery made by at least one monitoring individual.

7. The method of claim 1, further comprising interactively constructing a patient record during said surgery using at least one of said patient data, said IONM data, or said case data.

8. The method of claim 1, further comprising creating a report on said surgery using said case data stored in said database.

9. The method of claim 1, further comprising verifying monitoring by the monitoring individual by measuring data collection time and activity comprising one or more of:

a connection time;

a communication interactions;

a response to one or more prompts;

or a parameter related to monitoring.

10. The method according to claim 1, wherein the monitoring individual comprises at least one of:

a technician;

a technologist;

a neurophysiologist;

one or more intraoperative personnel;

a physician;

a surgeon;

a provider;

a care giver;

a medical professional;

or an overseeing physician.

11. The method according to of claim 1, wherein said case data comprises information regarding key events identified during said surgery being monitored.

12. The method according to claim 1, wherein said case data comprises at least one of a stage of surgery or patient billing information.

13. The method according to claim 1, wherein said case data comprises at least one of a stage of surgery or patient identification information.

14. The method according to claim 1, wherein said case data comprises at least one of:

a type of IONM device;

a type of device implanted in a patient;

clinical information;

patient information;

patient identification information;

patient billing information;

billing information;

insurance information;

demographic information;

medical record data;

a surgeon name;

surgeon information;

physician information;

neurophysiologist information;

early outcome data;

preoperative data;

post-operative data;

outcome scales;

outcomes allowed;

IONM event data;

IONM event data tied to preoperative condition;

IONM event data tied to postoperative condition;

baseline data;

IONM baseline data;

anesthesiology data;

changes in anesthesiology data;

baseline anesthesiology data;

ongoing anesthesiology data;

scale preoperative data;

scale postoperative data;

an alarm;

a key event during the surgery comprising at least one of;

loss of signal;

anesthetic affect on data;

change in neurophysiological data suggesting patient injury;

signal recovered;

or

excessive noise;

a key point of the surgery comprising at least one of;

patient prep;

opening;

decompression of the spine;

derotation of the spine;

insertion of equipment;

surgical manipulation;

any major surgical intervention;

any significant surgical intervention;

closing;

or

case complete;

a comment made regarding the surgery;

or

other information regarding the surgery being monitored.

15. The method of claim 1, wherein said scheduling comprises assigning cases to said overseeing individual at least one of:

automatically without user interaction, by advising a user in making a selection, or semi-automatically with little user interaction.

16. The method of claim 1, wherein said scheduling comprises assigning cases based on at least one of:

number or type of active cases;

number or type of upcoming cases;

active physicians;

scheduled physicians;

physician credentials;

physician licensures;

physician consulting privileges;

geographic location of the surgery;

stage of the surgery;

key points of the surgery;

key events during the surgery;

efficiency improvement;

quality of care improvement;

compliance to legal requirements;

or

compliance to clinical requirements.

17. A computer program product embodied on a machine readable medium, said computer program product comprising logic which when executed on a processor, performs a method of monitoring in real time, activities of a monitoring individual during remote connection and oversight of intra-operative neurophysiologic monitoring (IONM) data from a plurality of IONM devices of at least one machine type, the method comprising:

receiving IONM data from at least one IONM device regarding a surgery being monitored;

receiving patient data about at least one patient;

storing case data in a computer database, said case data comprising information regarding at least one of said patient data or said IONM data;

scheduling the monitoring individual to a specific surgery case based on said case data; and

providing said case data to the monitoring individual.

18. A system for monitoring in real time, activities of a monitoring individual during remote connection and oversight of intra-operative neurophysiologic monitoring (IONM) data from a plurality of IONM devices of at least one machine type, comprising:

first means for receiving IONM data from at least one IONM device regarding a surgery being monitored;

second means for receiving patient data about at least one patient;

means for storing case data in a computer database, said case data comprising information regarding at least one of said patient data or said IONM data;

means for scheduling the monitoring individual to a specific surgery case based on said case data; and

means for providing said case data to the monitoring individual.

19. A graphical user interface (GUI) application embodied on a computer readable medium, which when executed on a processor performs a method of scheduling intra-operative neurophysiologic monitoring (IONM) cases, the method comprising:

receiving a schedule of a plurality of cases, said schedule comprising case data from a computer database, said case data comprising patient data and IONM data from at least one IONM device regarding a surgery being monitored by at least one monitoring individual; and

displaying at least a portion of said schedule to the monitoring individual.

20. The GUI according to claim 19, wherein said case data comprises at least one of:

a type of IONM device;

a type of device implanted in a patient;

clinical information;

patient information;

patient identification information;

patient billing information;

billing information;

insurance information;

demographic information;

medical record data;

a surgeon name;

surgeon information;

physician information;

neurophysiologist information;

early outcome data;

preoperative data;

post-operative data;

outcome scales;

outcomes allowed;

IONM event data;

IONM event data tied to preoperative condition;

IONM event data tied to postoperative condition;

baseline data;

IONM baseline data;

anesthesiology data;

changes in anesthesiology data;

baseline anesthesiology data;

ongoing anesthesiology data;

scale preoperative data;

scale postoperative data;

an alarm;

a key event during the surgery comprising at least one of;

loss of signal;

anesthetic affect on data;

change in neurophysiological data suggesting patient injury;

signal recovered;

or

excessive noise;

a key point of the surgery comprising at least one of;

patient prep;

opening;

decompression of the spine;

derotation of the spine;

insertion of equipment;

surgical manipulation;

any major surgical intervention;

any significant surgical intervention;

closing;

or

case complete;

a comment made regarding the surgery;

or

other information regarding the surgery being monitored.

21. The GUI according to claim 19, wherein said displaying comprises:

displaying active and inactive surgery cases to the monitoring individual.

22. The GUI according to claim 19, further comprising:

receiving information from the monitoring individual regarding the surgery being monitored.