Clinical acceptance tool

• US 8,608,657 B2
• Filed: 05/31/2011
• Issued: 12/17/2013
• Est. Priority Date: 05/31/2011
• Status: Active Grant

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Pinto, Yu Jung, Eliasson, Tracy, Johnson, Corinne, Lund, Greg, Hansen, Bryan
• Primary Examiner(s): Pauls, John
• Assistant Examiner(s): TIEDEMAN, JASON S
• Application Number:
  US13/149,731
• Publication Number:
  US 20120310059A1
• Time in Patent Office: 931 Days
• Field of Search: 705/2
• US Class Current: 600/301
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Provided herein are methods and apparatuses for facilitating clinical acceptance of patient monitoring features. These methods may be used in conjunction with a computer that includes software for viewing the type of display associated with the monitoring feature. The clinical acceptance systems as provided herein may display a new or experimental monitoring feature along with a benchmark feature that a clinician is familiar with. In certain embodiments, the viewing tool may be isolated from the calculation tools so that the computer may include stored files that are in a format ready for display.

Claims

1. A system, comprising:

a processor configured to execute instructions for;

receiving a first data set from a medical monitor, wherein the first data set comprises data representing a physiological parameter from a patient over a predetermined time period at a first sampling rate;

receiving a second data set from a second monitor, wherein the second data set comprises data representing the physiological parameter from the patient over the predetermined time period at a second sampling rate, wherein the second sampling rate is different from the first sampling rate;

resampling the first data set at the second sampling rate to generate a first resampled data set;

determining a first trend of the value of the physiological parameter over the predetermined time period based on the first resampled data set using a first algorithm;

determining a second trend of the value of the physiological parameter over the predetermined time period based on the second data set using a second algorithm; and

generating a first output comprising the first trend of the physiological parameter determined based on the first resampled data set and a second output comprising the second trend of the physiological parameter determined based on the second data set.

2. The system of claim 1, wherein the physiological parameter comprises respiration rate.

3. The system of claim 1, wherein the physiological parameter comprises a respiratory rate trend.

4. The system of claim 1, wherein the first data set comprises data collected by a photoplethysmography sensor.

5. The system of claim 4, wherein the photoplethysmography sensor comprises a pulse oximetry sensor.

6. The system of claim 1, wherein the second data set comprises data collected by a carbon dioxide sensor.

7. The system of claim 1, wherein the second algorithm determines the physiological parameter based on an end-tidal carbon dioxide concentration.

8. The system of claim 1, wherein the first sampling rate is lower than the second sampling rate.

9. The system of claim 1, comprising providing the first output and the second output to a computer capable of displaying the first output and the second output.

10. The system of claim 9, wherein the computer does not include instructions for executing the first algorithm or the second algorithm.

11. The system of claim 1, wherein the first algorithm or the second algorithm comprises an experimental algorithm.

12. The system of claim 11, wherein the first algorithm comprises the experimental algorithm and the second algorithm comprises a benchmark algorithm.

13. The system of claim 1, wherein one or both of the first data set and the second data set comprise a simulated data set.

14. The system of claim 1, wherein the first data set comprises data collected by a first type of medical sensor and wherein the second data set comprises data collected by a second type of medical sensor, wherein the first type of medical sensor is different than the second type of medical sensor.

15. A system, comprising:

a processor configured to execute instructions for;

receiving a first data set from a medical monitor, wherein the first data set comprises data representing a physiological parameter from a patient over a predetermined time period at a first sampling rate;

receiving a second data set from a second monitor, wherein the second data set comprises data representing the physiological parameter from the patient over the predetermined time period at a second sampling rate, wherein the second sampling rate is different from the first sampling rate;

resampling the first data set and the second data set at a third sampling rate different from the first sampling rate and the second sampling rate to generate a first resampled data set and a second resampled data set;

determining a first trend of the value of the physiological parameter over the predetermined time period based on the first resampled data set using a first algorithm;

determining a second trend of the value of the physiological parameter over the predetermined time period based on the second resampled data set using a second algorithm; and

generating a first output comprising the first trend of the physiological parameter determined based on the first resampled data set and a second output comprising the second trend of the physiological parameter determined based on the second resampled data set.

16. The system of claim 15, wherein the first sampling rate is lower than the second sampling rate.

17. The system of claim 15, wherein the first sampling rate and the second sampling rate are higher than the third sampling rate.

18. The system of claim 15, comprising providing the first output and the second output to a computer capable of displaying the first output and the second output.

19. The system of claim 15, wherein the first algorithm or the second algorithm comprises an experimental algorithm.

20. The system of claim 15, wherein the first algorithm or the second algorithm comprises a benchmark algorithm.

21. The system of claim 15, wherein one or both of the first data set and the second data set comprise a simulated data set.