PATIENT STORM TRACKER AND VISUALIZATION PROCESSOR

• US 20140176558A1
• Filed: 02/28/2014
• Published: 06/26/2014
• Est. Priority Date: 11/14/2012
• Status: Active Grant

• Current Assignee: Lawrence A. Lynn
• Original Assignee: Lawrence A. Lynn
• Inventors: Lynn, Lawrence A., Hunt, Michael, Karasinir, Cihan, Lynn, Eric N., Podorozhansky, Andrey
• Granted Patent: US 10,354,429 B2
• Time in Patent Office: Days
• US Class Current: 345/440.2
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06T 13/60 of natural phenomena, e.g. rain, snow, water or plants
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• 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 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A patient monitoring system is described herein. In one example, the patient monitoring system comprises at least one processor programmed to generate an image which displays a patient condition as color weather radar on a map. In some examples, at least one monitored condition is positioned on the map so that the weather image expands, develops or moves over the condition.

Claims

1. A patient monitoring system comprising at least one processor programmed to:

receive medical data relating to a clinical condition;

generate a first motion image responsive to the medical data, the first motion image displaying the clinical condition in a display configured to appear to a user as similar to a storm on a color weather radar map and wherein animation of the clinical condition over time is generated by the processor as a series of images of increasing time to display a moving picture of the clinical condition, wherein the map is divided into sections that represent clinically differentiated regions; and

generate a second motion image which displays the same clinical condition shown in the first motion image as a second image along a time axis, the second motion image growing along the time axis over time, so that the position of a static image along the first motion image at a single point or segment in time can be identified on the second motion image along the time axis so that the relationship and position of the static image in the first motion image to the second motion image is readily viewed.

2. The patient monitoring system of claim 1, wherein the processor is programmed to provide a time-lapsed image of the clinical condition, the first motion image and the second motion image being time linked so that the first motion image and the second motion image evolve over time simultaneously.

3. The patient monitoring system of claim 1, wherein treatment events are positioned along the time axis of the second motion image.

4. The patient monitoring of claim 1, wherein a trellis display of at least two patients is displayed.

5. The patient monitoring system as in claim 4 in which the trellis display is sorted by characteristics of the storm.

6. The patient monitoring system as in claim 1 wherein a histogram is generated adjacent the first motion image and static images of the condition are viewable by selecting points in time on the histogram.

7. The patient monitoring system as in claim 1 in which the second motion image is shown with relationship to patient treatment events.

8. The patient monitoring system as in claim 1 in which specific simultaneous times of the first and second motion images are viewable by selecting said times.

9. The patient monitoring system of claim 1 wherein the clinical condition is sepsis.

10. A patient monitoring system comprising at least one processor programmed to generate an image which displays a clinical condition in a display configured to appear to a user as similar to a storm on a color weather radar display map and wherein a time-lapsable animation of a patient state over time is generated by the processor as a series of images of increasing time to display a moving picture of the clinical condition wherein the map is divided into sections that represent clinically differentiated regions and wherein at least one possible future state of the clinical condition is determined and presented on the display as a potential storm path.

11. The patient monitoring system of claim 10, wherein the clinical condition is sepsis.

12. The patient monitoring system as in claim 10, wherein the potential storm path is shown on the map along with a determined level of probability.

13. The patient monitoring system of claim 10, wherein the image comprises a two dimensional user-facing map and wherein time extends along an axis away from the user facing map so that each user-facing image on the two dimensional user-facing map comprises a segment of time along the image of the condition such that the map may be scrolled forward or backward over time to view different two dimensional images of the condition at different segments of time of the condition.

14. The patient monitoring system of claim 12, wherein the clinical condition is sepsis.

15. The patient monitoring system of claim 12, wherein a second image is generated comprising a second two dimensional user-facing map wherein time extends along one axis of the two dimensional map so that an image on the second two dimensional user-facing map can extend over the entire duration of the clinical condition.

16. The patient monitoring system of claim 10, wherein the image is a three dimensional user-facing map and wherein time extends along an axis away from the user facing map so that each user-facing image on the two dimensional user-facing map comprises a segment of time along the image of the condition such that the map may be scrolled forward or backward over time with the three dimensional image of the condition moving toward the two dimensional user-facing map when the image is scrolled forward over time.