# US 10,555,675 B2 · Method for projecting blood loss of a patient during a surgery

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- Number: US 10,555,675 B2
- Document ID: US10555675B2
- Status: Granted
- Kind: B2
- Application number: 15/154,921
- Filed: 2016-05-13
- Published: 2016-11-17
- Granted: 2020-02-11
- Earliest claimed: 2015-05-15
- Assignees: Gauss Surgical, Inc.
- Applicants: Gauss Surgical, Inc.
- Inventors: Siddarth Satish; Kevin Miller; Titas De
- Web page: https://patentgrep.com/patent/US10555675B2

## CPC

- A61B 5/02042: {Determining blood loss or bleeding, e.g. during a surgical procedure}
- A61B 5/0077: {Devices for viewing the surface of the body, e.g. camera, magnifying lens}
- A61B 5/14546: {for measuring analytes not otherwise provided for, e.g. ions, cytochromes}
- A61B 5/1455: using optical sensors, e.g. spectral photometrical oximeters
- A61B 90/361: {Image-producing devices, e.g. surgical cameras}
- G06T 7/0012: {Biomedical image inspection}
- G16H 20/40: relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
- G16H 40/63: for local operation
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- A61B 5/7445: {Display arrangements, e.g. multiple display units}
- A61B 2576/00: Medical imaging apparatus involving image processing or analysis (A61B1/00009, A61B6/52 and A61B8/52 take precedence)
- G06T 2207/30004: Biomedical image processing
- G06T 2207/30024: Cell structures in vitro; Tissue sections in vitro
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

Systems for monitoring blood loss include a display for simultaneously depicting a current blood loss metric at different time points or along a time line. In addition, historical or comparative blood loss information is provided on the display so that the healthcare provider can see assess the current blood loss metric relative to other metrics, so that the healthcare provider can more accurately assess and manage the patient's status.

## Claims

### Claim 1

A method of monitoring a patient in a medical procedure, comprising:
at one or more processors:
estimating real-time blood loss of the patient;
selecting at least one reference blood loss data set corresponding to a reference medical procedure;
estimating future blood loss of the patient based at least partially on the estimated real-time blood loss and the at least one reference blood loss data set; and
providing an indication of the estimated future blood loss of the patient on a display associated with the one or more processors.

### Claim 2 (depends on 1)

The method of claim 1, wherein selecting at least one reference blood loss data set comprises selecting at least one reference blood loss data set from a database of prior medical procedures.

### Claim 3 (depends on 1)

The method of claim 1, wherein the indication of estimated real-time blood loss and the estimated future blood loss are displayed simultaneously on a monitor screen.

### Claim 4 (depends on 1)

The method of claim 1, further comprising displaying the estimated real-time blood loss and the indication of estimated future blood loss on a two-dimensional plot.

### Claim 5 (depends on 4)

The method of claim 4, wherein the two-dimensional plot depicts estimated blood loss over time.

### Claim 6 (depends on 4)

The method of claim 4, further comprising displaying the at least one reference blood loss data set on the two-dimensional plot.

### Claim 7 (depends on 6)

The method of claim 6, wherein displaying the at least one reference blood loss data set comprises displaying at least one blood loss tracing over time.

### Claim 8 (depends on 7)

The method of claim 7, wherein each of the at least one blood loss tracings is based upon a single historical medical procedure.

### Claim 9 (depends on 8)

The method of claim 8, wherein displaying the at least one reference blood loss data set comprises displaying a plurality of database blood loss tracings over time.

### Claim 10 (depends on 6)

The method of claim 6, wherein the at least one reference blood loss data set is provided as at least one band plot on the two-dimensional plot.

### Claim 11 (depends on 10)

The method of claim 10, wherein the at least one band plot comprises a plurality of nested confidence bands on the two-dimensional plot.

### Claim 12 (depends on 6)

The method of claim 6, wherein the estimated real-time blood loss and the estimated future blood loss are overlaid on the at least one reference blood loss data set.

### Claim 13 (depends on 1)

The method of claim 1, further comprising receiving the at least one reference blood loss data set from a remote server.

### Claim 14 (depends on 1)

The method of claim 1, wherein selecting the at least one reference blood loss data set is based at least in part upon type of medical procedure.

### Claim 15 (depends on 1)

The method of claim 1, wherein selecting the at least one reference blood loss data set is based at least in part upon one or more patient factors.

### Claim 16 (depends on 15)

The method of claim 15, wherein selecting the at least one reference blood loss data set is based at least in part upon one or more health condition or disease factors, or practice-based factors.

### Claim 17 (depends on 16)

The method of claim 16, wherein the at least one reference blood loss data set comprises an average, median, mode or a range of historical blood loss values from a plurality of prior medical procedures.

### Claim 18 (depends on 17)

The method of claim 17, wherein each of the plurality of prior medical procedures is a same type of procedure as the medical procedure.

### Claim 19 (depends on 18)

The method of claim 18, wherein the plurality of prior medical procedures are medical procedures selected based upon n blood loss tracings closest to a curve-of-best-fit of a current blood loss tracing that includes the estimated real-time blood loss.

### Claim 20 (depends on 19)

The method of claim 19, wherein n is between 2 and 50.

### Claim 21 (depends on 19)

The method of claim 19, wherein n is between 2 and 10.

### Claim 22 (depends on 1)

The method of claim 1, further comprising:
comparing the estimated real-time blood loss to a threshold value; and
displaying a message if the estimated real-time blood loss meets or exceeds the threshold value.

### Claim 23 (depends on 22)

The method of claim 22, wherein the threshold value is a time-dependent threshold value.

### Claim 24 (depends on 22)

The method of claim 22, wherein the threshold value is based on the at least one reference blood loss data set.

### Claim 25 (depends on 22)

The method of claim 22, wherein the message is a clinical message indicating that a blood transfusion threshold has been met.

### Claim 26 (depends on 22)

The method of claim 22, wherein the message is a clinical message indicating that a blood transfusion threshold is estimated to be met at a future time point.

### Claim 27 (depends on 1)

The method of claim 1, wherein estimating future blood loss comprises providing at least two predicted future blood loss values, wherein one of the least two predicted future blood loss values is a lower limited predicted future blood loss value.

### Claim 28 (depends on 27)

The method of claim 27, wherein one of the at least two predicted future blood loss values is an upper limited predicted future blood loss value.

### Claim 29 (depends on 1)

The method of claim 1, wherein providing the indication of the estimated future blood loss comprises displaying a predicted future blood loss area plot.

### Claim 30 (depends on 1)

The method of claim 1, wherein estimating real-time blood loss comprises estimating real-time blood loss based on at least one image.

### Claim 31 (depends on 30)

The method of claim 30, wherein estimating real-time blood loss comprises evaluating a color-related value of the at least one image.

### Claim 32 (depends on 1)

The method of claim 1, wherein estimating real-time blood loss comprises aggregating a plurality of real-time blood loss estimates from two or more images.
