# US 11,998,671 B2 · Intelligent adjustment of medical device operations

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- Number: US 11,998,671 B2
- Document ID: US11998671B2
- Status: Granted
- Kind: B2
- Application number: 17/454,479
- Filed: 2021-11-10
- Published: 2022-03-03
- Granted: 2024-06-04
- Earliest claimed: 2019-08-07
- Assignees: KATA Gardner Technologies
- Applicants: KATA Gardner Technologies
- Inventors: Thomas Tatonetti
- Web page: https://patentgrep.com/patent/US11998671B2

## CPC

- A61M 1/16: with membranes
- A61M 1/1603: {Regulation parameters}
- A61M 1/1613: {Profiling or modelling of patient or predicted treatment evolution or outcome}
- A61M 1/3403: {Regulation parameters}
- A61M 1/3639: {Blood pressure control, pressure transducers specially adapted therefor}
- G16H 10/20: for electronic clinical trials or questionnaires
- G16H 20/17: delivered via infusion or injection
- G16H 40/67: for remote operation
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- A61M 1/1656: {Apparatus for preparing dialysates}
- A61M 1/287: {Dialysates therefor}
- A61M 2205/3331: Pressure; Flow
- A61M 2205/3368: Temperature
- A61M 2205/3553: remote, e.g. between patient's home and doctor's office
- A61M 2205/3584: using modem, internet or Bluetooth®
- A61M 2205/50: with microprocessors or computers
- A61M 2205/502: User interfaces, e.g. screens or keyboards
- A61M: DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY (introducing media into or onto the bodies of animals A61D7/00; means for inserting tampons A61F13/26; devices for administering food or medicines orally A61J; containers for collecting, storing or administering blood or medical fluids A61J1/05); DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY (surgery A61B; chemical aspects of surgical articles A61L); DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR {(Electrotherapy, e.g. producing anaesthesia by the use of alternating or intermittent currents A61N1/36021)}
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A remote service is implemented to automatically aggregate data across hemodialysis patients and hemodialysis patients and determine updated treatment options for patients to increase well-being and optimize performance of the hemodialysis machines. Patients or caregivers operating a hemodialysis machine or a local or remote user computing device associated with the hemodialysis machine can provide feedback regarding the patient's well-being to the remote service. The feedback can be provided at any of one or more times pre-treatment, during treatment, or post-treatment. Furthermore, the hemodialysis machine can be configured with one or more sensors that transmit data pertaining to device state of the hemodialysis machine, such as information about blood, dialysate used, saline solution, pump pressure, air trap and air detector, hemodialysis machine information (e.g., make and model), etc.

## Claims

### Claim 1

One or more hardware-based non-transitory computer-readable memory devices stored within a medical device associated with a patient, the medical device adapted to provide treatment to the patient, wherein the memory devices include instructions which, when executed by one or more processors, cause the medical device to:
collect data pertaining to operations of the medical device or characteristics of the patient, in which the data collected is from one or more of the medical device itself or input from a user associated with the medical device, wherein the input is received at the medical device or a distinct computing device communicatively connected to the medical device;
transmit the collected data to a remote computing device; and
receive, from the remote computing device, at the medical device or a computing device associated with the medical device, at least one of: (a) an adjustment to an operation of the medical device, (b) a suggested adjustment to an operation of the medical device, or (c) a notification about the medical device or the patient associated with the medical device,
wherein the remote computing device determines the adjustment, suggested adjustment, or notification using an artificial intelligence (AI) engine or hard-coded methods based on crowd-sourced data obtained from at least other distinct patients or distinct medical devices.

### Claim 2 (depends on 1)

The one or more hardware-based non-transitory computer-readable memory devices of claim 1, wherein the AI engine of the remote computing device trains a model of data and deploys a predictive model to determine the adjustment, suggested adjustment, or notification for the medical device.

### Claim 3 (depends on 1)

The one or more hardware-based non-transitory computer-readable memory devices of claim 1, wherein the suggested adjustment is presented to the user in the form of a notification on a display of the medical device or the distinct computing device that is associated with the medical device or patient.

### Claim 4 (depends on 3)

The one or more hardware-based non-transitory computer-readable memory devices of claim 3, wherein the suggested adjustment or the notification pertain to a hardware component for the medical device, a dosage administered by the medical device, or an operational parameter of the medical device.

### Claim 5 (depends on 1)

The one or more hardware-based non-transitory computer-readable memory devices of claim 1, wherein the adjustment to the medical device's operation is automatically administered by the medical device upon receipt.

### Claim 6 (depends on 1)

The one or more hardware-based non-transitory computer-readable memory devices of claim 1, wherein the executed instructions further cause the medical device or the distinct computing device associated with the medical device to verify that the received adjustment, suggested adjustment, or notification are in-line with criteria for the patient, wherein the criteria are unique to the patient's treatment plan.

### Claim 7 (depends on 6)

The one or more hardware-based non-transitory computer-readable memory devices of claim 6, wherein the criteria include limits or configurations based on the patient's treatment plan.

### Claim 8 (depends on 1)

The one or more hardware-based non-transitory computer-readable memory devices of claim 1, wherein the adjustment, suggested adjustment, or notification is derived from crowd-sourced information for medical device treatments associated with users that are relatable to the patient.

### Claim 9 (depends on 8)

The one or more hardware-based non-transitory computer-readable memory devices of claim 8, wherein relatable users are programmatically identified using the hard-coded methods or the AI engine.

### Claim 10 (depends on 1)

The one or more hardware-based non-transitory computer-readable memory devices of claim 1, wherein the user that inputs the data is either a patient being treated by the medical device or a caregiver.

### Claim 11

A remote service configured to generate and transmit treatment adjustments, suggested treatment adjustments, or notifications to patients undergoing treatment on a medical device, comprising:
one or more processors;
a hardware-based memory device having computer-executable instructions which, when executed by the one or more processors, causes the remote service to:
instantiate an artificial intelligence (AI) engine;
receive data associated with one or both of a plurality of patients or a plurality of medical devices that are associated with patients;
process, using the AI engine, the received data, in which the processing includes identifying patterns within the data,
wherein the identified patterns are based on multiple treatment sessions derived from the plurality of patients or the plurality of medical devices, and the patterns pertain to at least an operational configuration of the plurality of medical devices based on set treatment parameters, in which the identified patterns are utilized to improve patient treatment; and
determine, using the AI engine's identified patterns, treatments for patients or medical devices, the predictions being tailored to an adjustment of a medical device, a suggested adjustment to the medical device, or a notification about the medical device or a patient.

### Claim 12 (depends on 11)

The remote service of claim 11, wherein the executed instructions further cause the remote service to determine the adjustment to an operation of a medical device associated with a unique user.

### Claim 13 (depends on 11)

The remote service of claim 11, wherein the executed instructions further cause the remote service to determine the suggested adjustment to an operation of a medical device associated with a unique user.

### Claim 14 (depends on 11)

The remote service of claim 11, wherein the executed instructions further cause the remote service to:
determine an item of information about a unique medical device or a unique patient that is associated with patients;
transmit the determined item of information in the notification to the unique medical device or the medical device or computing device associated with the unique patient.

### Claim 15 (depends on 11)

The remote service of claim 11, wherein the suggested adjustment or the notification pertain to a hardware component for the medical device, a dosage administered by the medical device, or an operational parameter of the medical device.

### Claim 16 (depends on 11)

The remote service of claim 11, wherein the patterns are identified at least partially based on commonalities among one or both of the plurality of patients or the plurality of medical devices.

### Claim 17

A method performed by a computing device configured to generate and transmit treatment adjustments, suggested treatment adjustments, or notifications to patients undergoing treatment on a medical device, comprising:
instantiating, using one or more processors, an artificial intelligence (AI) engine;
receiving, using the one or more processors, data associated with one or both of a plurality of patients or a plurality of medical devices associated with patients;
processing, using the one or more processors and the AI engine, the received data, in which the processing includes identifying patterns within the data,
wherein the identified patterns are based on multiple treatment sessions derived from the plurality of patients or the plurality of medical devices, and the patterns pertain to at least an operational configuration of the plurality medical devices based on set treatment parameters, in which the identified patterns are utilized to modify patient treatment; and
determining, using the one or more processors and the AI engine's identified patterns, treatments for patients or medical devices, the predictions being tailored to an adjustment of a medical device, a suggested adjustment to the medical device, or a notification about the medical device or a patient.

### Claim 18 (depends on 17)

The method of claim 17, wherein the suggested adjustment or the notification pertain to a hardware component for the medical device, a dosage administered by the medical device, or an operational parameter of the medical device.

### Claim 19 (depends on 17)

The method of claim 17, wherein the patterns are identified at least partially based on commonalities among one or both of the plurality of patients or the plurality of medical devices.

### Claim 20 (depends on 17)

The method of claim 17, further comprising:
determining, using the one or more processors, an item of information about a unique medical device or a unique patient that is associated with a medical device or a computing device; and
transmitting, using the one or more processors, the determined item of information in the notification to the unique medical device or the medical device or computing device associated with the unique patient.