US 11,744,929 B2
Personalized renal failure chronic care systems and methods
Dheerendra R. Kommala, Lake Forest, IL (US); and Rohit Nayak, Cincinnati, OH (US)
Assigned to Baxter International Inc., Deerfield, IL (US); and Baxter Heathcare SA, Glattpark (CH)
Filed by Baxter International Inc., Deerfield, IL (US); and BAXTER HEALTHCARE SA, Glattpark (CH)
Filed on Jun. 9, 2017, as Appl. No. 15/618,978.
Prior Publication US 2018/0353670 A1, Dec. 13, 2018
Int. Cl. G16H 20/30 (2018.01); G16H 20/70 (2018.01); G16H 20/10 (2018.01); G16H 50/20 (2018.01); G16H 20/60 (2018.01); A61M 1/28 (2006.01); A61B 5/00 (2006.01); A61M 1/16 (2006.01)
CPC A61M 1/285 (2013.01) [A61B 5/0022 (2013.01); A61M 1/1645 (2014.02); G16H 20/10 (2018.01); G16H 20/30 (2018.01); G16H 20/60 (2018.01); G16H 20/70 (2018.01); G16H 50/20 (2018.01); A61M 1/1603 (2014.02); A61M 1/287 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A personalized renal failure chronic care system for a patient comprising:
a patient data input and output device;
a sensor communicatively coupled to the patient data input and output device and configured to record, as compliance information, at least one of blood pressure data, glucose data, bioimpedance data, heart rate data, movement data, or nutritional data from the patient;
a server operating over a network, the server communicatively coupled to the sensor via a connection to the patient data input and output device over the network;
a health care provider (“HCP”) data input and output device in communication with the server via the network;
software stored on the server or the HCP data input and output device, the software including an automated learning method for creating an overall kidney maintenance plan that specifies one or more controllable variables as actions performed by the patient to prevent or reduce complications associated with chronic kidney disease (“CKD”), the automated learning method configured to present a plurality of controllable variables for selection, wherein the controllable variables for selection include at least one nutritional variable related to a dietary adjustment and at least one lifestyle variable related to a lifestyle adjustment, and wherein a selected controllable variable is scheduled to be modified for the patient over a testing period; and
a compliance entry feature configured to receive the compliance information from the sensor, wherein the automated learning method is configured to use the compliance information to confirm that the selected controllable variable was modified over the testing period as scheduled,
wherein the automated learning method is configured to perform an evaluation to determine whether the selected controllable variable is to be included in the overall kidney maintenance plan, the evaluation including
receiving first evaluation data as a baseline, the first evaluation data related to a chronic kidney disease test of the patient performed during a first time of the testing period,
receiving second evaluation data that is related to the chronic kidney disease test of the patient performed during a subsequent, second time of the testing period,
determining from the first evaluation data and the second evaluation data whether a kidney function worsens,
adding the selected controllable variable to the overall kidney maintenance plan as an approved controllable variable when (i) a worsening of kidney function is not determined between the first evaluation data and the second evaluation data, and (ii) the compliance information provides a confirmation that the selected controllable variable was modified over the testing period, and
omitting the selected controllable variable from the overall kidney maintenance plan when a worsening is determined between the first evaluation data and the second evaluation data,
wherein the software is configured to transmit the overall kidney maintenance plan including at least one approved controllable variable over the network to the patient data input and output device to implement or control adherence to the overall kidney maintenance plan.