Intelligent adjustment of dialysis machine operations

A method performed by a remote service in communication with a dialysis machine, comprising:

• receiving user feedback regarding treatment using a dialysis machine, wherein the remote service receives multiple sets of user feedback data from multiple distinct users;
• receiving information for dialysis machines for respective users;
• associating the information for the dialysis machines with respective user feedback, in which the user feedback includes an indication as to the respective user's well-being input by the users and received by respective dialysis machines or associated computing devices;
• identifying specific patterns using the associated information collectively among the users, in which the patterns include identifying user well-being characteristics based on a concentration or composition of used dialysate for each user;
• and
• using the identified patterns, transmitting an updated setting or notification to a dialysis machine to facilitate greater user experiences and well-being.

One or more hardware-based non-transitory computer-readable memory devices stored within a hemodialysis machine that is configured to filter blood from a patient, the memory devices including instructions which, when executed by one or more processors, cause the hemodialysis machine to:

• set criteria for a patient, in which the criteria are limits or configurations for operating the hemodialysis machine for the patient;
• receive data pertaining to operations of the hemodialysis machine or characteristics of the patient, in which the received data is received from the patient or generated by the hemodialysis machine;
• transmit the received data to a remote computing device;
• receive, from the remote computing device, one or more adjustments to an operation of the hemodialysis machine or a notification about the hemodialysis machine or the patient, wherein the remote computing device determines the one or more adjustments using an artificial intelligence (AI) engine based on crowd-sourced data obtained from at least other hemodialysis patients operating distinct and respective hemodialysis machines, in which the one or more adjustments are at least partially determined based on identified commonalities among the hemodialysis patients or their hemodialysis machines;
• and
• verifying that the received one or more adjustments or notification are in-line with the set criteria for the patient.