Body fluid movement system with remote patient monitoring

A urinary catheter system, comprising:

• a catheter with a urinary catheter tube with a lumen, a proximal end, a distal end and a balloon
• coupled to proximal end, the balloon configured to be positioned in an interior of a bladder, the catheter tube configured to provide flow of urine from bladder through the catheter lumen;
• a drainage bag configured for collecting urine from the bladder through the catheter lumen, the drainage bag having an inlet port for receiving urine;
• the urinary catheter tube including the proximal end, having a plurality of urine draining holes that receive urine from bladder and allow urine to be transported though the urinary catheter tube to the drainage bag;
• one or more sensors positioned in an interior of the catheter tube and positioned to be in contact with patient's urine, the one or more sensors providing sensor data relative to a health of a patient, the sensor data containing one or more of missing values, duplicate records, and formatting errors;
• an artificial intelligence system including an AI system with an AI engine, a plurality of machine learning algorithms used with a machine learning model, the machine learning model processing the sensor data using constructive learning to train the machine learning model to distinguish between clean and noisy data of the sensor data, and uses labeled data with a known noise level to classify the sensor data as either clean or noisy, allowing for the removal of one or more noisy data points from a sensor data dataset, the clean sensor data having a reduction of one or more of missing values, duplicate records, and formatting errors, and in response to the analysis of the clean sensor data by the machine learning algorithms make recommendations relative to a health of a patient, the AI system splitting the sensor data into a training set and a testing set with the training used to train and the testing set for analysis of the sensor data;
• the AI system including cryptography algorithms that encrypt at least a portion of one or more of the sensor data, and the clean sensor data, making it unreadable to unauthorized users and allowing for secure communication of the at least a portion of the sensor data, and the clean sensor data during transit;
• and
• a remote patient monitoring system coupled to the sensors, and including one or more dashboards with interfaces for a care provider to monitor multiple patients with multiple patient data simultaneously while maintaining a separateness of the multiple patient data.