Introduction
For our project have conceptualized a sophisticated medical device, which we call the Glucosystem IV, in order to
(1) effectively manage patient blood glucose levels through
a. continuous glucose monitoring (CGM) and
b. continuous intravenous IV fluid infusion involving correct dosage calculations, and
(2) improve medical care and enhance the experience of patients by lessening the time spent by medical personnel on routine tasks, such as monitoring patient glucose levels, changing and administering intravenous insulin doses, through Internet of Things connectivity,
Our prior art research shows that this kind of device or any related embodiments still do not exist in the market (See ‘State of the Art’). We will show how the Glucosystem IV functions through simulating the device using the Raspberry Pi, Parse Cloud, and Handheld Device simulators available on Macintosh. Because we cannot use actual patients or intravenous devices (which cost thousands of dollars), we will hardwire blood glucose data over a typical two hour digestion cycle as well as typical basal glucose (fasting glucose), and basal insulin levels into the raspberry pi.
Unlike existing intravenous insulin delivery systems and protocols, the Glucosystem IV allows the drug to be administered or concentrations to change continuously and gradually. Continuous as opposed to a discrete interval drug delivery provides for a more effective medical treatment. Finally, connectivity via the Internet of Things allows doctors, medical personnel, and close family members to distantly keep track of the patient’s health. This holds medical personnel more accountable and minimizes the risk of medical malpractice.
Glucosystem IV consists of four features:
Continuous Glucose Monitoring System
Continuous Intravenous (IV) Fluid Infusion System
Patient Control Systems
Medical Personnel Control System
For both the patient and medical personnel control systems, information must be relayed to Parse Cloud before it is used to update the computation taking place in the Raspberry Pi.
(1) effectively manage patient blood glucose levels through
a. continuous glucose monitoring (CGM) and
b. continuous intravenous IV fluid infusion involving correct dosage calculations, and
(2) improve medical care and enhance the experience of patients by lessening the time spent by medical personnel on routine tasks, such as monitoring patient glucose levels, changing and administering intravenous insulin doses, through Internet of Things connectivity,
Our prior art research shows that this kind of device or any related embodiments still do not exist in the market (See ‘State of the Art’). We will show how the Glucosystem IV functions through simulating the device using the Raspberry Pi, Parse Cloud, and Handheld Device simulators available on Macintosh. Because we cannot use actual patients or intravenous devices (which cost thousands of dollars), we will hardwire blood glucose data over a typical two hour digestion cycle as well as typical basal glucose (fasting glucose), and basal insulin levels into the raspberry pi.
Unlike existing intravenous insulin delivery systems and protocols, the Glucosystem IV allows the drug to be administered or concentrations to change continuously and gradually. Continuous as opposed to a discrete interval drug delivery provides for a more effective medical treatment. Finally, connectivity via the Internet of Things allows doctors, medical personnel, and close family members to distantly keep track of the patient’s health. This holds medical personnel more accountable and minimizes the risk of medical malpractice.
Glucosystem IV consists of four features:
Continuous Glucose Monitoring System
Continuous Intravenous (IV) Fluid Infusion System
Patient Control Systems
Medical Personnel Control System
For both the patient and medical personnel control systems, information must be relayed to Parse Cloud before it is used to update the computation taking place in the Raspberry Pi.
