Adaptive zone model predictive control with a glucose and velocity dependent dynamic cost function for an artificial pancreas
US-12128212-B2 · Oct 29, 2024 · US
US2016203283A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016203283-A1 |
| Application number | US-201514636785-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 3, 2015 |
| Priority date | Jan 14, 2015 |
| Publication date | Jul 14, 2016 |
| Grant date | — |
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Disclosed is a system for facilitating diagnostic and maintenance of a medical device used for treatment of a patient. The system comprises a data capturing module for capturing data pertaining to a medical device. The data may be captured from one or more data sources comprising Picture Archiving and Communication System (PACS), Electronic Medical Record (EMR) systems, and Device Monitoring System. Further, the system comprises an analysis module for deriving meaningful information from the data by performing data analytics on the data. Further, the system comprises a prediction module for predicting insights associated to the medical device based on the meaningful information, wherein the insights facilitate in diagnosis and maintenance of the medical device.
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We claim: 1 . A method for facilitating diagnostic and maintenance of a medical device used for treatment of a patient, the method comprising: capturing, by a processor, data pertaining to a medical device, wherein the data is captured from one or more data sources, and wherein the one or more data sources comprises Picture Archiving and Communication System (PACS), Electronic Medical Record (EMR) systems, and Device Monitoring System; deriving, by the processor, meaningful information from the data by performing data analytics on the data; and predicting, by the processor, insights associated to the medical device based on the meaningful information, wherein the insights facilitate in diagnosis and maintenance of the medical device. 2 . The method of claim 1 , wherein the data comprises hospital location, medical device details, patient medical records, medical device sales, medical device health information, and medical device usage pattern. 3 . The method of claim 1 , wherein the data is captured, from the Device Monitoring System, by using a Representational state transfer (RESTful) Application Programming Interface (API), and wherein the data is stored in an operational database. 4 . The method of claim 1 , wherein the data is captured, from the PACS, by using a Digital Imaging and Communications in Medicine (DICOM) adaptor. 5 . A system for facilitating diagnostic and maintenance of a medical device used for treatment of a patient, the system comprising: a processor; and a memory coupled to the processor, wherein the processor is capable of executing a plurality of modules stored in the memory, and wherein the plurality of module comprising: a data capturing module for capturing data pertaining to a medical device, wherein the data is captured from one or more data sources, and wherein the one or more data sources comprises Picture Archiving and Communication System (PACS), Electronic Medical Record (EMR) systems, and Device Monitoring System; an analysis module for deriving meaningful information from the data by performing data analytics on the data; and a prediction module for predicting insights associated to the medical device based on the meaningful information, wherein the insights facilitate in diagnosis and maintenance of the medical device. 6 . The system of claim 5 , wherein the data is captured, from the Device Monitoring System, by using a Representational state transfer (RESTful) Application Programming Interface (API), and wherein the data is stored in an operational database. 7 . The system of claim 5 , wherein the data is captured, from the PACS, by using a Digital Imaging and Communications in Medicine (DICOM) adaptor. 8 . A non-transitory computer readable medium embodying a program executable in a computing device for facilitating diagnostic and maintenance of a medical device used for treatment of a patient, the program comprising a program code comprising: a program code for capturing data pertaining to a medical device, wherein the data is captured from one or more data sources, and wherein the one or more data sources comprises Picture Archiving and Communication System (PACS), Electronic Medical Record (EMR) systems, and Device Monitoring System; a program code for deriving meaningful information from the data by performing data analytics on the data; and a program code for predicting insights associated to the medical device based on the meaningful information, wherein the insights facilitate in diagnosis and maintenance of the medical device.
for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades · CPC title
Physics · mapped topic
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