The medical device data language for the P1073 medical information bus standard

1990 ◽  
Vol 7 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Jan Wittenber ◽  
M. Michael Shabot
Keyword(s):  
Medical Device ◽  
Medical Information ◽  
Medical Information Bus

scholarly journals Evaluation of the Medical Information Bus (MIB) with a medical device 239

1998 ◽  
Vol 43 ◽  
pp. 43-43
Author(s):  
David Walding ◽  
Mike Gullikson ◽  
Karen Knecht ◽  
John Espinosa ◽  
Yadin David
Keyword(s):  
Medical Device ◽  
Medical Information ◽  
Medical Information Bus

scholarly journals Medical Device Integration Model Based on the Internet of Things

2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Medical Device ◽  
Medical Devices ◽  
Medical Information ◽  
Medical Information System ◽  
The Internet ◽  
Model Based ◽  
Device Integration ◽  
The Internet Of Things

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.

Medical Information Bus

1991 ◽  
pp. 206-211
Author(s):  
Gilad J. Kuperman ◽  
Reed M. Gardner ◽  
T. Allan Pryor
Keyword(s):  
Medical Information ◽  
Medical Information Bus

Real time monitoring and analysis via the medical information bus, Part II

1997 ◽  
Vol 35 (5) ◽  
pp. 535-539 ◽  
Author(s):  
J. A. Taboada ◽  
B. Arcay ◽  
J. E. Arias
Keyword(s):  
Real Time ◽  
Medical Information ◽  
Real Time Monitoring ◽  
Medical Information Bus

A Role-Based Agent-Oriented Approach to Medical Device Integration

2008 ◽  
pp. 1230-1235
Author(s):  
Francesco De Mola ◽  
Giacomo Cabri
Keyword(s):  
Medical Device ◽  
Medical Information ◽  
Care Delivery ◽  
Vital Signs ◽  
Uniform Interface ◽  
Specific Device ◽  
Precise Diagnosis ◽  
Role Based ◽  
Device Manufacturer ◽  
Response Current

Monitoring heterogeneous medical devices is a key issue for efficient medical information management in highquality health care delivery. Collecting vital signs and integrating data from various sources is very important in order to make precise diagnosis and provide effective emergency response. Current commercial rules and the scarce adoption of standard protocols are the first main obstacle to achieve a real integration. We propose a work-in-progress, role-based, agentoriented solution to overcome this obstacle: proper mobile agents are in charge of acquiring data from each kind of medical device (e.g., electrocardiograms, blood pressure, and oxygen saturation gauges), providing a uniform interface toward the business logic; in its turn, each medical device is provided by a vendor-specific role, embodying the capability to interface with the device by means of its own protocol. Thus, each time a new medical device requires the integration in a wider system, a generic mobile agent migrates to the device node; here, it assumes the role of the specific device manufacturer and starts delivering the acquired data hiding the heterogeneity of the device. We will propose such a solution describing the implementation of a demonstrative prototype exploiting the RoleSystem infrastructure, which dynamically makes role capabilities available to the agents.

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