Federal Information Processing Standards Publication: guidelines for automatic data processing physical security and risk management

1974 ◽  
Author(s):  
Keyword(s):  
Risk Management ◽  
Information Processing ◽  
Data Processing ◽  
Automatic Data Processing ◽  
Physical Security ◽  
Automatic Data ◽  
Publication Guidelines

scholarly journals Automatic Data Processing to Achieve a Safe Telemedical Artificial Pancreas

2009 ◽  
Vol 3 (5) ◽  
pp. 1039-1046 ◽  
Author(s):  
M. Elena Hernando ◽  
Gema García-Sáez ◽  
Iñaki Martínez-Sarriegui ◽  
Agustín Rodríguez-Herrero ◽  
Carmen Pérez-Gandía ◽  
...  
Keyword(s):  
Risk Management ◽  
Data Analysis ◽  
Data Processing ◽  
In Silico ◽  
Artificial Pancreas ◽  
Automatic Data Processing ◽  
Medium Term ◽  
Short Term ◽  
Automatic Data ◽  
Automatic Data Analysis

Background: The use of telemedicine for diabetes care has evolved over time, proving that it contributes to patient self-monitoring, improves glycemic control, and provides analysis tools for decision support. The timely development of a safe and robust ambulatory artificial pancreas should rely on a telemedicine architecture complemented with automatic data analysis tools able to manage all the possible high-risk situations and to guarantee the patient's safety. Methods: The Intelligent Control Assistant system (INCA) telemedical artificial pancreas architecture is based on a mobile personal assistant integrated into a telemedicine system. The INCA supports four control strategies and implements an automatic data processing system for risk management (ADP-RM) providing short-term and medium-term risk analyses. The system validation comprises data from 10 type 1 pump-treated diabetic patients who participated in two randomized crossover studies, and it also includes in silico simulation and retrospective data analysis. Results: The ADP-RM short-term risk analysis prevents hypoglycemic events by interrupting insulin infusion. The pump interruption has been implemented in silico and tested for a closed-loop simulation over 30 hours. For medium-term risk management, analysis of capillary blood glucose notified the physician with a total of 62 alarms during a clinical experiment (56% for hyperglycemic events). The ADP-RM system is able to filter anomalous continuous glucose records and to detect abnormal administration of insulin doses with the pump. Conclusions: Automatic data analysis procedures have been tested as an essential tool to achieve a safe ambulatory telemedical artificial pancreas, showing their ability to manage short-term and medium-term risk situations.

The Maritime Administration Maintenance and Repair Data Processing and Evaluation System

1969 ◽  
Vol 6 (01) ◽  
pp. 48-57
Author(s):  
Edward S. Karlson ◽  
John J. Davis
Keyword(s):  
Data Processing ◽  
Evaluation System ◽  
Data System ◽  
Automatic Data Processing ◽  
Coding System ◽  
Raw Data ◽  
Automatic Data ◽  
Maintenance And Repair ◽  
Operational System

An operational system for providing processed maintenance and repair information for vessels is described. Content includes description of a detailed coding system for reducing raw data to composite code numbers suitable for automatic data processing. Objectives of the system and constraints thereon are discussed. The Marad data system has been operational for four years. Scope of data processed and its utilization are presented. Seven current studies concerning vessels as a whole and specific shipboard equipments are included.

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