scholarly journals CCDB - catchment characteristics data base Germany

1990 ◽  
Vol 45 (5) ◽  
pp. 676-676 ◽  
Author(s):  
Douglas E. Mould
Keyword(s):  

1975 ◽  
Author(s):  
James A. Earles ◽  
Cecil J. Mullins ◽  
James W. Abellera ◽  
Alan E. Michelson
Keyword(s):  
Drug Use ◽  

1990 ◽  
Author(s):  
Joseph M. Harrison ◽  
Peng Chen ◽  
Charles S. Ballentine ◽  
J. Terry Yates
Keyword(s):  

1983 ◽  
Vol 22 (03) ◽  
pp. 135-148 ◽  
Author(s):  
T. Kitaguchi ◽  
T. Nojiri ◽  
S. Suzuki ◽  
T. Fukita ◽  
T. Kawana

In order to meet the multifarious needs for drug information and to cope with the post-marketing surveillance of drugs adequately, an on-line drug information network, which is composed of two data bases, clinical case record data base and literature data base, has been developed. Primary considerations in designing these systems were input of clean data, accurate input, insuring that no ADRs are overlooked, accumulation of the latest data, saving manpower required for processing, and processing large quantities of data. This system is also designed to input and to output in Japanese character.


1982 ◽  
Vol 21 (04) ◽  
pp. 181-186 ◽  
Author(s):  
M. A. A. Moussa

A drug information system (DARIS) has been created for handling reports on suspected drug reactions. The system is suitable for being run on desktop computers with a minimum of hardware requirements: 187 K read/write memory, flexible or hard disc drive and a thermal printer. The data base (DRUG) uses the QUERY and IMAGE programming capabilities for data entry and search. The data base to statistics link program (DBSTAT) enables data transfer from the data base into a file for statistical analysis and signalling suspected adverse drug reactions.The operational, medical and statistical aspects of the general population voluntary adverse drug reaction monitoring programme—recently initiated in the State of Kuwait—are described.


1974 ◽  
Vol 13 (03) ◽  
pp. 125-140 ◽  
Author(s):  
Ch. Mellner ◽  
H. Selajstder ◽  
J. Wolodakski

The paper gives a report on the Karolinska Hospital Information System in three parts.In part I, the information problems in health care delivery are discussed and the approach to systems design at the Karolinska Hospital is reported, contrasted, with the traditional approach.In part II, the data base and the data processing system, named T1—J 5, are described.In part III, the applications of the data base and the data processing system are illustrated by a broad description of the contents and rise of the patient data base at the Karolinska Hospital.


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