User's manual for the National Water Information System of the U.S. Geological Survey; Chapter 3, Automated data processing system

1997 ◽  
Author(s):  
Scott D. Bartholoma
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.


2018 ◽  
Vol 4 (1) ◽  
pp. 87-96
Author(s):  
Yanni Suherman

Research conducted at the Office of Archives and Library of Padang Pariaman Regency aims to find out the data processing system library and data archiving. All data processing is done is still very manual by using the document in writing and there is also a stacking of archives on the service. By utilizing library information systems and archives that will be applied to the Office of Archives and Library of Padang Pariaman Regency can improve the quality of service that has not been optimal. This research was made by using System Development Life Cycle (SDLC) which is better known as waterfall method. The first step taken on this method is to go directly to the field by conducting interviews and discussions. This information system will be able to assist the work of officers in terms of data processing libraries and facilitate in search data archives by presenting reports more accurate, effective and efficient.


1987 ◽  
Vol 62 (6) ◽  
pp. 469-471
Author(s):  
Yu. D. Fedorov ◽  
Yu. F. Sviridova ◽  
A. V. Kiselev ◽  
V. I. Marusev ◽  
N. D. Loginov

1964 ◽  
Vol 3 (02) ◽  
pp. 57-60
Author(s):  
A. Lemlich ◽  
H. Ziffer

A computer supported clinical study concerning the natural history and prognosis of heart disease was carried out. The use of automated data processing system facilitated the collection of clinical data and permitted the use of advanced statistical- procedures in the evaluation of these data. Clinical shock was found to be the most important factor in the prognosis of this disease. Other important clinical and laboratory features of this disease were investigated statistically. Further studies concerning the application of computer systems and techniques to clinical diagnosis are in progress and will be reported upon in the future.


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