Data processing in pathology laboratories: the extension of the Phoenix system into haematology

1980 ◽  
Vol 2 (1) ◽  
pp. 63-72 ◽  
Author(s):  
A.A. CLARKE ◽  
S.J. COLEMAN ◽  
A. PRALL ◽  
I.D.P. WOOTTON
Keyword(s):  
Data Processing ◽  
The Phoenix

Data Processing in Pathology Laboratories: The Phoenix System

1977 ◽  
Vol 14 (1-6) ◽  
pp. 323-329 ◽  
Author(s):  
J. Abson ◽  
A. Prall ◽  
I. D. P. Wootton
Keyword(s):  
Data Processing ◽  
System Performance ◽  
Cost Benefit ◽  
Satisfactory Condition ◽  
Data Files ◽  
The Phoenix

This paper completes the description of the Phoenix system by outlining the additional programs necessary to maintain the data files in a satisfactory condition and prevent them from becoming overfilled. The standards of training required by the operating staff are discussed and an assessment is made of the system performance in terms of cost/benefit. This was achieved by observing the time spent by staff during a period when the throughput of work was accurately measured. From these figures it is possible to estimate the needs of another laboratory. Finally, the continued extension of the computer facilities into other pathology disciplines and the provision of terminals in the hospital is described.

The Karolinska Hospital Information System

1974 ◽  
Vol 13 (03) ◽  
pp. 125-140 ◽  
Author(s):  
Ch. Mellner ◽  
H. Selajstder ◽  
J. Wolodakski
Keyword(s):  
Information System ◽  
Data Processing ◽  
Data Base ◽  
Hospital Information System ◽  
Care Delivery ◽  
Traditional Approach ◽  
Processing System ◽  
Systems Design ◽  
Data Processing System ◽  
Karolinska Hospital

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.

Data Screening Methods – Application to Differential Diagnosis in Pancreatic Pathology from Radiological Signs

1978 ◽  
Vol 17 (01) ◽  
pp. 36-40 ◽  
Author(s):  
J.-P. Durbec ◽  
Jaqueline Cornée ◽  
P. Berthezene
Keyword(s):  
Differential Diagnosis ◽  
Mutual Information ◽  
Data Processing ◽  
Screening Methods ◽  
Automatic Data ◽  
Chronic Calcifying Pancreatitis ◽  
Number Of Patients ◽  
Calcifying Pancreatitis ◽  
Pancreatic Pathology ◽  
Data Screening

The practice of systematic examinations in hospitals and the increasing development of automatic data processing permits the storing of a great deal of information about a large number of patients belonging to different diagnosis groups.To predict or to characterize these diagnosis groups some descriptors are particularly useful, others carry no information. Data screening based on the properties of mutual information and on the log cross products ratios in contingency tables is developed. The most useful descriptors are selected. For each one the characterized groups are specified.This approach has been performed on a set of binary (presence—absence) radiological variables. Four diagnoses groups are concerned: cancer of pancreas, chronic calcifying pancreatitis, non-calcifying pancreatitis and probable pancreatitis. Only twenty of the three hundred and forty initial radiological variables are selected. The presence of each corresponding sign is associated with one or more diagnosis groups.

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