Observer Variation in Clinical Diagnosis - A Computer-Aided Assessment of its Magnitude and Importance in 552 Patients with Abdominal Pain

1973 ◽  
Vol 12 (02) ◽  
pp. 108-113 ◽  
Author(s):  
P. W. Gill ◽  
D. J. Leaper ◽  
P. J. Guillou ◽  
J. R. Staniland ◽  
J. C. Horhocks ◽  
...  
Keyword(s):  
Abdominal Pain ◽  
Clinical Diagnosis ◽  
Error Rate ◽  
Diagnostic System ◽  
Diagnostic Error ◽  
Observer Variation ◽  
History Taking ◽  
Computer Aided ◽  
Computer Based ◽  
Initial Survey

This report describes an evaluation of »observer variation« in history taking and examination of patients with abdominal pain. After an initial survey in which the degree of observer variation amongst the present authors fully confirmed previous rather gloomy forecasts, a system of »agreed definitions« was produced, and further studies showed a rapid and considerable fall in the degree of observer variation between the data recorded by the same authors. Finally, experience with a computer-based diagnostic system using the same system of agreed definitions showed the maximum diagnostic error rate due to faulty acquisition of data to be low (4.7°/o in a series of 552 cases). It is suggested as a result of these studies that — at least in respect of abdominal pain — errors in data acquisition by the clinician need not be the prime cause of faulty diagnoses.

A Computer-based Diagnostic/Patient Management System for Isolated Environments

1983 ◽  
Vol 22 (03) ◽  
pp. 131-134 ◽  
Author(s):  
Karen Robinson ◽  
B. L. Ryack ◽  
G. Moeller ◽  
R. Post ◽  
W. Schroeder
Keyword(s):  
Abdominal Pain ◽  
Data Collection ◽  
Diagnostic Accuracy ◽  
Patient Management ◽  
Acute Abdominal Pain ◽  
Diagnostic System ◽  
Specific Data ◽  
Computer Aided ◽  
Computer Based ◽  
Effective Use

Four studies were conducted to examine the data collection procedures and diagnostic accuracy of Navy Hospital Corpsmen for patients “with acute abdominal pain and to determine the compatibility of their skills with the requirements of a computer-aided diagnostic system for abdominal pain. Findings suggest that instruction in specific data collection procedures results in an increase in the amount of data collected. It does not appear to improve either the accuracy of the data collected or the diagnosis. The instructed corpsmen collected more of the required data for effective use of a computer-based diagnostic system for abdominal pain.

A Computer-Aided Diagnostic System Using a Small Desk-Top Computer-Calculator

1974 ◽  
Vol 13 (02) ◽  
pp. 83-88 ◽  
Author(s):  
C. Jane
Keyword(s):  
Abdominal Pain ◽  
Acute Abdominal Pain ◽  
Diagnostic System ◽  
Computer Aided Diagnosis ◽  
Input Output ◽  
Diagnosis System ◽  
Computer Aided ◽  
Aided Diagnosis

This report describes in detail a simple cheap computer-aided diagnosis system based around a WANG 700C desk-top computer/calculator and a WANG 711 input/output writer. Total costs of the system are less than £ 1,000 per anmun. A single diagnosis takes around 3—5 minutes to perform, and the use of the system can be learnt within 30 minutes. Accuracy is of the order of 90% for acute abdominal pain and some degree of flexibility and geographical compatibility has been achieved. Additional problems in implementation are discussed.

Computer based simulated patient for teaching history-taking

1973 ◽  
Vol 37 (8) ◽  
pp. 27-31
Author(s):  
HA Brody ◽  
LF Lucaccini ◽  
M Kamp ◽  
R Rozen
Keyword(s):  
Simulated Patient ◽  
History Taking ◽  
Teaching History ◽  
Computer Based

Pattern-Recognition: A Comparison of the Performance of Clinicians and Non-Clinicians - with a Note on the Performance of a Computer-Based System

1972 ◽  
Vol 11 (01) ◽  
pp. 32-37 ◽  
Author(s):  
F. T. DE DOMBAL ◽  
J. C. HORROCKS ◽  
J. R. STANILAND ◽  
P. J. GUILLOU
Keyword(s):  
Pattern Recognition ◽  
Computer System ◽  
Computer Aided Diagnosis ◽  
Clinical Interview ◽  
Computer Performance ◽  
Pattern Size ◽  
Computer Aided ◽  
Computer Based ◽  
Aided Diagnosis ◽  
Better Than

This paper describes a series of 10,500 attempts at »pattern-recognition« by two groups of humans and a computer based system. There was little difference between the performances of 11 clinicians and 11 other persons of comparable intellectual capability. Both groups’ performances were related to the pattern-size, the accuracy diminishing rapidly as the patterns grew larger. By contrast the computer system increased its accuracy as the patterns increased in size.It is suggested (a) that clinicians are very little better than others at pattem-recognition, (b) that the clinician is incapable of analysing on a probabilistic basis the data he collects during a traditional clinical interview and examination and (c) that the study emphasises once again a major difference between human and computer performance. The implications as - regards human- and computer-aided diagnosis are discussed.

Computer Aided Authoring and Editing

1981 ◽  
Vol 10 (2) ◽  
pp. 109-124 ◽  
Author(s):  
Richard Braby ◽  
J. Peter Kincaid
Keyword(s):  
Grade Level ◽  
Small Data ◽  
Analysis And Evaluation ◽  
Training Analysis ◽  
Training Materials ◽  
Computer Aided ◽  
Evaluation Group ◽  
Computer Based ◽  
Readable Text ◽  
The U.S

Using computers to author and edit text is now feasible and economical. This article describes two elements of a computer based publishing system which aid authors by automatically generating certain kinds of training materials, and in writing easily understood text Authoring routines automatically format and compose text and merge stored graphics with the text. Highly redundant training materials require only a small data base to produce a sizeable workbook. Editing routines aid authors in writing readable text by: 1) flagging uncommon words and long sentences; 2) suggesting substitutes for awkward or difficult words and phrases; and 3) indicating the readability grade level. These routines are operating as elements of a prototype publishing system in the U.S. Navy's Training Analysis and Evaluation Group minicomputer. They are being developed for use in the U.S. Navy's computer based publishing system.

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