An Efficient Patient Data Entry System for a Busy Computer

Radiology ◽  
1978 ◽  
Vol 126 (3) ◽  
pp. 818-821
Author(s):  
Joseph M.-F. Lee ◽  
Thomas K. Jones ◽  
Faiz M. Khan ◽  
Seymour H. Levitt
Keyword(s):  
Data Entry ◽  
Patient Data ◽  
Data Entry System

A Microcomputer-Based Data Entry System for Reporting Adverse Drug Reactions in the United States

1988 ◽  
Vol 22 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Michael H. Dong ◽  
Charles Anello ◽  
John P. Juergens ◽  
Wayne M. Turner ◽  
Alan Gelberg ◽  
...  
Keyword(s):  
United States ◽  
Adverse Drug Reactions ◽  
Data Entry ◽  
The United States ◽  
Drug Reactions ◽  
Data Entry System

A Hybrid Clustering Technique to Improve Patient Data Quality

2003 ◽  
pp. 198-218
Author(s):  
Narasimhaiah Gorla ◽  
Chow Y.K. Bennon
Keyword(s):  
Hybrid Algorithm ◽  
Data Entry ◽  
Simulated Data ◽  
Patient Data ◽  
Data Mining Technique ◽  
Data Errors ◽  
Patient Will ◽  
C Program ◽  
Clinical Description ◽  
Improve Patient

The demographic and clinical description of each patient is recorded in the databases of various hospital information systems. The errors in patient data are: wrong data entry, absence of information provided by the patient, improper identity of the patients (in case of tourists in Hong Kong), etc. These data errors will lead to a phenomenon that records of the same patient will be shown as records of different patients. In order to solve this problem, we use “clustering,” a data mining technique, to group “similar” patients together. We used three algorithms: hierarchical clustering, partitioned clustering, and hybrid algorithm combining these two, and applied on the patient data using a C program. We used six attributes of patient data: Sex, DOB, Name, Marital status, District, and Telephone number as the basis for computing similarity, with some weights to the attributes. We found that the Hybrid algorithm gave more accurate grouping compared to the other algorithms, had smaller mean square error, and executed faster. Due to the privacy ordinance, the true data of patients is not shown, but only simulated data is used.

Are Structured Data Structured Identically?

2005 ◽  
Vol 44 (05) ◽  
pp. 631-638 ◽  
Author(s):  
J. Roukema ◽  
A. M. van Ginneken ◽  
M. de Wilde ◽  
J. van der Lei ◽  
R. K. Los
Keyword(s):  
Clinical Practice ◽  
Data Use ◽  
Data Entry ◽  
Patient Data ◽  
Structured Data ◽  
Free Text ◽  
Patient Records ◽  
Paper Record ◽  
Recorded Data ◽  
Insight Into

Summary Objective: OpenSDE is an application that supports structured recording of narrative patient data to enable use of the data in both clinical practice and clinical research. Reliability and accuracy of collected data are essential for subsequent data use. In this study we analyze the uniformity of data entered with OpenSDE. Our objective is to obtain insight into the consensus and differences of recorded data. Methods: Three pediatricians transcribed 20 paper patient records using OpenSDE. The transcribed records were compared and all recorded findings were classified into one of six categories of difference. Results: Of all findings 22% were recorded identically; 17% of the findings were recorded differently (predominantly as free text); 61% was omitted, inferred, or in conflict with the paper record. Conclusion: The results of this study show that recording patient data using structured data entry does not necessarily lead to uniformly structured data.

scholarly journals Adaptation of international nutrition databases and data-entry system tools to a specific population

2003 ◽  
Vol 6 (4) ◽  
pp. 401-406 ◽  
Author(s):  
Iris Shai ◽  
Hillel Vardi ◽  
Danit R Shahar ◽  
Ayelet B Azrad ◽  
Drora Fraser
Keyword(s):  
Dietary Intake ◽  
Data Entry ◽  
Food Composition ◽  
Portion Size ◽  
Local Foods ◽  
Specific Population ◽  
Data Entry System ◽  
Israeli Population ◽  
The Us ◽  
Analysis System

AbstractObjective:To develop a nutritional dietary intake database based on available reliable international nutritional databases adapted to the local needs of a specific population.Design:The Negev Nutritional Study (NNS) is a survey of a random sample of the Negev population regarding their dietary intake using 24-hour dietary recalls. A nutritional database for the Israeli population was developed based on adaptation and modification of the US Department of Agriculture's database. A data-entry system was developed based on the logic of the US Food Information Analysis System. The system was designed as bilingual (English and Hebrew). Local foods and recipes were collected during the NNS, which included 1465 24-hour diet interviews.Results:During the course of the NNS, 383 basic Israeli recipes were constructed. In total 1362 Israeli products were added to the database, and each was given a code, specific gravity and portion size. Most of the added products were cereals and grains and dairy products. The added recipes were collected from the interviewees in the NNS and from the most popular cookbooks.Conclusions:This paper describes the process undertaken to develop an Israeli food composition database as well as the data-entry system. This knowledge may aid other research groups in developing a computerised, nation-specific nutritional database and data-entry system adapted to their own specific local needs.

A Direct Data Entry System for Toxicologic Pathology

1981 ◽  
Vol 9 (2) ◽  
pp. 22-29 ◽  
Author(s):  
Donald E. Doyle ◽  
Louise S. Lombard ◽  
Thomas E. Fritz
Keyword(s):  
Data Entry ◽  
Data Entry System ◽  
Direct Data

Development of a new data entry system suitable for the Japan Adult Cardiovascular Surgery Database

2009 ◽  
Vol 57 (4) ◽  
pp. 192-196 ◽  
Author(s):  
Koji Takai ◽  
Masaru Sawazaki ◽  
Shiro Tomari ◽  
Koji Yamana ◽  
Yutaka Ogawa
Keyword(s):  
Cardiovascular Surgery ◽  
Data Entry ◽  
Data Entry System
Sign in / Sign up

Export Citation Format

Share Document