KEYWORDS:
Data Quality, Immunization Registry, Data Collection, Data Entry
BACKGROUND:
Research into different typographical errors, as part of a de-duplication study, leads into suggestions for techniques to minimize some of the typographical errors.
OBJECTIVE(S):
The objective is to design data collection systems that reduce or eliminate possibilities for typographical errors.
METHOD(S):
The identification of the frequency of certain groups of typographical errors was used to identify the problem areas. The body of knowledge produced by many studies in Information Science was then researched to find techniques for avoiding these typographical errors, where feasible.
RESULT(S):
Date errors are amenable to more accurate methods of data collection, including the design of paper forms, and the design of data entry screens. There are also some techniques that may help reduce errors in names, address information, and ID numbers, as well.
CONCLUSIONS(S):
Some types of typographical errors suggest some techniques for improving the way in which we collect and record data. Some simple changes to paper forms and data entry screens could reduce certain types of data errors.
LEARNING OBJECTIVES:
Understand the relationship between Data Quality and data collection tools. Understand techniques for designing data collection tools that minimize typographical errors.
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