An Electronic Medical Record Is Much Better And Much Safer Than Paper Record

2509 Words Apr 21st, 2015 11 Pages
Advances are being made to develop IT infrastructure that are both inexpensive and robust. Medical data are complex, but there are data standards for diseases, procedure, and laboratory tests. An electronic medical record is much better and much safer than paper record.
TABLE 1. AHIMA Data Quality management Characteristics Characteristics Application Collection Warehousing Analysis
Data Accuracy
Data are the correct values and are valid to facilitate the accuracy, determine the applicant’s purpose, the question to be answered Ensuring accuracy involves education and training and timely and appropriate communication of data definitions to those who collect data. For example, data accuracy will help ensure that if a patient’s sex is
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This also helps to reduce redundant data collection Ensure that all pertinent data impacting the application are analyzed in concert
Data Currency The data should be up-to-date. A datum value is up-to-date if it is current for a specific point in time. It is outdated if it was current at some preceding time yet incorrect at a later time. The appropriateness or value of an application changes over time. For example, traditional quality assurance applications are gradually being replaced by those with the more current application of performance improvement. Data definitions change are modified over time. These should be documented so that current and future users know what the data mean. These changes should be communicated in a timely manner to those collecting and to the end-users To ensure current data are available, warehousing involves continually updating systems, tables, and databases. The dates of warehousing events should be documented. The availability of current data analysis of data for example, to study the incidence of diseases or procedures, ICD-9-CM codes may be used. Coding practices or the actual code for a disease or procedure may change over time. This should be taken into consideration when analyzing trends
Data Consistency The value of the data should be reliable and the same across applications Data are consistent when the value of the data

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