EHR Errors Essay

Questions for discussion:

How do you think “garbage in, garbage out” can be avoided?
How can the source of the inaccurate data be identified? EHR Errors Essay
Performance of the EHR System
How I think “garbage in, garbage out” can be avoided

“Garbage in, garbage out” is a phrase severally used to express the fact that, input that is of poor quality or incorrect will always result in faulty output as related to computing or other spheres of day to activities. However, it is possible to avoid “garbage in, garbage out” more so in relation to the field of computing. The first initiative to avoid “garbage in, garbage out” is by individuals expressing and selling the benefits of a clean data set EHR Errors Essay. Basically, a clean dataset ensures that the process of cleansing data in not only possible but also effective in producing desired outcomes. Performing regular data cleansing exercises through software and hardware updates assure the integrity of data hence accurate results (Wiedemann, 2010).

Another way in which “garbage in, garbage out” can be avoided is through working within existing processes. There is a specific procedure in which specific operations have to be executed before receiving final outcomes. It is essential that computer users follow these procedures depending on specific computer applications and operations they would like to perform. In this manner, computer users are able to prioritize operations, identify possibilities of errors and correct before execution hence avoiding possibilities of the occurrence of “garbage in, garbage out”(Bjokaman, 2014).

“Garbage in, garbage out” is highly attributable to human and system errors although the former largely contribute in comparison with the latter. For this reason, it should be an initiative by computer users to countercheck data and information before inputting to check for possible errors and inaccuracies that may result in undesired outcomes. This has to be done just before or at the point of data entry as it helps to avoid occurrences of “garbage in, garbage out” (Thomson, 2009) EHR Errors Essay.

How the Source of the Inaccurate Data Can Be Identified

Right from the entry point, it is possible to identify sources of incorrect data especially if the person who enters the data knows what type of data to expect before entry. In this manner, an individual is able to identify inaccuracy sources which may include misspellings, human errors and even system errors during the process of data entry. The most common type of error in that largely contributes to the inaccuracy of data is attributed to human errors which are likely associated with ignorance of individuals EHR Errors Essay. However, sources of human errors are easily identified through a series of steps that range from inspecting the data collection process to the center of data output. Through this initiative, it is possible to identify if data inaccuracy is attributable to human errors, system errors or both (Nickle, 2012).