Why is manual data entry problematic in database?
Best insight from top research papers
Manual data entry in databases is problematic due to the high rate of human error involved in the process. Manual entry of data from various sources, such as paper records or complex medical reports, can result in transcription errors and inconsistencies. Additionally, manual data entry relies heavily on the ability of humans to comprehend and accurately transfer information, which can lead to mistakes and inaccuracies. These errors can have significant consequences, especially in critical environments such as healthcare, where accurate and timely data is crucial for patient care. Automated systems, such as optical character recognition (OCR), have been developed to overcome these challenges and improve the accuracy of data entry. Implementing solutions like wireless pumps for direct drug infusion rate transmission or systems for automatic recording of drug administration can also help reduce errors in manual data entry.
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
| The provided paper does not specifically mention why manual data entry is problematic in databases. | |
| The provided paper does not explicitly mention why manual data entry is problematic in a database. | |
| The paper discusses the limitations of manually entered data in acute care environments, including discrepancies in drug administration and vital signs data. It highlights the problem of "smoothing" vital signs during manual recording and suggests that electronically captured data are superior in quality compared to manually entered data. However, it does not explicitly mention why manual data entry is problematic in a database. | |
11 Citations | Manual data entry is problematic in a database because it can lead to human transcription errors, resulting in inaccurate data being entered into the system. |
20 May 2022 1 Citations | Manual data entry is problematic in databases because it relies on humans to comprehend handwritten documents, leading to a high rate of mistakes. |
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