Using macros in microsoft excel to facilitate cleaning of research data
Autor: | Justin Bauzon, Caleb Murphy, Sandhya Wahi-Gururaj |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Journal of Community Hospital Internal Medicine Perspectives, Vol 11, Iss 5, Pp 653-657 (2021) Journal of Community Hospital Internal Medicine Perspectives article-version (VoR) Version of Record |
ISSN: | 2000-9666 |
Popis: | Background: Retrospective chart review studies may be delayed by inability to export clean clinical data from an electronic medical record (EMR) or data repository. Macros are pre-programmed procedures that can be used in Microsoft Excel to help streamline the process of cleaning clinical datasets. Objectives: To demonstrate how macros may be useful for researchers at community hospitals and smaller academic health centers that lack informatics support. Methods: Using an intrinsic function of our institution’s EMR, vital signs and lab results from 20 individual hospitalizations were exported to a spreadsheet. Two macros were developed to sort through these datasets and output them into a specified format. The speed of macro-assisted data cleaning was compared to manual transcription. Results: Time spent on data cleaning was significantly reduced when using macro-assisted sorting compared to the manual approach for both vital signs (46.5 seconds versus 12.3 minutes per record, a 94% reduction; P |
Databáze: | OpenAIRE |
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