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What is the importance of understanding the minimal data set needed to achieve the purpose of the report?

What is the importance of understanding the minimal data set needed to achieve the purpose of the report?

The Importance of Understanding the Minimal Data Set Needed To

Achieve the Purpose of the Report

Generation of scientific reports often require the use of data collection in the course of the study. The data collected often depend on the kinds of studies that are being conducted as well as the approaches that have been undertaken. Different research processes require different amount of data to achieve the desired outcomes (Hair et al., 2019). The quantity of data in use can always determine the quality or accuracy of the study outcomes. The minimum data set in the research process is part of the mandated process for effective clinical assessment of all the researchers or medical professionals in the healthcare system. The entire process involve a comprehensive and standardized assessment for each of the functional capabilities and healthcare needs (Mohammadi et al., 2016). Understanding the minimal data set needed to achieve the purposes of a report is important in ensuring that the objectives of the research are fully addressed and integrated in the reports.

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What is the importance of understanding the minimal data set needed to achieve the purpose of the report?

While compiling a report, there is always the need to provide evidence and support all the information with the concrete data collected during the study process. Understanding the minimal data is therefore necessary (Levin et al., 2017). Healthcare organizations should always be able to determine if the reporting needs is to be static or ad hoc. Ad hoc reporting refers to the business intelligence model where research reports are developed and shared by the non-technical business intelligence users. Healthcare organizations should be able to determine if reporting needs are to be static or ad hoc through consideration of the users or consumers of the information. For non-technical consumers, there is always the need to apply Ad hoc reporting system. If the data used does not exist in the extractable format, one of the challenges would be wrong conclusion incomplete presentation.

References

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review. https://www.emerald.com/insight/content/doi/10.1108/EBR-11-2018-0203/full/html?fbclid=IwAR0y460wWoGID-0BDVrVWnFrJl5eMVB-4pZuhI4nEFfTHZX_R8LRcb0Jk5o&utm_source=TrendMD&utm_medium=cpc&utm_campaign=European_Business_Review_TrendMD_1&WT.mc_id=Emerald_TrendMD_1

Levin, A., Tonelli, M., Bonventre, J., Coresh, J., Donner, J. A., Fogo, A. B., … & Yang, C. W. (2017). Global kidney health 2017 and beyond: a roadmap for closing gaps in care, research, and policy. The Lancet390(10105), 1888-1917. https://www.sciencedirect.com/science/article/abs/pii/S0140673617307882

Mohammadi, A., Ahmadi, M., & Gharagozlu, A. (2016). Developing a minimum data set for an information management system to study traffic accidents in Iran. Iranian Red Crescent Medical Journal18(3). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884271/

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