DiscussionHealth care data is unique in various ways. Much of the healthcare data is in several places. Unlike linear data, healthcare data is stored in different places (Boddy etal,.2019). An example of the places includes the source systems such as the HR software, EMRs, and different departments like the pharmacy. The data can only be made actionable and accessible by integrating the data from the organization into a single central system. The data also occurs in different formats, for example, on paper or in numeric. Data in the Radiology department uses images, while the EMRs can keep thousands of rows of data written in numbers.The data is also unique because the data exists either as structured or unstructured. The electronic medical record platform is software that captures and updates consistent data. The need to always document facts in the clinical setup and trace old papers made the industry invent ways of capturing data more conveniently. Despite finding data when captured using the unstructured manner seems inconvenient, the method is still used to suit the users who have not yet adopted the software, hence avoiding the hindrance of the care delivery process. This has resulted in healthcare data being captured in a manner that makes it hard to analyze or aggregate conveniently, unlike in the other forms of linear data.Other reasons for the uniqueness of the healthcare data are its complexity and the variable definitions because of the frequent incoming research. The data is complex because there is old data, such as the data of a patient that has been kept for a long to complement future treatments(Boddy etal,.2019). Old data is rarely scrubbed in the healthcare setting. The definitions are also inconsistent. For example, a cohort of patients suffering from tuberculosis can be described differently by two groups of clinicians. There may be an absence of a consensus on treatment criteria for similar diseases.
ReferencesBoddy, A., Hurst, W., Mackay, M., El Rhalibi, A., Baker, T.,
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