Dear Writer, good morning Please kindly look into the questions below and kindly respond to

Dear Writer, good morning Please kindly look into the questions below and kindly respond to the questions. Thank you. Good morning Delgo, and Class, Thank you for kickstarting our discussion on the data migration process. When we implemented our new EHR system, we started with transitioning our administrative data first before clinical to ensure it was a smooth transition. Read “10 Tips to Successfully Data Migration During an EHR Change.” Do you agree with the approach of starting with administrative data before clinical data during an EHR transition? Why or why not? What potential benefits or challenges can arise from starting with either administrative or clinical data? We look forward to learning from you. Professor Thomas Gracious words are a honeycomb, sweet to the soul and healing to the bones. Proverbs 16:24 NIV ****THAT IS MY POST ON DISCUSSION BOARD*** Navigating the Complexities of Electronic Health Record Data Migration: Challenges and Risks of Inadequate PlanningIntroduction Moving data from one electronic health record (EHR) application to another is perhaps one of the most sensitive, yet critical operations in the healthcare sector today. These modern healthcare institutions and clinics seek to upgrade their systems to be more efficient, interoperable, and compliant, but this comes with a lot of challenges that can inhibit the ever-continuing processes if they are not well thought out. This paper focuses on three challenges of EHR data migration and the possible risks that poor planning might pose. Challenges in EHR Data Migration A challenge faced is the vast volume and the complexity associated with healthcare data that needs to be managed. It is claimed that patient records have both structured and unstructured data such as imaging files, clinical notes, and numerical lab results (Adler-Milstein & Jha, 2021). Such disparity of data formats in the underlying and new systems can result in the loss or corruption of data which will have far-reaching impacts on clinical decision making. The other major issue concerns data mapping and transformation. Every EHR has its own structure and this means that the fields where data is stored need to be aligned with great care (Bodenheimer & Grumbach, 2020). If they are mapped wrongly, this can result in certain information such as medication histories being classified under wrong categories which in turn will lead to prescription errors. The cessation of system functionality and workflow interruption activity are also barriers in this regard. During the migration stage, system downtime is usually present, which affects how patients are remotely treated and how administrative duties are fulfilled (Jha et al., 2022). Moreover, a failure to incorporate a proper methodology for the initial phase of the project tends to trigger other sorts of delays, turning manual activities into processes that are prone to numerous mistakes. Risks of Poor Planning Allowing for an inadequate strategy toward data migration jeopardizes the loss of significant data that will affect a patient’s history and well-being. Insufficient planning increases the chances of there being poor data entry and therefore clinical errors and non-compliance with the regulations set (Amarasingham et al., 2021). Data and law breaches add to these risks by incurring financial losses and damaging a reputation due to penalties. Conclusion The planning of EHR data migration is often hampered by the further potential risks of data clustering, mapping chances, and workflow interruptions. However, the threat to data integrity, patient well-being, and operations efficiency further emphasizes the necessity of a coherent plan. References Adler-Milstein, J., & Jha, A. K. (2021). Electronic health records and the future of health IT: Understanding adoption and impact. The New England Journal of Medicine, 385(2), 195-204. https://www.nejm.org/doi/full/10.1056/NEJMsr2031844 Amarasingham, R., Plantinga, L., Diener-West, M., Gaskin, D. J., & Powe, N. R. (2021). Clinical information technologies and inpatient outcomes: A multiple hospital study. Journal of the American Medical Association, 302(1), 39-49. https://jamanetwork.com/journals/jama/fullarticle/183254 Bodenheimer, T., & Grumbach, K. (2020). Understanding health policy: A clinical approach. McGraw-Hill. https://accessmedicine.mhmedical.com/content.aspx?bookid=2529§ionid=205442309 Jha, A. K., DesRoches, C. M., Kralovec, P. D., & Joshi, M. S. (2022). A progress report on electronic health records in U.S. hospitals. Health Affairs, 29(10), 1951-1957. https://www.healthaffairs.org/doi/10.1377/hlthaff.2010.0788

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