Peer 1 Response
Kimberly Basilio observes that in any organization, quality and safety is paramount and can be determined through analyzing clinical data. The data ensures that set policies and guidelines are followed an met by the personnel. Some of the ways data analytics can be used in the hospital to reduce costs and improve care coordination include cutting down on administrative costs (Nicholson & Penney, 2004). Analytics equally enables the hospital to cut down on fraud allocating more resources to patient awareness and better care coordination to ensure the patients receive maximum and high-quality care. Basilio's arguments on the importance of clinical data are echoed by Madsen (2014), who points out that the sole purpose of organizational data is to affect the decision-making process of the organization. Organizations, such as healthcare facilities, can use the analytical data to determine the various areas that provide for more expenses, thus limiting profitability and quality patient care.
Peer 2 Response
On the other hand, Angela Nash points out that healthcare data is essential in reducing errors and increasing the safety of the patients. Improving safety through data analysis features an example of the wrong use of catheters on patients, which put their lives in danger as they risked suffering from other related infections. Healthcare data thus not only help the staff plan ahead but also enables the healthcare facility to perform an analysis of its operations so far, establishing the impact specific approaches have had on the health of the patient and how these can be improved for quality medical intervention. Dooling et al. (2014) build on the impact clinical data analyzation has had in addressing the healthcare gaps that would have otherwise existed. Such discrepancies have alluded to the overload of clinical systems, which make it hard for the medical technicians to keep up with the changes in medical records, thus are not able to modify patient information on time.
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References
Dooling, J., Goyal, P., Hyde, L., Kadlec, L., & White, S. (2014). Health data analysis toolkit. The American Health Information Management Association . 1-64.
Madsen, L. B. (2014). Data-driven healthcare: How analytics and BI are transforming the
industry . John Wiley & Sons.
Nicholson, E. R., & Penney, R. D. (2004). Quality data are critical to healthcare decision-
making. The American Health Information Management Association. 1-8.
