DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining Re: Topic 5 DQ 1

DNP 805 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining

Re: Topic 5 DQ 1

According to Alexander et al. (2019), data mining refers to analyzing large sets of data to identify valuable and understandable patterns. Such patterns can aid in forecasting trends and help with improving product safety and usability, and patient experience, and have proven to be effective in medicine and the healthcare industry. Electronic health records have tremendously improved data collection and has contributed to data mining to prevent and reduce medical errors. A question that may be answered through data mining is as follows: Does telemedicine help reduce the number of hospital readmissions for patients with congestive heart failure (CHF)? According to Reddy and Borlaug (2019), CHF is a common cause of hospitalization that accounts for almost $30 billion of expenditure in the United States. Over five million individuals are affected by CHF and studies show that there has been an increase in readmission rates for those who were hospitalized related to the disease (Garcia, 2017). Data mining techniques that may be used include tracking patterns, association, and prediction. A technique that I would not consider using is clustering analysis.

References:

Alexander, S., Frith, K., & Hoy, H. (2019). Applied clinical informatics for nurses (2nd ed.). Jones & Bartlett Learning.

Reddy, Y. N. V., & Borlaug, B. A. (2019). Readmissions in heart failure: It’s more than just the medicine. Mayo

Clinic Proceedings, 94(10),