DNP 805 Topic 5 Discussion 1

DNP 805 Topic 5 Discussion 1 Select a specific clinical problem and post a clinical question that could potentially be answered using data mining. Identify data mining techniques you would apply to this challenge, and provide your rationale. Are there any specific data mining techniques you would not use? Support your decision. A specific clinical problem is unplanned hospital readmissions. Hospital readmission costs an estimated $25 billion dollars annually, and compromises patient safety (Olson, et al., 2016). A clinical question that could potentially be answered using data mining is “Which patients are at highest risks for hospital readmissions”. The data mining technique that appears most appropriate to analyze this clinical question would be the data relationship of classes which is using data to organize patients into groups to predict outcomes (Grand Canyon University, 2014). Data I would analyze for relationship trends might include: 1. Patients re-hospitalized within 30 days – to identify the patients in question 2. Age – to look for age groups at risk for re-hospitalization 3. Gender – to see of males or females is a possible predictor of re-hospitalization 4. Diagnoses – to identify diagnosis groups that increase risk of re-hospitalization 5. Complications – to identify any complications during hospitalization that may increase risk of re-hospitalization 6. Length of stay – to identify if length of stay trend may pose a risk of re-admission