Performance Improvement Tools and Reportable Metrics
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Performance Improvement Tools and Reportable Metrics
Graphical and tabular representation is a tool that I would maximize in displaying the collected data. This is because the formats give comprehensive summaries and aid in the description 0f all kinds of data, pervasive data that is comparative in nature and numerical. The stated advantages contribute to the quick, effective, and timely interpretation of data and ultimate decision-making. In the presentation, communication is usually more vital than the data available. Ensuring that everyone understands all the information and can derive conclusions with successful outcomes is the reason for choosing these formats (Agostinelli et al., 2013). According to Angra and Gardner (2018), accuracy in decision making is greatly determined by the data display technique and how data is framed/formatted. Before the presentation, the graphical charts need to be more self-explanatory, accurate, and easy to understand. This is made possible by using modifiers like titles, legends, self-explanatory symbols, word-icons, more minor footnotes, among others.
Performance Improvement Tools and Reportable Metrics
Crucial information to include in the presentation is the monthly or annual numerical representation of readmissions of various conditions in each facility. The data should show which condition has the highest readmission cases, the departmental scores of readmission, and a head-to-head comparison of each hospital’s scores. It is also essential to include the probable cause of readmissions and the interventions that can be applied to reduce readmission cases. Similarly, it is necessary to have a financial impact on the patient and the facility due to readmissions and the mortality cases that resulted even after readmission. Furthermore, data on the length of stay of the patient after readmission and the comorbidities the patient has on readmission (Ben-Assuli and Padman, 2017), Numerical representation of this data in graphs or charts displays the state of the two hospitals and allows for decision making among the key stakeholders to increase the quality of care and reduce the cost of care.
References
Angra, A., & Gardner, S. M. (2018). The Graph Rubric: Development of a Teaching, Learning, and Research Tool. CBE life sciences education, 17(4), ar65. https://doi.org/10.1187/cbe.18-01-0007
Agostinelli, A., Specchia, M. L., Liguori, G., Parlato, A., Siliquini, R., Nante, N., Di Thiene, D., Ricciardi, W., Boccia, A., & La Torre, G. (2013). Data display format and hospital ward reports: effects of different presentations on data interpretation. European journal of public health, 23(1), 82–86. https://doi.org/10.1093/eurpub/ckr205
Ben-Assuli, O., & Padman, R. (2017). Analysing repeated hospital readmissions using data mining techniques. Health systems (Basingstoke, England), 7(2), 120–134. https://doi.org/10.1080/20476965.2017.1390635
Performance Improvement Tools and Reportable Metrics
Question
You are going to present data that has been collected to your administrative group. The focus is on outcome measures and the data collected is unplanned readmission rates at two different hospitals. What format would you choose to display your data and why? What information would you include with the data?