You are going to present data that have been collected to your administrative group. The focus is on outcome measures and the data collected are 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?

You are going to present data that have been collected to your administrative group. The focus is on outcome measures and the data collected are 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?

You are going to present data that have been collected to your administrative group. The focus is on outcome measures and the data collected are 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?

The current health practice relies heavily on data to enable healthcare practitioners and administrators to make accurate decisions. Data could be on processes or outcomes and should be clear, adequate, and relevant to patient care. However, how the data is presented makes a huge difference as far as interventions are concerned. As a result, healthcare professionals must be attentive to the format and information included in the data.

ORDER A PLAGIARISM-FREE PAPER HERE ON;You are going to present data that have been collected to your administrative group. The focus is on outcome measures and the data collected are 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?

When presenting data to my administrator group on unplanned readmission rates at two different hospitals, I would choose the Microsoft Excel format to display my data. It is simple to use Microsoft Excel since it has basic formulas for computation where necessary. The other advantage of data in Excel format is that it can be analyzed and visualized (Al-Odeh, 2020). In this case, raw data can be organized into a readable format and visualized through graphs, tables, or charts for the administrators to extract actionable insights. For instance, when presenting data on heart failure, Excel graphs would enable the administrator group to visualize which hospital is performing better than the other.

Regarding the information to include in the data, sources of the readmission rates and the hospitals’ current practices would be prioritized. Rates over time would be included too. Khan et al. (2021) noted that about 1 in 4 heart failure patients are admitted within a month of discharge, and about 50% are admitted within six months. Including such information would enable the administrator group to reflect on current practices and intervene appropriately. The effects of the readmissions, such as increased health costs, can also be included to demonstrate the seriousness of readmission rates as a health concern.

Data is critical in health care for decision-making. It should be presented in a way that staff and administrators can visualize to give insights. Excel format (spreadsheet) can effectively display data and important health information. Causes of readmissions such as heart failure, rates, and effects can be included in the displayed data.

References

Al-Odeh, M. A. (2020). Economic and cost analysis for operations and project managers. Rylanbooks.

Khan, M. S., Sreenivasan, J., Lateef, N., Abougergi, M. S., Greene, S. J., Ahmad, T., … & Butler, J. (2021). Trends in 30-and 90-day readmission rates for heart failure. Circulation: Heart Failure, 14(4), e008335. https://doi.org/10.1161/CIRCHEARTFAILURE.121.008335

Assignment Description:

You are going to present data that have been collected to your administrative group. The focus is on outcome measures and the data collected are 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?