Student name

Capella University

NURS-FPX6424 Data Mining to Advance Healthcare

Professor Name

Submission Date

Proposal to Administration: Spreadsheet and Video Presentation

Glad to see you, Joseph Major. Pressure injuries are local tissue and skin damage that normally arise on bony prominences, and are a vital quality indicator in health care facilities. The evaluation of pressure injury incidence trends by age applies to the patterns of pressure injuries to determine trends, risks, and improvement opportunities. Part of the assessment will involve reviewing measurement methods, data visualization methods, and evidence-based practice recommendations for preventive practice. Using a systematic procedure to track and analyze this finding, this work makes the argument that intensive pressure injury monitoring is significant to promoting patient safety, reducing complications, and regulatory conformity in healthcare facilities.

Analysis of What, Why, and How to Measure a Specific Quality Outcome

The chosen quality outcome that will be followed is the incidence of pressure injuries, based on the severity of harm and age. Pressure injuries can be considered an important indicator of patient safety and nursing quality of care, especially when it comes to vulnerable populations, such as older adults and individuals with lower mobility (AHRQ, 2025). The justification of the measurement of this outcome is that it is instantly related to patient outcomes, resource use, and regulatory compliance. Gupta et al. (2020) document the pressure injuries in terms of causing more hospital-acquired complications, hospital stay, and mortality. Thus, monitoring of such events enables the heads of healthcare organizations to determine the success of the currently used preventive measures and introduce some alterations.

The measurement plan is to gather information on electronic health records (EHRs) and clinical documentation systems of patients in the inpatient units over a certain period. The key data elements are the age of the patient, whether the patient has been admitted and is at the hospital with or without the presence of pressure injury, the level of its severity, and the risk assessment scales (e.g., Braden Scale). The measurements can be used to identify trends and disparities in the occurrence of injuries in demographic groups. To give an example, as the given dataset demonstrates, the elderly (85+ years) have 69.5% rate of harm, compared to the adult population (18 years to 64 years), where this figure is 74.9, indicating that although young adults are more affected, the elderly are highly vulnerable because of the frailty and comorbidities (AHRQ, 2025).

Data Measures and Trending Evaluation

The measures are measured by data, with the importance put on the analysis of the percentage and frequency of pressure injury depending on the age. The table below shows that there are six-month baseline data, which is an expression of no-harm and harm outcomes trends. The visual effect in terms of usage of bar graphs also helps in understanding in terms of depicting the differences in incidence rates by age group. The most crucial aspect, however, is that, even though the highest rate of harm is observed in adults aged between 18 and 64 years (74.9%), the next significant rate is in the group that is older than 85 (69.5) (AHRQ, 2025). The least harm rate is observed in the under-18 category (87.4%), which can also be a marker of variations in the skin integrity, mobility, and overall health condition. These results are consistent with the data that both younger and older adults are more likely to be at risk because of the extended immobility, surgery, or chronic disease.

The trend analysis shows a steady trend of prevalence of pressure injuries with fluctuations that could probably be related to the staffing, patient acuity, and compliance with preventive measures. To illustrate this point, the incidence rates are lower in months with high nurse-to-patient ratios, and this is an indication of the workforce deployment towards pressure injury prevention. Also, standardized repositioning and skin checks have proven to decrease incidence as much as 30% (AHRQ, 2025). This discussion confirms the importance of the constant monitoring of clinical practice and the need to keep it modified to ensure patient outcomes are still improved.

Creation of Data Spreadsheet and Bar Graph

The data spreadsheet will contain columns of age group, degree of harm (harm/no harm), frequency, and percentage to be easily compared and identify trends. The data set covers more than a single time point, which permits the analysis of the rates of pressure injuries in a longitudinal fashion. The bar graph above visually shows the percentage of injury by age groups so that non-experts of raw data can easily interpret the data. This two-fold presentation (graphical and numerical) provides access and readability to multiplexed groups such as quality improvement committees, administrators, and clinical staff.

Spreadsheet

Bar Graph Data Extent of Harm by Age Category

Conclusion and Recommendations

This evaluation shows that the principles of data management are used in guiding strategic planning in nursing care. Examining trends of pressure injuries by age will allow the healthcare leaders to focus on priority groups and make a plan to allocate resources. Multidisciplinary work and communication with teams can be done easily due to the use of data visualization tools. Finally, data collection on other variables like comorbidities, hospital length of stay, and staff adherence to protocol will be expanded in the future. It will be important to continue monitoring and reporting to maintain the sustainability of improvement and adherence to national standards of quality. In general, this initiative is relevant to the overall mission to provide safe, effective, and patient-centered care.