156k views
4 votes
Many states require hospitals and EDs to utilize a patient acuity system to provide care for patients. What impact, if any, does patient acuity have on the following metrics: unit-budgeted HPPD, the average number of patients per nurse, average patient length of stay, readmission rates, medical supply cost, and patient satisfaction per quarter? Do you see any moral or ethical issues that might arise with this data? Is there any qualitative data that you think would be helpful when presenting your data to other leaders? How might you use the CRISP-DM model to analyze the data sets?

User Tim Rupe
by
7.4k points

1 Answer

4 votes

Final answer:

Patient acuity systems in hospitals influence several healthcare metrics and may bring moral or ethical issues, particularly regarding patient privacy and care disparities. Qualitative data, alongside the CRISP-DM model, can provide a robust framework for analyzing and presenting this information to improve healthcare delivery and patient outcomes.

Step-by-step explanation:

Utilization of a patient acuity system in hospitals and Emergency Departments (EDs) has implications on healthcare metrics and introduces potential moral and ethical issues. Patient acuity affects the unit-budgeted Hours Per Patient Day (HPPD), which is a measure of nursing workload and staffing requirements. As patient acuity increases, more nursing care is required, increasing the HPPD and potentially reducing the average number of patients per nurse to ensure safe care. Higher acuity patients often have longer average patient length of stay due to the complexity of their conditions. This could also impact readmission rates if the acuity is not appropriately managed or if transitions of care are not effectively executed. As for medical supply costs, higher acuity typically involves more intensive interventions, thus increasing costs. Patient satisfaction scores may also be affected if the perceived quality of care is compromised by high patient acuity levels without adequate staffing.

In terms of moral or ethical issues, patient privacy is a concern, particularly when balancing the costs of treatments and diagnoses with the quality of life and privacy risks. Additionally, ensuring that high-quality care is provided irrespective of patient acuity poses an ethical challenge to avoid disparities in care. When presenting data to leadership, qualitative data such as patient feedback, nurse job satisfaction, and reasons for readmissions could be invaluable. The CRISP-DM model could be used to analyze these datasets by first understanding the data and then moving through each phase, like data preparation and modeling, to gain insights and develop strategies for improvement.

User Rolando Isidoro
by
8.6k points