What does diagnostic analytics seek to understand?

Diagnostic analytics focuses on understanding the reasons behind past performance. It involves analyzing historical data to identify patterns, trends, and anomalies that can explain why certain outcomes occurred. This form of analytics seeks to uncover insights from past events and helps organizations understand what went wrong or right.

By delving into the "why" behind past performances, healthcare administrators can make more informed decisions and implement changes to improve future outcomes. This approach is especially vital in healthcare, where understanding the effectiveness of treatments, the efficiency of patient care, and operational workflow can lead to enhanced patient experiences and outcomes.

The other options do not align with the purpose of diagnostic analytics. While evaluating the current state of business processes pertains to assessing ongoing operations, predicting future trends involves prescriptive analytics rather than diagnostic. Also, assessing the statistical average of patient outcomes is more related to descriptive analytics, which summarizes past data rather than explaining it.