How is the amount and complexity of data reviewed described?

The amount and complexity of data reviewed refers to the various processes involved in evaluating a patient's health status or diagnosis through multiple sources. This encompasses gathering old records, which provides historical context and prior health issues; performing clinical labs, which involves conducting tests that generate new quantitative data; and ordering and reviewing tests, where the healthcare provider assesses additional diagnostic information to make informed decisions.

By considering all these elements collectively, the amount and complexity of data reviewed is seen as a holistic approach to understanding the patient's condition. Each component—old records, clinical labs, and test orders—adds layers to the physician's understanding, with the interplay of these aspects offering a comprehensive view of the patient's health.

Thus, recognizing that all these activities together contribute to the overall assessment of data complexity justifies the choice that all of the above are included in defining how the amount and complexity of data reviewed is described.