Free CPHQ Exam Braindumps (page: 24)

Generally, medical record review and prospective data collection are considered the most time- intensive and expensive ways to collect information. Many reserve these methods for highly specialized improvement projects or use them t o answer questions t hat have:

A data analyst, using a clinical decision support system (administrative database), discovered a higher-than-expected incidence of renal failure (a serious complication) following coronary artery bypass surgery. The rat e was well above 10 percent for t he most recent 12 months increased over t he last six quarters. However, t he clinical decision support system did not contain enough detail to explain whether this complication resulted from the coronary artery bypass graft procedures or was a chronic condition present on admission. To find the answer, the data analyst use different steps.
This example illustrates:

The syndrome of stockpiling is proven to be ineffective and inefficient. It also creates quality issues. This approach provides little value to the data collection effort and is one of the biggest mistake quality improvement teams make. Rather than provide a rich source of information, this approach unnecessarily derives up:

The distinction between inpatient and outpatient data is an important consideration in planning the data collection process because: