An Overview of Quality Improvement Processes and Data Analysis in Perioperative Nursing Practice

Published on Oct 1, 2021in AORN Journal0.676
· DOI :10.1002/AORN.13501
Shelly S. de Peralta1
Estimated H-index: 1
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Kari A. Dodge1
Estimated H-index: 1
,
Renata A. Jones1
Estimated H-index: 1
Source
Abstract
AORN sets quality improvement (QI) standards that nurses can use to collect and interpret data. There are a variety of benchmarks available from national organizations and regulatory bodies: AORN provides evidence-based guidelines for perioperative practice, whereas The Joint Commission and the Centers for Medicare & Medicaid Services specify patient care requirements. Nurses can use the subject, objective observations, analysis, and plan (SOAP) format to assess, diagnose, plan, and communicate information related to the QI process to key stakeholders. When participating in QI activities, perioperative nurses may find it helpful to understand the importance of values that measure location (eg, mean, median, mode) and variability; display data in a visual format (eg, histogram, run chart), and determine significance (eg, t test, P value). An understanding of QI processes should help nurses work to improve patient care and evaluate effectiveness of the actions through statistical analysis.
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#2Kevin LittleH-Index: 1
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Quality improvement processes and management approaches that provide a foundation for continuous quality improvement can lead to improved patient care. The Institute for Healthcare Improvement developed a high-performance management system (HPMS) for health care leaders and staff members to effect continuous quality control, and then conducted a pilot of the system in several ambulatory surgery centers (ASCs). The primary focus of the pilot program in the ASC setting was to understand the applic...
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