A systemwide approach to validation of electronic device denominator data

Area of Science:

• Healthcare Informatics
• Clinical Data Management
• Health Services Research

Background:

• Accurate patient and device denominator data are crucial for healthcare quality measurement and operational efficiency.
• Manual data collection methods are prone to errors and resource-intensive.
• Standardizing electronic data capture across multiple sites presents significant challenges.

Purpose of the Study:

• To develop and validate a standardized electronic process for capturing patient and device denominator data.
• To assess the feasibility and accuracy of electronic data capture in a multi-hospital setting.
• To identify key drivers of discrepancies between electronic and manual data collection methods.

Main Methods:

• A multidisciplinary team designed and implemented an electronic data capture system.
• The system was deployed across six hospitals within a single healthcare system.
• Validation involved comparing electronic data with manual counts over a 4-16 month period.

Main Results:

• The electronic data capture process was successfully developed and validated.
• Validation timelines ranged from 4 to 16 months across the participating hospitals.
• Manual count errors were identified as the principal source of discrepancies between electronic and manual data.

Conclusions:

• Electronic capture of patient and device denominator data is feasible in a multi-hospital system.
• Process validation is essential to ensure data accuracy and reliability.
• Addressing manual counting errors is critical for optimizing electronic data capture systems.