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PROTECTING THE NATION:
Public Health Laboratories Maintain Preparedness for Emerging Threats
A Report of the 2018 APHL All-Hazards Laboratory Preparedness Survey
®
LIS DATA QUALITY BASELINE CHECKLIST
®
Laboratory Information
Systems Project
Management:
Facility Name
®
September 2019
MFL Code
County
VL Testing Laboratory
Contact
(Name, Cell Phone #, Email)
TM
TM
Date of Data Collection
The following are key indicators to monitor quality improvement as a result of LIS/electronic sample referral implementation. This observation should focus
on data for the past two months, using today’s date and counting back. Each row represents one page in a laboratory registration logbook.
A Guidebook for International
Implementations
Data Quality
Number of records observed
on page being reviewed
Number of records
missing gender
Number of records missing
date of sample collection
Number of records missing
age or date of birth
Number of records
missing sample type
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APHL LIS Data Quality Baseline Checklist | 1
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www.aphl.org