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Operationalizing COVID-19 testing: Who, what, when, where, why, and how
Anita J Reddy1, Thomas G Fraser2, Purva Grover3
1Department of Critical Care, Respiratory Institute, Cleveland Clinic reddya3@ccf.org.
Cleveland Clinic Journal of Medicine
|June 11, 2020
Summary
This review covers COVID-19 testing strategies, including test quality and data analytics. It also explores using electronic medical records for patient testing and follow-up.
Area of Science:
- Infectious Diseases
- Public Health
- Medical Diagnostics
Background:
- The COVID-19 pandemic necessitated rapid development and deployment of diagnostic testing.
- Understanding testing rationale and quality is crucial for effective disease control.
Purpose of the Study:
- To review the rationale and approaches for COVID-19 testing.
- To assess the quality of available diagnostic tests.
- To explore the role of data analytics and electronic medical records in optimizing testing strategies and patient follow-up.
Main Methods:
- Literature review of COVID-19 testing strategies.
- Analysis of data analytics applications in testing.
- Examination of electronic medical record utilization for patient management.
Main Results:
- Discussion on the scientific basis and methodologies for COVID-19 detection.
- Evaluation of the performance characteristics of various diagnostic assays.
- Insights into leveraging data for informed testing decisions and patient care pathways.
Conclusions:
- Effective COVID-19 testing requires a multifaceted approach, integrating test quality assessment, strategic planning via data analytics, and robust electronic health record systems.
- Optimized testing and follow-up protocols are essential for managing the pandemic and future public health challenges.
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