Related Experiment Video
Updated: Jan 15, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Automation in value-based laboratory medicine: driving precision, capacity, and better outcomes
Damien Gruson1,2, Tomáš Zima3, Mario Plebani4
1Department of Laboratory Medicine, Cliniques Universitaires St-Lux, Brussels, Belgium and Université Catholique de Louvain, Brussels, Belgium.
Laboratory automation is transforming healthcare by improving diagnostics and patient care. This evolution, including hyperautomation, integrates diverse lab disciplines for better clinical decisions.
Area of Science:
- Laboratory medicine
- Clinical diagnostics
- Healthcare technology
Background:
- Automation has significantly improved clinical laboratory efficiency and outcomes.
- Laboratory automation is key to value-based healthcare, enhancing patient and stakeholder value.
- Automation's scope is expanding beyond clinical chemistry and immunoassays into molecular diagnostics and mass spectrometry.
Purpose of the Study:
- To highlight the transformative impact of laboratory automation on modern healthcare.
- To discuss the expansion of automation into new diagnostic fields.
- To explore the future of laboratory medicine with hyperautomation.
Main Methods:
- Review of automation's historical impact on laboratory medicine.
- Analysis of automation's current role in value-based laboratory practice.
- Discussion of emerging trends like digitalization and artificial intelligence in laboratory settings.
Main Results:
- Automation enhances diagnostic timeliness, patient monitoring, and personalized therapies.
- Expanded automation in molecular diagnostics and mass spectrometry supports precision medicine.
- Hyperautomation is shifting laboratories towards integrated diagnostic hubs.
Conclusions:
- Laboratory automation is a strategic transformation, not just a technological upgrade.
- The integration of automation, digitalization, and AI is creating hyperautomation.
- Future laboratories will function as integrated hubs, harmonizing data for improved clinical decision-making.
Related Concept Videos
Errors occurring during blood pressure monitoring
Several factors...
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

