Measuring the effects of laboratory automation: The power of empirically derived models
1992

Measuring the Effects of Laboratory Automation

publication Evidence: moderate

Author Information

Author(s): Gerry Fitzgerald, Jim Swanson

Primary Institution: SmithKline Beecham R&D

Hypothesis

How does laboratory automation impact workflow and information flow in the laboratory?

Conclusion

The study found that a targeted metrics program significantly improved management confidence in laboratory automation and helped identify areas for improvement.

Supporting Evidence

  • The metrics program increased management confidence in laboratory automation efforts.
  • Key performance indicators helped identify data processing bottlenecks.
  • Reports generated from metrics provided insights into user support needs.

Takeaway

This study shows that measuring how lab automation works can help make labs run better and keep everyone happy.

Methodology

The authors conducted surveys and interviews with senior management to identify key objectives for a metrics system and developed a targeted approach to measure performance and resource use.

Limitations

The project faced severe resource constraints and was limited to a small subset of applications.

Participant Demographics

Participants included senior management and users from various scientific and technical backgrounds.

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