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In this case study, Lancet Laboratories, together with Pacific Knowledge Systems (PKS), provides a classic example of best-practice transformational change.


  • It was the laboratory pathologists who were primarily tasked with driving the changes, and they produced the automated rules rather than needing to leave it to the technical IT staff. This enabled a simple decision-making structure to be implemented to deliver improved services.
  • By directly engaging its stakeholders, Lancet managed to achieve a smooth transition and clearly delivered its promised outcomes.

Features and Benefits

  • Learn how a health laboratory successfully delivered significant performance improvements using a rules-based system.
  • Identify the key management processes for driving digital transformation in a laboratory setting.

Key questions answered

  • How can automation be used to deliver a more personalized service to general practitioners?
  • What are some of the key management considerations when implementing a rules-based system?

Table of contents


  • Catalyst
  • Ovum view
  • Key messages

Recommendations for the healthcare industry

  • Recommendations for enterprises
  • Recommendations for vendors

Using a rules-based solution to deliver improved laboratory outcomes

  • Setting the business context
  • The role of technology in solving the problem

Lessons learned

  • The big implementation challenges were all about thinking differently when using a rules-based engine
  • End-to-end IT infrastructure is pivotal to success
  • Executive leadership is crucial


  • Methodology
  • Further reading
  • Author

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