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Related Experiment Video

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Informatics and the clinical laboratory.

Richard G Jones1, Owen A Johnson2, Gifford Batstone3

  • 1Deputy Director, Yorkshire Centre Health Informatics, University of Leeds, Leeds, UK;

The Clinical Biochemist. Reviews
|October 23, 2014
PubMed
Summary
This summary is machine-generated.

Pathology information systems require modernization to integrate with electronic health records, enhancing data exchange and clinical decision support. Collaboration between laboratory informaticians and clinical developers is crucial for future advancements.

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Area of Science:

  • Medical Informatics
  • Laboratory Medicine
  • Health Information Technology

Background:

  • Pathology services face evolving demands due to increased workloads, cost pressures, and technological advancements.
  • Laboratory systems must adapt to new data exchange requirements with clinical electronic record systems for test ordering and results reporting.
  • Emerging challenges involve the format and content of exchanged datasets, necessitating dialogue between clinicians and laboratory information specialists.

Purpose of the Study:

  • To review the increasing demands on pathology information systems within the context of healthcare delivery changes.
  • To explore the role of informatics in pathology for modernization, new diagnostics, disease management, and resource optimization.
  • To highlight the importance of integrating laboratory data into the clinical pathway and empowering patients with information.

Main Methods:

  • Review of general trends in medical informatics and their reflection in laboratory medicine priorities.
  • Analysis of current needs including unified electronic records, computerized order entry, data security, and audit.
  • Discussion on the evolving architecture of pathology systems and electronic patient record systems.

Main Results:

  • Informatics is vital for pathology modernization, new diagnostic modalities (e.g., proteomics, genomics), evidence-based disease management, and resource optimization.
  • Key priorities include unified electronic records, computerized order entry, data security, recovery, and audit.
  • Rethinking pathology system architecture is needed to align with maturing electronic patient record systems.

Conclusions:

  • Continued dialogue between clinicians and laboratory information specialists is paramount for realizing the potential of intelligent systems in pathology.
  • There is a significant opportunity for laboratory informaticians to collaborate with clinical systems developers to embed intelligent decision support systems.
  • Adapting pathology information systems is essential for seamless integration into the total clinical pathway and improved healthcare delivery.