National Public Health Organization & Central Lab
Laboratory Information System

Project Overview

Project Name: Deployment of Laboratory Information System (LIS) for EODY
Client / Institution: EODY – National Public Health Organisation of Greece


Purpose & Scope:

  • To implement an integrated Laboratory Information System across EODY’s central and networked public-health laboratories to support sample tracking, workflow automation, result management, surveillance data feed, and reporting.
  • The system supports EODY’s role in epidemiological surveillance, outbreak investigation, environmental testing, reference & network labs (e.g., the central lab KEDY and regional public-health labs). For instance, EODY “is strengthening the regional laboratory network through a series of formal agreements that establish the network and seek to achieve operational and technical interoperability.” 
  • The LIS must interface with national public-health data systems and contribute to timely data collection for antimicrobial resistance, genomic surveillance, water/food monitoring etc. (EODY coordinates these networks).

    Major Components / Work-streams:
  • Requirements gathering: mapping EODY-laboratory workflows (microbiology, molecular, environmental, water/food testing) and networked regional labs.
  • Selection/customisation of an LIS software platform that supports multi-discipline public health/lab workflows, instrument integration, bar-coding, sample tracking, data exchange with surveillance systems.
  • Hardware/instrument interfacing: linking laboratory analysers, barcode scanners, LIS modules, and linking upstream to sample collection points and regional labs.
  • Interoperability: defining and building interfaces (e.g., HL7, web services, API) between LIS and EODY’s surveillance databases, national registries, hospital/lab networks

    Implementation & rollout: pilot deployment in central lab (KEDY) and/or selected regional labs, then full rollout across network.
  • Training & change management: ensuring laboratory staff are trained, processes adjusted, standard operating procedures defined.
  • Quality / accreditation support: enabling the labs to meet accreditation/quality standards, audit trails, data integrity.
  • Post-deployment support and continuous improvement: monitoring system usage, metrics (turnaround time, error rates), refining workflows, scaling to new test types or labs.

Constraints & Key Considerations:

  • Public-health labs have high demands for uptime, reliability and data accuracy (especially in outbreaks).
  • Diverse workflows (environmental, microbiology, molecular, serology) and multiple sites (central + regional).
  • Interoperability across legacy systems and national registries.
  • Change management: laboratory staff, sample collection points, regional labs may have varying digital maturity.
  • Data-security, personal data protection (GDPR), audit trails and accreditation/regulatory compliance.

Project Highlights

  • Implementation of barcode sample-tracking: from receipt of specimen through processing to result release, to reduce mis-identification, ensure traceability, manage sample logistics.
  • Integration of instruments and automation: allowing data from analysers and molecular platforms to flow into LIS directly, reducing manual data entry, accelerating result generation.
  • Web-based or remote access capability: authorised users (lab staff, public-health officials) can view results/dashboards in real time, which supports rapid public-health decision-making.
  • Surveillance data linkage and analytics: The system supports export of standardized laboratory results into EODY’s surveillance networks (e.g., antimicrobial resistance, genomic surveillance, water/food safety) which EODY coordinates.
  • Quality control and accreditation readiness: The LIS supports QC modules (trend-charts, alerts), audit logs, and reporting capabilities that align with quality standards.
  • Enhanced productivity: By automating workflows and data entry, labs free up staff for higher-value work (interpretation, research, epidemiological follow-up).
  • Scalable architecture: The system design anticipates future expansion (e.g., additional regional labs, new test types, network scale-up) and supports growth of EODY’s public-health laboratory network.
  • Interoperability & standardisation: The project promotes use of standard terminologies (LOINC, SNOMED) and interfacing via HL7/API to ensure consistent data flow across systems, improving data quality and comparability.

Benefits

Operational Benefits

  • Faster turnaround times: Automated workflows, direct instrument data capture and streamlined sample routing reduce the time from sample receipt to result, enabling timely public‐health responses.
  • Reduced error rates: Sample bar-coding, automated data entry and audit trails minimise human error (mis-labels, manual transcription) and increase traceability.
  • Increased staff productivity: Lab personnel spend less time on manual‐routine tasks and more on analytical, interpretive, or surveillance-oriented work.
  • Resource optimisation: Better tracking of reagents, instrument usage, sample throughput leads to cost-savings and reduced wastage.
  • Scalability & future-proofing: As EODY expands its network and adds new tests (e.g., genomic, environmental), the LIS can support this growth without major system overhaul.

Quality & Compliance Benefits

  • Improved data integrity & auditability: Complete audit trails, controlled user‐access, and data logs support internal/external audits and accreditation processes.
  • Better quality control management: Real-time QC alerts and trend monitoring help maintain high standards and support conforming to ISO/EN laboratory standards.
  • Standardised data across network: Using the same LIS and terminologies across central and regional labs leads to consistent, comparable results and easier aggregation for surveillance.

Public Health & Strategic Benefits

  • Enhanced surveillance capabilities: EODY can rapidly access and analyse laboratory data from across its network to detect outbreaks, emerging resistant organisms, environmental threats, or unusual patterns.
  • Improved decision-making: Faster, reliable lab data supports more informed public‐health policy, resource allocation, emergency response (e.g., environmental event, infectious outbreak) and supports EODY’s mission.
  • Data‐driven insights: Use of analytics dashboards enables trend detection (e.g., rising resistance, new pathogen emergence, environmental contamination), enabling proactive public‐health measures.
  • Networked collaboration: The digital system fosters better collaboration between central and regional labs, hospitals, surveillance entities, and international partners (EU, WHO) through standardised data flows.
  • Cost avoidance & sustainability: While upfront investment is required, in medium/long term the efficiencies, error reduction, fewer repeat tests, manpower savings and improved public-health response may result in cost savings and better public-health outcomes.
  • Public trust and transparency: Reliable laboratory information systems and timely reporting can enhance public confidence in the public-health system and support transparency.

Summary

The deployment of LAB (Laboratory Information System) by EODY is a foundational step in modernising public-health laboratory services in Greece. It aligns operational performance, quality management, and strategic public-health objectives. 

By integrating sample workflows, instrument data, surveillance linkage and analytics, the system empowers EODY to fulfil its mandate more effectively: detecting, responding to and preventing public-health threats.