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Laboratory Information Systems (LIS/LIMS) Course
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Laboratory Information Systems (LIS/LIMS) Course

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Master every layer of Laboratory Information Systems — from specimen accessioning and result verification to system validation and advanced analytics. This course equips lab professionals, IT administrators, and informatics specialists with the technical depth and practical skills needed to implement, manage, and optimize LIS and LIMS environments. Whether you're preparing for a go-live or driving continuous improvement, this is the definitive LIS training program.

Dedika for businesses

What you will learn:

  • Configure specimen tracking, order management, and result verification workflows within a LIS environment.

  • Apply HL7 v2, HL7 FHIR, and ASTM standards to build reliable laboratory data integrations.

  • Implement Westgard multi-rule QC logic and generate Levey-Jennings charts for daily quality monitoring.

  • Build and execute validation protocols — IQ, OQ, and PQ — to meet accreditation requirements.

  • Design operational dashboards and extract LIS data to support data-driven laboratory decision-making.

  • Develop change management and end-user training strategies that accelerate LIS adoption across teams.

How you study in practice Laboratory Information Systems (LIS/LIMS) Course

How you practice Laboratory Information Systems (LIS/LIMS) Course

For companies that want to train their team

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Course content

8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Laboratory Information Systems

  • Lesson 1 • Laboratory Workflow Overview

    Map specimen lifecycle from accessioning through result reporting. Grounds system features in real operational sequences.

  • Lesson 2 • System Architecture and Components

    Examine server, database, and client layers that form a LIS. Connects hardware and software roles to overall system reliability.

  • Lesson 3 • Key Stakeholders and User Roles

    Identify roles such as lab director, technologist, and IT administrator within a LIS environment. Clarifies access needs and accountability structures.

  • Lesson 4 • LIS and LIMS Defined

    Distinguish LIS from LIMS by scope, purpose, and industry context. Provides the conceptual baseline for all subsequent system study.

  • Lesson 5 • Regulatory and Accreditation Context

    Introduce quality standards and accreditation requirements that govern LIS design and operation. Sets compliance expectations for the entire course.

Chapter 2See details

Data Standards and Interoperability

  • Lesson 1 • Terminology and Coding Systems

    Apply LOINC, SNOMED CT, and ICD coding to lab results and diagnoses. Ensures semantic consistency across connected systems.

  • Lesson 2 • Interfaces and Integration Engines

    Configure and monitor integration engines that route messages between LIS and other platforms. Builds practical interface management skills.

  • Lesson 3 • Messaging Standards in Laboratory Settings

    Examine HL7 v2, HL7 FHIR, and ASTM messaging formats used for lab data exchange. Connects standard selection to integration project success.

  • Lesson 4 • Interoperability with External Systems

    Connect LIS to EHR, billing, and instrument systems using established protocols. Demonstrates end-to-end data flow across the healthcare enterprise.

Chapter 3See details

Specimen and Order Management

  • Lesson 1 • Worklist and Task Management

    Configure and use worklists to assign and prioritize bench tasks. Connects order management to efficient analytical throughput.

  • Lesson 2 • Test Order Entry and Management

    Create, modify, and cancel test orders using LIS order entry screens. Establishes the starting point of the analytical workflow.

  • Lesson 3 • Order and Specimen Error Handling

    Identify, document, and resolve order and specimen discrepancies within the LIS. Reduces pre-analytical errors that affect result accuracy.

  • Lesson 4 • Specimen Accessioning and Labeling

    Register specimens, assign accession numbers, and print barcode labels. Ensures specimen identity integrity throughout processing.

  • Lesson 5 • Specimen Tracking and Chain of Custody

    Use LIS location tracking and audit logs to monitor specimen movement. Supports regulatory compliance and reduces specimen loss.

Chapter 4See details

Result Entry, Verification, and Reporting

  • Lesson 1 • Manual and Automated Result Entry

    Enter results manually and via instrument interfaces, applying data validation rules. Establishes accurate result capture as the foundation of reporting.

  • Lesson 2 • Report Generation and Distribution

    Configure report templates and delivery channels for clinical and external recipients. Connects verified results to timely, accurate communication.

  • Lesson 3 • Reference Ranges and Decision Rules

    Define and maintain reference intervals and autoverification decision rules. Enables consistent, rule-driven result interpretation across the lab.

  • Lesson 4 • Result Amendment and Correction

    Amend, correct, and retract results while preserving a complete audit trail. Maintains data integrity and regulatory compliance after initial release.

  • Lesson 5 • Result Review and Verification Workflow

    Perform technologist and supervisor review steps before result release. Ensures a quality checkpoint between analysis and reporting.

Chapter 5See details

Quality Control and Quality Assurance

  • Lesson 1 • Levey-Jennings Charts and Trend Analysis

    Generate and interpret Levey-Jennings charts to identify systematic and random error. Builds visual QC interpretation skills essential for daily lab operation.

  • Lesson 2 • QA Metrics and Reporting

    Define, collect, and report key quality indicators such as turnaround time and rejection rates. Supports continuous improvement and management review.

  • Lesson 3 • QC Material and Lot Management

    Register QC materials, assign lot numbers, and set expiration tracking in the LIS. Provides the data foundation for all QC monitoring activities.

  • Lesson 4 • Proficiency Testing Management

    Track external proficiency testing submissions and results within the LIS. Connects internal QC performance to external accreditation requirements.

  • Lesson 5 • Statistical QC Rules and Westgard Logic

    Apply Westgard multi-rule logic and other statistical criteria to QC data. Enables systematic detection of analytical errors before result release.

Chapter 6See details

System Administration and Security

  • Lesson 1 • System Configuration and Maintenance

    Manage system parameters, scheduled tasks, and routine maintenance procedures. Keeps the LIS environment stable and performant for daily operations.

  • Lesson 2 • User Account and Role Administration

    Create, modify, and deactivate user accounts and assign role-based permissions. Establishes the access control framework for all system operations.

  • Lesson 3 • Audit Trails and Access Logging

    Configure and review audit logs that record user actions and data changes. Supports regulatory compliance and forensic investigation of system events.

  • Lesson 4 • Backup, Recovery, and Business Continuity

    Design and test backup schedules and disaster recovery procedures for the LIS. Ensures data availability and operational continuity after system failures.

  • Lesson 5 • Data Security and Privacy Controls

    Apply encryption, data masking, and privacy controls to protect patient and sample data. Aligns system configuration with healthcare data protection obligations.

Chapter 7See details

LIS Implementation and Validation

  • Lesson 1 • User Acceptance Testing

    Design and execute UAT scripts that verify system behavior against user requirements. Confirms that the configured system meets operational expectations before go-live.

  • Lesson 2 • Validation Strategy and Documentation

    Develop validation plans, protocols, and summary reports aligned with quality system requirements. Produces the evidence package required for regulatory approval.

  • Lesson 3 • System Configuration and Build

    Configure test panels, reference ranges, and workflows in a build environment. Translates laboratory requirements into functional system settings.

  • Lesson 4 • Go-Live and Post-Implementation Review

    Manage cutover activities, hypercare support, and post-go-live performance review. Closes the implementation cycle and identifies optimization opportunities.

  • Lesson 5 • Implementation Planning and Scoping

    Define project scope, timelines, and resource requirements for a LIS implementation. Establishes the project management foundation before technical work begins.

Chapter 8See details

Advanced Analytics and LIS Optimization

  • Lesson 1 • Predictive Analytics and Trend Forecasting

    Use historical LIS data to forecast test volumes, staffing needs, and supply demand. Advances lab planning from reactive to proactive management.

  • Lesson 2 • Strategic LIS Roadmap Development

    Align LIS capabilities with organizational strategy and build a multi-year technology roadmap. Prepares students for leadership roles in lab informatics planning.

  • Lesson 3 • Process Improvement Using LIS Data

    Apply Lean and Six Sigma methods to LIS-derived data to identify and eliminate waste. Connects analytical findings to measurable workflow improvements.

  • Lesson 4 • LIS Reporting and Data Extraction

    Build custom queries and scheduled reports to extract operational and clinical data. Provides the data access skills needed for all analytical activities.

  • Lesson 5 • Operational Performance Dashboards

    Design real-time dashboards that display throughput, TAT, and quality metrics. Enables management to monitor lab performance at a glance.

Certification

Your valid completion certificate

This course is for you:

  • Lab technologists ready to move beyond bench work into informatics roles.

  • Clinical informaticists seeking deeper expertise in laboratory system operations.

  • Healthcare IT professionals supporting hospital laboratory software environments.

  • Lab managers who need to evaluate, procure, or oversee a new LIS.

  • Biomedical scientists transitioning into research informatics or LIMS administration.

  • Recent life sciences graduates pursuing a career in laboratory data management.

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