
Laboratory Information Systems (LIS/LIMS) Course
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.
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
With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Laboratory Information Systems
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 2HideHide detailsSee detailsData Standards and Interoperability
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 3HideHide detailsSee detailsSpecimen and Order Management
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 4HideHide detailsSee detailsResult Entry, Verification, and Reporting
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 5HideHide detailsSee detailsQuality Control and Quality Assurance
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 6HideHide detailsSee detailsSystem Administration and Security
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 7HideHide detailsSee detailsLIS Implementation and Validation
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 8HideHide detailsSee detailsAdvanced Analytics and LIS Optimization
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.
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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