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1. Informatics in the laboratory
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Information
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Informatics (academic field)
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Laboratory
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Laboratory informatics
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2. Informatics across the sciences
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Biodiversity informatics
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Bioinformatics
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Cancer informatics
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Chemical informatics
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Environmental informatics
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Genome informatics
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Health informatics
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Imaging informatics
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Infectious disease informatics
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Materials informatics
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Public health informatics
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3. All about LIMS and LIS
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Laboratory information management system
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LIMS feature
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Laboratory information system
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LIS feature
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4. Other laboratory informatics and support applications
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Chromatography data system
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Document management system
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Electronic data capture system
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Electronic health record
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Electronic laboratory notebook
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Enterprise resource planning system
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Laboratory execution system
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Picture archiving and communication system
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Radiology information system
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Scientific data management system
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Workflow engine
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5. Laboratory informatics considerations: Software and hardware
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Application programming interface
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Cloud computing
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Data center
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Desktop virtualization
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Distributed computing
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Interface (computing)
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Internationalization and localization
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Message broker
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Middleware
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Modularity
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Platform as a service
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Scientific instrument
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Software as a service
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6. Laboratory informatics considerations: Data management and security
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Audit trail
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Backup
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Blockchain
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Cloud computing security
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Computer security
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Data analysis
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Data exchange
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Data mapping
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Data migration
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Data recovery
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Data retention
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Data visualization
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Electronic signature
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Encryption
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Information management
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Information privacy
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Information security
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Information security management
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Information technology security audit
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IT risk management
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Master data
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Metadata
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Network security
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Retention period
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Security as a service
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Single sign-on
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Web application security
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7. Laboratory informatics considerations: Data, system, and process quality
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Conformance testing
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Control chart
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Corrective and preventive action
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Data integrity
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Data quality
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Good Automated Laboratory Practices
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Good Automated Manufacturing Practice
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Lean laboratory
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Nonconformity (quality)
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Quality (business)
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Quality assurance
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Quality control
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Quality management system
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Software quality
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Software quality management
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8. Laboratory informatics considerations: Automation
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Artificial intelligence
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Barcode
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Concept processing
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Data exchange
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Data integration
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Data mining
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Environmental monitoring
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Internet of things
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Inventory control
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Knowledge representation and reasoning
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Laboratory automation
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Machine learning
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Predictive maintenance
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Remote data capture
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SCADA
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System integration
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9. Laboratory informatics considerations: Acquisition and implementation
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Acceptance testing
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Business intelligence
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Concurrent user
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Change control
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Functional requirement
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Request for information
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Risk assessment
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Stakeholder analysis
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Systems development life cycle
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Workflow
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10. Related standards and regulatory considerations
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21 CFR Part 11
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40 CFR Part 3
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ANSI-ASQ National Accreditation Board
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ASTM E1578
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Clinical Laboratory Improvement Amendments
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Health Insurance Portability and Accountability Act
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Health Level 7
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ISO 15189
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ISO 9000
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ISO/IEC 12207
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ISO/IEC 17025
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Regulatory compliance
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The NELAC Institute
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11. Laboratory informatics resources
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Open-source laboratory informatics software
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