Laboratory Information Management Systems
Laboratory Information
• The sole product of any laboratory, serving any purpose, in any industry, is information
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Laboratory Informatics Defined
• The specialized application of information technology to optimize and extend laboratory operations
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Data Flow in the Laboratory
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Lab Automation& Robotics
EquipmentInterfacing
LaboratoryInstruments
ChromatographyData Systems
Laboratory InformationManagement
Systems (LIMS)
DataAnalysis
DataMining
DataWarehousing
ElectronicLaboratoryNotebooks
Data Acquisition Information Processing Knowledge Management
Functional Hierarchyin Laboratory Informatics
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rules
rules
context
people
LIMS
Basic Concept of LIMS• Laboratory Information Management System• Definition: A collection of computerized methods
to acquire, analyze, store, and report laboratory data
• No “standard” LIMS– Developed– Customized– Configured
• LIMS are various because client labs are highly diverse– Analytical– Clinical– Environmental– Production
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Origin of LIMS
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SampleLabeling Job
Assignment ProgressTracking
ResultsEntryResults
VerificationReporting
IN
OUT
Facilitation of Routine Laboratory Operations
SampleLabeling Job
Assignment ProgressTracking
ResultsEntryResults
VerificationReporting
Modern Lab Workflow
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New ProjectPage
New StudyPage
Project/Study Maintenance
Basis of study may be multspecies:
PatientBloodTissue
Cellular BasedCell type
Sample BasedSample Type
AddSamples
Add tests
AssignTests/work
Project Manager/Owner
AssignWorkMgmt
AssignWorkMgmt
Sample Handling Manager/Owner
Activate/AssignTests/Work
Test DataEntry
Test ResultsPreview
Gel Makeand Load Pass
Sample Management
Samples may be:
SubmissionsCustomerInternal
Librariestypically internal
Requestsspecific samp type
AddSamples
ReceiveSamples
FindSamples
RequestSamples
UpdateStatus
SampleType
Tissue
Blood
Synth
Serum
OtherSoluble
ProteinProduction
Gel ImagePreview
Pass
Protein Sample Manager/Owner
ReadySamples
SamplePrep/Dilute
SelectTreatment
Fractionate
PerformTreatment
Make andLoad 1D
Gel
Select 2DGels type
and transfer
Run 1D andTreatmentSelection
Run 2D gelsand set
notification
Image Analysis Manager/Owner
Acquire GelImages inProgeneraGel Staining
AcquireGlobal Spot
List
SapphireSync
AcquireDifferentialSpot List
MS Prep Manager/Owner
Spot List toPAA
New SpotPlate
Created
SpotDigestion
Maldi SpotLoad
Run Maldi
MS and PID Search Manager/Owner
Get MS filefor each
SpotSearch MS
Ident peptidesand protein(s)
Store SpotPlate
View MS
IN
OU
T
Universal Need for LIMS
• Regardless of focus, all labs need:– Quality assurance and control– Error reduction– Fast sample turnaround– Management of information
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Increasing Need for LIMS:Information Management
• Advances in instrument automation– Robotics for sample processing– Microarray technology
http://www.dnalc.org/resources/3d/26-microarray.html
• Increased government regulations• Demands of enterprise resource planning
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Increasing Need for LIMS:Quality Assurance & Control
• Quality assurance (QA)• Quality control (QC)• Statistical process control (SPC)• ISO 9000
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Increasing Need for LIMS:Error Reduction
• Data entry restriction– Acceptable parameters– Drop-down lists
• Range checking– Customer specifications– Internal controls
• Sample log-in– Bar code reader
• Automatic calculations12
Increasing Need for LIMS:Sample Turnaround
• Automated data entry• Automatic calculations• Rapid data retrieval• Automatic reporting• http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2282400/
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Types of DataUsed in LIMS
• Alphanumeric• Descriptive• Limits• Numeric
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Types of LaboratoriesUsing LIMS
• Research & Development labs• Analytical labs• Manufacturing labs
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Research & Development Laboratories
• Objective– Support pure or applied research
• Characteristics– Small, autonomous– Diverse, non-routine tests– Low sample volume– Flexible operations– High internal security– Low, circumscribed data flow
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LIMS requirements forResearch & Development Labs
• Flexibility– Sample types, tests, methods, reports
• Traceability– Audit trails, on-the-fly notation
• Security– Very limited access, but with lateral authorization
• Time– Usually not an issue
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Analytical Laboratories
• Objective– Provide a service (information)
• Characteristics– Large, organization-dependent– Routine tests– High sample volume– Client-driven operations– High, narrow data flow
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LIMS Requirements for Analytical Labs
• Tracking– Samples, orders, reports
• Scheduling– Tests, equipment maintenance
• Quality assurance– Validation
• Data access and sharing– Instrument interfacing– Client-centered reporting
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Manufacturing Laboratories
• Objective– Assure product specifications– Statistical process control
• Characteristics– Ongoing testing: raw materials, process, final
product, stability– Dynamic, demanding environment– High, wide data flow– Fast turnaround
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LIMS Requirements for Manufacturing Labs
• Rapid sample turnaround– Automation, bar-code entry
• Connectivity– Manufacturing resource planning (MRP)– Enterprise resource planning (ERP)– Customer relationship management (CRM)
• Statistical analysis– Statistical process control
• Flexible reporting– Diverse information demands
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Functional Model of LIMS
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CB
data capturesyste
ms mgt
A
data
ana
lysi
slab m
gtreporting
DBMS
Data Capture
• Sample identification– Log-In, reading, labeling
• Work scheduling– Test initiation, test assignment
• Data acquisition– Interfacing, instrument control
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Data Analysis
• Data transfer– Buffer tapping, file transfer
• Data processing– Conversion, reduction, specification review,
statistical analysis
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Reporting
• Client-centered reports• User-defined reports• Automated batch reports• Tabular and graphical formats• Ad hoc queries• Event triggers• Exportation to external IS
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Lab Management
• Work scheduling• Sample tracking• Job tracking• Standard Operating Protocols (SOP)• Pricing and invoicing• Cost analysis
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Systems Management
• Security– External: unauthorized access– Internal: data sabotage
• Data archiving– Mirroring– Off-loading
• Data warehousing– Long-term storage– Far-off retrieval
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Enterprise-ScaleInformation Management
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Research &Development
Manufacturing
QualityControl
ProductSupport
RegulatoryAffairs
RawMaterials
CustomerService
QualityAssurance
Laboratory
LIMS Functionality
Examples using Labware™ LIMS
Configuring for Each User
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Labeling Samples
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Maintaining Instruments
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Configuring Test Components
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Assigning Tests for Samples
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Scheduling Tests
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Acquiring Data
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Capturing Data
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Setting Result Responses
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Reviewing Sample Status
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Reviewing Results
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Performing Quality Control
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Using Statistical Process Control
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Analyzing Laboratory Operations
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Submitting Reports
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