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Using Real-Time Watson LIMS Data Integration and Analytics to Monitor Data Quality and Productivity, An Application of the Business Integration Program.

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Presentation on theme: "Using Real-Time Watson LIMS Data Integration and Analytics to Monitor Data Quality and Productivity, An Application of the Business Integration Program."— Presentation transcript:

1 Using Real-Time Watson LIMS Data Integration and Analytics to Monitor Data Quality and Productivity, An Application of the Business Integration Program in the Bioanalytical Lab Ann Hoffman, Business Development Director Shane Needham, Ph.D. Co-Founder and Laboratory Director Alturas Analytics, Inc.

2 Key resource decisions
Streamlining: Manual Information Transfers within Laboratory Operations Extreme administrative burden on highest paid staff (PhD level) RFP & Quotation generation is disconnected from lab operations Key resource decisions rely on manually generated project updates Difficult to forecast backlog or revenue No project triggers from completion of analysis to QC and QA data Reprioritizing reports to meet timeline commitments No real-time performance indicators to proactively identify risk Knowledge of sample shipment schedules Timely sample disposition/ storage notice difficult to track Lab Start Lab End QC Data QA Data Draft Report Revenue Recognition & Billing timing Issues Lab managed with spreadsheets & individual databases . Redundancy throughout the operation results in decreased efficiency and increase to overall timelines Project managers and lab operations staff spend time manually gathering information for tracking, analyzing, and reporting Client status updates, primarily using static data which are manually re-entered

3 CRM – key Data Input and flow

4 Information sharing: From CRM to operations
Master Schedule Quality Assurance Project Management Services and Pricing Schedules Reference Standards CRM (Business) Proposal Generation Contract Full Execution Shipment, Timelines, Terms MSAs, CDAs Assay List (Test Methods) Assay List Conferences Laboratory Supplies Protocol (timelines, study design) Equipment Inventory Finance (Quickbooks) Sample Management Invoicing Receipt, Archive, Disposition Projections

5 Management, QC, IT, Archives
Objectives: Executive Management Report Writing Quality Assurance Sample Management Finance Invoicing Projections Project Management Facilities Management, QC, IT, Archives Database integration across all functions Eliminate Redundancy Information sharing Data accessible in a single location All critical steps contain triggers and notifications Resource allocation scheduling Target timeline w/ alerts Expiration alerts Generation of metrics, summaries, reports Accurate projections for planning the future

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7 Alturas Laboratory Interface Communications Equipment
-Manages timelines for data delivery Interface -Interfaces with Watson for real-time data Communications -Internal and external communications Equipment -Tracks maintenance and calibration of equipment

8 Laboratory Interface Communications

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11 Assay/Test Method List

12 SOUP NUTS SIMPLIFICATION OF BIOA DATA, PROJECT AND COMMUNICATION MANAGEMENT

13 Acknowledgements Those on ALICE Team at Alturas
Bo Cheng, Cindy Barnhart, Heidi Schmuck, Jennifer Zimmer, Lawrie Malsack, Ann Hoffman Metrendalytics – Jan Miotto


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