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The Evolution of Laboratory 
Data Systems 
Replacing Paper, Streamlining Process Execution, 
and Delivering Product and Pr...
©2014 IDBS 
How do you manage the most important 
product in your lab your data
©2014 IDBS 
Are you still using paper? 
Maybe SharePoint or a basic ELN?
A Common Situation 
Heavy dependency on paper 
 Extensive manual activity (Copy/Paste) 
 Data and IP spread out within and...
©2014 IDBS 
A Common Situation 
5 hours per week spent 
looking for data to 
prepare reports 
Almost 20% of the time, 
the...
©2014 IDBS 
Where do you want to take your RD?
©2014 IDBS 
I probably don’t need to tell you the benefits of 
electronic systems 
But just to name a few… 
Reduced entry ...
©2014 IDBS 
But this only works if you have a system that 
meets your needs and is used by the 
scientists
©2014 IDBS Typical Scenarios 
•With files stored on a common drive or 
SharePoint Paper + Excel 
• Still using excel for a...
©2014 IDBS 
SSSSTTTTOOOOPPPP!!!! 
Where are you going to get the most value most quickly?
©2014 IDBS 
What system is right, or systems? 
What are your overall goals and how do the 
requirements align with them? 
...
©2014 IDBS 
ELN vs LIMS vs LES vs MES vs SDMS…
©2014 IDBS Common drivers will affect your project 
Link data to data 
Link data to people 
Link people to people 
1111000...
©2014 IDBS Steps to take 
 Requirements 
 Project buy in 
 System/vendor selection 
 Project approval 
 Implementation pla...
©2014 IDBS 
System Requirements 
Common pitfalls 
Too few business experts 
• What one user needs may not suit another use...
©2014 IDBS 
Application Integration 
Start simple
©2014 IDBS Other things to consider 
 Deployment Methodology 
• Carrot vs Stick 
 Logistical Support 
• Getting all the la...
©2014 IDBS 
The more data goes in, the more it comes out 
Not quite…
©2014 IDBS 
The data management journey 
Enterprise analysis  insight 
Cross collaboration 
Structured data  process 
Simp...
©2014 IDBS The data management journey 
Process execution 
Structured data 
Unstructured data
©2014 IDBS The data management journey 
Unstructured 
Data 
•Reduced data 
entry time 
•Improved legibility 
•Easier to fi...
©2014 IDBS 
Case Studies 
Examples of customer deployments
©2014 IDBS 
VISION – lab knowledge management 
Clear, defined vision 
Large scale project 
Paper removal – time saving 
IP...
©2014 IDBS 
VISION – evolved over time 
Flexible, ambitious vision 
Large scale project 
Increased data quality 
Reduced c...
©2014 IDBS 
VISION – full process integration  alignment 
Two stage, ambitious vision 
Large scale project across many gro...
©2014 IDBS Measured Time Savings
©2014 IDBS Before you start your journey… 
 Define your vision 
 Understand your drivers 
 Focus on the ROI 
 Create a ste...
©2014 IDBS 
Questions? 
For more information, visit IDBS 
at Booth 104 (far left aisle) or 
idbs.com
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The Evolution of Laboratory Data Systems: Replacing Paper, Streamlining Process Execution, and Delivering Product and Process Insight

The laboratory has become an increasingly electronic environment. It’s not just that the volume of data is greater than ever before, it’s also being generated at ever-increasing speeds. As companies move towards a fully integrated lab environment there are benefits and pitfalls along the way. Successful projects start with a solid foundation, and keep a clear vision in mind.

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The Evolution of Laboratory Data Systems: Replacing Paper, Streamlining Process Execution, and Delivering Product and Process Insight

  1. 1. The Evolution of Laboratory Data Systems Replacing Paper, Streamlining Process Execution, and Delivering Product and Process Insight Jarrod Medeiros 22 October 2014 © 2014 ID Business Solutions. All Rights Reserved
  2. 2. ©2014 IDBS How do you manage the most important product in your lab your data
  3. 3. ©2014 IDBS Are you still using paper? Maybe SharePoint or a basic ELN?
  4. 4. A Common Situation Heavy dependency on paper Extensive manual activity (Copy/Paste) Data and IP spread out within and across Notebooks Data and Knowledge silos, limited Collaboration Documentation quality is variable Experimental failures are often not recorded For every 100 scientists, RD organizations spend more than 19,980 hours per year managing paper-based processes For every month you rely on paper-based processes, you are spending more than 1,665 hours in non-productive time* * Based on 100 scientists, working 7h/day for 46 weeks/year
  5. 5. ©2014 IDBS A Common Situation 5 hours per week spent looking for data to prepare reports Almost 20% of the time, the data needed cannot be found Experiments often have ttoo be rerun because the data is not accessible or cannot be retrieved Results of a survey of development groups in 104 organizations
  6. 6. ©2014 IDBS Where do you want to take your RD?
  7. 7. ©2014 IDBS I probably don’t need to tell you the benefits of electronic systems But just to name a few… Reduced entry time Reduced transcription = reduced errors Direct access to other electronic systems Searchability, searchability, searchability!
  8. 8. ©2014 IDBS But this only works if you have a system that meets your needs and is used by the scientists
  9. 9. ©2014 IDBS Typical Scenarios •With files stored on a common drive or SharePoint Paper + Excel • Still using excel for anything that doesn’t fit into LIMS Paper + LIMS • Document repository with limited search capabilities Basic ELN • And CDS ELN + LIMS and SDMS and so on…
  10. 10. ©2014 IDBS SSSSTTTTOOOOPPPP!!!! Where are you going to get the most value most quickly?
  11. 11. ©2014 IDBS What system is right, or systems? What are your overall goals and how do the requirements align with them? Have you put together the business case? By mapping functionality to requirements to goals you can ensure that the system meets the needs of the organization
  12. 12. ©2014 IDBS ELN vs LIMS vs LES vs MES vs SDMS…
  13. 13. ©2014 IDBS Common drivers will affect your project Link data to data Link data to people Link people to people 1111000011110000 0000111100001111
  14. 14. ©2014 IDBS Steps to take Requirements Project buy in System/vendor selection Project approval Implementation planning Install Configuration Training Go live System maintenance and support
  15. 15. ©2014 IDBS System Requirements Common pitfalls Too few business experts • What one user needs may not suit another user • Better option is to gather requirements from as many users as possible and focus on the core requirements All requirements are must have • Categorizing and prioritizing requirements allows you to control scope and budget, focusing on high value areas
  16. 16. ©2014 IDBS Application Integration Start simple
  17. 17. ©2014 IDBS Other things to consider Deployment Methodology • Carrot vs Stick Logistical Support • Getting all the labs ready for digital • System administration strategy
  18. 18. ©2014 IDBS The more data goes in, the more it comes out Not quite…
  19. 19. ©2014 IDBS The data management journey Enterprise analysis insight Cross collaboration Structured data process Simple structured data Capturing unstructured data Simple data modeling Low to higher risk costs / ROI minutes to years
  20. 20. ©2014 IDBS The data management journey Process execution Structured data Unstructured data
  21. 21. ©2014 IDBS The data management journey Unstructured Data •Reduced data entry time •Improved legibility •Easier to find data Structured Data •Reduced transcription •Flag deviations •Numerical and contextual search Process Execution •System integration •Eliminate errors •Enterprise insight Typical time saving: 1.5-2 hours per scientist Per week Typical time saving: 2-4 hours per scientist Per week Typical time saving: 5-7 hours per scientist per week
  22. 22. ©2014 IDBS Case Studies Examples of customer deployments
  23. 23. ©2014 IDBS VISION – lab knowledge management Clear, defined vision Large scale project Paper removal – time saving IP capture at source and easy data access Reduction of repeated experiments Duration: less than 6 months
  24. 24. ©2014 IDBS VISION – evolved over time Flexible, ambitious vision Large scale project Increased data quality Reduced collation time International process harmonization IP standardization Streamlined reporting Wanted to do more! Duration: 6 years
  25. 25. ©2014 IDBS VISION – full process integration alignment Two stage, ambitious vision Large scale project across many groups Process harmonization Real time process reporting Less errors time looking for them Holistic view of development process Foundations of QBD Duration: 1 year
  26. 26. ©2014 IDBS Measured Time Savings
  27. 27. ©2014 IDBS Before you start your journey… Define your vision Understand your drivers Focus on the ROI Create a stepwise plan Start simple!
  28. 28. ©2014 IDBS Questions? For more information, visit IDBS at Booth 104 (far left aisle) or idbs.com
  • LucasFontenelle1

    Jan. 28, 2016

The laboratory has become an increasingly electronic environment. It’s not just that the volume of data is greater than ever before, it’s also being generated at ever-increasing speeds. As companies move towards a fully integrated lab environment there are benefits and pitfalls along the way. Successful projects start with a solid foundation, and keep a clear vision in mind.

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