Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy

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Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
Laboratory Informatics in the
        Digital Era
                                         Michael Shanler
                Research Vice President, Life Science R&D
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
Dynamic Recombination
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
What We’ll Discuss
                                                                Scientific
1. Forces and technology trends impacting                      Industries
  all businesses in the “Digital Era”

2. CIO priorities
                                               Strategic
                                              Technology
3. IT environment for Scientific Industries   Trends & IT

                                                                 Lab IT
4. How technology will enable laboratory
                                              CIO Priorities
  innovation transformation
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
Forces Impacting All Businesses

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Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
We Are in the Beginning…

                           …of a Digital
                           Renaissance
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
Technologies Supporting “The Nexus of Forces” Enable
Business Transformation

    Massive Collaboration -           Any X Connectivity –
      Cross-organization                 device, platforms

     Complexity Increases             Cloud Technology
       Big Data & Analytics          Distributed Infrastructure
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
The Collision of the Nexus of Forces and
the Internet of Things …
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
The Collision of the Nexus of Forces and
the Internet of Things …

      2009:   1.6B personal devices + 1B “things”      2020:   7B personal devices + 30B “things”
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
… Has Spawned “Digital Business”

 Digital Business Is the Creation of
   New Business Designs by Blurring
   the Digital and Physical Worlds.

 Digital Business Is Specifically
   Focused on Peer Exchange and
   Communication Between:
   Business (Including Process and
   Information), People and Physical
   Things as Equal Entities.
Laboratory Informatics in the Digital Era - Michael Shanler Research Vice President, Life Science R&D - Paperless Lab Academy
CONVERGENCE
 9

                                         Of the PHYSICAL…

  …with the DIGITAL

Where nearly every asset, consumable, biologic, process, chemical, etc.
                      will have a data associated
What Can we Learn from Yelp
       about “Convergence”?

Monocle
Gartner Strategic Technology Trends

#11 CONFIDENTIAL AND PROPRIETARY | © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it's affiliates.
Collection
                                                                                        Extract greater
   of Devices,
                                                                                       meaning from a
   Information,
                                                                                       rapidly expanding
  Apps, Services
                                                                                        set of sources
around individuals

    Top 10
  Strategic
Technology
    Trends

                            technology architectures and platforms must change
                     to support the world of digital and autonomous business enabled
                                  by the digital mesh and smart machines
What Are the CIO Priorities?

#13 CONFIDENTIAL AND PROPRIETARY | © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it's affiliates.
Life Science IT Spending – Where’s the money going?
         Run              Grow      Transform

                                                Innovation
IT FTEs as % of
                             Revenue
cross industry avg = 3.4%

                             IT FTEs as % of
                             Total Employees

                              = Reduced Internal
cross industry avg = 4.8%!       Capabilities!
CIO Top Priorities Contextualized
            for Laboratory IT

    How do I better understand what is happening in my test?

          How do I improve the ROI of my Lab IT Systems?

How do I scale globally (or reduce costs of on-premises IT)?

                 How do I offer better remote capabilities for labs?

     “How can I leverage scientific data and insights more broadly?

          How do I better protect my data in shared environments?

   How do we improve collaboration for experiments?
Meanwhile, What is the Lab IT Environment
         for Scientific industries?

#17 CONFIDENTIAL AND PROPRIETARY | © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it's affiliates.
The New Normal with Distributed R&D & Supply Chain

       External Partners      Internal Capabilities

PAST                    Company         PRESENT                                              FUTURE

             Internal
                                                         External Contract /     Distributed Shared
           Innovation
                                                      Transactional Innovation       Innovation

• Technology-based strategic partners to execute clinical development activities
• Increased collaboration, increased access
• Globalized infrastructures for sharing very complex R&D / Manuf. data
• Extreme agility required for clinical insights delivered via analytics
Externalization…What does the Enterprise Really Know?

R&D “dark                                                  Innovation
  art”                                                       on the
                                                             Fringe
 Vendor
                                   R&D
 Myths                                                        New
                                 Activities
                                                           Technology
Vaporware
 promises                                                    Vision

                   “Shadow IT” Dominates R&D Informatics
VELOCITY                                 VOLUME

                                BIG
                               DATA

    VARIETY                           COMPLEXITY
[Image Source: Shutterstock]
Application Complexity: How Many Apps Do You Really Use?
Need? Want?
Laboratory IT Application Trend
                                                                         Lower Quality
               Too many vendors                                          Higher Costs
           (Rationalize  Harmonize) =                                Lower Efficiency
                                                                   Difficult Innovations
                        Vendor
          Vendor          B
  Value

            A
                             SDMS       LIMS 1
                     ELN 2      CDS                   Vendor
          Pipeline                                      Z
                       EDS             LIMS 2
             ELN 1           Request      Inventory

                     Customization                         Platform-strategy
Laboratory IT Application Trend
               Too many vendors
           (Rationalize  Harmonize)
                        Vendor
          Vendor          B
  Value

            A
                             SDMS       LIMS 1
                     ELN 2      CDS                   Vendor
          Pipeline                                      Z
                       EDS             LIMS 2
             ELN 1           Request      Inventory

                     Customization                         Platform-strategy
Laboratory IT Application Trend
                                                                           Higher Quality
           E-Lab Informatics Platform                             =          Lower Costs
                    Strategy                                             Higher Efficiency
                                                                       Easier Innovations
  Value

                             SDMS       LIMS 1
                     ELN 2      CDS
          Pipeline
                       EDS             LIMS 2
             ELN 1
                                                      Lab Informatics Platform   When adds
                             Request      Inventory
                                                                                   value
                     Customization                         Platform-strategy
Hyped Informatics Technology

                                                ELN-provided
                                                                        Research LIMS
                                                  by LIMS
           SaaS LIMS

        SaaS ELN                                                          Enterprise   QM LIMS
                                                                          LIMS “4.0”

      Lab Informatics                              ELN
          Suites           Cloud ELN               “3.0”
                                                                                  Generic ELN
                              Bio ELN                      Chem ELN   QA/QC ELN

                   Source: Gartner (FEB 2014)
Lots of “Bit Players.” Few Enterprise Partners
 eCLINICAL   CDM   IVRS   IW RS   eCOA   ePRO   CTMS
                                                       Pr oduct

                                                           Dat a
                                                                  Nam

                                                           Clinical
                                                                     es

                                                                       EDC    PV
                                                                              M onit or in
                                                                                             Safet y
                                                                                             Event
                                                                                                     / Adver se
                                                                                                     Repor t ing
                                                                                                                   eSubm
                                                                                                                   on
                                                                                                                        issi   Clinical
                                                                                                                               Sit e
                                                                                                                                              Analyt ics

                                                           W ar ehou          g              Syst em                           M onit or in
                                                           se                                                                  g

                          Lab Informatics components categories as claimed by vendors

    ~ 80
                                                         VERY FEW “ENTERPRISE” VENDORS
    “Lab
Informatics”                                                           Most lack broad functionality.
component                                                                    Most lack execution
 vendors                                                           Most don’t have global coverage
  tracked                                                         Most are built on old architectures
Solution Suitability for R&D IT
    Solution Suitability
                      L

                      K

                      J

                      I
                                     Yes, the capabilities Increase…..but….
                      H
                the long term IT complexity, validation challenges & costs increase, too.
                      G

                      F

                      E

                      D

                      C         CORE                    CONFIGURE               CUSTOMIZE
                      B

                      A

                          Very Low     Low     Medium       High   Very High

                                 Core           Configuration            Customization
Gartner, Inc (2015)            $’s                   $$’s                      $$$’s
Lab
Informatics
experience
has been a
giant, sticky
   mess.

                So…What to Do?
How to understand the relationships?

             Today’s Challenges                                                                                                                                                        Will Be Overcome Creating
                                                                                                                                                                                        Significant Opportunities

            What does this mean for Laboratory IT?

#29 CONFIDENTIAL AND PROPRIETARY | © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it's affiliates.
The Inevitable.

But the type of cloud will need to
be matched to workflow, needs,
        risk aversion, etc.
Gartner Prediction – ELN challenges

By 2017, 80% of ELN* will underperform due to
changing R&D needs and unsustainable service
models, requiring replacement or overhauls.
                                                                         *process and data workflows

Predicts 2014: Manufacturer R&D Gets Smarter About Innovation in the Digitalized Era
02 December 2013 G00259030
Gartner Prediction – Big Data Project Challenges

By 2019, 30% of the top 100 life science R&D IT
organizations will have successfully moved big
data projects from proof of concept (POC) and
pilots into production.
                                                                          *process and data workflows

Predicts 2016: Digital Generates Business Value Opportunities in Life Science
02 December 2015 G00292201
Gartner Prediction – Multiples R&D Issues

By 2018, (only) 15% of manufacturers will use turnkey solutions to translate
scientific information into engineering-based new product development
(NPD) actions.

By 2019, the blurring of industry boundaries will drive 25% of major R&D
activities, enabling brand-new digital products and services.

 By 2018, 90% of scientific R&D organizations will struggle entering the
"digital era," due to hurdles with legacy laboratory systems and unfamiliar
IoT environments.

Predicts 2016: The Rise of Digital R&D Without Borders
01 December 2015 G00291729
The Digital Lab Journey Is Going to Be Wild

                                                • Focus: Leverage
                                                  new data sources
                                                  and drive informed
                                                  decisions
 Era
                                                • Outcome: New
                                    Digital       business models
                                                  leveraging new
                                                  entities

                                              People
                                 Electronic
                                              Business
                                              Things
                                    Paper
Now imagine a Yelp Monocle (AR) + Laboratory Performance
No Longer Is this Science Fiction
QR code recognition built into Process
                                    ..Leverage Laboratory Execution

Improved System of Record

                            With built in Compliance
Protocol & Consumables Information on Demand

                                       ..Record into ELN or LIMS
Location Services With Security + Authentication

                                             Warm up the HPLC
                                              before you arrive
Define Your Future
To make this work…

                                                                       Systems
                        People
                                                        Laboratory and R&D Workflows; Informatics, S/W.
        (Scientist, Managers, Collaborators)

 Creative, Insightful                 Context, Analytics, IT                Dynamic processes

                          Internet-Connected Things
                          Lab Equipment, Labels, Sensors, Beacons, RFID,
                  Smart Phones, Wearables (Glasses, watches) Keycards, Tablets.
                                                                        “smart” products
Increasing Laboratory IoT Maturity Requires Evolutionary
Investment and New Skills                 What is required of IT, skills,
                                                                                                       processes, technology?
                    Different Ascendancy Phases of IoT
                                                                                                     (1) Incremental and
                                                                                                      layered technology
                                                                                                        investments, (2)
                                                           Prescriptive                             process changes and
   What is the Enteprise                                                                            (3) new skills required

      value of IoT
                                                Predictive                   Transform             “smart”, AI, VPAs, “Cognitive” IoT
       Analytics?
                                                                    Innovate systems          IoT Autonomics, ML, rules engines

                         Diagnostic              Model & Simulate characterize products              IoT, HPC, graph computing

           Descriptive                    Collect observe and experiment (point to point)
                                                                                      IoT Analytics and visualization, semantic enrichment

                                      Connect Devices, Systems (point to point)             Beacons, sensors, IoT Infrastructure

                 Level 1         Level 2              Level 3                Level 4               Level 5
       IoT
      Maturity   Initial /       Opportunistic /      Organized /            Enterprise /          Transformative
                 Unaware         Visible              Proactive              Business              / Business
                                                                             Partnerships          Differentiation
Now…

….Imagine Your Lab of the
Future…

                                                                  Transform

                                                          Innovate systems

                                       Model & Simulate characterize products

                                Collect observe and experiment (point to point)

                            Connect Devices, Systems (point to point)
Start with Imagining the Journey.
“ Tomorrow, Our scientists will be able to __________.”

                         In 5 Yrs

          In 2 Yrs

Today
Going Digital Requires New Working Parts
         Maturity
                                                                                                         How to select the right ones
                                             Who Can
                                              Do it?                                                      to work together?
                                                                                                         How to put these into motion?
  Technology "Hype"                                                                                      How to manage hype and portfolios?
                                            Which
                                          Technology
                                            Bets?

                                           Can you
 Pace Layer Approach
 Systems of Innovation
                                           execute
Systems of Differentiation
                                          BiModal IT
                                             and
   Systems of Record
                                          Manage it?
                    From, "Hype Cycle for Life Sciences, 2014," 30 July 2014 (G00264354)
                                                                                           Image Source: Shutterstock
The future is unknown, but the technology precursors for
big changes are here, today.
  The ability to live with that uncertainty and then embrace it
      quickly will be a key success factor in the future.

 Help the stakeholders visualize new business
opportunities that are enabled by IT and technology.
Thank You
Supplemental
https://d0.awsstatic.com/whitepapers/complianc
         e/Using_AWS_in_GxP_Systems.pdf

https://aws.amazon.com/compliance/gxp-part-11-annex-11/
mHealth Apps to capture analog data, remotely.

                                  Even pull data from Analog,
                                   Unconnected equipment
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