Laboratory Informatics in the Digital Era...Gartner Strategic Technology Trends. Collection of...
Transcript of Laboratory Informatics in the Digital Era...Gartner Strategic Technology Trends. Collection of...
What We’ll Discuss
1. Forces and technology trends impacting
all businesses in the “Digital Era”
2. CIO priorities
3. IT environment for Scientific Industries
4. How technology will enable laboratory
innovation transformation
Strategic Technology Trends & IT
CIO Priorities
Scientific Industries
Lab IT
#3 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.
Forces Impacting All Businesses
Massive Collaboration -
Cross-organization
Any X Connectivity –
device, platforms
Complexity Increases
Big Data & Analytics
Cloud Technology
Distributed Infrastructure
Technologies Supporting “The Nexus of Forces” Enable Business Transformation
The Collision of the Nexus of Forces andthe Internet of Things …
2009: 1.6B personal devices + 1B “things” 2020: 7B personal devices + 30B “things”
… 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.
9
Of the PHYSICAL…
…with the DIGITAL
CONVERGENCE
Where nearly every asset, consumable, biologic, process, chemical, etc.
will have a data associated
#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.
Gartner Strategic Technology Trends
Collection
of Devices,
Information,
Apps, Services
around individuals
Extract greater
meaning from a
rapidly expanding
set of sources
technology architectures and platforms must change
to support the world of digital and autonomous business enabled
by the digital mesh and smart machines
Top 10 Strategic
TechnologyTrends
#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.
What Are the CIO Priorities?
IT FTEs as % of Revenue
IT FTEs as % of Total Employees
= Reduced Internal Capabilities!
cross industry avg = 3.4%
cross industry avg = 4.8%!
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 do I better protect my data in shared environments?
“How can I leverage scientific data and insights more broadly?
How do we improve collaboration for experiments?
CIO Top Priorities Contextualized for Laboratory IT
#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.
Meanwhile, What is the Lab IT Environment for Scientific industries?
The New Normal with Distributed R&D & Supply Chain
CompanyPAST FUTURE
External Partners Internal Capabilities
Internal
InnovationExternal Contract /
Transactional Innovation
Distributed Shared
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
PRESENT
“Shadow IT” Dominates R&D Informatics
R&D Activities
Externalization…What does the Enterprise Really Know?
R&D “dark art”
Vendor Myths
Vaporware promises
Innovation on the Fringe
New Technology
Vision
Laboratory IT Application Trend
Customization Platform-strategy
Valu
e
SDMS
RequestELN 1
LIMS 2
LIMS 1
CDSELN 2
Pipeline
Inventory
Too many vendors (Rationalize Harmonize)
EDS
Lower Quality
Higher Costs
Lower Efficiency
Difficult Innovations
=
Vendor A
Vendor B
Vendor Z
Laboratory IT Application Trend
Customization Platform-strategy
Valu
e
SDMS
RequestELN 1
LIMS 2
LIMS 1
CDSELN 2
Pipeline
Inventory
EDS
Too many vendors (Rationalize Harmonize)
Vendor A
Vendor B
Vendor Z
Laboratory IT Application Trend
Customization Platform-strategy
Valu
e
SDMS
Request
LIMS 2
LIMS 1
CDSELN 2
Pipeline
InventoryELN 1
EDS
E-Lab Informatics Platform Strategy
Higher Quality
Lower Costs
Higher Efficiency
Easier Innovations
=
Lab Informatics Platform When adds value
Hyped Informatics Technology
Source: Gartner (FEB 2014)
ELN“3.0”
Enterprise LIMS “4.0”
Lab Informatics
Suites
QA/QC ELNBio ELN Chem ELN
Generic ELN
SaaS ELN
Cloud ELN
QM LIMS
Research LIMSELN-provided
by LIMSSaaS LIMS
Lots of “Bit Players.” Few Enterprise PartnersVendor Info
VendoreCLINICAL CDM IVRS IWRS eCOA ePRO CTMS Clinical
Data
Warehou
se
EDC PV
Monitorin
g
Safety / Adverse
Event Reporting
System
eSubmissi
on
Clinical
Site
Monitorin
g
Analytics
Product Names
Lab Informatics components categories as claimed by vendors
~ 80
“Lab
Informatics”
component
vendors
tracked
VERY FEW “ENTERPRISE” VENDORS
Most lack broad functionality.
Most lack execution
Most don’t have global coverage
Most are built on old architectures
Solution Suitability
A
B
C
D
E
F
G
H
I
J
K
L
Solution Suitability for R&D IT
Core Configuration Customization
Very Low Low Medium High Very High
Gartner, Inc (2015) $$’s $$$’s$’s
Yes, the capabilities Increase…..but….
the long term IT complexity, validation challenges & costs increase, too.
CORE CONFIGURE CUSTOMIZE
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What does this mean for Laboratory IT?
How to understand the relationships?
Today’s Challenges Will Be Overcome Creating Significant Opportunities
The Inevitable.
But the type of cloud will need to be matched to workflow, needs,
risk aversion, etc.
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
Gartner Prediction – ELN challenges
Predicts 2014: Manufacturer R&D Gets Smarter About Innovation in the Digitalized Era
02 December 2013 G00259030
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
Gartner Prediction – Big Data Project Challenges
Predicts 2016: Digital Generates Business Value Opportunities in Life Science 02 December 2015 G00292201
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.
Gartner Prediction – Multiples R&D Issues
Predicts 2016: The Rise of Digital R&D Without Borders
01 December 2015 G00291729
Business
People
Things
• Focus: Leverage new data sources and drive informed decisions
• Outcome: Newbusiness models leveraging new entities
Electronic
Digital
Paper
Era
The Digital Lab Journey Is Going to Be Wild
QR code recognition built into Process
With built in Compliance
Improved System of Record
..Leverage Laboratory Execution
To make this work…
People(Scientist, Managers, Collaborators)
SystemsLaboratory and R&D Workflows; Informatics, S/W.
Internet-Connected ThingsLab Equipment, Labels, Sensors, Beacons, RFID,
Smart Phones, Wearables (Glasses, watches) Keycards, Tablets.
“smart” products
Dynamic processesContext, Analytics, ITCreative, Insightful
Connect Devices, Systems (point to point)
Collect observe and experiment (point to point)
Model & Simulate characterize products
Innovate systems
Transform
Increasing Laboratory IoT Maturity Requires Evolutionary Investment and New Skills
Different Ascendancy Phases of IoT
Prescriptive
Predictive
Descriptive
What is the Enteprise
value of IoT
Analytics?
Beacons, sensors, IoT Infrastructure
IoT Analytics and visualization, semantic enrichment
IoT, HPC, graph computing
IoT Autonomics, ML, rules engines
Diagnostic
“smart”, AI, VPAs, “Cognitive” IoT
(1) Incremental and layered technology
investments, (2) process changes and (3) new skills required
Level 1 Level 2 Level 3 Level 4 Level 5
Initial /
Unaware
Opportunistic /
Visible
Organized /
Proactive
Enterprise /
Business
Partnerships
Transformative
/ Business
Differentiation
IoTMaturity
What is required of IT, skills,
processes, technology?
Now…
….Imagine Your Lab of the Future…
Connect Devices, Systems (point to point)
Collect observe and experiment (point to point)
Model & Simulate characterize products
Innovate systems
Transform
Start with Imagining the Journey.
“ Tomorrow, Our scientists will be able to __________.”
Today
In 2 Yrs
In 5 Yrs
Going Digital Requires New Working Parts
How to select the right ones
to work together?
How to put these into motion?
How to manage hype and portfolios?Technology "Hype"
Systems of Record
Systems of Differentiation
Systems of Innovation
Pace Layer Approach
Maturity
From, "Hype Cycle for Life Sciences, 2014," 30 July 2014 (G00264354)
Image Source: Shutterstock
Can you execute
BiModal IT and
Manage it?
Which Technology
Bets?
Who Can Do it?
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.
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