1 © 2014 PerkinElmer
HUMAN HEALTH • ENVIRONMENTAL HEALTH
PerkinElmer Signals™ Perspectives
For Clinical Development
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Clinical Analytics and Data Provisioning
Central Repository
Well-governed File Share
SDTM
data Non-SDTM EDC data,
IVRS data, Safety, CTMS
Central
Labs
PerkinElmer SignalsTM Perspectives
A Enrichment &
Normalization
UNIFY PROVISION
Clinical Analytics
Catalog,
Merging & Versioning
Public Data,
Outcomes Data
Data Discovery & Identification
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Clinical Data Repository
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Unifying Study Data (SDTM)
Necessary Capabilities
◦ Find existing DataMarts to
reuse
◦ Search for and add existing
data files
◦ Add new data files ad hoc
◦ Automatically identify data
types
◦ Automatically create
relationships between data
sources
◦ Merge multiple versions of
data into a single source
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Versioned Study Data Workflow
Data
File
Storage
Version
Merging
Data
Normalization
Data
Mart
Data
Analysis
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Provision Data Marts for Analytics
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Data Analysis with Versioning
Rapidly change between
different timepoints of data
collection from during the study
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Merging Data Across Studies (SDTM & non SDTM)
Necessary Capabilities
◦ Search for data from other studies
◦ Automatically detect possible
relationships to data
◦ Provision to analytics
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Universal Adapter learns as it is used
Existing catalog,
column headers
Metadata
Content
Overlap
Synonym dictionaries,
ontologies
User defined joins
Datamart, DataSource
and column tags
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Study Data Workflow
Data
Mart
Data Analysis
Study 1 (SDTM)
Study 2 (non SDTM)
Extended Data Mart
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Get a 360° View of Available Data
A Enrichment
Classify
Provision Ingest
Semi
structured
Unstructured
JDBC
Flat file (ad-hoc or
fileshare
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Scientifically Aware Text Analysis A
• Text is enhanced through the application of scientifically aware dictionaries and ontologies.
• Context is understood (e.g. Hedgehog)
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Scientifically Aware Text Analysis A
• Pattern recognition can be applied for further semantic enrichment & data joins
Sample ID Test type:
wet grab Value Unit
V = 3.2 Pa.s (25ºC)
Value Unit Temperature
If “PKI-<number>”
then [SampleID] distance [Test Type] to [Unit] < 4 words
Can now join with additional data sources
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Key Takeaways
PKI clinical
app framework
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Thank You