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©2015 Cambridge Semantics Inc. All rights reserved. Clinical Trial Site Intelligence (CTSI) An Anzo Smart Data Lake™ Solution

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Page 1: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Clinical Trial Site Intelligence (CTSI)An Anzo Smart Data Lake™ Solution

Page 2: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Life Sciences Use Case Clinical Trial Site Intelligence (CTSI)

Page 3: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Cambridge Semantics

Cambridge Semantics is the creator of the Anzo Smart Data Lake ™ (ASDL) Based on semantic web technology, the ASDL provides an end-to-end graph-based data integration, discovery, management, and analytics technology platform. Cambridge Semantics delivers Smart Data solutions for Life Science companies including R&D Intelligence, Scientific Affairs, Clinical Data Integration, clinical site selection, and much, much more… • Founded in 2007 by senior members of IBM’s Advanced Internet Technology Group• The Anzo software suite is built on World Wide Web Consortium (W3C) open data standards and 13+

years of R&D• The award-winning Anzo software suite is our 3rd generation implementation of semantic web

technologies

Page 4: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Cambridge Semantics

Cambridge Semantics is the creator of the Anzo Smart Data Lake ™ (ASDL) Based on semantic web technology, the ASDL provides an end-to-end graph-based data integration, discovery, management, and analytics technology platform. Cambridge Semantics delivers Smart Data solutions for Life Science companies including R&D Intelligence, Scientific Affairs, Clinical Data Integration, clinical site selection, and much, much more… • Founded in 2007 by senior members of IBM’s Advanced Internet Technology Group• The Anzo software suite is built on World Wide Web Consortium (W3C) open data standards and 13+

years of R&D• The award-winning Anzo software suite is our 3rd generation implementation of semantic web

technologies

Page 5: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

What is SMART Data?

RELATE ‘LIKE’ DATA

(contextualize)

EXPLORATO

RY ANALYTICS (graph-ware)

LINKED DATA (diverse sources)

LINKED DATA- Structured

(Relational DB, Excel, …)

- Semi-structured (XML, HTML, …)

- Unstructured (PDF, Word, email, …)

- Industry standard data structures (RDF)

EXPLORATORY ANALYTICS- Immediately query ALL the data in the graph DB- Simple self-service analytics with familiar Excel-like functions- Industry standard query structures (SPARQL)

RELATE ‘LIKE’ DATA- Associate related

concepts in a flexible & extensible graph DB

- Understand the data in a human-readable ontology

- Immediately operationalize the data in a machine-readable graph DB

- Industry standard data modeling (OWL)

Page 6: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

On Tuesday, Drugs123 Inc. announced phase 1 development of their newest sleep aid therapeutic, Narcoleptol.

On Tuesday, Drugs123 Inc. announced phase 1 development of their newest sleep aid therapeutic, Narcoleptol.

Smart Data - Linked & Contextualized Data with Semantics

Company Website Mkt Cap

Bio Corp biocorp.com $2.2B

Drugs123 drugs123.com $930M

… … …

Competitive Company Database

Company

Drugs123

930,000,000

name

marketcap

drugs123.com

website

Web news

Drug Development

1

developmentstage

activityDrug

developing

Insomnia

indication

Narcoleptol

brandname

Intelligence Review System

Note

about

3/7/2012

Initial safety signals are …

when

note

Page 7: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Standards-based Smart Data

Semantic web technology built with World Wide Web Consortium (W3C) standards Scale & diversity of data on the web Ever-changing environments

Semantic web enables Smart Data by providing: RDF (Resource Description Framework) - A flexible and logical graph-based data model

that can consider data from any source => reduced development time and cost

OWL (Web Ontology Language) - An human understandable conceptual model of entities and relationships designed for business analysts and knowledge workers

=> improved application quality, iterative / investigative approach SPARQL – A complete, high-performance query language standard for accessing RDF data

where IT-intensive skills are not needed to access the underlying data structures => reduced development time and cost

W3C Open Standards – A backbone for industry-specific standards Benefit from industry standards e.g. CDISC, MedDRA, SNOMED, OpenPhacts …

=> improved data quality & interoperability

Page 8: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Exploratory Analytics (Graph-aware)

Page 9: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

The Anzo Smart Data Platform™

An agile, end-to-end, platform for tackling diverse information challenges

Link and contextualize information for search, analytics, visualization and collaboration

Page 10: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

The Anzo Smart Data Lake™

Data SourceIngestion

Link &Contextualize

Discovery Analytics

Insight Realization

Structured Unstructured

. . .

. . .

Anzo Smart DataIntegration (ASDI)

Anzo Smart Data Lake (ASDL) Server

Anzo Graph QueryEngine (AGQE)

Anzo on theWeb (AotW)

Company’sInformation Fabric

Semi-structured

Page 11: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Anzo Smart Data Lake™

Server

The Anzo Smart Data Lake™

Anzo Smart Data Integration

Server

Anzo Discovery and Analytics

Server

…..

Data Discovery and Analytics

Anzo Discovery and Analytics

Server

Anzo Smart Data Lake™

Server

Anzo Graph Query Engine….

Graph Storage and Cataloging

Integration - Ingestion and Linking

Anzo Smart Data Integration

Server

Anzo Smart Data Integration

Server

ExistingHadoop Data Lake

EnterpriseData Sources

Page 12: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Engi

neer

ing

Dem

onst

ratio

n

Anzo Smart Data Lake™ is “Big Data” Analytics

Early Adopters

0

20

40

60

80

100

120

Act

ive

RD

F Tr

iple

s (B

illio

ns)

Driving Insights from

“Big Data” Analytics

Page 13: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Sample Life Sciences Use Cases

• Clinical Data Standards Management - Manage the development integration of clinical metadata standards at multiple levels

• PV & Safety Data Management - Automated tagging of safety Case Report Forms (CRF) with customized curation workflow & text mining and contextual search

• R&D Competitive Intelligence – Explore the competitive landscape for Therapeutic Area, Indication, Target, Company, Compound, & Partners

• Clinical Trial Data Integration and Discovery - Create a semantic data lake for clinical trials within one or more Therapeutic Areas for analytics & decision support

• Real World Evidence (RWE) Driven Clinical Trials - Create a semantic data lake across clinical and healthcare EMR RWE for data analytics & decision support

• Clinical Trial Site Selection and Optimization - Clinical trial site selection, Key Opinion Leader (KOL) search & review, & trial site startup planning

• Scientific Affairs/Medical Science Liaisons - Track Key Opinion Leaders (KOL) in literature and clinical trials & analyze feedback from medical professionals and patients

• Information Landscape - Track and monitor data stewardship and usage through the organization to drive more efficient usage.

• Taxonomy Management - Blend taxonomies from different sources including versioning, de-duplication, & matching

Page 14: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Sample Life Sciences Use Cases

• Clinical Data Standards Management - Manage the development integration of clinical metadata standards at multiple levels

• PV & Safety Data Management - Automated tagging of safety Case Report Forms (CRF) with customized curation workflow & text mining and contextual search

• R&D Competitive Intelligence – Explore the competitive landscape for Therapeutic Area, Indication, Target, Company, Compound, & Partners

• Clinical Trial Data Integration and Discovery - Create a semantic data lake for clinical trials within one or more Therapeutic Areas for analytics & decision support

• Real World Evidence (RWE) Driven Clinical Trials - Create a semantic data lake across clinical and healthcare EMR RWE for data analytics & decision support

• Clinical Trial Site Selection and Optimization - Clinical trial site selection, Key Opinion Leader (KOL) search & review, & trial site startup planning

• Scientific Affairs/Medical Science Liaisons - Track Key Opinion Leaders (KOL) in literature and clinical trials & analyze feedback from medical professionals and patients

• Information Landscape - Track and monitor data stewardship and usage through the organization to drive more efficient usage.

• Taxonomy Management - Blend taxonomies from different sources including versioning, de-duplication, & matching

Page 15: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Life Sciences Use Case Clinical Trial Site Intelligence (CTSI)

ObjectiveIntegrate external curated global clinical trial subscription data, such as Citeline, Cortellis, PubMED, & CT.gov with internal operational site data to support site & Principal Investigators (PIs) selection and management. Provide a solution to capture site & PI operational experience data for wider company use. Provide high-value, reusable & controlled analytics for many users

Potential users: Power users: Site Selection (Clin Ops), Data Management, Clinical Study Teams Casual users: Clinical Operations, PV / Safety, Medical Affairs

Features BenefitsDiscover – Explore related Citeline, Cortellis, PubMED, & CT.gov content to identify PIs, Sites and Trials of interest

Access a single, unified source for global clinical trial data

Manage – Flexibly manage internal content of investigators and sites operational experience, capture Sponsor/CRO user feedback, curate (annotate) these data

Better site & PI selection & management using a single, unified source of industry & company operational clinical trial data

Analyze – Interactively analyze PIs and Site lists at all levels including Country, Site and TA.

Rapid answers to ‘what-if’ questions and data exploration: hours / days versus weeks / months

Page 16: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Life Sciences Use Case Clinical Trial Site Intelligence (CTSI)

Roll-up, traverse, filter and visualize data across CTSI and Citeline

Trial

Investigator

SiteStatus

DiseaseAddressPatient

Segment

TA

Country

Organization

Phase

TrialtroveSitetroveCTSI

List Entry

Site List

Entry Site

User

SiteStatus

StatusFeedbackTierCategory…

Specialty

Page 17: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Life Sciences Use Case Clinical Trial Site Intelligence (CTSI)

Demo

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©2015 Cambridge Semantics Inc. All rights reserved.

Life Sciences Use CaseClinical Trial Site Intelligence (CTSI)

Anzo Unstructured (AU) Pipeline Orchestrator & Monitor

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Page 20: Sdl use cases

©2015 Cambridge Semantics Inc. All rights reserved.

Life Sciences Use CaseClinical Trial Site Intelligence (CTSI)

Demo