2016 life sciences smart data discovery & analytics forum

©2016 Cambridge Semantics Inc. All rights reserved. Company Confidential

Life Sciences Smart Data Discovery & Analytics ForumSmart Data Solutions

Jim LaPointe, Managing Director Life Sciences & Healthcare

Cambridge Semantics, Inc.September 2016

2016 Life Sciences Smart Data Discovery and Analytics Day

©2016 Cambridge Semantics Inc. All rights reserved.

Anzo Smart Data Solutions Experience

2010 2011 2012 2013 2014 2015 20161 1

4 6 6 7 60 1

34 6

15 15

0 0

1

1

3

64

0 0

0

1

0

12

0 0

3

2

6

12

6

Project Count

Research Development Commercial Healthcare Other

Increasingly diverse & complex projects across

entire R&D lifecycle

2/3 year


Smart Data Solutions

Research Use Cases1 Competitive Intelligence Aggregate & explore the

competitive landscape by Compound, TA, Indication, Target, & Company to identify researchers, potential partners & license deals

2 Epidemiology World MapAggregate and analyze WHO, CDC, country, & advocacy group health data for disease prevalence, morbidity & global trends

3 OpenPhacts Data DiscoveryLoad OpenPhacts RDF files and implement basic discovery analytics to investigate Anzo SDL scale & performance

4 Lab Integration via AllotropeIntegrate laboratory equipment data using the Allotrope standard & provide ready analytics on lab data

ResearchInvestigate interesting

compounds / biologics & key

researchers





researchers

Development Use Cases1 Clinical Trial Data Discovery

Manage clinical trial patient data for rapid meta-analysis of efficacy and safety for a TA

2 CMC (Scientific) Data MgtAggregate, search & access key research data from electronic Laboratory Notebooks (eLN) & laboratory results documents

3 Medical Advisory Board MgtAggregate & analyze MAB of global Key Opinion Leaders (KOL) to assess clinical trial results & plan future studies

4 PV & Safety Data IntakeAutomate Safety Case Report Forms intake & text mining for contextual search & MedDRA-based medical coding & curation

5 Clinical Data Standards MgtManage clinical data based on CDISC standards & integrate with downstream systems

DevelopmentProve efficacy

& safety of promising

compounds / biologics





researchers




Commercial Use Cases1 Voice of Customer (VoC) Mgt

Aggregate Medical Information Requests (MIR) from doctors & patients to determine overall sentiment & track AEs

2 Revenue Data DiscoveryAggregate and analyze product prescription data to identify sales trends, competitors, key medical professionals & potential sales concerns

3 Revenue Leakage AnalyticsAggregate & analyze revenue data from insurers and prescription scripts to understand revenue trends by exchange, doctor profiles & locations

4 Supplier ManagementAggregate, analyze & explore multi-channel supplier data from purchase exchanges and partners to better management supplier performance

CommercialMaximize product

exposure, placement, revenue &

margin


Source: Drug Discovery and Development: Understanding the R&D Process, www.innovation.org

Drug / Device R & D Takes 10 to 12 Years!

INDEFINITE

Drug Discovery Preclinical Clinical Trials FDA Review Scale-Up to Mfg.Post-MarketingSurveillance

ONE FDA-APPROVED

DRUG

0.5 – 2 YEARS6 – 7 YEARS3 – 6 YEARS

NUMBER OF VOLUNTEERS

PHASE 1 PHASE 2 PHASE 3

5250~ 5,000 – 10,000

COMPOUNDS

PRE-

DISC

OVE

RY

20–100 100–500 1,000–5,000

IND

SUBM

ITTE

D

NDA

/ BL

A S

UBM

ITTE

D


Anzo Across the Development Lifecycle

INDEFINITE


ONE FDA-APPROVED

DRUG




5250~ 5,000 – 10,000

COMPOUNDS

PRE-

DISC

OVE

RY

20–100 100–500 1,000–5,000

IND

SUBM

ITTE

D

NDA

/ BL

A S

UBM

ITTE

D

Clinical trial data integration & discovery

Medical Advisory Boards Information Management

R & D CompetitiveIntelligence

Reference pricing & revenue optimization

Clinical Data Standard Management

Supply chain management

PV & Safety Data Management

Clinical trial site selection & optimization

Real World Evidence (RWE) driven clinical trials

Pharm Dev Scientific Data Management


Anzo Across the R & D Lifecycle

INDEFINITE


ONE FDA-APPROVED

DRUG




5250~ 5,000 – 10,000

COMPOUNDS

PRE-

DISC

OVE

RY

20–100 100–500 1,000–5,000

IND

SUBM

ITTE

D

NDA

/ BL

A S

UBM

ITTE

D

R & D CompetitiveIntelligence

Clinical trial data integration & discovery

Medical Advisory Boards Information Management

Reference pricing & revenue optimization

Clinical Data Standard Management

Supply chain management

PV & Safety Data Management

Clinical trial site selection & optimization

Pharm Dev Scientific Data Management

Real World Evidence (RWE) driven clinical trials


The “Network Effect” of Smart Data Lakes

Key enablers1. Link & harmonize

diverse data

2. Managed data at ‘big data’ scale

3. Business-driven on-demand analytics

Smart Data-driven cycle-time reduction





researchers



margin




Healthcare Use Cases1 RWE-designed Clinical Trials Integrate Electronic Medical

Records (EMR) with clinical trial data to evaluate the trial results & inform future trial designs

2 Future, RWE Site Selection Aggregate & explore key RWE data to guide CT site selection and improve doctor & patient recruitment performance

3 Future, Integrate EMRsAutomate the integration and exploratory analytics of patient Electronic Medical / Health Records (EMR/EHR) via emerging HL7 & FHIR standards

4 Future, HEOR AnalyticsAggregate & provide exploratory analytics of healthcare and epidemiology data to support Health Economics & Outcomes Research

HealthcareDeliver

effective therapies &

managed outcomes





researchers



margin




HealthcareDeliver


managed outcomes

IoT (Wearables) Use Cases1 Lab Integration via Allotrope

Integrate laboratory equipment data using the Allotrope standard & provide ready analytics on lab data

2 Future, Wearables AnalyticsIntegrate wearable devices data and provide exploratory analytics to link data to patient health & outcomes

3 Future, Wearable-driven CTsIntegrate and analyze wearable devices data to monitor CT protocol compliance and reporting

4 Future, Therapy MonitoringIntegrate and analyze wearable devices data to monitor patient therapy outcomes and provide population health outcomes

IoTUtilize medical,

health & lifestyle

devices to improve

outcomes





researchers



margin




HealthcareDeliver


managed outcomes

Precision MedPatient

genomic, environment & lifestyle based

therapies

Precision Medicine Use Cases1 Future, Env & Lifestyle

AnalyticsIntegrate wearable devices data and provide exploratory analytics to link data to patient health & outcomes

2 Future, Genomic AnalyticsIntegrate patient genomic & CT data and provide exploratory analytics to link data to patient health & outcomes

3 Future, Genomic CT CohortsIntegrate patient genomic with protocol design to create genomic-based CT cohorts for improved efficacy & safety outcomes

4 Future, Your project…

IoTUtilize medical,

health & lifestyle

devices to improve

outcomes


Click here to view our webinar“Smart Data Lakes for Life

Sciences: Game Changing Data Discovery and Analytics”

Thank You!

http://info.cambridgesemantics.com/asdl-ls-webinar-recording

http://info.cambridgesemantics.com/asdl-ls-webinar-recording

2016 life sciences smart data discovery & analytics forum

Health & Medicine