Semantic web mining for Pharmaceutical Business Intelligence

Applying Semantic Web Mining to Analyze Global Research Activityand Render Business Intelligence

David CockerMDCPartners Belgium

Clinical Trial Disclosures Bethesda

The views and opinions expressed in the following PowerPoint slides are those of the individual presenter and should not be attributed to Drug Information Association, Inc. (“DIA”), its directors, officers, employees, volunteers, members, chapters, councils, Special Interest Area Communities or affiliates, or any organization with which the presenter is employed or affiliated.

These PowerPoint slides are the intellectual property of the individual presenter and are protected under the copyright laws of the United States of America and other countries. Used by permission. All rights reserved. Drug Information Association, DIA and DIA logo are registered trademarks or trademarks of Drug Information Association Inc. All other trademarks are the property of their respective owners.

2www.diahome.orgDrug Information Association

You can use my slides if you want…

• What is Business intelligence?• What is semantic web mining? • How can you use the data from the web to augment

strategy?• More disclosure means more data to evaluate! • Output data treatments

Basic flow of this presentation

Drug Information Association www.diahome.org 3

• Data which is useful to a commercial company• Supports an assumption(s)• Monitors strategy• Help notice a change in homeostasis• GET QUICKER TO THE TRUTH

What is business intelligence


Make better choices

Development Plan

Scientific Question Protocol Enrolment Retention Data

analysis

Submission access to market

Disease management knowledge

Competitive intelligence update

Engaging with Key Opinion Leaders

Other Medical-Marketing Activities

Supporting Value Demonstration

Engaging with Key Opinion Leaders

Competitive intelligence update

Disease management knowledge

Decision Lifecycle

Planning Phase

Implementation Phase

Requirements

Specification

Design

Alignment

Execution & Monitoring

Rapid Response to Change

Security

Quality Assistance

Decision Engineering…..when do you need the info

These changes have led to reduced warning times and compressed decision cycles.

Interdependence and complexity, creating greater uncertainties, systemic risk and a less predictable future.

Scientific Question

Retention

How can you use the data from the web to augment strategy

How can you use the data from the web to augment strategy


The Big Bang

What is semantic web mining?

What is semantic web mining?


Ontology Vocabulary

Proof

Trust Rules

Look up an animal on Google:• Dog• Cow • Armadillo

No concept of animal

No concept of musical

What is semantics?It’s easier if you are a human

04/13/2023

Various sources available

Information

TopicTopic

Diseases Respiratory Tract Diseases

Lung Diseases

Lung Diseases, Fungal

Lung Diseases, Interstitial

Lung Diseases, Obstructive

Asthma

Bronchitis

Pulmonary Disease, Chronic Obstructive Bronchitis,

Chronic

Lung Diseases, Parasitic

Lung Neoplasm's

Nose Diseases

Pleural Diseases

Respiration Disorders

Eye Diseases

Male Urogenital Diseases

Treatment mapping

Condition Treatment useSubstance

COPD

Condition

04/13/2023

Inferred data

Inferred data

Bad Lauterberg Germany

investigator Site

ConditionTreatment

use

Substance

Sponsor Trial

Top KOL

http://www.roche.com/med-cor-2008-06-10Results from Manual Search

What a hit

Inferred data: source CT.gov


Argentina, Buenos Aires

Hospital Britanico-Buenos Aires

Ciudad Autonoma de Buenos Aires, Buenos Aires, Argentina, C1280AEB

UAI Hosp. Universitario

Ciudad Autonoma de Buenos Aires, Buenos Aires, Argentina, C1437BZL

Sanatorio Otamendi

Ciudad Autonoma de Buenos Aires, Buenos Aires, Argentina, C1115AAB

Instituto del Corazon Denton A. Cooley

Ciudad Autonoma de Buenos Aires, Buenos Aires, Argentina, C1416A

HIGA Hospital Interzonal General de Agudos Oscar Allende

Mar del Plata, Buenos Aires, Argentina, 07600 Clinica Independencia MunroMunro, Buenos Aires, Argentina, 01605

Hospital Italiano de CordobaCordoba, Argentina, X5004 FJE Sanatorio AllendeCordoba, Argentina, X5000JHQ Instituto de Cardiologia J.F. CabralCorrientes, Argentina, W3400AMZ

Inferred data with added information from PubMed


Where are the new trials going ?

Oncology Diabetes

??? ???

1 2 3 4 5 6 7 8 9 100

10

20

30

40

50

60

Economic blockAfricaAsiaCentral AmericaChinaEurope EastIndiaMiddle EastRussiaSouth AmericaSouthern Hemisphere

Enrolment statistics over Diabetes, Blue chip, ignoring the economic blocks North America, Europe, Europe West, Japan

Trial count

Liver Cancer

Meta-analysis of all trials in Liver Cancer

Diabetes

Meta-analysis of all trials in Diabetes

Individuals who can help you in your research

Profiling

Sponsor activity Drug research sponsored Investigator Institutional score Therapeutic

Academic score

Number of trials active, recruiting and completed, for a given organisation or department

specific drug or drug class research as an active sponsor

Individuals found in trial registries, regulatory websites & publishers on clinical trial activity Impact assessment of TA-targeted publications

Ranked assessment of the organisation by weight of publications pertaining to the therapy area

Organization Ranking System

60 1 302 30

TA specific Journal categories:

• Top 10%: High Impact Journal (HIJ)• 11 – 40%: Medium Impact Journal (MIJ)• 41 – 100%: Low Impact Journal (LIJ)

Person Academic score

Calculation of scores

snips of data sources

KOL profileTop centre in DMT2

Sponsor conducting trial @

Company disclosure $$

Participated in trials

Expert in regulatory review

Works with ABC Pharma Co. on new GLP-1

Information rendered Data Source examples

Well he knows his stuffDiabetes. And works for hospital X PubMed

OH, he’s worked for Sponsor on xyz wonder drug last year. clinicaltrials.gov

And he gets money from XYZ Pharma Co. as a speaker Corporate databases

He’s been an investigator for a while now BioMonitor

He’s speaking next week at the big US event Google

Expert in DiabetesOn review panel EMEA

(Competent authorities)

GLP-1 Drug databases

He works for ABC Pharma Co. too on their GLP-1 Corporate databases

Speaker @ American Diabetes Association

No c

onfli

cts o

f int

eres

ts

Docu

men

ted

colla

tera

l

Colla

bora

tive

Cred

ibili

ty

Influ

entia

l with

pee

rs

Wel

l con

nect

ed

Acce

pted

by a

ll sta

keho

lder

s

+ - ++ Hum Well Should be

Yes Yes

Objective

Subjective

• Transparent data capture procedure• Inferred data not enough

• New mechanisms to catch & update information• Real-time

• Objective, measurable components (=accepted)• Compliant with codes of conduct

• Portable data • globally accessible

• Metrics• Dashboard approach

• Robust privacy , secure technologies opted in/out

Key Components of KOL Systems going forward

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Wilmington

50 miles

Washington

New York

Allentown

50 miles50 miles Philadelphia

Baltimore

Where will my patients come from?

Making choices about trial placement

Time – Cost – Quality

Current environment Commercial risk analysis

Investment choices

Debrecn-Budapest=216 km

Debrecn population

206,225

- Density442.53/km2 (1,146.1/sq mi)

Szeged population

169,678

Density 604.2/km2 (1,564.9/sq mi)

Debrecn-Szeged=220 km

Budapest (2009)

- City ▲ 1,712,210

- Density 3,241.5/km2

- Urban ▲ 2,503,205

- Metro ▲ 3,271,110

Ovarian Cancer Alzheimer's

Add population statistics to measure patient referral

Who

What

When

Where

Classify system to research questions

Critical emerging regions

1996 1998 2000 2002 2004 2006 2008 20100

0.10.20.30.40.50.60.7

Regional Site Utilisation (1998 - 2008)

1999 2000 2001 2002 2003 2004 2005 2006 20077

7.58

8.59

9.510

10.511

Site by trial ratio (1999 – 2007)

19.7%

7.4%

6.3%

.4%

Source: MDCpartners

Where will I be doing my oncology trials in 2012?

• Can we leverage these expanding public data sources?

• Can advances in technology optimise information gathering?

• If we have the information can we apply it at the right time to enhance efficiency?

Leverage information

Semantic web mining for Pharmaceutical Business Intelligence

Education

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