icic 2014 semcare - semantic data platform for healthcare
DESCRIPTION
The aim of SEMCARE is to build a semantic data platform to support clinical trials. The platform will identify patient cohorts based on patient-level criteria (e.g. age, gender, diagnosis, symptoms, lab results) scattered in heterogeneous clinical data. As most of patient-level data is unstructured, language technologies are necessary to extract and exploit the relevant data. Our platform combines the power of full text search with text analytics and semantic web technologies for a hybrid semantic full-text search. SEMCARE addresses the ever growing need to exploit medical data from clinical trials and for monitoring and improving healthcare delivery. The platform has the potential to provide for a more efficient, scalable method of patient recruitment for clinical trials. SEMCARE will also be capable to detect undiagnosed patients with rare diseases based on sign and symptom combinations. This has the potential to speed up the research on this group of diseases, which constitute a highly attractive market for pharmaceutical companies. The SEMCARE consortium includes players from the demand and supply sides. Hospitals in three different European countries serve as pilot sites and have particular interests in applying SEMCARE in their clinical research activities. The companies Averbis GmbH and SYNAPSE have a clear interest in the exploitation of the results.TRANSCRIPT
Dr. Philipp Daumke
SEMANTIC DATA PLATFORM FOR HEALTHCARE
ABOUT AVERBIS
Founded: 2007
Location: Freiburg im Breisgau
Team: Domain & IT-Experts
Focus: Leverage structured & unstructured information
Current Sectors: Pharma, Health, Automotive, Publishers & Libraries
PORTFOLIO
Products
Information Discovery Platform
Text Mining Search and Analysis Terminology Management
BACKGROUND
Healthcare needs have been
changing
• There is a requirement for new,
safer, more effective medicines in
areas of changing medical needs
• With the pressure on healthcare
budgets there is a focus on best
practice care
Source: EHR4CR
CHALLENGE
Less drugs come to
market1…
…despite more
investments in research
1. EFPIA. The Pharmaceutical Industry in Figures Source: EHR4CR
INCREASING BURDEN ON CLINICAL TRIALS
Protocol Design
• Trials have become increasingly
complicated
• Advances in healthcare, such as
personalised medicine, require more
patient information
Patient Recruitment
• Larger on average and require more
participants.
• Recruitment has become more
difficult and expensive
1999 2005 %
Change
Total Procedures per
Trial 24 35 46%
Length of Clinical
Trials 96 158 65%
Participant Enrolment
Rate 460 780 70%
Staff work burden (in
effort units) 21 35 67%
Source: PhRMA Report 2010
OBVIOUS INEFFICIENCIES IN CLINICAL DATA
MANAGEMENT
Patient Data
Care
EHR Records Clinical Trial
Research
Database
Electronic Data
capture for Clinical
Trials
THERE IS A NEED TO BRIDGE THE GAP
HOSPITAL
TRUSTED CLOUD
STUDY PORTAL
ETL
Anonymization
Text Mining
Data
Warehouse
Data Mining
Anonymized Text Annotations
Structured Data
AVERBIS HEALTHCARE ANALYTICS
Integration of heterogeneous
data in various input formats
Gain insights in structured and
unstructured data
Anonymization of unstructured
data for research purposes
Easy and powerful interfaces
for experts and novices
Averbis Healthcare Analytics is a clinical discovery platform
to analyze Electronic Health Records
Open infrastructure, easy 3rd
party integration (e.g. Qlikview)
AVERBIS HEALTHCARE ANALYTICS
Averbis Healthcare Analytics is a clinical discovery platform
to analyze Electronic Health Records
3rd party
applications
QlikView
I2B2
Transmart
Terminology
Management Text Mining
Search &
Analytics
Services
ETL, Data
Integration
Data Privacy,
Anonymization Data Storage
AVERBIS HEALTHCARE ANALYTICS
Averbis Healthcare Analytics is a clinical discovery platform
to analyze Electronic Health Records
3rd party
applications
QlikView
I2B2
Transmart
Terminology
Management Text Mining
Search &
Analytics
Services
ETL, Data
Integration
Data Privacy,
Anonymization Data Storage
Coding & Billing
Quality
Management
AVERBIS HEALTHCARE ANALYTICS
Predictive
Analytics
Diagnosis
Support
Feasibility
Studies
Patient
Recruitment
Semantic
Interoperability
Hypothesis
Validation
Commercial
Insights for
Pharma
Healthcare analytics support various requirements of clinical care,
clinical research, administration and governance
Clinical Care Research Pharma
Coding & Billing
Quality
Management
AVERBIS HEALTHCARE ANALYTICS
Predictive
Analytics
Diagnosis
Support
Feasibility
Studies
Patient
Recruitment
Semantic
Interoperability
Hypothesis
Validation
Commercial
Insights for
Pharma
Healthcare analytics support various requirements of clinical care,
clinical research, administration and governance
Clinical Care Research Pharma
DIAGNOSIS SUPPORT
Show me all patients with typical Morbus Pompe symptoms, but without a Morbus
Pompe diagnosis
DIAGNOSIS SUPPORT
Coding & Billing
Quality
Management
AVERBIS HEALTHCARE ANALYTICS
Predictive
Analytics
Diagnosis
Support
Feasibility
Studies
Patient
Recruitment
Semantic
Interoperability
Hypothesis
Validation
Commercial
Insights for
Pharma
Healthcare analytics support various requirements of clinical care,
clinical research, administration and governance
Clinical Care Research Pharma
FEASIBILITY STUDIES
FEASIBILITY STUDIES
OUR GOAL IN SEMCARE
19
Focus
Overcoming barriers that limit access to EHRs for research
Delivering a platform to re-use electronic health records
Use-Case
Detecting patients
• in the area of cardiology
• with undiagnosed (rare) diseases
• for clinical studies
Timeline
2-years project, 1,5 Mio EUR budget
In cooperation with a
broad network of
pharma companies
