FET Flagship on “Computed Medicine”
Principal Investigators:
Heinz U Lemke, PhD
Anthony J Brookes, PhD
International Foundation for CARS
Technical University of Berlin, Germany
Research Professor of Radiology,
University of Southern California, USA
GEN2PHEN Project
Heinz Lemke
Anthony Brookes
Department of Genetics
University of Leicester, UK
Mary Maleckar
Terry Poulton
CompuMed Vision
Our vision encapsulates a revolutionary ICT infostructure that will
unlock the potential of 21st century healthcare by making completely
personalised and dynamically optimised medical knowledge and
guidance transparently available to a multitude of stakeholders,
including doctors, patients, and trainees. This will be realised as a
modular, trans‐national, unifying architecture that will provide ethically
appropriate and secure access to all health data (clinical, personal,
research‐based, and industrial), with principal functionalities based
upon probabilistic graphical models representing specific patients,
disease, and medical processes, to assist in all aspects of healthcare:
prevention, diagnosis, treatment, and rehabilitation. This solution, both
elegant and feasible, will resolve the core challenges of medical
information scale and complexity, such that
medicine will never be the same again.
Better medicine requires increased information intensity...
Source: IBM Global Business Services and
IBM Institute for Business Value
Today’s Healthcare
Domain Info/Knowledge:
basic research, medical literature,
clinical evidence, environment,
biologics...
Patient Info/Knowledge:
clinical history, lab analysis, diagnostic
data, lifestyle...
Treatment Info/Knowledge:
workflow process, diagnostic tests,
pharmacology, prevention...
Tomorrow’s Healthcare
Domain Info/Knowledge:
basic research, medical literature,
clinical evidence, environment,
biologics...
Patient Info/Knowledge:
clinical history, lab analysis, diagnostic
data, lifestyle...
Treatment Info/Knowledge:
workflow process, diagnostic
tests, drugs, prevention...
Often
Often
inconsistent and
inconsistent and
sub‐optimal
sub‐optimal
health‐care
health‐care
Data, information, &
knowledge integration
Modalities
(X‐ray,CT, US,
MRI++,SPECT,
PET,OI)
Biosensors
(physiology,
metabolism,
serum, tissue, …)
Data bases
(Atlas, P2P
repositories,
data grids, ...)
Omics
Model based patient care
EMR
Integration,
Prediction
and Diagnosis
(Data fusion,
Simulation, CAD, ...)
EBM, MBME,
Processes,
Workflow,IHE
Mechatronics
(Navigation,
ablation, …)
Modelling,
Education
Planning and
Intervention
(Simulation, decision
support, validation, …)
Future ICT‐based Infostructure
ICT architecture and functionalities for Computed Medicine
Data Exch.
Control
Images
and
signals
Modelling
tools
Imaging
and
Biosensors
Modelling
Computing
tools
Simulation
WF and
K+D
tools
Kernel for
WF and K+D
Management
Rep.
tools
Visualisation
Rep. Manager
Repo‐
sitory
Devices/
Mechatr.
tools
Engine
Validation
tools
Diagnosis
and
Intervention
Validation
Medical Information and Model Management System (MIMMS)
ICT infrastructure for data, image, model and tool communication for patient model‐guided medicine
Data and
information
Patient
specific
models
Process
models
Models and
medical records
Overall Integration
ICT platform/infrastructure for distributed services for MGM and PSM management
(PSM/PM generation, verification, distribution & model based navigation and intervention)
RMIMMS functionalities
Navigation and
intervention devices
MGM network of
research centres
Grid analytical
application
services
(research driven)
Med. Info. and Model Management Sys. (MIMMS)
Research Centres
Research imaging and
biosensor systems
RMIMMS
Research
Information
Repository
MGM network of
clinical centres
M‐QARC and
collaborators
Grid data services
Firewall
Clinical EMR
Repository
Navigation and
intervention devices
MGM Grid Server
De‐identified Data
CRMS functionalities
Clinical Imaging and
biosensor systems
Grid project/study
invocation, WF and
security services
(clinically driven)
Anonymized Data
Data with PHI
Disease+Patient
Models
Disease
Info.
Workflow
Info.
Patient
Info.
Model Gateways
Information Gateways
CompuMed Navigators
Int
eg
ra t
ion
Predictive insight universally available to
educate, inform and guide health care
Stakeholders
Models
Ethics, legal, security
Data, information, knowledge
Transforming medical education:
‘Patient modelling’
Project Configuration
Original ‘communities’
G2P
CARS
Additional actors
VPH
AMEE
EIBIR
…
CUSP
Industry
Clinicians
Research
“CompuMed” Flagship pilot ‘Consortium’
Core
‘enabling’
tasks
• Specific projects
• Developments
• Tool deployment
• Etc
Medical
societies
Health care
institutions
• Specific projects
• Developments
• Tool deployment
• Etc
Stakeholders: target ‘communities’
Funding
agencies
Regulatory
authorities
Insurance
companies
Patients
Others
...
IMPACT
¾ New personalised and preventative medicine
¾ All individuals to live longer and healthier
¾ National healthcare costs reduced
¾ Transfer of best practices and model guided medicine across national boundaries
¾ Improved training for medical doctors
Key stakeholders will be empowered:
¾ Healthcare Institutions (optimized medical procedures)
¾ Medical Societies and authorities (validated standards and guidelines)
¾ Industry (build innovative ICT systems)
¾ Physicians and Patients (interact based upon informed and transparent
information)
¾ Physicians (deliver objective and reproducible medicine)
¾ Patients (control their own healthcare planning)
¾ Learners and Educators (revolutionise medical education)