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MedeTel, Luxemburg, April 0507 2006

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Reducing the time spent in collecting information widely dispersed ... CARRIED-BY-DISEASE Pica. Concepts. feeling of fatigue. pallor of skin. iron deficiency ... – PowerPoint PPT presentation

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Title: MedeTel, Luxemburg, April 0507 2006


1
Med-e-Tel, Luxemburg, April 05-07 2006
Doc_at_Hand AN INNOVATIVE WEB PLATFORM FOR
INFORMATION AND KNOWLEDGE SHARING WITH ONTOLOGY
DRIVEN RETRIEVAL
Luca Sammartino, Nomos Sistema S.p.A.
2
Key project information
  • Project name Doc_at_Hand
  • Project type STREP
  • Consortium composition8 partners, 5 countries (5
    IT Companies, 1 Academic, 2 Users)
  • Project Coordination TXT e-Solutions (I)
  • Project duration 36 months (1/1/2004 -
    31/12/2006)

3
Why Doc_at_Hand?
Healthcare professionals need help in
  • Reducing the time spent in collecting information
    widely dispersed needed for their day-by-day
    activities
  • Accessing heterogeneous amount of decentralised
    data also reducing associated costs
  • Collect information remotely promptly through
    portable devices, such as tablet PC accordingly
    their mobility needs
  • Increasing the quality of their decision making
    through prompt availability of relevant and
    complete data

4
Mission
  • Our goals
  • To facilitate the retrieval and the understanding
    of knowledge and information geographically
    dispersed (indexing, knowledge elicitation)
  • To interrogate the System through Natural
    Language queries (query-answering extended
    browsing and navigation)
  • To improve health professionals quality of
    services
  • To support health professionals in their
    day-by-day complex problem solving and decision
    making activities.

5
Main features
  • Transparent access to heterogeneous and
    geographically dispersed databases owned by
    separate, but cooperating organizations
  • Proactive search for relevant information, using
  • push technologies complementing traditional
    pull approach
  • domain ontology
  • Collection of related knowledge and information
  • Presentation through an intuitive user interface
    highly customized on user profile and current
    activities
  • Information accessible by different terminals
    Desktop, Laptop, Tablet PCs

6
Expected benefits
  • Improved access and sharing of up-to-date
    patients data and clinical documentation.
  • Improved overall quality in care delivery
  • More information for a better informed decision
    making
  • Reduction in patient admission times, avoiding
    duplicated procedures
  • Doc_at_Hand Platform is mostly application
    independent
  • Adaptable to different organization types
  • Easily extendible to different applications/domain
    s
  • Non-intrusive integration with existing systems

IT Perspective
7
Platform Architecture
8
Technologies
  • Opensource tools
  • If available, opensource solutions like MySQL,
    Tomcat, Lucene preferred instead of commercial
    ones
  • Platform independent
  • Modules developed with Java and Microsoft .Net
    for system portability
  • Web Services
  • Web-based distributed architecture using WS
  • HL7 protocol
  • Data extraction from Legacy Systems using HL7
    messages
  • XML
  • Information and modules data exchange represented
    in XML standard

9
Doc_at_Hand interface
10
Doc_at_Hand core The Semantic Subsystem
  • Description
  • It is composed by a set of tools strictly
    interoperating each others in order to basically
    provide two features
  • information/knowledge retrieval (clinical
    records, guidelines, clinical cases)
  • information management (document submission,
    content parsing, knowledge mark-up, concept
    extraction, document indexing )
  • Key modules
  • Natural language Parser
  • Top, Middle and Domain Level Ontologies
  • XML based Search Engine
  • Main Benefits
  • Ontology-based search
  • Multi-lingual concept recognition
  • Better recall hits results that would not have
    been found by using token-based searches
  • Better precision avoids results that are not
    relevant (through matching the token provided)

11
Semantic Subsystem Example (1/2)
Clinical Record Woman 43 years with menstruation.
Non toxic habits Consults for an increased
feeling of fatigue in the past three months. No
suspicious family history. No other digestive
symptoms. No medication. Slightly distended,
soft, non-tender abdomen with active bowel
sounds. Pallor of skin and mucosa. Preliminary
Diagnose Iron deficiency.
Clinical Record (after parsing) Woman 43 years
with menstruation. Non toxic habits Consults for
an increased feeling of fatigue in the past three
months. No suspicious family history. No other
digestive symptoms. No medication. Slightly
distended, soft, non-tender abdomen with active
bowel sounds. Pallor of skin and mucosa.
Preliminary Diagnose Iron deficiency.
Concepts feeling of fatigue pallor of skin iron
deficiency
12
Early referral colon cancer example (2/2)
Concepts feeling of fatigue pallor of skin iron
deficiency anemia colon cancer
  • Benefits
  • Generated automatically
  • More precise (additional tokens)
  • Benefits
  • Extracts correlated information
  • Finds relevant documents even though they do not
    contain the original tokens

13
Data communication security
  • EHR is first split in two distinct packages
    personal data e clinical data
  • Unique Id has been assigned to EHR and added to
    each packages header information
  • Each package is encrypted and submitted
    separately via https
  • Doc_at_Hand receives both distinct packages and
    recombines the original EHR such data will then
    be managed entirely in memory. Packages are sent
    separately

Personal data
Pronl aa
Clnal dt
encryption
EHR
Clinical data
Data transfer (https)
Remote Hospital Information System (HIS)
Doc_at_Hand Platform
EHR
Recombined EHR
Data request
Not persistent
14
HCPB case
Primary Care
Early diagnosis and referral of colon cancer
Doc_at_Hand
Hospital
Management Centre
  • Evidence Based Guidelines
  • Distributed patients clinical data
  • Access to updated clinical knowledge

Patients home
15
GST case
Hospital
Primary Care
Patient allocation to clinical trials
Doc_at_Hand
Primary Care
  • National policy encouraging enrollment in trials
  • Matching trial requirements to patients profile

Hospital
Hospital
16
ASP model offering
  • Evaluate the potential of an ASP offering for
    Doc_at_Hand to
  • Extend Improve Doc_at_Hand visibility Web
    interactive demo
  • Extend the potential market to new countries and
    segments
  • Provide a light client for portable devices with
    key features

17
Project life cycle
18
Conclusion
Thank you Any questions?
Luca Sammartino sammartino_at_nomos.it
Doc_at_Hand website http//www.doc-at-hand.org/
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