Six Myths about Ontologies: The Basics of Formal Ontology
SolNet - Ministry of Health: Cancer Registry Solution
1. New Zealand Cancer Registry, Ministry of Health
Peter Meier
Software Architect, Solnet Solutions
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2. About: Solnet Solutions 2
Systems integrator and
Enterprise application solutions provider
Capabilities
User interaction and collaboration
Integration and enterprise services
Information management
g
Infrastructure and operations
Enterprise architecture and strategy
Local, privately held company; offices in
Wellington (HQ) and Auckland, 120+ staff
IBM business partner
Long standing successful relationship with MoH
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3. About: New Zealand Cancer Registry 3
National registry for cancer diagnosis information
Accurate data for
Clinical and epidemiological research
Health services planning and funding
NZ Cancer Registry started in 1948
Second oldest population-based registry in the world
population based
NZ legislated
Laboratories
L b t i required t provide pathology reports
i d to id th l t
Obligations to WHO
International Classification of Di
I t ti l Cl ifi ti f Diseases f O
for Oncology
l
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4. Business Drivers for Redevelopment 4
Better alignment with business processes
Improvement of data quality and accuracy
Improvement of usability
Increase of productivity
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5. NZCR Information Flow 5
PDF
Pathology
reports
Cancer Old NZCR
HL7
Events
Mortality Reference
Code tables
NMDS National Health Index
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6. NZCR Architecture 6
PDF
Pathology
reports
Cancer Old NZCR
HL7
Events
Mortality Reference
Code tables
NMDS National Health Index
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7. NZCR Architecture 7
NZCR is composite Web services application
Business Web services
Reference data access Web services
Utility Web services
Accessed through rich client (based on Eclipse RCP)
Follows principles and best practices of SOA
Runs on
IBM Websphere Application S
W b h A li ti Server and d
IBM DB2 database server
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8. Challenges and Solutions 8
Usability
Data Quality
Performance management
Security
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11. Challenge: Data Quality 11
Accuracy and high data quality
Rules engine based validation
Real-time validation
Modified model view controller
model-view-controller
Controller
Business Rules
Model View
Rules Engine
Data validation in UI and Web service
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13. Challenge: Data Quality 13
Migration of historical data
Erroneous data (?!)
Warnings
Errors
Prior errors
Dedicated UI for QA search
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14. Challenge: Performance 14
Load
1 Batch
Time
Daily window Nightly window
Load
L d
1 2 3 … n n Batches
Time
Daily window Nightly window (reserved)
Load
Micro Batches
…
etch
Save
Save
Save
Fe
S
S
Time
Batch interval (typically 2 hours)
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16. Challenge: Security 16
Security aspects
Authentication with SSO
Security assertion
Authorisation
Security assertion with role attributes
Integrity protection
Digital i
Di it l signature (
t (message l level)
l)
Confidentiality protection
Encryption (
E ti (message l level)
l)
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17. Authentication (SSO) 17
1
Credential Cache
2
SAML Asserting Party
Kerberos
Web Service
Consumer
3
Assertion 5
4
Web Service Secure
Trust
Provider Token Service
SAML Relying Party SAML Authority
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18. Message Protection 18
Message security
Transport
security
Client Proxy Server
Web Service Web Service
Consumer Provider
Service request Service response
signed with p
g private key
y signed with p
g private key
y
encrypted with public key encrypted with public key
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19. Summary 19
Success factors
Early customer involvement
Pain points and business needs addressed
Usability,
Usability quality assurance integration
assurance,
Live for almost 1 year
stable,
stable no patches or new releases since
Happy customer
“The new system has streamlined the collection and coding of cancer
information. It dramatically reduces the manual handling of data and
allows electronic storage and retrieval of p
g pathology reports, and more
gy p
efficient quality assurance processes.”
-- Susan Hanna, Cancer Registry Team Leader, Ministry of Health --
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20. 20
Thank you
Questions?
http://www.solnetsolutions.co.nz
http://www solnetsolutions co nz
peter.meier@solnetsolutions.co.nz
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