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Medical device development is increasingly under market pressure to reduce deployment time in critical care facilities. Further, budget cuts in critical care facilities drive process innovation mostly realized through a holistic integration of IT systems across departments (hospital information systems, PACS and modalities). One important leverage to reduce development cycle time and to control complexities of software along the life-cycle is to use model-based engineering approaches. Such new technology adoption is still in its early adoption phase. Less than 10 percent of organizations (in the medical device industry) use such approaches. As more and more clinical workflows start to be IT-supported > 60% (end of the ’90 only ~ 30%), model-based engineering brings viable solutions to large software development efforts (> 5000 requirements) in multi product lines. This talk will discuss implemented model-based engineering in Requirements Engineering, Architecture Design as well as outline what is planned for the system test by means of an imaging platform project carried out in Siemens Healthcare. Our own experience and an underlying business case show concrete cost savings in the project planning, testing and complexity reduction of the imaging platform architecture using a model-based requirements engineering approach. Further, the current status and requirements of engineering tools will be discussed. The talk ends with best practices developed as well as key take aways.
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Model based Engineering inModel-based Engineering in Medical Device Development –pIssues & SolutionsINCOSE SwedenLinkoepingApril 4 2011April 4, 2011
© Siemens AG 2011. All rights reserved.
Contents
Goals Goals
Brief look on Siemens Healthcare
Business challenges
Model-based Engineering: Issues & SolutionsModel based Engineering: Issues & Solutions
Recommendations
Further Information
Page 2 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Contents
Goals Goals
Brief look on Siemens Healthcare
Business challenges
Model-based Engineering: Issues & SolutionsModel based Engineering: Issues & Solutions
Results and Summary
Further Information
Page 3 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
G l f thi T lkGoals of this Talk
Disc ss the e periences Discuss the experiences using engineering models (in different phases of product development of a next generation imaging platform)
Identify and share needs and Identify and share needs and requirements with colleagues from diverse industries to d d tadvance product
development tooling
Page 4 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Contents
Goals Goals
Brief look on Siemens Healthcare
Business challenges
Model-based Engineering: Issues &Model based Engineering: Issues & Solutions
Results and Summaryy
Further Information
Page 5 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Siemens HealthcareTHE I t t d H lth CTHE Integrated Healthcare Company
in-vivo diagnostics (imaging)
X-Ray ComputedTomography
MagneticResonance
MolecularImaging
Ultrasound Oncology
in vitro diagnostics (laboratory systems)
Tomography Resonance Imaging
syngo.via
in-vitro diagnostics (laboratory systems)
Immunodiagnostics Clinical ChemistryNucleid AcidTesting
Hematology Lab AutomationUrinAnalysis
Near PatientTesting
Page 6 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Example: syngo.mCT Oncology:O l W kfl T D t ti St iOncology Workflow: Tumor Detection, Staging
Automated Case Preparation Multi-Modality AccessDisease-Oriented ReadingAutomated Case Preparation Multi Modality AccessDisease Oriented Reading
Automated bone and bloodpoolremoval
Automated sorting of images, etc.
Image fusion for CT, PET, and MR images, etc.
Preferred layout applied Automated lesion segmentation Automatic loading of prior exams, etc.
Page 7 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.Courtesy of University Hospital of Munich-Grosshadern/ Munich, Germany © Siemens AG 2011. All rights reserved.
syngo.mCT Oncology is cleared in the U.S. with syngo.PET&CT Oncology.
Contents
Goals
Contents
Goals Goals
Brief look on Siemens and Vector
Goals
Brief look on Siemens Healthcare
Project syngo.via
Business challenges
Business Challenges
Model Management: Issues & SolutionsBusiness challenges
Lean Requirements Engineering
Model Management: Issues & Solutions
Results and Summary
Results and Summary
Further Information
Further Information
Page 8 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
B i Ch ll i M di l D i I d tBusiness Challenges in Medical Device Industry
Industry regulations
Cycle time down
Industry regulations
Cycle time down
ComplexityComplexity
Need to industrialize
product
Costs down Complexity growth
Need to industrialize
product
Costs down Complexity growth
product development
product development
Focus of this talk
Application Life-cycleManagement Tools
Model-basedEngineering
PlatformsApplication Life-cycle
Management ToolsModel-basedEngineering
Globally Integrated
Platforms
Page 9 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Globally IntegratedClinical Workflows
Disclaimer:Disclaimer:
The content discussed in this presentation needs
to be considered as work in progressto be considered as work in progress.
Page 10 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Contents
Goals
Contents
Goals Goals
Brief look on Siemens and Vector
Goals
Brief look on Siemens and Vector
Project syngo.via
Business challenges
SYNGO products
Business challengesBusiness challenges
Lean Requirements Engineering
Business challenges
Model-based Engineering: Issues & Solutions
Results and Summary
Further Information
Results and Summary
Further Information
Page 11 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
i P d tsyngo.via Product
Project Summarysyngo.via: Next generation imaging software covering the g g gentire reading process
Project data: > 5,000 single product requirements Several million lines of code C++/C#Several hundred developers in many locationsCli i l li ti fClinical applications for
Radiology, PACS, X-Ray, CT, PET/SPECT, Oncology, Particle Therapy and MR
Page 12 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Therapy and MR.
I d t I d P i P i tIndustry Issues and Pain Points
Pain Points Business ImpactPain Points Business Impact Product structure
intransparent, domain model partially incomplete
Technology-driven product platform, no link to businessdriversOpaque relationship between problem & solution spacemodel partially incomplete Opaque relationship between problem & solution spaceRe-scoping sessions w/ customers on basis of many specs.
Ambiguity and lack of accuracy of specifications
Textual-based specifications are subject to interpretationTextual use case descriptions work only for smaller projectsy p p y p jNatural language subject to interpretation, inconsistent,
incomplete Controlling architectural Redundancy of architecture components due to lack of
complexity understanding of problem- and solution spaceBusiness needs not consistently linked to featuresToo much variability in software architecture
Lack of V&V efficiency Test specifications in natural language are mostlyexecuted in a manual way onlyTest cases manually createdThousands of pages of requirements
Page 13 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Thousands of pages of requirements
Pain point 1: Product Structure Intransparent, D i M d l P ti ll I l tDomain Model Partially Incomplete
S l tiSolutions:
A. Requirements Engineering Meta-model
Selected issues: Opaque relations between
problem- & solution space
B. Feature Model
problem & solution space Re-scoping sessions w/
customer on basis of many engineering specs.
Page 14 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
g g p
Solution A: Requirements Engineering Meta Model B fit & T l R i t (1)– Benefits & Tool Requirements (1)
Characteristics:Problem Space Characteristics: Provides needed artifacts, their
attributes and relationships to each other
DB
Business PlanMarket Analysis,
Stakeholder Request
Problem Space
other. Using meta-model, it is also possible to
prescribe the way how / which data are captured .
MRS
SW Platform Roadmap, Business Case, etc.
input for
input for
Benefits: Lean artefact infrastructure, no
MRS
Market Requirement
SW Feature AnalysisUse Case Specifications,
Load Profiles,Concept Papers
analyzedby
redundancy Guidance for engineering tasks
with structured inputSWRSSW Req.
(Problem)
Concept Papers
Established link between business drivers, requirements, design and test
SW Req.(Solution)
Specification/Structural Element Content Mapping or
Page 15 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Document Structural Element Content pp gInput
Solution A: Requirements Engineering Meta ModelC t (2)– Concepts (2)
Feature A Feature represents a characteristic of a product which provides a business value and supports purchase decisions […]. A Feature structure requirements in a meaningful way and is no specification in itself (only “container”).
Stakeholder Request
Feature Feature A Feature Model is a hierarchical "tree" to describe the structure, dependencies, commonalities and variabilities of Features within a product or product line (e.g. SW Platform, Finished Medical Device).
SW Feature SW Feature
Market
Finished Medical Device).
Requirements specify the Feature. They represent the functionality already implemented within the product and functionality that is planned for future versions. Depending on the project phase requirements are less or more detailed (e gRequirement
SW Requirement
project phase requirements are less or more detailed (e.g. Market Req., SW Req.).
Stakeholder Requests are wishes towards an existing or future product. Stakeholder Requests (SR) are gathered from various sources (e.g. end customer, business units) and may have an impact on different levels and phases of the product lifecycle .
Page 16 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Solution A: Requirements Engineering Meta ModelC t (3)– Concepts (3)
Problem Space Sol tion SpaceDB
Business PlanMarket Analysis,
Roadmap Business Case
Stakeholder Request
Problem Space Solution Space
Roadmap, Business Case, Version Goal
input for input for
MRS
Market R i t
SW FeatureAnalysis
Use Case Specifications, analyzedby
SWRS
Requirement
SW Req. CDSArchitectural
Load Profiles,Concept Papers, etc.
Architecture
by
(Problem)
SW Req.(Solution)
DesignDescription
Build. Blockrealizes
Page 17 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Solution A: Requirements Engineering Meta Model C t (4)– Concepts (4)
Problem Space Sol tion SpaceDB
Business PlanMarket Analysis,
Roadmap Business Case
Stakeholder Request
Problem Space Solution Space
Roadmap, Business Case, Version Goal
input for input for
Example: Feature - „Demo of Images“
Market Requirement: As a Clinician, I want to mark images to support
MRS
Market R i t
SW FeatureAnalysis
Use Case Specifications, analyzedby
want to mark images to support presentations for a medical conference.
SWRS
Requirement
SW Req. CDSArchitectural
Load Profiles,Concept Papers, etc.
Architecture
by
(Problem)
SW Req.(Solution)
DesignDescription
Build. Blockrealizes
Page 18 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Solution A: Requirements Engineering Meta Model C t (5)– Concepts (5)
Problem Space Sol tion SpaceDB
Business PlanMarket Analysis,
Roadmap Business Case
Stakeholder Request
Problem Space Solution Space
Roadmap, Business Case, Version Goal
input for input for Use Case: „Demo of Images“ with activity diagram to derive software
i tMRS
Market R i t
SW FeatureAnalysis
Use Case Specifications, analyzedby
requirements.
SWRS
Requirement
SW Req. CDSArchitectural
Load Profiles,Concept Papers, etc.
Architecture
by
(Problem)
SW Req.(Solution)
DesignDescription
Build. Blockrealizes
Page 19 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
S l ti B F t M d lSolution B: Feature Model
Highest LevelHighest Level Characteristics: Hierarchical tree to describe the
structure, dependencies and liticommonalities
Lays out the basics for variant management and impact analysis
Graphical View
Benefits: Higher level abstraction of grouping
of requirements into sellable units: From 5,000 product requirements to 800+ features (factor ~ 6)
Visual domain model for healthcare
Hi hi l Vi
workflows (tree & graphical) Reduction in time to understand
aspects of the system
Page 20 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Hierarchical View
S l ti B F t M d l & It R l ti (1)Solution B: Feature Model & Its Relations (1)
Application Use CasesStakeholder RequestsH IStakeholder RequestsHow can I manage huge amounts ofRequirements?
How do I scope a product version efficiently?
Architecture Model
Page 21 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
S l ti B F t M d l & It R l ti (2)Solution B: Feature Model & Its Relations (2)
Application Use CasesStakeholder RequestsStakeholder Requests
Architecture ModelHow do I manage stakeholder requests from different businesses mostbusinesses most effectively?
Page 22 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Pain point 2: Ambiguity and Lack of Accuracy of S ifi tiSpecifications
Level Requts. Manually Manual test
Issues: Textual use case descriptions work only
for smaller projects < ~ 100
Level Requts.Object
Manually Embedded graphs case creation
Document Requt. 1(text)
Picture / diagram
requirements Natural language subject to
interpretation, usually inconsistent, incomplete with inccorrect version (and
Features
(text)
Requt. 2(text)
Picture / diagram
p (conflicting)
Root causes:T t l i t i i d t
Paragraph Requt. 3(text)
Picture / diagram
Textual requirements engineering do not scale for platform projects
Missing versioning No direct access to single requirements
Solutions:
C Application Use Cases Lack of product structure Inconsistently executed change
management process
C. Application Use Cases
Page 23 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Solution C: Graphical Modeling of Clinical W kfl (1)
Characteristics:
Workflows (1)
Characteristics: Used to describe clinical workflows that
consist of a collection of steps in a defined sequence together with accompanyingsequence together with accompanying specification of pre-/post-conditions, business rules, performance aspects, etc.
B fitBenefits: Increase expressiveness of clinical
workflows to describe dynamic behaviors f li i l kflof clinical workflows
Early analysis of stakeholder requests from customers Improved impact analysis of change Improved impact analysis of change
requests Joint modeling sessions to describe the
needs from the customer‘s point of view
Page 24 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
needs from the customer s point of view
Solution C: Graphical Modeling of Clinical W kfl (2)Workflows (2)
Application Use CasesStakeholder RequestsStakeholder Requests
Architecture ModelHow can I analyze a feature or a stakeholder request?
Page 25 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
P i i t 3 C t lli A hit t l C l itPain point 3: Controlling Architectural Complexity
Solutions:
D Architecture Model Mapping
Selected issues: Business needs not consistently
linked to features/ requirements; D. Architecture Model Mappinglinked to features/ requirements; dependencies between features not easily visible
Too much variability in software
Page 26 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
architecture
S l ti D A hit t M d l M iSolution D: Architecture Model Mapping
Characteristics:F Feature Model
Identifies links between features and their implementation
Explicit modeling of variability in the architecture
F F F
SWF SWF SWF SWF SWF SWF SWF
Benefits:
SWF SWF SWF SWF SWF SWF SWF
S Architecture Model
Architectural decisions motivated by features and product-line variability
Enabling reduction of architectural complexity
SS SS SS
C C C C C C
Enabling reduction of architectural complexity
Support impact analysis for (de-) scoping sessions
Early identification of architectural risks Early identification of architectural risks
Improved accuracy of early effort estimates
Reduction of number of scoping sessions
Page 27 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Reduction of number of scoping sessions
S l ti D A hit t M d l M iSolution D: Architecture Model Mapping
Application Use CasesStakeholder RequestsStakeholder Requests
Architecture Model
Which component pimplements which feature?
Page 28 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
P i i t 4 N d t I V&V Effi iPain point 4: Need to Increase V&V Efficiency
Solutions:
E M d l b d S T
Issues: Test cases partially manually
generated from prose use casesC l ti f t t t t l E. Model-based System Test Cycle times for system test too long
Compliance requirements QSR 21 CFR 820, ISO 13485:2003, EU MDD 93/42 and other medical device
Page 29 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
93/ a d ot e ed ca de cesoftware regulations.
S l ti E M d l b d S t T t (2)Solution E: Model-based System Test (2)
B fitBenefits: Early identification of requirements
defects through validation by testers Effort reduction for test (cycle time,
cost ~ -30%) and increase of test coverage (*) Decrease number of defects
Model-based testing is highly structured, reproducible and efficientp Increase reuse of development
artifacts Quicker impact analysis by parsing
model for late requirements changes
Page 30 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
(*) Based on experience from other projects
S l ti E M d l b d S t T tSolution E: Model-based System Test
Application Use CasesStakeholder RequestsStakeholder Requests
Architecture Model
Which application use case is covereduse case is covered by which test case?
Page 31 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
F R i t E i iFocus o Requirements Engineering …
Sync between toolsSlM tProblem Space
(Features & Requirements)Solution Space
(Architectural Building Blocks)SlaveMaster
MRSSW Feature
Market
EnterpriseArchitect
Architectural Build. Block Enterprise
Architectrealizes
Market Requirement
SWRS
SW Req
Caliber RM SW Feature CDSArchitectural Build. Block
SW Req.(Problem)
SW Req.(Solution) Caliber RM
DesignDescription
realizes*
Together
Page 32 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Contents
Goals
Contents
Goals Goals
Brief look on Siemens and Vector
Goals
Brief look on Siemens and Vector
Project syngo.via
Business challenges
SYNGO products
Business challengesBusiness challenges
Lean Requirements Engineering
Business challenges
Model-based Engineering: Issues & Solutions
Results and Summary
Further Information
Results and Summary
Further Information
Page 33 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Major Changes to Development ApproachM d l b d E i iModel-based Engineering
Requirements Engineering Meta Requirements Engineering Meta-Model
Feature Model
Graphical Modeling of Clinical Workflows
Architecture Model Mapping
Model-based System Test
Page 34 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Note: syngo.via
B fit f M d l b d E i iBenefits from Model-based Engineering
Page 35 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
ResultsB i C C t ib ti f LBusiness Case – Contribution of Levers
Description of Benefit Distribution ofDescription of Benefit Distribution ofBenefits
uct on
Tracing with less effort (based on feature model‘s nature no verticals)
25%
Prod
uD
efni
ti feature model s nature, no verticals)
More effective stakeholder management (less scopingsessions, reduction in review times and effort)
Proj
ect
Plan
ning Transparency and easy overview on product functionality 23%
Des
ign Reduction of product complexity (transparent modeling of
product lines and product variability)7%
DTe
st
More effective Testing 45%
Easier bug-fixing
Page 36 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Source: OREA Business Case, February 2011 (to be expected)
ResultsB i C NPV P j tiBusiness Case – NPV Projection
B fit li d Benefits are realized across engineering workflows: Product Definition, Project Planning, Design and Testand Test
Break-even reached in 2nd year
Hints for other RE practitioners: Hints for other RE practitioners: Business case can only be carried out
with a complete technical concept
Sensitivity analysis done on risksshows that the effort is worthwhileeven when everything goes wrong.
Business case will vary depending on lccal circumstances
Page 37 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Source: OREA Business Case, February 2011 (to be expcetd)
K T k A f M d l b d E i iKey Take-Aways for Model-based Engineering
Modeling competence of prod ct managers needs to be b ilt p stepModeling competence of product managers needs to be built up step-by-step thereby facilitating acceptance of new approach
Seamless model-driven engineering is only partially tool-supported;Seamless model driven engineering is only partially tool supported; the biggest gap remains in requirements engineering.
Tool vendors need to stronger leverage the experience of leading development organizations and uptake it into technology roadmaps.
Acceptance of model-based engineering is a huge organizational h t d l 10% f i ti hchange management endeavor, only 10% of organizations have
already gained practical experience.
Continuous assessment and verification of business benefits for Continuous assessment and verification of business benefits for model-based engineering is a must to maintain sponsorship from management.
Page 38 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
Th k f tt ti !Thank you for your attention!
Page 39 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.© Siemens AG 2011. All rights reserved.
Contents
Goals
Contents
Goals Goals
Brief look on Siemens and Vector
Goals
Brief look on Siemens and Vector
Project syngo.via
Business challenges
SYNGO products
Business challengesBusiness challenges
Lean Requirements Engineering
Business challenges
Model-based Engineering: Issues & Solutions
Results and Summary
Further Information
Results and Summary
Further Information
Page 40 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
R fReferences
US Food & Drug Administration Design Control Guidance for Medical Device Manufacturers; March 11 1997US Food & Drug Administration, Design Control Guidance for Medical Device Manufacturers; March 11, 1997
US Food & Drug Administration, Quality System Regulation,; January 1, 1997, http://www.fda.org/cdrh/qsr/01qsreg.html
Brian Berenbach, Daniel Paulish, Arnold Rudorfer, Juergen Kazmeier, Software Systems Requirements Engineering; Mc-Graw Hill 2009; http://www.mhprofessional.com/product.php?isbn=0071605479
Renate Loeffler: Formal Scenario-based Requirements Specification and Test Case Generation in Healthcare Applications, Diplomarbeit, Univ. Paderborn, 10/2009
Siemens Healthcare Imaging & Therapy SYNGO: Optimized Requirements Engineering Approach, Siemens Healthcare, 2010
Siemens Healthcare Imaging & Therapy SYNGO: Microsoft Team Foundation Server Business Case May 2010Siemens Healthcare Imaging & Therapy SYNGO: Microsoft Team Foundation Server Business Case, May 2010
Medical Device & Diagnostic Industry 101, Carey Smoak, Roche Molecular Systems Inc., Pleasonton, CA, Pharma SUG 2010, Paper 1B01
Arnold Rudorfer, Christof Ebert: Lean Requirements Engineering in Medical Systems, MedConf 2010, Munich, Germany, October 14 2010; http://2010 medconf de/downloads/abstracts2010/T2 T3 V1 vector siemens pdf14, 2010; http://2010.medconf.de/downloads/abstracts2010/T2_T3_V1_vector_siemens.pdf
Arnold Rudorfer, Christof Ebert: Quality Requirements Engineering in in Medical Systems, OOP11, Munich, Germany, January 27, 2011 http://www.sigs.de/download/oop_2011/downloads/files/Do2-3_Ebert_Rudorfer_Update_QualityRE_OOP2011.pdf
Arnold Rudorfer: Model-based Engineering in Medical Device Development – Issues & Solutions, INCOSE Workshop, Phoenix, AZ, USA, January 31, 2011, http://www.omgwiki.org/MBSE/lib/exe/fetch.php?media=mbse:2011iw_incose_modelmanagement_rudorfer.pdf
Siemens Healthcare Imaging & Therapy SYNGO: Optimized Requirements Engineering Approach Business Case, February 2011
Page 41 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
syngoTh C t l I H b I H lth W kflThe Central Image Hub In Healthcare Workflows
More patient exams in less time*
Sound diagnosesin less time*
Effi i t i S th d f tEfficient image creation, usage, archiving, and sharing
Smooth and fast collaboration
syngo. It’s all about you.
Page 42 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.
syngo. It s all about you.*Results may vary. Data on file.
Arnold RudorferDirector Software Initiative and Process ImprovementProcess ImprovementSiemens AG Healthcare Sector
Hartmannstrasse 16D-91052 Erlangen
Phone: +49 9131 – 84 2299Fax: +49 9131 – 84 8691Mobile: +49 174 1537825
Email:[email protected]
Page 43 Arnold Rudorfer, Siemens Healthcare Imaging & Therapy SYNGO© Siemens AG 2011. All rights reserved.