Veterans Health Administration - OMG · dotNet, etc. CAIP Java service sharing methodology Shared...
Transcript of Veterans Health Administration - OMG · dotNet, etc. CAIP Java service sharing methodology Shared...
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Veterans Health AdministrationCommon Services
October 27,2005
Keith CoxActing Associate Deputy Director
Health Systems Design & Development
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October 27, 2005 Common Services 2
“A technical overview in non-technical terms…”
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October 27, 2005 Common Services 3
The Motivation
• Legislative and Departmental Mandates– The Clinger-Cohen Act– E-Government– One VA
• Improve level of interaction with private sector information systems.
• Enhance ability to utilize commercially produced software and IT products.
• Inadequacy of current technology and architecture– Incompatible technology– “Silo” application design– Difficult to maintain
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October 27, 2005 Common Services 4
Enterprise Architecture Implementation
• N-tier software design• Modern technology• Service oriented architecture
– Decomposition of application capabilities– Creation of service components– Methodology for sharing services
• Centralized/distributed deployment– Virtual single record view– Synchronization across systems of interest– Support for continuity of operations
• Standards / Information Model based
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October 27, 2005 Common Services 5
client
DatabaseBrowser
Application
Web Server OC4J
Applets Servlets,
JSP, CGI
(Client Presentation) (Business Logic)
EJBs, Beans
1 2 3 4
N-tier ArchitectureApplication Services Business Services Data Services
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October 27, 2005 Common Services 6
client
DatabaseBrowser
Application
Shared Business Service
1 2 3 4
Application Services Business Services Data Services
Consuming application, service or external system
Java, C++, dotNet, etc.
CAIP
Javaservice sharing
methodology
Shared Services Architecture
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October 27, 2005 Common Services 7
What is CAIP?
• “Cross Application Interface Protocol” (CAIP)• CAIP defines a framework for establishing a consistent
foundation for integration across applications• A layer of abstraction between shared business services and
the applications that subscribe to them• CAIP can serve as a technology adapter between business
services created in Java and applications or systems based in other technologies
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October 27, 2005 Common Services 8
Application / Presentation Tier
Data TierADR
E/E Data
Identity MgmtData
Demo-graphics
Data
E/E Service
RegistrationApplication
Data QualityApplication
Human ResourcesApplication
Person Service
Person ServiceIdentity Mgmt
Person ServiceLookup
Person ServiceDemographics
Scheduling Application
Scheduling Service
Services Tier
N-tier Shared Services Example
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October 27, 2005 Common Services 9
System / Service Deployment Assumptions
Service “A”
Central System
Service “B”
Central System
Service “E”
Central System
Service “C”
Service “D”
Service “B”
Local System
Service “C”
Service “D”
Service “D”
Local System
Service “E”
Service “E”
Service “B”
Local System
Service “C”
WebInterfaceWeb
Interface
Medical Center
Medical Center
Medical Center
Legacy VistA
Legacy VistA
Legacy VistA
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October 27, 2005 Common Services 10
Publish & SubscribeShared ServiceProcess / Publish
Localsubscribers
Shared ServiceProcess / Publish
Localsubscribers
Delivery Service
OutShared ServicePublish / Process
Localsubscribers
Delivery InService Out
In / OutDelivery Service
Local System
Site “A”
Local SystemSite “B”
Central System
Scenario: Site “A” publishes an event in Hub-and-spoke configuration
App.
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October 27, 2005 Common Services 11
Interface Engine (test/backup)
Interface Engine (test/backup)
Interface Engine (test/backup)
Interface Engine (test/backup)
Interface Engine (test/backup)
Interface Engine (test/backup)
Interface Engine (production)
Interface Engine (production)
Interface Engine (production)
Interface Engine (production)
Interface Engine (production)
Interface Engine (production)
DbServer
DbServer
App.Server
App.Server
(test/backup)
DbServer
DbServer
App.Server
App.Server
(test/backup)
DbServer
DbServer
App.Server
App.Server
(test/backup)
DbServer
DbServer
App.Server
App.Server
(prod-uction)
DbServer
DbServer
App.Server
App.Server
(prod-uction)
DbServer
DbServer
App.Server
App.Server
(prod-uction)
Central HeVSystems
Local HeVSite “A”
Local HeVSite “B”
Redundancy forTest / Failover?
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October 27, 2005 Common Services 12
Distrib.System
TargetSystem
Business Service Interaction
SynchronizationProcess
SynchronizationProcess
SourceSystem
ExtractLogic Import
LogicTransport
Method StagingSystem
Data Migration
Sync.Sync.
Data &MetadataCleanup
Data Migration Concepts
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October 27, 2005 Common Services 13
Common Services Focus
• Provision/coordination of core functionality– Business support functionality including Person Service and Standard
Data Service– Middleware services that support the sharing of services and data
between applications and systems– Infrastructure services such as security, auditing, archiving, etc.– Hardware deployment necessary to support application modernization.
• Maturation of organizational support structures• Proof of concept for SOA implementation
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October 27, 2005 Common Services 14
Scope: Common Services vs. common services
HealtheVetVistA
Application Services
Shared Business Services
Data Services
Deploy Hardware
Misc.
HDRSDS… PATS VPFS ADR LocalADR …Scheduling
AuditService
StandardData
Service…Lab
Service Appt.Service
DeliveryService Person
Service …Eligibility/Enrollment
Service
TrainStaff
EvaluateProcess…
PublicRelationsEducate
Sites
CoordinateSequence
ProvideOrganizationInformation
…Coordinate
ExternalSystems
SitePrep.
MonitorTimelines…
SiteTrainingDetermine
Capacity
CoordinateSoftware
Deployment
CoordinateCS
interests…Procurement
SDSMaint.
ProviderEnter/edit…
Enterorder Make
Appt.
PatientLookup Data
Quality …Registration
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October 27, 2005 Common Services 15
Use Case View – Business case, functionality scenarios
Logical View – Object models, classes, relationships
Process View – Control flows, intercommunication
Implementation View – modular structure (Service Oriented Arch.)
Deployment View – Allocation of software/hardware (Centralized/ Distributed deployment)
Common Services Development Perspectives
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October 27, 2005 Common Services 16
Common Services Efforts
• Person Service– Lookup– Demographics– Identity Management
• Standard Data Service– Table factory– Replication– Authoring– Maintenance
• Service Oriented Implementation– CAIP– Delivery Service– Subscription Management Service– Messaging Service– Dynamic Routing Service– Naming / Directory Service– HL7 Segment Service
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October 27, 2005 Common Services 17
Common Services Efforts (cont.)
• Application Preference Service
• Audit Service• Archive Service• Enterprise Exception Log• Administrative Data
Repository (ADR)• ADR Data Migration
• Institution file re-design• Data Standardization• National Provider Identifier• Metadata Service• Cross Service and
Extended Transaction Manager
• Non-Person Service
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October 27, 2005 Common Services 18
Ward
Equipment
Institution
NPI Org. Provider
Clinic
Room
Non-PersonIdentity
Management
RelationshipConstruct
PersonIdentity
ManagementPatient
Provider
IT User
Employee
System of Interest
LongitudinalView
Data Consumer
Relationship/Longitudinal Concepts
Note: This is a representation of concepts, not technical structure of files, etc.
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October 27, 2005 Common Services 19
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October 27, 2005 Common Services 20
Issues – A share of the wealth…
• Data– Standardization– Cleanup – Metadata uniformity– Synchronization– Migration– Ill formed data– History– Checksums
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October 27, 2005 Common Services 21
More Issues…
• Software Performance Engineering (SPE)– Invalid assumptions– Baseline– Usability vs. performance– Tolerance/threshold– Modeling/prediction– Benchmarking– Expectation management– Test environment
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October 27, 2005 Common Services 22
Yes, more issues…
• Versioning– Software– Metadata– Table content
• Overarching Requirements• N-tier Requirements Management• System interdependency
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October 27, 2005 Common Services 23
Questions?
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October 27, 2005 Common Services 24
Backup slides
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October 27, 2005 Common Services 25
Software Versioning Characteristics
• Co-existence of multiple component versions• Abstraction of versioning consumption specifics• Discoverable at development time and run time• Centrally and locally manageable configuration• Controlled consumption
– Arbitrary – maintain FDA device relationships– Dynamic – upgrade per compatibility– Selected – honor consumer’s preference– Forced – upgrade by mandate
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October 27, 2005 Common Services 26
Software Versioning Motivations
• Limited exposure in production environments• Reduced complexity in implementing software
upgrades• Maximize functional flexibility• Coordinated software rollout and activation• Effective software configuration management• Shift impacts from hard coded application logic to
application runtime configuration.
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October 27, 2005 Common Services 27
Factors Limiting Versioning Effectiveness
• Backwards and forwards compatibility• Shared computing environment• Software update types• Deployment architecture• N-tier development characteristics
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October 27, 2005 Common Services 28
Factors: Compatibility Considerations
• Backward compatible – new versions must be compatible with impact of older versions on the shared environment
• Forward compatible – old versions must be compatible with impact of newer versions on the shared environment
• Compatibility types– Syntactic – the structure of API signatures, message
formats, etc.– Semantic – the meaning of data, business rules, GUI
navigation logic, etc.
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October 27, 2005 Common Services 29
Factors: Shared Computing Environment• Shared transactions – both semantic and syntactic
concerns (e.g. message flow across systems)• Shared data – both semantic and syntactic concerns
– Shared data types• Primary data (patient records, etc.)• Reference data
– Shared data semantic and syntactic elements• Conceptual content• Domain (e.g. elements in a pick list)• Metadata (field length, etc.)
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October 27, 2005 Common Services 30
Factors: Software Update Types
• Defect repair – largely transparent from a syntactic/semantic standpoint
• Enhancement – potentially syntactic or semantic (or both)
• Business Process Re-engineering – likely to have significant semantic changes and potentially syntactic changes as well
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October 27, 2005 Common Services 31
Factors: Deployment Architecture
• Central/Web based – Voluntary• Central/Web/Integrated – PATS, VPFS, Blind Rehab• Central Database/Distributed processing –
Scheduling Replacement• Centralized/Distributed Database & processing –
Common Services• Decentralized/Integrated – Imaging
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October 27, 2005 Common Services 32
Co-existent Version Deployment
Enhancements, Business Process Re-engineeringDefect repairs
Centralized/distributed data or processing
Decentralized data and processing
Database, Business Service updatesApplication Service updates
Forward/backward incompatibleForward/backward compatible
Cross-system transactionsLocal transactions
Shared, distributed dataNo data, local data
LimitationOpportunity
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October 27, 2005 Common Services 33
Conclusions: Versioned vs. Incremental release• Governed by factors of environment and software
update characteristics• Constrained by limiting factors that exist• Forward/backward compatibility is not consistently
achievable• Changes to shared data and cross-system
transactions cannot be effectively partitioned• Versioning rigor is needed to support both co-existent
versioned and incremental (big bang) release approaches
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October 27, 2005 Common Services 34
Conclusions: Reference Data
• Temporal model vs. versioned data– Temporal – provides longitudinal view of single version,
preferable for frequent content changes– Versioned – necessary for multiple views of a single table
to co-exist• Recommendation – Versioned/temporal
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October 27, 2005 Common Services 35
Conclusions: Versioning Implementation
• Implement for software components, business rules, XML schemas, software distributions, API integrations and reference data content
• Implement as needed for database schemas and metadata
• Make versioned vs. incremental release decisions in Release and Configuration Mgt. (not development)
• Create tools to manage runtime version consumption• Establish test process for both versioned and
incremental release paths
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October 27, 2005 Common Services 36
Next Steps
• Establish organizational consensus• Define versioning standard or policy development
teams must follow• Define software test/release process• Create development cookbook for meeting versioning
standard• Develop runtime version consumption mapping tools
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VistA Instances
Hines
PSIM
ADR/IDR
AAC
MPI
Atlanta
HEC
IVM
MVR
VistA 1 VistA 2 VistA 3 VistA 4 VistA 127 VistA 128
. . .VistA 5 VistA 6 VistA 126VistA 125
EDB
VIEHines
VIE 1 VIE 2 VIE 3 VIE 4 VIE 5 VIE 6 VIE125
VIE126
VIE127
VIE128
TODAY
VIEAAC
Site Personnel
HEC User
IMDQ User
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October 27, 2005 Common Services 38
VistA Instances
Hines
PSIM
ADR/IDR
AAC
MPI
Atlanta
HEC
IVM
MVR
EDB
VIEHines
June 2006
ADR
IDR
VIEAAC
PS, DSNDS, SDS, other CS
ESR
Failover
VistA 1 VistA 2 VistA 3 VistA 4 VistA 127 VistA 128
. . .VistA 5 VistA 6 VistA 126VistA 125
VIE 1 VIE 2 VIE 3 VIE 4 VIE 5 VIE 6 VIE125
VIE126
VIE127
VIE128
IMDQ User
HEC User
Site Personnel
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October 27, 2005 Common Services 39
Regional Data Center 2 thru N-1
Regional Data Center NRegional Data Center 1
Hines
PSIM
ADR/IDR
AAC
MVR
VIEHines
June 2008
ADR
IDR
VIEAAC
PS, DSNDS, SDS, other
ESR
Failover
VistA 1 VistA 2 VistA 3 VistA 4
VIER1
VistA 127 VistA 128VistA 126VistA 125
VIERn
. . .VistA 5 VistA 6
VIERxx
PS, DSNDS, SDS, other
PS, DSNDS, SDS, other
PS, DSNDS, SDS, other
ADR
ADR
ADR
IDR
IDR
IDRRSA
CDS, CPRS,Other HeV
RSA,CDS, CPRS,Other HeV
RSA, CDS, CPRS,Other HeV
Failover Failover
Site Personnel
HEC User
IMDQ User
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October 27, 2005 Common Services 40
Regional Data Center 2 thru N-1
Regional Data Center NRegional Data Center 1
Hines
PSIM
ADR/IDR
AAC
MVR
VIEHines
June 20XX
ADR
IDR
VIEAAC
PS, DSNDS, SDS, other
ESR
Failover
VIER1
VIERn
VIERxx
PS, DSNDS, SDS, other
PS, DSNDS, SDS, other
PS, DSNDS, SDS, other
ADR
ADR
ADR
IDR
IDR
IDRRSA
CDS, CPRS,Other HeV
RSA,CDS, CPRS,Other HeV
RSA, CDS, CPRS,Other HeV
Failover Failover
Site Personnel
HEC User
IMDQ User
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October 27, 2005 Common Services 41
Delivery Service
NationalPSD
Service
NationalADR DataBase
13. PSD Update to National ADR
Dynamic Routing Service
Subscribers forADR Updates
Example: Scheduling
PSD Messaging Architecture Scenario-S2:“A31” Message Flow [Transitional State With
ADR-Lite and Legacy VistA]
Consuming Applications
12. DS invokes PSD’s “A31Update” listener when sender=”HeV”
[PUB/SUB from 8]
14. PSD posts “gold” “A31Update” messagewith Sender=”ADR” [PUB/SUB]
16. DS invokes other Subscribers for “A31Update” when Sender=”ADR”
[PUB/SUB from 14]
15. DS obtains Sites of Interestlist for the person updated from the Dynamic Routing Service
[PUB/SUB from 14]
24. PSD posts “gold” “A31Restore” message with National ADR payload
with Sender=”ADR” [PTP to 25]
PSD API
Institution-A
File-200 Field-Level Trigger
LocalPSD
ServiceVistA
Process
ADR Lite for Site-A[Cache] VistA Database
Institution-A
Legacy Vista Message Queue
(VIE)
Consuming Applications
3. File 200 update
4. HL7 “A31” message
FIRE
Local Delivery Service
2. ADR Liteupdate
27. ADR “gold” restore
7. LegacyVistA sync-up
PSD API
Local Subscribers
9A. Invoke “A31Update” Listeners w/Sender=”HeV”
[PUB/SUB from 8]
29A. Invoke “gold” “A31Restore” Listeners
w/Sender=“HeV”
1. Initiate PSD update using
PSD API
8. Post “A31Update” w/Sender=”HeV”
[PUB/SUB]6. Invoke Local
PSD [PTP from 5]
9B. National DS listens for “A31Update” sender=”HeV”messages [PUB/SUB from 8]
25. DS invokes the Local PSD for the originating Site for
“A31Restore” sender=”ADR” restoration messages [PTP from 24]
Site-B
Local PSD
Service
ADR Lite Site-B
[Cache]
VistA Process
File-200 Field-Level
Trigger
VistA Database
Institution-A
Legacy Vista Message Queue
(VIE)
19. ADR “gold” update
PSD API
Local Delivery Service
18. Invoke local PSD service for “A31Update”
w/Sender=”ADR”
Local Subscribers
20. Post “A31UpdateLocal”w/Sender=”HeV” (PUB/SUB)
21A. Invoke Listeners for “A31UpdateLocal” w/Sender=”HeV”
[PUB/SUB from 20]
17. National DS invokes local Delivery service for each
Site that has subscribed for “A31Update” w/Sender=”ADR” and
is in the Sites of Interest list. [PUB/SUB from 14+15]
26. Invoke PSD[PTP from 24]
28. Post “gold” “A31Restore”
w/Sender=”HeV” [PUB/SUB]
31. File 200ADR “gold”
restore
11. File 200ADR-Litesync-up
10. Invoke VistA process for “A31Update” w/Sender=”HeV”
[PUB/SUB from 8]
30. ADR “gold” “A31Restore”
X23. File 200ADR Litesync-up
22. File 200ADR-Lite sync-up
29B. Relay to VIE for ‘gold” “A31Restore” w/Sender=”HeV”
[PUB/SUB from 28]5. Local DS listens to
legacy Vista Messaging
9C. Relay to VIE for “A31Update” w/Sender=”HeV”
[PUB/SUB from 8]
21B. Relay to VIE for “A31UpdateLocal” w/Sender=”HeV”
[PUB/SUB from 20]
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October 27, 2005 Common Services 42
Local Site 2
Person Service
Rehosted App
VistA
BD
???
2/00
Person Service
Central Site
Rehosted App
BD
SFLocal Site1
Person Service VistA
SF
???
2/00
FileMan
Rehosted App
BD
Msg Service
queue
Msg Service
queue
Msg Service
queue
FileMan
SF
External System
1. Update local system: update locally, add to local queue for central processing, publish to local sites
Scenarios
1.1
1.2
1.7
1.3
1.4
1.5
1.8
1.6
1.9
1.10
1.11
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October 27, 2005 Common Services 43
Local Site 2
Person Service
Rehosted App
VistA
BD
???
2/00
Person Service
Central Site
Rehosted App
BD
SFADRLocal Site1
Person Service VistA
SF
???
2/00
FileMan
Rehosted App
BD
Msg Service
queue
Msg Service
queue
Msg Service
queue
FileMan
SF
External System
1. Update local system (VistA): update locally, add to local queue for central processing, publish to local sites
Scenarios
2. Update local system (RApp): update locally, add to local queue for central processing, publish to local sites3. Update central system: Update central site then publish
MPI1.1
1.2
1.7
1.3
1.4
1.5
1.8
1.6
1.9
1.10
1.11
1.5
1.10
1.11
1.6
1.9
2.1
2.2
2.3
2.4
2.5
2.6
2.6
2.72.7
2.8
2.9
2.10
2.10
2.11
2.12
2.12
2.11
3.1
3.2
3.3
3.4
3.5
3.6
3.6
3.6
3.7
3.7
3.7
3.7
3.83.8
3.83.8
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October 27, 2005 Common Services 44
Local Site 2
Rehosted App
BD
Person Service
Central Site
Rehosted App
BD
SFLocal Site1
Person Service
SF
Rehosted App
BD
Msg Service
queue
Msg Service
queue
Msg Service
queue
Person Service
SF
External System
1. Update local system: Check central site before updating locally, add to local queue for central processing2. Update central system: Update central site then publish
Scenarios
3. Update external system: Update central site, then publish
ADR
MPI
VistA
???FileMan
VistA
???FileMan
2/00
2/00
2.1
2.2
2.3
3.2
3.3
3.4
3.4
3.5
3.5
3.6
3.6
3.1
2.4
2.5
2.6
2.6
2.8
2.7
2.7
2.8
1.4
1.1
1.2
1.3 1.5
1.6
1.7
1.8
1.9
1.10
1.11
1.12