iso/cen interoperability reference architecture and its...

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ISO/CEN Interoperability Reference Architecture and its impact on HL7 standards development and deployment Prof. Dr. habil. Bernd Blobel Medical Faculty, University of Regensburg. Germany First Medical Faculty, Charles University Prague, Czech Republic eHealth Competence Center Bavaria, Deggendorf Institute of Technology, Germany IHIC 2019 - Health interoperability: specifications, validation, testing. 19 th International HL7 Interoperability Conference 22-24 October 2019, Warsaw, Poland

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Page 1: ISO/CEN Interoperability Reference Architecture and its ...ihic.info/wp-content/uploads/2019/10/IHIC_2019_Blobel.pdf · HL7 CIMI, open-EHR Archetypes. FHIM Comp. View Physical HL7

ISO/CEN Interoperability Reference Architecture and its

impact on HL7 standards development and deployment

Prof. Dr. habil. Bernd BlobelMedical Faculty, University of Regensburg. Germany

First Medical Faculty, Charles University Prague, Czech RepubliceHealth Competence Center Bavaria, Deggendorf Institute of

Technology, Germany

IHIC 2019 - Health interoperability: specifications, validation, testing.19th International HL7 Interoperability Conference

22-24 October 2019, Warsaw, Poland

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Motivation of this Introduction

• This introduction reasons on, and demonstrates, a new and sustainable approach to comprehensive interoperability in increasingly complex and highly dynamic ecosystems.

• It introduces the system-oriented, ontology-based, policy-driven ISO Interoperability Reference Architecture, applied in a number of ISO, CEN and HL7 Health Informatics standards and meanwhile defined mandatory for any interoperability specification of ISO/TC215 and CEN/TC251.

• It is the background for the ISO/TC215 liaison to the ISO/IEC JTC 1/AG 8 Meta reference architecture and reference architecture for systems integration

• It is the basis for the ISO/PWI ISO 23903 Health Informatics – Interoperability Reference Architecture currently under specification.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Knowledge Space

Knowledge

Information

Data

Reflection, Innovation, Collaboration

Action, Structure, Semantics

Interpretation, Meaning, Semantics

Bernd BlobelUniversity of RegensburgMedical Faculty

Ellen Friedman, MAPR: Even if you're not a data scientist, you may hold one of the most valuable skills in data science: the ability to understand your own business. And that is one type of expertise that data science specialists may lack.

IHIC 201922-24 October 2019

Warzaw, Poland

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Interoperability Challenge• Communication and cooperation in dynamic, highly distributed, heterogeneous systems

sets special demands on interoperability between all actors (persons, organizations, devices, applications, components, objects) involved.

• The data level consideration is not sufficient and must be replaced by an end-user related perspective. So, interoperability is not sharing data, but sharing knowledge, that way enabling intelligent, context-aware cooperation.

• Interoperability describes motivation, willingness, ability, and capability to cooperate for achieving common goals or business objectives

• Interoperability requires knowledge, abilities and skills, shared and adapted a-priori or dynamically at runtime, for establishing adequately cooperating associated systems.

• Cooperating sub-systems form an interoperable system as result of systems integration.

• In ubiquitous personalized health, business cases and related policies cannot be pre-defined, but are determined by the subject of care‘s status, needs, wishes and expectations, frequently turning him to the health manager. Therefore, highly dynamic interoperability services provided in real-time are needed.

• Differences in meeting those interoperability requirements lead to different interoperability levels for ensuring comprehensive cooperation.

• Interoperability in the context of ICT systems is usually restricted to ICT facilities.Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Interoperability Challenge under the New Organizational, Methodological and Technological Paradigms

• It is impossible to represent the highly complex, highly dynamic, multidisciplinary/multi-domain healthcare system by one domain‘s terminology or even by using ICT ontologies (such as archetypes, HL7 RIM, Zackman Framework, etc.)

• There are approaches for representing multi-domain concepts in an hierarchical set of ontologies.

• For representing advanced interoperability settings, different representations must be linked to the same real world component. For that reason, an abstract and generic reference architecture able to represent any viewpoint or domain of interest is needed.

• The mathematical language of Universal Type Theory and its representation by a Parameterized Barentregt Cube provides a proper solution of that challenges enabling to represent any formal or informal language.

• Current approaches claiming to solve that problem do this on the basis of implicit knowledge or by using ICT representation tools the addressed domain experts, which should be in the lead, cannot understand. The aforementioned approach provides an alternative.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Objective of ISO/PWI 23903

• ISO/PWI 23903 provides a model and framework for integrating different standards as well as systems based on those specifications by supporting the use case specific identification and consistent, formal representation including constraints of the necessary components and their relationships without the need for revising those specifications.

• It facilitates analysis and improvement of specifications under revision, the deployment of existing standards and work products as well as the design of new projects.

• The approach is future proof due to its scientific soundness, based on systems theory, knowledge representation and knowledge management via ontology development and harmonization, that way supporting advanced interoperability between dynamic, multi-domain systems through knowledge and skills sharing in the context of intelligent cooperation.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Objective of ISO/PWI 23903

• The approach is successfully deployed in several standards such as ISO 22600, ISO 21298, ISO 13606, ISO 12967, ISO 13940 and ISO 13972 (both under way), but also in most of the HL7 security specifications.

• Meanwhile also other SDOs such as IEEE investigate in the given direction.

• ISO/IEC 10746 doesn’t include the business viewpoint, thereby explicitly excluding non-ICT ontologies, while OMG’s SOA explicitly names domain ontologies for representing the conceptual model, defining ICT ontology just for the information and technology model.

• ISO/PWI 23903 adopts for the development process objectives, content and presentation style used in other foundational standards such as ISO/IEC 10746, however addressing the business domain missed in ISO/IEC 10746. This way it qualifies for a potential ISO/IEC 10746-6.

• ISOPWI 23903 “works” like a system integrator.Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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HumanResources

Representations

Biomed.Technologies

Representations

MedicineRepresentations

BiologyRepresentations

PatientRepresentations

ICTRepresentations

Health Professional

Representations

EthicsRepresentations

Legal/Regula-tory Affairs

Representations

BusinessAdmin.

Representations

Reference Architecture

Model

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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ISO/NWI ISO 23903 Normative References

• The following documents, in whole or in part, are normatively referenced in this document and are indispensable for its application. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies.

• ISO/IEC 10746 Information technology - Open distributed processing -Reference model: Part 1-4

• OMG Ontology Definition Metamodel V1.1

• ISO/IEC CD 21838 Information technology – Top-level ontologies: Part 1-2

• ISO 22600 Health informatics – Privilege management and access control: Part 1-3

• ISO 21298 Health informatics – Functional and structural roles

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Short History of the Interoperability Reference Architecture

• Mid-nineties: OMG proposed a methodology for analyzing and systematizing legacy and newly developed systems with respect to their distribution, scalability, and cooperation from the system's point of view instead from a software perspective.

• 1997: The Generic Component Model (GCM) was first internationally published.

• 2003: ISO 22600 ‘Health informatics – Privilege management and access control’ for managing multiple policies was approved. The GCM approach provides the basis for its formal modelling.

• The approach served as basis for ISO 21298 ‘Health informatics – Structural and functional roles’ as well as for most of the HL7 security and privacy specifications.

• 2015: Decision at ISO/TC215 Meeting in Bern to include the Interoperability Reference Architecture in all interoperability specifications of ISO/TC215 and CEN/TC251.

• 2016: Confirmation of that decision at the ISO/TC215 Meeting in Amsterdam.

• 2018: Decision to establish a foundational standard on Interoperability and Integration Reference Architecture, balloted and approved in 2019.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Modeling Challenges of Advanced Interoperability

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Universal Type Theory Basis of the GCM – BarendregtCube with Parameters →Meta Reference Architecture

After Kamareddine et al.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Types of Ontologies

General logicModal logic

Description logicFirst-order logic

Propositional logicFormal languages

Frames

Formal taxonomiesData models

XML SchemaDatabase schemas

Principled, informational hierarchiesXML DTD

Structured glossariesThesauri

Data dictionariesAd hoc hierarchies

“ordinary” glossariesTerms

Formal ontologies

Meta-data and data models

Thesauri and taxonomies

Glossaries and data dictionaries

Formalization

Expre

ssiv

ity

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Context-Free vs. Context-Aware Grammars

Any business system can be represented using ICT ontologies. However, the justification of correctness and completeness of structure and behavior of the represented ecosystem can only be provided at the business ecosystem’s view using the involved domains’ ontologies. Justification of structure and behavior representation includes the representational components, their underlying concepts, their relations, but also the related constraints.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Generic Reference Architecture

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Represented by ICT ontology

Ente

rprise V

iew

Info

rma

tio

n V

iew

Co

mp

uta

tio

na

l V

iew

En

gin

ee

rin

g V

iew

Te

ch

no

log

y V

iew

Represented by ICT ontology

Bu

sin

ess V

iew

En

terp

rise

Vie

w

Info

rma

tio

n V

iew

Co

mp

uta

tio

na

l V

iew

En

gin

ee

rin

g V

iew

Te

ch

no

log

y V

iew

a) b)

Rep

rese

nte

db

yd

om

ain

on

tolo

gy

Extending ISO/IEC 10746

Bernd BlobelUniversity of RegensburgMedical Faculty

ISO/IEC JTC1 AG8 eMeeting26 July 2019

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ISO Interoperability Reference Architecture Model

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Busin

ess V

P

Ente

rprise V

P

Info

rma

tion V

P

Com

puta

tional V

P

Engin

eerin

g V

P

Technolo

gy V

P

Syste

m C

om

pone

nt

Com

positio

n

System Viewpoint

Business Concepts

Relations Networks

Aggregations

Details

Domain n

Domain 2Domain 1

ISO Interoperability Reference Architecture Model

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Interoperability Mediated by the ISO Interoperability Reference Architecture Model

HumanResources

Representations

Biomed.Technologies

Representations

MedicineRepresentations

BiologyRepresentations

PatientRepresentations

ICT Specs.

Health Professional

Representations

EthicsRepresentations

Legal/Regula-tory Affairs

Representations

Business Admin.Representations

Reference Architecture

Model

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Development Process

Perspective

Existing domain-

specific models,

specifications and

solutions

Harmonization and

transformation using logics,

meta-languages, etc., at the

level needed

System-theoretical, ontology-

based, policy-driven abstract

Interoperability Reference

Architecture model and

framework representing any

system‘s components, their

functions and interrelations

Formalized components,

missing existing components,

their functions and interrelations,

re-engineered in the use-case-

specific Interoperability

Reference Architecture instance

Mapping of instances

Missing components

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Data Model Level

Modeling Actors

Model Scope Dimension of Modeling

Interop. Reference Architecture

Examples

Very-high-level data model

Business domains stakeholders

Scope, requirements and related basic concepts of business case

Knowledge space

Business View

ISO

/CEN

Inte

rop

erab

ility

Ref

eren

ce A

rch

itec

ture

High-level data model

Business domains stakeholders

Relevant information and representation & relationships of basic concepts

Knowledge Enterprise View DCM, CSO

Logical data model

Data modelers and analysts

Layout & types of data and object relationships

Information Information View

HL7 V3 (CMETs), HL7 CIMI, open-EHR Archetypes. FHIM

Comp. View

HL7 FHIRPhysical data model

Data modelers and developers

Implementation-related and platform-specific aspects

Data Engineering ViewTechnology View HL7 V2/V3 ITS,

SQL, OHDSI, OMOP

Comparing Data Model Levels, Dimensions of Modeling, and the ISO Interoperability Reference Architecture Model

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Domain 1

Domain 2

Domain 3

Domain n

Bu

sin

ess

Vie

w

Ente

rpri

se V

iew

Info

rmat

ion

Vie

w

Co

mp

uta

tio

nal

Vie

w

Engi

nee

rin

g V

iew

Tech

no

logy

Vie

w

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Examples based on the ISO/TC215 and CEN/TC251 Interoperability Reference Architecture

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Domain n

Domain 2Domain 1

En

terp

rise V

iew

Info

rmati

on

Vie

w

Co

mp

uta

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w

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ng

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Tech

no

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t C

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po

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System Viewpoint

Sys

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l P

ers

pe

cti

ve

Development Process

Perspective

Domain Perspective

Business Concepts

Relations Networks

Aggregations(Basic Services / Functions)

Details (Basic Concepts)

Security Services Represented Using GCM

enabling/disenablin

g access,

delegation,

encoding/decoding

identification, authentication,

integrity check, non-repudiation,

security logging, digital signature

directory services, ID

management, certification

management, naming services

Information

security

management,

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Policy Ontology(ISO 22600-2)

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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ISO 22600-2,3

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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ISO 21298

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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ISO 13606 Reference Architecture

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HL7

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an

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Development Process

Perspective

Business Concepts

Relations Networks

Aggregations

Details

Domain an

Domain a2

Domain a1

Syste

m’s

Arc

hi-

tectu

ral

Pers

pe

cti

veDomain Perspective

Development Process

Perspective

Business Concepts

Relations Networks

Aggregations

Details

Domain bm

Domain b2

Domain b1

Syste

m’s

Arc

hi-

tectu

ral

Pers

pe

cti

veDomain Perspective

Bu

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VP

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Business Concepts

Relations Networks

Aggregations

Details

Domain n

Domain 2

Domain 1

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Resource: Facility

Resource: Actor

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Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Domain n

Domain 2Domain 1

Bu

sin

ess V

iew

Ente

rprise V

iew

Info

rmation V

iew

Com

puta

tional V

iew

Engin

eering

Vie

w

Technolo

gy V

iew

Syste

m C

om

po

ne

nt

Co

mpo

sitio

n

System Viewpoint

DAM

FM

SFM

R-RMIMCMET

ITS

Business Concepts

Relations Networks

Aggregations

Details CDA

R-MIM

CMET

D-MIM

CI

M

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Conclusions 1

• Interoperability is not first a matter of the ICT domain, but a user domains‘ one.

• Interoperability is a challenge to meeting business objectives by sharing knowledge and skills, which should be built on a hierarchical system of ontologies.

• Interoperability must go beyond simplification and abstraction for data integration at ICT ontology level towards concept and rule harmonization and integration at business domains’ ontologies level.

• The modeling process is an iterative one where the first iteration is performed in a top-down manner to guarantee the conceptual integrity of the model.

• The view on the model as well as the way of structuring and naming the concepts of the problem space have to be defined by the relevant stakeholders.

• Multi-disciplinary interoperability solutions (life sciences, natural sciences, technology, legal and social sciences, etc.) require an architecture-centric systems approach to the domains of discourse represented by their ontologies, so enabling the formalization of systems representation and integration including ontology mapping, supported by appropriate tools.

• Flexible, scalable, business-controlled, adaptive, knowledge-based, intelligent systems must follow a systems-oriented, architecture-centric, ontology-based and policy-driven approach.

• Such approach requires ISO/PWI 23903 Health informatics – Interoperability Reference Architecture.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Conclusions 2

• ISO/PWI 23903 provides a model and framework for integrating different standards as well as systems based on those specifications by supporting the use case specific identification and consistent, formal representation including constraints of the necessary components and their relationships within the different viewpoint of he extended ISO/IEC 10746 RM-ODP without the need for revising those specifications.

• This implies the appropriate reuse of existing components for representing those viewpoints.

Bernd BlobelUniversity of RegensburgMedical Faculty

IHIC 201922-24 October 2019

Warzaw, Poland

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Contact:

Prof. Dr. habil. Bernd Blobel, FACMI, FACHI, FHL7, FEFMI, FIAHSIMedical Faculty, University of RegensburgFormer Head, German National eHealth Competence CenterVisiting Professor, 1st Medical Faculty, Charles University PragueEmail: [email protected]

Thank You Very Much For Your Attention!