The second lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It discusses interoperability using HL7 v2 and v3 as examples of syntactic and semantic interoperability, respectively.
Kong Konnectは、API Gateway(APIゲートウェイ)、Service Mesh(サービスメッシュ)、およびIngress(イングレス)を統合して、APIライフサイクル全体にわたってエンドツーエンドのサービス接続を提供するAPIサービスコネクティビティプラットフォームです。これは、アプリケーション内のサービス間、ないしはアプリケーション間でエンドツーエンドの接続を提供し、エッジでサービスを公開する唯一のプラットフォームです
Kong Konnectは、オンプレミス、クラウド、VM、Container(コンテナ)さらにはkubernetesなど、あらゆるプラットフォーム、そしてREST、GraphQL、gRPC、Kafkaなどの最新のプロトコルを介してサービスを接続します。Hybrid Cloud(ハイブリッドクラウド構成)やMulti Cloud(マルチクラウド構成)など、あらゆるインフラストラクチャおよびあらゆる展開パターンにわたって100%一貫した方法で展開できます
Kong Konnectメリット
APIゲートウェイからService Meshに至るまで一貫したポリシー適用/オペレーションにより、セキュアなAPIサービスコネクティビティを展開
あらゆるインフラストラクチャをサポート、ベンダーロックインからの解放
Kong Konnectライセンスは本番/開発環境、ノードなどの数にかかわらず、本番環境のAPI数とAPIコール数のみで算出。APIシステム全体のコストを最適化
Kong Konnectは、API Gateway(APIゲートウェイ)、Service Mesh(サービスメッシュ)、およびIngress(イングレス)を統合して、APIライフサイクル全体にわたってエンドツーエンドのサービス接続を提供するAPIサービスコネクティビティプラットフォームです。これは、アプリケーション内のサービス間、ないしはアプリケーション間でエンドツーエンドの接続を提供し、エッジでサービスを公開する唯一のプラットフォームです
Kong Konnectは、オンプレミス、クラウド、VM、Container(コンテナ)さらにはkubernetesなど、あらゆるプラットフォーム、そしてREST、GraphQL、gRPC、Kafkaなどの最新のプロトコルを介してサービスを接続します。Hybrid Cloud(ハイブリッドクラウド構成)やMulti Cloud(マルチクラウド構成)など、あらゆるインフラストラクチャおよびあらゆる展開パターンにわたって100%一貫した方法で展開できます
Kong Konnectメリット
APIゲートウェイからService Meshに至るまで一貫したポリシー適用/オペレーションにより、セキュアなAPIサービスコネクティビティを展開
あらゆるインフラストラクチャをサポート、ベンダーロックインからの解放
Kong Konnectライセンスは本番/開発環境、ノードなどの数にかかわらず、本番環境のAPI数とAPIコール数のみで算出。APIシステム全体のコストを最適化
Data Vault 2.0 DeMystified with Dan Linstedt and WhereScapeWhereScape
Join Dan Linstedt and WhereScape to learn the benefits that Data Vault 2.0 offers to data warehousing teams, what it is and isn't, and how data vault automation can help teams implement Data Vault 2.0 more quickly and successfully.
The forth lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to RDF. It starts presenting the data model. Then it presents the turtle serialization. It compares XML vs. RDF. Finally, it provides few informations about RDFa and Linked Data.
Data Vault 2.0 DeMystified with Dan Linstedt and WhereScapeWhereScape
Join Dan Linstedt and WhereScape to learn the benefits that Data Vault 2.0 offers to data warehousing teams, what it is and isn't, and how data vault automation can help teams implement Data Vault 2.0 more quickly and successfully.
The forth lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to RDF. It starts presenting the data model. Then it presents the turtle serialization. It compares XML vs. RDF. Finally, it provides few informations about RDFa and Linked Data.
The third lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to the Semantic Web taking a brief walk through in this 15 years of research, standardisation and industrial uptake.
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. However, we risk that data piles up without easing decision making. This key note, which I gave at the 12th Semantic Web Summer School, presents how stream reasoning (an approach to tame simultaneously the variety and velocity dimensions of Big Data) and advance visual analytics can support decision makers and discusses the lesson learnt.
Bi-later integration are a short term approach to business integration, but only standards provide a long term solution. Unfortunately, agreeing on standards is hard and takes time, thus translation between standards is unavoidable. Embracing change is the only way to benefit from short term translation while developing over time comprehensive standards. Semantic technologies are design with flexibility in mind and, therefore, they can help in developing more comprehensive standards and easier to maintain translations.
From the semantic interoperability problem to Google's knowledge graph passing from the Semantic Web, Linked Data, Yahoo! search monkey, Facebook Open Graph, and schema.org.
Putting the L in front: from Open Data to Linked Open DataMartin Kaltenböck
Keynote presentation of Martin Kaltenböck (LOD2 project, Semantic Web Company) at the Government Linked Data Workshop in the course of the OGD Camp 2011 in Warsaw, Poland: Putting the L in front: from Open Data to Linked Open Data
It's a Streaming World! Reasoning upon Rapidly Changing Information (Milano, ...Emanuele Della Valle
Reasoning on rapidly chancing information requires: a) semantic models for representing both data streams and continuous querying/reasoning tasks, and b) reasoning algorithms optimised for continuous reactive query-answering. This talk presents applications cases from which Stream Reasoning requirements were elicited, it briefly covers the findings of 5 year of research, it presents an optimised algorithm for Incremental Reasoning on RDF Streams (IMaRS), and offers an outlook on future research opportunities.
In this tutorial participants will learn the history of the RIM, the method by which the RIM is maintained, and key characteristics of the RIM that make it the premier information model in healthcare.
Topics Covered:
1. Introduction to HL7: who, what, and why
2. Introduction to HL7 v3: what and why
3. History of the HL7 Reference Information Model
4. HL7 RIM Subjects, Core Classes, and Structural Attributes
5. State Machines of RIM Core Classes
6. HL7 v3 Datatypes
7. HL7 v3 Vocabulary
This tutorial will assist in preparation for the HL7 v3 Certification exam.
PATHS state of the art monitoring reportpathsproject
This document provides an update to an Initial State of the Art Monitoring report delivered by the project. The report covers the areas of Educational Informatics, Information Retrieval and Semantic Similarity relatedness.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Similar to Ist16-02 HL7 from v2 (syntax) to v3 (semantics) (20)
Data streams take many forms and their velocity is hard to tame. They can be myriads of tiny flows that you can collect to tame with Time-series Databases; continuous massive flows than you cannot stop to tame with Data Stream Management Systems; Continuous numerous flows that can turn into a torrent to tame with Event-based Systems; and myriads of continuous flows of any size and speed that form an immense delta to tame with Event-Driven Architectures. Enjoy this introductory talk!
This is the presentation that I did for PoliMI Data Scientists on Stream Reasoning, an approach to blend Artificial Intelligence and Stream Processing.
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
HiPPO and Flipism are no longer the only way to take decisions. In the Big Data / Data Science era one can dream of data-driven organization. If the data were "oil", Big Data technologies extract, transport, and store it, while Data Science methods provide the a way to "refine the crude oil". This presentation elaborates on the Ws (What, Why, When, Who and How) of Big Data and Data Science.
La Città dei Balocchi, con le sue luci, è un evento chiave nel panorama dell'offerta turistica Natalizia Lombarda. La presentazione riporta i risultati di un'analisi di chi è venuto e quando.
Realizzato da Fluxedo srl e Olivetti spa per il Consorzio Como Turistica, con la collaborazione di Politecnico di Milano, TIM e Comune di Como, nel contesto del progetto CrowdInsights finanziato da EIT Digital.
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
Big Data tech can tame volume and velocity. Taming Variety in presence of volume and velocity is the real challenge. I’ve been working on taming variety and velocity simultaneously (Stream Reasoning) for 10 years, now. In this talk, I give you some examples of application domains where this is necessary. I explain where the Stream Reasoning community went so far in theory, applications and products. In particular I focus on my applications and my startup Fluxedo, which is offering real-time social media analytics across social networks. I conclude the talk discussing what comes next: 1) the need to focus on languages and abstractions able to easily capture user needs; 2) the need to find the sweet-spot between scalability and expressive semantics; 3) the need to used semantics to model more than the data access; and 4) the need to get over imperfect data. If you are exited, I did my job for today!
Every body talks about Big Data, but why? Do it create value? Do it enable some paradigmatic shifts in the way we work with data? This talk I did at ComoNext research and technological park cast some light on those questions.
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
More and more applications require real-time processing of heterogeneous data streams. In terms of the “Vs” of Big Data (volume, velocity, variety and veracity), they require addressing velocity and variety at the same time. Big Data solutions able to handle separately velocity and variety have been around for a while, but only Stream Reasoning approaches those two dimensions at once. Current results in the Stream Reasoning field are relevant for application areas that require to: handle massive datasets, process data streams on the fly, cope with heterogeneous incomplete and noisy data, provide reactive answers, support fine-grained information access, and integrate complex domain models. This talk starting from those requirements, frames the problem addressed by Stream Reasoning. It poses the research question and operationalise it with four simpler sub-questions. It describes how the database group of Politecnico di Milano positively answered those sub-questions in the last 7 years of research. It briefly surveys alternative approaches investigated by other research groups world wide and it elaborates on current limitations and open challenges.
The 10 minutes presentation I gave at my PhD defence on 21.9.2015 in Amsterdam. Prof. Frank van Harmelen was my promoter. Prof. Ian Horrocks, prof. Manfred Hauswirth, prof. Geert-Jan Houben, Peter Boncz and prof. Guus Schreiber were my opponents.
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. This happens thanks to the pervasive deployment of sensors, the wide adoption of smart phones, the usage of (location-based) social networks and the availability of datasets about urban environment. So while data becomes every day more abundant, decision makers face the challenge to increase their capability to create value out of the analysis of this data. This key note presents how advance visual analytics, ontology base data access and information flow processing methods can help in making sense of Social Media Streams and Call Data Records from Mobile Network Operators during city scale events. Real-world deployments demonstrate the ability of those methods to advance our ability to feel the pulse of our cities in order to deliver innovative services.
C’è un modo di raccontare un evento che passa attraverso la lettura dei flussi social che genera. Quella traccia digitale che ogni partecipante lascia sui social network quando condivide la sua partecipazione o la sua opinione. E’ possibile fondere e interpretare in tempo reale tali tracce utilizzando tecnologie d’analisi d’avanguardia e modelli avanzati di visualizzazione dei dati. Nel 2014 in collaborazione con StudioLabo e Telecom Italia, il Politecnico di Milano ha realizzato CitySensing, per mostrare l’impronta lasciata dal FuoriSalone sui social network. Focalizzando, in seguito, CitySensing sulle esigenze del gestore dell’evento, il Politecnico di Milano ha mostrato la potenzialità dell’approccio per il Festival della Comunicazione di Camogli e per il Festival delle Letterature di Pescara. La soluzione è ora offerta da Fluxedo.
C'è un modo di racocontare la città che passa attraverso la lettura dei flussi di dati che essa genera. Quelle tracce digitali che ciascuno di noi lascia ogni volta che compie un piccolo gesto quotidiano, come fare una telefonata o inviare un tweet.
In City Data Fusion, il Politecnico di Milano e Telecom Italia raccontano le città fondendo, interpretando e visualizzando i Big Data, ovvero quell'enorme e continuo flusso di tracce digitali che i loro abitanti e visitotori lasciano utilizzando il proprio smartphone o i servizi della città.
Questa presentazione vi introduce all'osservazione alcune città italiane in una prospettiva nuova.
Big data: why, what, paradigm shifts enabled , tools and market landscapeEmanuele Della Valle
This presentation brings together many contents you may have seen before (reports by McKinsey, Gatner and IBM, and info-graphics by Intel and Go-Globe) are agglomerated in one comprehensive and up-to-date view of Big Data.
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015Emanuele Della Valle
EIT ICT Labs wants be present at EXPO 2015. The City Data Fusion project proposes to install City Sensing in EXPO Gate to display the pulse of Milano during the EXPO. The idea of City Data Fusion and the installation of City Data Fusion for Milano Design Week 2014 is covered in the slides.
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...Emanuele Della Valle
Linked Data publishing on the Web is a stably growing phenomenon, but its effective usage depends on the ability of consumers to assess the trustworthiness and the relevance of the published data. Pure automatic techniques are often inadequate to this end. Crowdsourcing is often advocated as a valuable solution. In this presentation, we propose WikiFinder – a Games With A Purpose inspired by popular mobile puzzle games – and we report on its effectiveness in solving typical Linked Data Management tasks.
City Data Fusion: A Big Data Infrastructure to sense the pulse of the city in...Emanuele Della Valle
Streams of information flow through our cities thanks to their progressive instrumentation with diverse sensors, a wide adoption of smart phones and social networks, and a growing open release of datasets. This research investigates the possibility to feel the pulse of our cities in real-time by fusing and making sense of all those information flows. The expected result is a Big Data infrastructure that exploits: semantic technologies, streaming databases, visual analytics, and crowd-sourcing techniques whose incentives are designed for urban environment and life styles. Early deployments for city scale events offer insights on the kind of services such infrastructure will enable.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
1. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Interoperability and Semantic Technologies 2015-16
HL7: from syntax (v.2) to semantics (v.3)
Emanuele Della Valle
DEIB - Politecnico di Milano
http://emanueledellavalle.org - @manudellavalle
2. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Share, Remix, Reuse — Legally
This work is licensed under the Creative Commons Attribution
3.0 Unported License.
Your are free:
to Share — to copy, distribute and transmit the work
to Remix — to adapt the work
Under the following conditions
Attribution — You must attribute the work by inserting
“by E. Della Valle – http://emanueledellavalle.org -
@manudellavalle”
at the end of each reused slide
To view a copy of this license, visit
http://creativecommons.org/licenses/by/3.0/
2
3. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Health Level 7
• Founded in 1987, Health Level Seven International is one of
several American National Standards Institute (ANSI) -
accredited Standards Developing Organizations (SDOs)
operating in the healthcare arena. Most SDOs produce
standards (sometimes called specifications or protocols) for a
particular healthcare domain such as pharmacy, medical
devices, imaging or insurance (claims processing)
transactions. Health Level Seven's domain is clinical and
administrative data.
• HL7 develops:
• conceptual standards (e.g., HL7 RIM)
• document standards (e.g., HL7 CDA)
• messaging standards (e.g., HL7 v2.x and v3.0).
3
4. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v.2.x principles
Message Description
ACK General acknowledgment message
ADR ADT response
ADT ADT message
BAR Add/change billing account
CRM Clinical study registration message
CSU Unsolicited study data message
DFT Detail financial transactions
DOC Document response
DSR Display response
HL7 v.2.x roots are to
be found in situations
like where two
systems need to align
their data
Trigger events
Actions or Events
Messages
Contains the actual
information
Segments
Reusable structures
Data elements
Data representation
4
*ADT: Admission Discharge Transfer
*
5. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v2 enables bi-later integrations
Complementary application
[…]
Organizational
boundaries
application
[…]
adapter
!
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6. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v.2.x principles
6
The Type of a message is identified by a three
digit code, and the Event that starts a
communication is called Trigger
Message Description
ACK General acknowledgment message
ADR ADT response
ADT ADT message
BAR Add/change billing account
CRM Clinical study registration message
CSU Unsolicited study data message
DFT Detail financial transactions
DOC Document response
DSR Display response
Code samples
and their
meaning New codes can be
defined using Z as the
first code character
7. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v.2.x principles
ZCH|Donor^Eyes~Donor^Heart~Donor^Lungs
ZCH|ADE^DO NOT RECESITATE
…… whatwhat’’s the meaning of a Z code !?!s the meaning of a Z code !?!
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8. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v.2.4 example
MSH|^~&|GHH LAB|ELAB-3|GHHOE|BLDG4|200202150930||ORU^R01|CNTRL-3456|P|
2.4<cr>
PID|||555-44-4444||EVERYWOMAN^EVE^E^^^^L|JONES|19620320|F|||153 FERNWOOD
DR.^^STATESVILLE^OH^35292||(206)3345232|(206)752-121||||AC555444444||67-
A4335^OH^20030520<cr>
OBR|1|845439^GHH OE|1045813^GHH LAB|15545^GLUCOSE|||200202150730|||||||||
555-55-5555^PRIMARY^PATRICIA P^^^^MD^^|||||||||F||||||444-44-
4444^HIPPOCRATES^HOWARD H^^^^MD<cr>
OBX|1|SN|1554-5^GLUCOSE^POST 12H CFST:MCNC:PT:SER/PLAS:QN||^182|mg/dl|
70_105|H|||F<cr>
Completion of a serum glucose laboratory result of 182 mg/dL authored by
Howard H. Hippocrates. The laboratory test was ordered by Patricia Primary for
patient Eve E. Everywoman. The use case takes place in the US Realm.
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9. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v.2.4 example (2)
MSH|^~&|GHH LAB|ELAB-3|GHHOE|BLDG4|200202150930||ORU^R01|CNTRL-
3456|P|2.4<cr>
The MSH (Message Header) segment contains the message type, in this case,
ORU^R01, which identifies the message type and the trigger event. The sender is
the GHH Lab in ELAB-3. The receiving application is the GHH OE system located
in BLDG4. The message was sent on 2002-02-15 at 09:30. The MSH segment is the
initial segment of the message structure.
PID|||555-44-4444||EVERYWOMAN^EVE^E^^^^L|JONES|19620320|F|||153
FERNWOOD DR.^^STATESVILLE^OH^35292||(206)3345232|(206)752-121||||
AC555444444||67-A4335^OH^20030520
The PID (Patient Identification) segment contains the demographic information of
the patient. Eve E. Everywoman was born on 1962-03-20 and lives in Statesville OH.
Her patient ID number (presumably assigned to her by the Good Health Hospital) is
555-44-4444.
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10. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v.2.4 example (3)
OBR|1|845439^GHH OE|1045813^GHH LAB|15545^GLUCOSE|||
200202150730||||||||| 555-55-5555^PRIMARY^PATRICIA P^^^^MD^^|||||||||F||||||444-
44-4444^HIPPOCRATES^HOWARD H^^^^MD<cr>
The OBR (Observation Request) segment identifies the observation as it was
originally ordered: 15545^GLUCOSE. The observation was ordered by Patricia
Primary MD and performed by Howard Hippocrates MD.
OBX|1|SN|1554-5^GLUCOSE^POST 12H CFST:MCNC:PT:SER/PLAS:QN||^182|
mg/dl|70_105|H|||F<cr>
The OBX (Observation) segment contains the results of the observation: 182
mg/dl.
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11. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Limitations of HL7 v.2.x
• Implicit data model (i.e., positional)
• Events are difficult to be linked to their respective business
processes
• Optional fields (see |||||)
• A single message support only one coding system
• No support for
object technologies
XML and Web technologies
• No support for security
11
12. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Limitations of HL7 v.2.x
AdmittanceAdmittance
WardWard
LaboratoryLaboratory
AdministrationAdministration
Message brokerMessage broker
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13. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Limitations of HL7 v.2.x
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14. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Limitations of HL7 v.2.x
The main limit related to a message-only architecture (even when aThe main limit related to a message-only architecture (even when a
using a bus) is that information remain confined inside all the singleusing a bus) is that information remain confined inside all the single
applications deployed in a companyapplications deployed in a company
Application 1
messagesWhere’s the right
patient’s address ?
Application 2
Application 3
By just using messages, different applications can
interact, but no coherent information base can be created
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15. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 v.2.x in XML
• Adoption of XML
• Element Naming
Convention
• message name and
trigger event ORM_O01,
ADT_A01,
• Segment element MSH,
PID, OBX, etc.
• Datatype name and
component number
CE.2, HD.1, XAD.3, etc.
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16. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Limitations of HL7 v.2.x in XML
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17. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 - Version 3
• Initial HL7 standards (Version 2) were based on a
pragmatic ‘just do it’ approach to standards
• HL7 saw the need to revise and formalize the process
• to assure consistency of the standards
• to meet plug’n’play demands
• to be able to adopt and leverage new technologies for both HL7 and
its users
• Adopted the new methodology in 1997
• based on best development & design practices
• supports ‘distributed’ development across committees
• It is technology neutral
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18. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 version 3 intent
18
[…]
[…]
[…]
[…]
[…]
[…]
[…]
19. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
HL7 - Version 3
• Methodology based on shared models
• Reference Information Model (RIM) of the health care information
domain
• Defined vocabulary domains
• Drawn from the best available terminologies directly linked to the RIM
• Supported by robust communication techniques
• Harmonization process that
• Assures each member and committee a voice in the process, yet
• Produces a single model as the foundation for HL7 standards
• Continuous balloting - begun in 2009 – produces a new
release each year.
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20. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
The essence of Version 3
• Apply the ‘best practices’ of software development to
developing standards - a model-based methodology
• Predicate all designs on two semantic foundations
• a reference information model (RIM) and
• a complete, carefully-selected set of terminology domains
• Require all Version 3 standards to draw from these two
common resources
• Use software-engineering style tools to support the
process.
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21. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
The essence of Version 3
• A family of specifications
• Built upon a single model of
• How we construct our messages
• The domain of discourse
• The attributes used
• Constructed in a fashion to rapidly develop a comprehensive,
fully constrained specification in XML
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22. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
How is Version 3 “better”?
• Conceptual foundation
• a single, common reference information model to be used across HL7
• Semantic foundation
• in explicitly defined concept domains drawn from the best
terminologies
• Abstract design methodology
• technology-neutral
• able to be used with whatever is the preferred technology: documents,
messages, services, applications
• Maintain a repository of the semantic content
• to assure a single source, and enable development of support tooling
23. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Version 3 - where is it being used?
• As
• Clinical Document Architecture (CDA) documents,
• SOA designs
• interchanged Messages
• In
• large-scale projects deriving from governmental mandates
• For
• communications between multiple, independent, “non-integrated”
entities
• Wherever there are requirements to communicate parts of an
Electronic Health Record (EHR) and to maintain the integrity of the
EHR data relationships
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24. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Positioning HL7
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25. E. Della Valle – http://emanueledellavalle.org - @manudellavalle
Interoperability and Semantic Technologies 2015-16
HL7: from syntax (v.2) to semantics (v.3)
Emanuele Della Valle
DEIB - Politecnico di Milano
http://emanueledellavalle.org - @manudellavalle
Editor's Notes
In the context of Health informatics, CCOW or Clinical Context Object Workgroup is an HL7 standard protocol designed to enable disparate applications to synchronize in real time, and at the user-interface level. It is vendor independent and allows applications to present information at the desktop and/or portal level in a unified way.
CCOW is the primary standard protocol in healthcare to facilitate a process called &quot;Context Management.&quot; Context Management is the process of using particular &quot;subjects&quot; of interest (e.g., user, patient, clinical encounter, charge item, etc.) to &apos;virtually&apos; link disparate applications so that the end-user sees them operate in a unified, cohesive way.