Talk:Sharing Value Sets

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Proposed Profile: Sharing Value Sets

  • Proposal Editor: Christel Daniel (AP-HP, INSERM, Paris), Karima Bourquard (GMSIH), François Gareil (Thales), Jean Delahousse (Mondeca), Norbert Lipszyc (DBmotion), Pierre Zweigenbaum (LIMSI, CNRS), Ana Esterlich (GIP-DMP), Charles Rica (GIP-DMP), Jean-Christophe Cauvin (Medasys), Russell Hamm (Apelon, Inc.)
  • Profile Editor: Ana Estelrich
  • Date: N/A (Wiki keeps history)
  • Version: N/A (Wiki keeps history)
  • Domain: ITI

Summary

A method for sharing Value Sets is needed so that medical applications can easily install or update the nomenclature used in their daily patient care.

Federal healthcare facilities, RHIOs, and national EHRs share health information, but the vocabulary currently used to encode patient data is not uniform, resulting in erroneous data capture and a lack of semantic interoperability (1). Sharing national terminologies would help.

The HL7 v3 Reference Information Model (RIM) version 2.14n, and the HL7 Common Terminology Services (HL7 CTS) version 1.2 are mature and ready to use. A Value Set, including values from one or more code systems, could be used to facilitate the creation of a CCD document or assigning an anatomical region to an image that will be transferred across enterprises.

Offering the healthcare providers an easier acces to a common terminology would improve the semantic interoperability and improve the overall outcome of patient care.

The profile will focus as a first step onto Value Sets as flat lists of concept codes. Once a well-establish mechanism is in place, further functionalities related to handling terminologies can be explored.

The IHE-ITI-XDS can provide the infrastructure necessary for achieving semantic interoperability.

The Problem

Today’s terminologies are becoming more and more complex. Encoding is necessary to enable automated processing and not just human interpretation of ideas and concepts in the context of structured documents, namely the content profiles using the HL7 Clinical Document Architecture or applications using DICOM objects. Some of the benefits of encoded information are:

• The organization of information mean for human interpretation (classification of document types and section headings, enable data filtering and exploitation, easier navigation to related information)

• Effective indexing and retrieval of information (specific types of records or data)

• Automated translation to a different human language for human presentation (6).


A doctor or a technologist in a healthcare facility will try to use some type of encoding for filling out the details of a report, or the final results of an interpretation. The technologist would need a standardized picklist to indicate the body part involved in the procedure. The physician would need a special officially standardized nomenclature so that when s/he sends the Discharge Summary across the country with the patient, the application of the attending physician at the other end would be able to interpret it and extract the useful information.


Because of a lack of an officially standardized Value Set to be used in encoding or because of its lack of update, most healthcare facilities revert to using textual information or internal coding, which results in a lack of semantic interoperability.


Distributing and an official Value Set from a Terminology Server would solve this problem, but is a challenging task. This would have to be done when a new system is installed, or when a system decides to upgrade its nomenclature. Charging a terminology off a disk can be a time-consuming action, not to mention it will have to be repeated each time an updated version becomes available.


Certain concepts in a Value Set used clinically will change, become obsolete, or there will be new ones added. Keeping an up-to-date terminology is important for the sake of interoperability. If an institution is using a different version of values then the one whom the document is sent to, potential medical errors might result.

Having a method of obtaining the latest Value Set for a specific clinical use will be very useful.

Key Use Case

'Use-Case 1: Needing an effective way to fill out a CCD document'

A patient is seen in a regional healthcare network A by a group of healthcare professionals - such as oncologists, general practitioners, laboratory practitioners, pharmacists, and nurses. All these HCP will want to capture relevant medical information required for the continuity of patient care. All these health care professionals need to use a common encoding terminology, for example they would all need to have access to a pick list containing the Value Set Concept "Bacillus Anthracis" from the Value Set "Microorganism", derived from the most recent version of the terminology SNOMED-CT (8). If the system used by the laboratory practitioners has access to this encoding term, but the application that the general practitioner uses does not, the applications will not be able to extract this information. The healthcare practitioner will be able to obtain this information by reading the narrative part of the document, but the information will be lost for further processing by the application.


'Use-Case 2: Needing Consistent Encoding Terms for anatomical regions in imaging'

In hospital A, an imaging technologist is about to start a procedure. S/he chooses its protocol and "guesses" what body part s/he should be entering in the “body part” field present on the machine since nothing was prefigured. The modality sometimes will over-ride the RIS information that the RIS administrator has configured, or at times it takes the existing RIS information, depending on the vendor and on the implementation. Also the information concerning body parts in one particular RIS might not be consistent with the encoding chosen by the RIS in hospital B, in another state. When the study is transmitted via XDS-I or even on a CD, and imported into the local system of the hospital B, the local PACS and RIS administrator need to manually reconcile this information with the one present in their system for the sake of comparison of reports, and also to ensure the same display (body parts do influence the hanging protocols for the radiologists).


Standards & Systems

The HL7 v3 Reference Information Model (RIM) version 2.14n, and the terminology models are interdependent. The HL7 v3 Data Types describe the structure and properties of the data types pertaining to the Value Set. The HL7 v3 RIM, Data Type definitions and the HL7 Vocabulary are all good parts of the standard to use.

The HL7 CTS version 1.2 - November 2004 (2) specifies the common functional characteristics that an external terminology must be able to provide and defines an Application Programming Interface (API) that can be used by HL7 version 3, software when accessing terminological content. The standard states that are two layers between the HL7 message processing applications and the target vocabularies. The standard can be downloaded on the site: http://informatics.mayo.edu/LexGrid/downloads/CTS/specification/ctsspec/cts.htm

The upper layer, the Message API, communicates with the messaging software, and it does so in terms of vocabulary domains, contexts, value sets, coded attributes, and other artifacts of the HL7 message model.

The lower layer, the Vocabulary API, communicates with the terminology service software, and does so in terms of code systems, concept codes, designations, relationships and other terminology specific entities.

The message API is specific to HL7. It allows to a wide variety of message processing applications to create, validate and translate CD-derived data types in a consistent and reproducible fashion.

The Vocabulary API intends to be generic. It allows applications to query different terminologies in a consistent, well-defined fashion. The Message API uses the Vocabulary API.

A list of valid concept codes is referred to as a value set. The key terms regarding this proposal are: • Common CTS Message Elements • Service Identification Section – common to both message runtime and browsing API • CTS Message Browsing API (such as looking up a vocabulary domain and looking up a value set).

The CTS 2 is addressing some interesting service issues that can be looked at in parallel with this profile.

Defintions (which will go into the Glossary) Vocabulary Domain is an abstract conceptual space such as "countries of the world", "the gender of a person used for administrative purposes". Each Vocabulary Domain has a unique name along with a description of the conceptual space that it represents. Before the values of an attribute can be used from this conceptual space, an actual list of concept codes needs actually to be defined.

Hence, a value set is ‘a collection of concepts drawn from one or more vocabulary code systems and grouped together for a specific purpose.’ (e.g: "Microorganism" value set derived from SNOMED-CT code system.) (8).

A value set also has Value Set Concepts, which is the name for an object or abstract idea that provides a pointer to the code system concept code and/or name. (e.g "Bacillus Anthracis" is a concept in the "Microorganism" value set derived from SNOMED-CT code system.)

A value set will also have an OID (Value Set OID - Unique Object Identifier for a Value Set). The metadata and the associations of a value set are presented in the table 1:


Prop6.JPG


A representation of a value set can be: • Value Set Name: Infectious Agent (Microorganism) • Value Set Code: PHVS_InfectiousAgent_CDC • Value Set OID: 2.16.840.1.114222.4.11.908 • Code System Name: SNOMED-CT • Code System Code: PH_SNOMED-CT • Code System OID: 2.16.840.1.113883.6.96

(source: Public Health Information Network)(4).

Since XDS.b is using Web Services, there might be a suggestion to be revised by the technical committee of using Web Services APIs, such as Java API for XML-based RPC (JAX-RPC) 1.1 which is an API for building and deploying SOAP+WSDL web services clients and endpoints.

Also Java APIs for XML Registries (JAXR) 1.0.4 can be used in accessing different kinds of XML registries. It provides you with a single set of APIs to access a variety of XML registries, including UDDI and the ebXML Registry without having to know the registry's information model (9).

Technical Approach

A similar approach as the ITI-XDS is adopted for the distribution of the terminologies, with focus on the ValueSets used in a common clinical setting.

The HL7 CTS message elements, the metadata of the value set and the association that it does make with the other components of the Vocabulary Domain must be investigated. Also the Service Identification Section and the Message Browsing API must be looked at so that we can see how it will exactly affect the transactions between the proposed authors. Also since XDS.b is using Web Services, it might be of interest to examine the use of Web Services API.

Ultimately, the aim would be to treat a whole code system, as complex as SNOMED, for example, and covering vocabulary domains, contexts, and relations between terminologies such as interface terminologies, including the “processing” terminologies for data mining - Natural Language Processing technologies. These will be treated separately in the White Paper "Sharing Terminologies".


Existing actors

Content creator/consumers

New actors

'ValueSet Repository'

Actor whose role is to store the brand new ValueSets that the ValueSet Source has sent and also of its different updates. It also has the responsibility to register the metadata of each new or updated ValueSet it receives from the ValueSet Source.


'ValueSet Registry'

An actor who keeps track of the metadata belonging to the ValueSets existing in the Value Set Repository. The metadata registered can be queried, namely on the: name, the OID and the Assigning Auth Version. Each new entry or an update in the ValueSet Repository will create an entry in the ValueSet Registry.


'ValueSet Consumer'

An actor who queries the ValueSet Registry for a specific new Value Set or for an updated one. It will then retrieve it from the ValueSet Repository. The ValueSet Consumer queries the ValueSet Registry, namely on the: name, the OID and the Assigning Auth Version so that it can update the latest version if needed.

The ValueSet Consumer will somehow interact with the Content Creator/Consumer (application, CT scanner) so that the later one can use the Value Sets required for encoding (either a brand new one or an updated one). This point of interaction between the Value Set Consumer and the application needing the values still has to be figured out.


Existing transactions

The actors would need to authenticate one to another and also be respectful of the consistent time profile (coupled with ATNA and CT transactions).


New transactions (standards used)

ValueSet = VS:

Three transactions are proposed:

[Register VS]

The Value Set Repository register the metadata associated with the Value Set it received from the Value Set Source - new or updated - with the Value Set Registry so that it will available for query by the Value Set Consumer.

[Query VS Registry]

(ValueSet Consumer asks Value Set Registry for a new list of the Value Sets available for uploading and access for the various versions of the applications using it). This interaction will also have to contain an adaptation so that it can support a query for the most up-to-date Value Set version for retrieval by the ValueSet Consumer.

[Retrieve VS]

(Value Set Consumer retrieves a new Value Set from the Value Set Repository). This interaction will also have to contain an adaptation so that it can support a query for the most up-to-date version of the Value Set existing in ValueSet Repository.


Two other transactions can give a more complete picture, but they are left to the discretion of the ITI Technical Committee, being also mentioned in the White Paper treating the subject on a larger scale.

[Provide & Register VS]

The Value Set Source provides a Value Set Value – new or an update - to the Value Set Repository).

[Notification VS] (optional)

Registry Value Set notifies VS Consumer that an update of the VS is available.

The transaction between the authors can be seen in the Figure 1 and 2, within the context of the white paper. However, only the interaction in pink will be dealt with:


Dia1.jpg


Fig. 1: Creating/updating a Value Set and consuming it by an application


The focus proposed is on the activity diagram:


Dia2.jpg


Fig. 2: Importinng a value set (whole value set or update from a value set)

Impact on existing integration profiles

Needs to be paired with profiles CT and ATNA. Will improve the efficiency of coding in the content profiles.

New integration profiles needed

ITI-ST (ITI Sharing Terminologies)

Breakdown of tasks that need to be accomplished

• Detailed description of the current situation in a clinical setting with regards to terminology use.

• Detailed description of what this profile will bring

• Brief description of the whole terminology model

• Characteristics of encoded data

• Implementer’s responsibilities

• Figure out the feasibility of the transactions

• Detailed description of the ValueSet and its characteristics – metadata, content, structure

• Determine which metadata is necessary for registering the Value Set and which metadata is needed for the update.

• Handling Value Set Changes

• Description of the use of obsolete values in the Value Set and how should the application handle them

• Detail the connection between the ValueSet Consumer and the Content Creator/Consumer

• What terminology services functions does this profile offer – name exchange, identifier translation, local information, track version changes (10)

• How will the mapping be done?

• Conformance testing on the Value Set once retrieved

• Create table of dependencies on other profiles

• Follow Context

• Trigger Events

• Message Semantics

• Expected Actions

• Security considerations

• What issues will be addressed not here but in the white paper?

Support & Resources

France is in the midst of installing at a national scale a PHR (Personal Health Record) and it willing to participate with national efforts in the Profile development. Researchers from the INSERM (The National Institute of Health and Medical Research), CNRS (National Center for Scientific Research), the GMSIH (A Public Interest Group in charge of the Modernization of the Healthcare Information Systems), and the Hospitals of Paris (AP-HP) containing more then 40 hospitals are willing to put efforts into this profile. Not to forget, the industry is also interested in participating, namely companies such as Thales, Mondeca, and DBmotion.

Risks

To be discussed.

Open Issues

• What is the connection between a Content Creator/Consumer and a Value Set Consumer? How does the clinical application (Content Creator/Consumer) obtain the new codes or updated values from the Value Set Consumer?

• Should there be a VS Registry Stored Query or just a Query VS Registry

• Should there be a notification mechanism when a new version is available or should the Value Set Consumer do a query?

Tech Cmte Evaluation

<The technical committee will use this area to record details of the effort estimation, etc.>

Effort Evaluation (as a % of Tech Cmte Bandwidth):

  • 35% for ...

Responses to Issues:

See italics in Risk and Open Issue sections

Candidate Editor:

TBA



References

1. Semantic Issues in Integrating Data from Different Models to Achieve Data Interoperability. Rahil Qamara, Alan Rectora. Medical Informatics Group, University of Manchester, Manchester, U.K. Consulted on line October 21, 2007, http://www.cs.man.ac.uk/~qamarr/papers/Medinfo_Paper_RQamar.pdf

2. HL7 Common Terminology Services. HL7® Version 3 Standard, © 2004 Health Level Seven®. Consulted on line October 21, 2007, http://informatics.mayo.edu/LexGrid/downloads/CTS/specification/ctsspec/cts.htm

3. United Stated Department of Health and Human Services. Office of the National Coordinator for Health Information Technology (ONC). Presidential Initiatives. Consulted on line October 22, 2007, http://www.hhs.gov/healthit/chiinitiative.html.

4. PHIN Vocabulary Access and Distribution System (VADS). Centre for Disease Control and Prevention. Frequently Asked Questions. Consulted on October 22, 2007. http://www.cdc.gov/PhinVSBrowser/html/static/Help_html/what_is.htm#q14

5. The Lexical Grid, Shared Terminology Resources. Consulted on line October 22, 2007, http://informatics.mayo.edu/LexGrid/index.php?page=aboutlg

6. pan-Canadian iEHR Standards. iEHR Terminology Overview. Version 1.3. October 23, 2006. Canada Health Infoway.

7. IHE Patient Care Coordination Technical Framework, Volume II (PCC TF-2), Integration Profiles, Revision 3.0, 2007-2008. Consulted on line October 22, 2007. http://www.ihe.net/Technical_Framework/upload/IHE_PCC_TF_Vol_2_TI_2007_08_15.pdf.

8. PHIN Vocabulary Access and Distribution System (VADS). Centre for Disease Control and Prevention. Frequently Asked Questions. Consulted on October 22, 2007. http://www.cdc.gov/PhinVSBrowser/html/static/Help_html/what_is.htm#q14

9. Service-Oriented Architecture (SOA) and Web Services: The Road to Enterprise Application Integration (EAI). Qusay H. Mahmoud, April 2005. Consulted on October 23, 2007. http://java.sun.com/developer/technicalArticles/WebServices/soa/

10. pan-Canadian iEHR Standards. Terminology Services. September 5, 2006. Canada Health Infoway.