Clinical Data modelling

Number of Days: 1 day, 09:30 to 17:30. Lunch is included. Your instructor is available during lunch and from 17:30-18:00 for informal discussions about your specific area of interest or applications.

Dates:

This training has not been scheduled this year; it is only provided upon request. Additional Information/Registration: Call +31 318 589 789, or e-mail us at Training@ringholm.com.

This training is also available on-site upon request.

Additional Information: Call +31 318 589 789, or e-mail us at Training@Ringholm.com.

Number of Attendees per Class: Max 25.

Summary of course content: There are multiple standardization approaches to clinical data modelling – which does lead to the question which approach is the most suitable one for a given set of requirements. You may be aware of the details of one of these standards - and yet, what about the alternatives? And how should one combine the best features of one standard with those of another one?
This 1-day training course aims to answer these questions: it provides an overview and comparison of the major standardization efforts in this area (13606 EHRCom, OpenEHR and HL7 CDA), as well as related activities (e.g. templates, DCMs, LRA). The relationship with messaging (HL7 v2/v3) will also be shown.

Who Should Attend: This training course is aimed at those who need to determine a policy towards use of these standards. This includes those that aim to use one of the existing clinical data modelling as the basis for a project (local or nationwide). Examples include: health information architects and analysts, clinicians with an affinity for healthcare informatics, and project managers.

Goals of the training course: Upon completion of this training course, attendees will be able to:

• explain the key characteristics of various approaches to clinical data modelling,
• describe the commonalities and differences, as well as the underlying reasons for such differences, between the various standardization approaches, and
• determine what standards merit additional study given a specific set of requirements.

Prerequisites: general familiarity with clinical processes and clinical terms; knowledge of data modelling (e.g. object oriented principles, UML, XML). General knowledge of terminologies such as ICD or SNOMED-CT.

Agenda:

1. Generic principles of EHR architectures: (30 minutes)
   • Necessity for an architectural approach for clinical data; the history and interrelationships of current approaches.
   • Principles of conceptual and logical modelling and implementation of such models.
   • The relationship between EHRs (modeling clinical records) and messaging (modeling interoperability/exchange)
2. Approaches to EHR Architectures: (3 hours)
   • Generic aspects of clinical data modelling, DCMs, repositories. Introduction of one example (Glasgow Coma Scale) used throughout these series of presentations.
   • 13606 EHRCom and openEHR (inclusive of archetypes and templates) and tooling demo (CKM).
   • CDA (inclusive of clinical statements and templates) and tooling demo.
3. Exercise: (45 minutes)
   • Exercise related to the use of the above architectures
4. Deployment: (1 hour 15 minutes)
   • Relevance of these standards to a national policy drive
   • Combining openEHR, CDA and HL7 v2/v3 messaging
   • Example: IHE profiles, XDS based architectures.
   • Example: The Swedish 13606/openEHR approach.
   • Example: The NHS Logical Record Architecture (LRA) and Interoperability Toolkit (ITK).
5. Recommendations: (30 minutes)
   • A comparison: which standardization approach is most suitable for a specific type of project and context.

Course Materials: Ringholm will provide each participant with handouts containing all materials covered in the training as well as other support materials.

Faculty: William Goossen, Rene Spronk (and/or other tutors, depending on the location and language of the training course).