Date: December 7, 2012
Author: Valerie Smothers
Author email: firstname.lastname@example.org
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13 Nov 2012
7 Dec 2012
Modified the outline
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The MedBiquitous Virtual Patient Standard provides a data structure that allows one to represent …. This structure then enables ….
This implementation guide provides general guidance for common implementations of the MedBiquitous Virtual Patient Standard version 1.0. Specific adaptations for your environment may be necessary.
A broad description of the purpose of the standard and who it is for (FAQ for all, rest more technical). Incorproate white paper form website?
Importance of MVP standard for sustainability (also covered in PPT but good to stress this)
Why bother adopting the spec?
How to write to the spec – i.e. Where to find the core information and greater details
How much extra work is it typically to do this for most implementers?
Where to find case studies on what others have done
How do you include multiple choice questions in a conformat virtual patient?
The best way to include multiple choice questions in a virtual patient is to use the extension capability of the VirtualPatientData file to include multiple choice question data represented using the IMS QTI specification. Different authoring tools handle multiple choice questions in different ways. If you plan to exchange cases with another organization, be sure to agree on the mechanism for representing multiple choice questions.
Explain Virtual Patient Data, Data Availability Model, Activity Model, and Media, along with how they interact with one another
concise but only semi-technical description (1 page max) of how the pieces fit together (the DAM etc) - this will be hard to do
Before implementing the MedBiquitous Virtual Patient Standard, analyze the context in which it will be used and determine:
Use the rest of this document to help you make decisions about your system and implement the standard in ways that support your goals.
The MVP XML schemas may be modified to support context-specific requirements and restrictions. For more information, see “Adapting the Schema to Meet your Requirements.”
Include demographics, medication lists, physical exam, diagnostic test results, interview question, differential diagnosis, interventions. Discuss benefits of using structured data and when that is useful.
Vocabularies enhance the analysis that can be done on aggregate curriculum data by providing clearly delineated terms from which users can select the terms most appropriate to describe a given characteristic of the curriculum. When users choose non-vocabulary terms, it can be difficult to identify trends and determine commonalities and inconsistencies. Suppose Institution A classifies a course using the MeSH term Quality Improvement, and Institution B classifies a similar course using the non-MeSH term Performance Improvement. Anyone compiling data using the term Quality Improvement will have an incomplete dataset because data from Institution B’s course will be omitted.
MedBiquitous recommends using agreed-upon vocabularies for the following elements:
The ability to show the learner data upon selection
The ability to show the learner data at a later point in the activity
The ability to show the learner data if they previously selected (ie ordered a test, prescribed a medication, etc).
Section based navigation
Creating a content path
Some features the MVP standard supports include:
Many implementers may wish to use the MVP Standard to exchange virtual patient activities in languages other than English. The standard is designed to support the exchange of activities in languages other than English.
The following elements have a required vocabulary in English:
The Virtual Patient Working group recommends specifying:
Organizations may decide to translate the recommended vocabularies referenced in the standard into other languages. See the section “Using Vocabularies” for more information on the specifics of using translated vocabularies.
What metadata is important to include to maximize discoverability of cases when stored in repositories or just generally online
What metadata helps with portability of cases between systems
NOTE: This section is adapted from the eViP Best Practice Guidelines for the eViP application profile and associated conformance metrics.
Virtual patient systems have varied underlying models and distinct features.
Allow the user to override an automatic export if the content is not foreseen by the MVP specification.
For important content for some systems that are not supported by the MVP
specification because of the complexity (e.g. QTI assessment items ), it may be
helpful to let the user decide whether the questions will be exported in the
XtensibleInfo and potentially ignored by the target systems or imported directly as
VPDText for a non-interactive display that need to be manually converted in the target
system. Such an option is available in, for example, the CASUS system.
• For optimal compatibility, both the sender and receiver VP systems should use the
same version of the MVP specification. In the MVP 0.48 , the use of Media elements directly in VPD items like
DiagnosticTest was allowed but this notation was deprecated in the MVP versions
higher than 0.48.
Recommendations for branched systems
• A straightforward import of a branched into linear or semi-linear model is difficult.
All the solutions investigated by the consortium during the implementation process
have led to the loss of information or have required human intervention. However, as
was demonstrated by the partners, achieving the third compliance level is feasible.
• Consider pre-processing of the activity node
One method of importing branched content into a (semi-)linear model is to take all
ActivityNodes and transform them using XSLT to one card. This includes also all
media resources grouped by DAM nodes referenced from the ActivityNodes. Next it
is the task of the author to redesign the content into a (semi-)linear structure.
• Consider transforming the activity model into a directed acyclic graph
The other possibility for converting a branched model into a (semi-)linear one is to
transform the activity model into a directed acyclic graph (DAG). This model enables
o Request of the start node
o Request of the end node(s) (list)
o Request of all previous nodes of a node (list or null if start node)
o Request of all next nodes of a node (list or null if end node)
o If available in the original system weightings can be included in the graph
The algorithm starts by importing a start node. The list of potential next nodes is
displayed in each imported card. The author can then decide about the order of cards.
Unused nodes can be imported as additional comments to the model or as feedback in
questions provided that the QTI feature is implemented.
• Assign weights to the edge between nodes prior to exporting a branched VP
If possible, it is recommended for the branched system to include in the export
function the weights (credit) assigned to the edges between nodes of the activity
model. This feature gives the possibility for importing systems to use algorithms for
finding the critical pathway through the graph that could aid the import process.
However there is no guarantee that the optimal path will reflect the intentions of the
original case, because a great deal of potentially interesting information that lies
outside the optimum path may be omitted.
• Provide a graphical model of the VP
If possible, it is recommended for the branched system to export a graphical model of
the case to support the orientation while repurposing the case in the target system with
a different system model. Fig. 1 presents an exemplary map created with the VUE tool
 for a VP (case evip:vp:1000007) from the OpenLabyrinth system.
Recommendations for (semi-)linear systems
• For systems with a (semi-)linear structure and no specialisation of cards in the data
model it seems to be a more pragmatic solution to export all content as VPDText
nodes rather than manually assign the cards to particular classes of VPD data (like
Diagnosis, Physical Exam or Intervention). However, if there is a way to map the data
elements to a specialised tag this method is encouraged.
2.4 Recommendations for terminology-based systems
• In terminology-based systems (e.g. CAMPUS), it is impossible to import unstructured
text (like that from VPDText) into a highly structured database model. For those
systems, often the only possibility for an import is to store the data externally and
develop a new MVP/eViP player (as it was done in the case of CAMPUS) that is
integrated with the legacy system.
• While exporting data from terminology-based systems, their implementers may face
the problem of losing some parts of case related data due to the less structured Virtual
Patient Data model in the MVP specification. In those cases, either exporting the
content as VPDText or the use of the XtensibleInfo elements is recommended,
containing any data that is too specific for general use. For the second option it is
recommended to define a separate namespace and a corresponding schema file.
External systems may take advantage of this data if they implement this particular
kind of extension. The remaining tools will automatically ignore the XtensibleInfo
In order to validate Curriculum Inventory XML documents, you may wish to store all of the associated schemas on a local server and reference those local copies for validation. To use local copies, the schema locations of the following schemas must be changed within the curriculuminventory.xsd schema document.
Change the schemaLocation attribute of the import element to change the location used for validation. The following example shows import statements that have been changed to use local versions of the schemas. In this example, the xsd files are all in the same directory as the curriculuminventory.xsd file. The schemaLocation attribute may use relative referencing, so the example schemaLocation references the file name since the file is in the same directory.
<xsd:import namespace="http://ns.medbiq.org/member/v1/" schemaLocation="member.xsd"/>
<xsd:import namespace="http://ns.medbiq.org/competencyobject/v1/" schemaLocation="competencyobject.xsd"/>
<xsd:import namespace="http://ns.medbiq.org/lom/extend/v1/" schemaLocation="healthcaremetadata.xsd"/>
<xsd:import namespace="http://ltsc.ieee.org/xsd/LOM" schemaLocation="healthcarelom.xsd"/>
<xsd:import namespace="http://ns.medbiq.org/competencyframework/v1/" schemaLocation="competencyframework.xsd"/>
<xsd:import namespace="http://ns.medbiq.org/lom/vocab/v1/" schemaLocation="healthcarevocabularies.xsd"/>
Curriculum Inventory instance documents may then reference the local copy of the curriculuminventory.xsd schema in the schemaLocation attribute of the root element as in the example below. In this example, the curriculuminventory.xsd schema is in the same directory as the instance document.
<CurriculumInventory xsi:schemaLocation="http://ns.medbiq.org/curriculuminventory/v1/ curriculuminventory.xsd" xmlns="http://ns.medbiq.org/curriculuminventory/v1/" xmlns:lom="http://ltsc.ieee.org/xsd/LOM" xmlns:a="http://ns.medbiq.org/address/v1/" xmlns:cf="http://ns.medbiq.org/competencyframework/v1/" xmlns:co="http://ns.medbiq.org/competencyobject/v1/" xmlns:hx="http://ns.medbiq.org/lom/extend/v1/" xmlns:m="http://ns.medbiq.org/member/v1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
Please note that changing the location of the schemas used for validation does not affect the conformance status of Professional Profile instance document.
Describe the various VPD schemas and imported schemas. what schemas must be declared and where.
provide example XML showing those declarations and assigned prefixes.
Organizations implementing the MedBiquitous Virtual Patient may wish to further restrict the scope of data considered valid or add new data not addressed in the standard. The schemas are designed to support either of these scenarios.
Add info about Alternative Path in DAM
EDIT The Curriculum Inventory schema allows for elements from other namespaces to be included under the root element. Use the steps that follow to extend the Curriculum Inventory schema to incorporate new data.
<?xml version="1.0" encoding="UTF-8"?>
<xs:schema targetNamespace="http://ns.myurl.com/curriculumdean/" xmlns="http://ns.myurl.com/curriculumdean/" xmlns:xs="http://www.w3.org/2001/XMLSchema" elementFormDefault="qualified" attributeFormDefault="unqualified">
<xs:element name="CurriculumDean" type="xs:string"/>
In the example below, the prefix cd is declared for the http://ns.myurl.com/curriculumdean/ namespace within the CurriculumInventory root element. The cd prefix is then used to label the CurriculumDean element before the closing CurriculumInventory tag.
The specification correctly makes no assumption about the underlying storage mechanism. However all the systems I know of seem to use SQL Databases. Translating the data from the specified xml structures into a working relational structure and back again is something of a challenge. The advent of NoSQL databases doesn’t really help this, because traversal between the structures is complex. The original assumption seems to have been that implementers would work directly from the xml files, but traversal is still complex.
ANSI/MEDBIQ LO.10.1-2008, Healthcare Learning Object Metadata (Healthcare LOM). MedBiquitous Website. http://www.medbiq.org/std_specs/standards/index.html#HCLOM. Accessed June 1, 2011.
To ensure clarity and consistency, we provide working definitions of the terminology we use in these guidelines.