1. A Multiple-Ontology Template-Based Query Interface for a Clinical Guidelines Search Engine
Robert Moskovitch, Talie Lavie, Akiva Leibowitz, Yaron Denekamp and Yuval Shahar
Medical Informatics Research Center Department of Information Systems Engineering Ben Gurion University, Beer Sheva, Israel

2. Vaidurya – a Search Engine For Multiple- Ontology Clinical Practice Guidelines
CPGs are indexed as Source Guidelines (SGLs) and as structured, Marked-Up Guidelines (MGLs)
MGLs may be represented in different ontologies ( Asbru, GEM,. )
CPGs are classified along seven semantic conceptual axes in the DeGeL digital guidelines library

3. Example: Markup of a Guideline’s Text Using a Guideline Ontology
Entry Conditions
Target Population
Pregnant women at high risk for gestational diabetes
objectives
Outcome
Process
The main goal is reduction of fasting blood glucose level…
The guideline uses mainly dietary measures…
Plan …
If a need for insulin develops, use a guideline for using short-acting insulin…

4. Semantic Classification and Concept-Based Search
In DeGeL there are seven semantic axes (or aspects) that can categorize CGPs (e.g., diagnosis type, therapy type)
Each axis is implemented as a tree
Each Guideline can be classified under zero, one, or more indices from each semantic, conceptual axis

5. The Vaidurya Query Interface
Concepts
Queried
Concepts
Queried Ontology Elements
Ontology Elements

6. Vaidurya Results Viewer
Categorized Results
Ontology Elements
Retrieved CPGs

7. The Vaidurya Customizable Query Interface (VCQI)
The current interface is overloaded
Different users have different information needs, different familiarity with DeGeL and CPGs ontologies, and different levels of clinical knowledge.
The VCQI offers a customizable interface, in which a super user specifies a sub collection of the requested ontology elements and semantic indices, to answer a general information need
The user searching through a VCQI instantiates with particular terms a generic search frame

8. Simple Search Using the VCQI

9. Advanced Full-Ontology Search in the VCQI

10. A Customized VCQI example

11. The Vaidurya Template-Based Query Interface (TBQI)
A preliminary VCQI evaluation was encouraging, but it pointed out that the user still needs to be familiar with CPG ontologies
A more abstract interface is required.
The Vaidurya Template Based Query Interface (TBQI) offers an approach that overcomes the need for familiarity with CPG ontologies
The TBQI presents a template interface presented as a more clinical, task-oriented description of the information need, which has to be completed using combo boxes, text boxes, or check boxes.
The searcher’s choices are converted into a series of formal Vaidurya queries in the background

12. The Vaidurya TBQI designer

13. A COPD Domain Query in TBQI

14. Summary
Vaidurya offers concept-based & context-sensitive search methods shown in a rigorous evaluation to significantly outperform the Full Text search.
The original DeGeL interface presents an overloaded interface, which requires familiarity with CPG ontologies and concept hierarchies.
The VCQI presents a reduced-load query interface, including elements which are derived from the information need and the user level of clinical and CPG knowledge

15. Summary
The TBQI suggests an interface, in a story format, which describes the information need in the user’s terms
The user mostly needs to choose only from a combo box / text box / check box.
Choosing from a set of given options is easier and overcomes the need for familiarity with CPG ontologies and with the concept hierarchies
Preliminary reactions to the TBQI are favorable; we are planning to perform a more formal evaluation