Task 1a: Discharge Resolution Challenge

The goal is to visualise a given discharge summary together with the disorder standardisation and shorthand expansion data in an effective and understandable way for laypeople. An interactive visualisation is to be designed based on the input discharge summary, including the disorder spans marked and mapped to SNOMED-CT, and the shorthand spans marked and mapped to the UMLS. The design should allow the patient (or his/her next of kin) to perceive the original document together with the appropriate processing (i.e., disorder standardisation and shorthand expansion), thereby conveying an informative display of the discharge summary information. Solutions should include visualisations of the space of processed terms, including their location in the SNOMED-CT/UMLS terminologies. Appropriate interaction methods, including linked navigation and detail on demand, should

1.    support navigating the original discharge summary processed terms, and

2.    foster  the understanding of the record and the trust of the users in the presented information.

Although side-by-side linked views of the original discharge summary and the space of processed terms could make up for an effective visualisation, participants are encouraged to explore additional views and presentations, including presentation of similarity between terms, identification of multiple abbreviations for a given term, and semantic relationships between abbreviated and non-abbreviated terms. 


Task 1b: Visual Exploration Challenge

Given that discharge summaries have been understood by the patients, the goal then is to explore a space of relevant documents from a large corpus of documents. As a scenario, we assume a forty year old woman, who seeks information about her condition of hypothyreoidism. She wants to find a document that describes what type of disease hypothyreoidism is by using the query:“What is hypothyreoidism?” We assume that a search engine is given and this engine can retrieve and rank the large collection of documents from the Internet. Each document consists of text and possibly also images and links to other documents. Given this scenario, the goal is to design a visual exploration approach that will provide an effective overview over a larger set of possibly relevant documents to meet the patient’s information need. The successful design should include appropriate aggregation of result documents according to categories relevant to the documents, and/or by applying automatic clustering techniques that help to understand the distribution of relevant aspects in the answer set.  Basic solutions should support the visual interactive exploration of the top 3-20 relevant documents. However, participants are encouraged to also consider larger result sets in their solutions, supported e.g., by means of visual document navigation or aggregation by appropriate visualisation approaches. To that end, the system should include interactive facilities to efficiently change the level of detail by which results are shown and to navigate in the potentially very large space of search results, possibly using concept and/or document hierarchies.


Grand Challenge: Integrating 1a and 1b

We encourage interested participants to work on an integrated solution which addresses both Task 1a and 1b in an integrated approach. A key aspect of an effective integrated solution is the possibility to navigate seamlessly between individual concepts from the discharge summary and explore relevant Internet documents from the perspective of the concepts identified in the reports, by ad-hoc querying for concepts found both in the discharge summary and the currently viewed Internet documents. To that end, participants may (but do not have to) implement their own term expansion and document retrieval algorithms, or reuse results from the 2013 challenge. Ideally, solutions will provide full interactive support for term expansion and document retrieval, possibly also considering uncertainties of the automatic expansion algorithm (if applicable) or user-adaptive functions that assess the relevance of documents.  Integrated solutions should also consider the inclusion of external information sources into the exploration process by appropriate navigation and search functionality. Possible sources may include but are not limited to Wikipedia, Flickr, and Youtube.