Task 1 - Information Visualisation

Task 1: Visual-Interactive Search and Exploration of eHealth Data

The overall problem of this task is to help patients (or their next-of-kin) to better understand their health information.


The CLEFeHealth2013 tasks 1-3 (overviewparticipant working notes) developed and evaluated automated approaches for discharge summaries:

1. terminology standardisation for medical disorders (e.g., heartburn as opposed to gastroesophageal reflux disease),

2. shorthand expansion (e.g., heartburn as opposed to GERD), and

3. text linkage with further information available on the Internet (e.g., care guidelines for heartburn).


With the 2014 Task 1, we challenge participants to design interactive visualisations that help patients better understand their discharge summaries and explore additional relevant documents in light of a large document corpus and their various facets in context.


As a scenario, assume an English-speaking, discharged patient (or her next of kin) is in her home in the USA who  wants to learn about the clinical treatment history and implications for future behavior, possible symptoms or developments, and situational awareness related to their own health and healthcare in general. That is, targeted users are layperson patients (as opposed to clinical experts).


We ask participants to design an interactive visual representation of the discharge summary and potentially relevant documents available on the Internet. The goal of this tool will be to provide an effective, usable, and trustworthy environment for navigating,  exploring, and interpreting both the discharge summary and the Internet documents,  as needed to promote understanding and informed decision-making.


We assume a standard application environment is given, including a networked desktop system and mobile device (e.g., smartphone or tablet). The challenge is structured into two different but connected Tasks (1a and 1b) which participants can chose to work on separately, or address together in an integrated Task (grand challenge).


The input data provided to participants consists of six carefully chosen cases from our 2013 challenge. Using the first case is mandatory for all participants and the other five cases are optional. Each case includes a discharge summary, including the disorder spans marked and mapped to SNOMED-CT (Systematized Nomenclature of Medicine Clinical Terms, Concept Unique Identifiers), and the shorthand spans marked and mapped to the UMLS (Unified Medical Language System). Each discharge summary is also associated with a profile (e.g., “A forty year old woman, who seeks information about her condition” for the mandatory case) to describe the patient, a narrative to describe her information need (e.g., “description of what type of disease hypothyreoidism is”), a query to address this information need by searching the Internet documents, and the list of the documents that were judged as relevant to the query. Each query consists of a description (e.g., “What is hypothyreoidism”) and title (e.g., “Hypothyreoidism”).


Solutions should provide a prototype that demonstrates the effectiveness of the proposed solutions. Although functioning prototypes are preferred, paper, mock screenshots or other low-fidelity prototypes are also acceptable.


The subpages of this page define the problems and outline requirements and evaluation criteria for this task in more detail.