The third Louhi one-day workshop is a multidisciplinary international workshop, bringing together researchers studying syntactic, semantic and pragmatic aspects of healthcare documents. Healthcare documents encompass, but are not limited to, electronic patient records, clinical documentation, discharge letters, care guidelines, scientific texts and other textual data related to biomedicine and healthcare.The Third Louhi Workshop follows Louhi’08, the First conference on Text and Data Mining of Health Documents in Turku, Finland, 2008, and Louhi '10 in Los Angeles, collocated with 11th NAACL conference. The workshop aims to gather representatives from clinical practice, research and IT industry
The program consists of
  • 10 presentations, and an
invited keynote by Mor Peleg, Co-chair AIME:
  • "Futuristic Usage of EHR Content by Clinical Guideline-based Decision-support Systems"

Louhi 2011 presents original research, case studies or work-in-progress within, or related to, the following areas:

Processing of clinical documents, including topics such as:
  • Classification and analysis of text content.
  • Mixed source documents, and combinations of text and encoded/structured information.
  • Discourse, dialogue, and pragmatics.
  • Information extraction.
  • Removal of sensitive and identifying information.
  • Information retrieval.
  • Knowledge acquisition.
  • Language generation.
  • Language resources, evaluation methods and metrics, science of annotation.
  • Use of  lexical, ontological, semantic resources.
  • Machine translation.
  • Statistical and and symbolic machine learning methods.
  • Summarization.
  • Sentiment analysis.
  • Automated coding and structuring.
  • Text mining.
  • Interactive and dialogue-based documentation and text production.
  • Referent tracking and management.
  • Textual entailment and paraphrasing.
  • Topic and text classification.
  • Word sense disambiguation.
Intelligent re-use of clinical documentation, including:
  • Clinical decision making and guidelines based on clinical documentation.
  • Automated reasoning and metareasoning using clinical documentation.
  • Use of clinical documentation within clinical trials, eScience; research-support information systems, workflow support.
  • Computer-Supported Cooperative Work and Human-Computer Interaction, as well as Information Visualization based on clinical documentation and EHR content.
  • Collaborative exchange of textual EHR information between provider and patient; between providers in different organisations; between different professions.
  • Personalized medicine based on clinical documentation.
Experience reports from practical applications of
  • text technology in clinical documentation systems
  • data mining in clinical documentation systems
We particulary welcome submissions from either academia or industry emphasizing multidisciplinary aspects of health documentation and the interplay between clinical professions, patient and provider, different organizations, and human-computer. We strongly encourage submissions reporting on work for minor languages, representing the diverse challenge that traits in different languages pose to common tasks.