We develop natural language processing techniques and methods to extract information, detect health risks, improve patient care and support scientific progress.
Healthcare is a document intensive industry. Critical information lies in a multitude of patient records, clinical guidelines, clinical trials, medical research and publications. In our research in Europe we focus on primarily on identifying medical concepts and facts, and identifying attributes and connections among these facts.
Concept identification allows for semantic-based normalization of extracted information, using standard medical ontologies/terminologies, and helps deal with the heterogeneity of medical texts across document types (e.g. patient records versus clinical guidelines) and across document sources (healthcare providers, academic medical departments, government health organizations, etc.).
Detecting facts along with their attributes and connections, in turn, allows for better generalization in information retrieval, information extraction and data mining. It enables the production of structured information relevant to various use cases and applications, e.g.:
- Risk assessment and early detection of risks that can impact patient safety, e.g. hospital-acquired infections (HAIs). Watch the video.
- Semi-automatic filling of hospital registries and clinical databases for clinical research or administrative purposes
- Chronology extraction from patient records to help improve clinical care process. See the Eureca project.
- Mining medical research publications to detect paradigm shifts and help in the update of clinical guidelines
- Coding of medical acts, and diagnostic coding ensure hospital access the funding they need to keep up care quality.
- Patients opinion mining from online channels, such as forums
- Detection of potential adverse drug reactions from social media sources.
- Anonymization of medical reports, enabling wider clinical research or ensuring data security.
Information is also pervasive in the form of knowledge, infused in physicians experience and tacit expertise. The ways physicians acquire, preserve, and transmit this knowledge is highly important as a pillar of care quality.
For example, we work with medical simulation centers, whose objective is to help physicians performing better in a team, or under stressful situations. We leverage our work ethnography expertise to ensure that time spent on these simulation is exploited to be as fruitful as possible, for the physicians and for the provider organization.
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- Medicine leans on natural language technology to advance science and improve patient care
- New EURECA project aims to build IT solutions for better patient care
- Seminar: 'Medical information analysis and retrieval', Henning Müller, Univ. of Applied Sciences, Sierre, Switzerland & University Hospitals of Geneva. Thursday March 3rd, 11am.
- Medical Researchers Tap Xerox “Text Mining” Tool to Curb Hospital-Acquired Infections ; Xerox Press Release
- Our Research