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Communications Engineering Branch

The Communications Engineering Branch (CEB) is part of the Lister Hill National Center for Biomedical Communications, an intramural R&D division of the U.S. National Library of Medicine. Our mission is to conduct research and development directed toward mission-critical tasks at NLM and NIH, such as cancer research, document delivery, digital preservation, and automated ways of building resources such as MEDLINE.® All software products developed by our researchers are freely available.

Projects

  • ""

    Multiple projects in this area continue to promote the development, enhancement, and adoption of clinical vocabulary standards. Inter-terminology mapping promotes the use of standard terminologies by creating maps to administrative terminologies, which allows re-use of encoded clinical data.

  • chest x-ray image

    We are collaborating with AMPATH (Academic Model Providing Access to Healthcare), an organization supported by USAID that runs the largest AIDS treatment program in the world. This project uses LHNCBC’s imaging research and system development to fulfill NIH global health policy objectives. Our objective is to leverage in-house expertise in image processing to screen HIV-positive patients in rural Kenya for evidence of pulmonary tuberculosis (TB) in chest x-rays.

  • ""

    The consumer health question answering project was launched to support NLM customer services that receive about 90,000 requests a year from a world-wide pool of customers.

  • Discoveries from Clinical Data small image waveform

    Large database collections of clinical data -- from longitudinal research projects, electronic medical records, and health information exchanges -- provide opportunities to examine controversial findings from smaller scale clinical studies and to conduct retrospective epidemiological studies in areas that lack clinical trials.

  • Screenshot of the Boundary Marking Tool created for cancer research.

    The goal of our work in Biomedical Imaging is two-fold: One, to develop advanced imaging tools for biomedical research in partnership with the National Cancer Institute and other organizations. Secondly, to conduct research in Content Based Image Retrieval (CBIR) to index and retrieve medical images by image features (e.g., shape, color and texture), augmented by textual features as well.

  • This system automatically augments a patient's Electronic Health Record (EHR) with pertinent information from NLM resources. The software runs as background agents, both at a hospital and at NLM. The hospital uses our APIs to integrate the search setup and to display and store results in their existing EHR system.

  • To improve malaria diagnostics, we are developing a fully-automated system for parasite detection and counting in blood films in collaboration with NIH’s National Institute of Allergy and Infectious Diseases (NIAID) and Mahidol-Oxford University.

  • OpenI logo

    The Open-ism (pronounced “open eye”) experimental multimedia search engine retrieves and displays structured MEDLINE citations augmented by image-related text and concepts and linked to images based on image features.

  • RIDeM provides access to key fact needed to support clinical decision making.