Browsing by Subject "Clinical Decision Support"

Now showing 1 - 4 of 4
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    Enhancing research on a clinical decision support and geographic information system: getting involved as informationists
    (Midwest Chapter, Medical Library Association, 2013-10-07) Whipple, Elizabeth C.; Ralston, Rick K.; Odell, Jere D.; Zimmerman, Carly; Liu, Gilbert C.
    In 2012, the National Library of Medicine (NLM) funded its first ever administrative supplement for informationists. The purpose of these grants is to enhance multidisciplinary basic and clinical research by integrating information specialists (informationists) on research teams in order to improve the capture, organization, and management of biomedical research data. Three informationists at the Indiana University School of Medicine were awarded one of these supplements to work on the Child Health Improvement through Computer Automation (CHICA) system. CHICA is a computer decision support system that interfaces with existing electronic medical record systems (EMRS) and delivers "just in time" patient-relevant guidelines to physicians during the clinical encounter. CHICA-GIS integrates a geographic information system (GIS) with CHICA to refer pediatricians and parents to relevant health services (as needed, for physical activity, dental care, or tutoring) near the patient's neighborhood. The informationists are enhancing the CHICA-GIS system by: improving the accuracy and accessibility of information, managing and mapping the knowledge which undergirds the CHICA-GIS decision support tool, supporting community engagement and consumer health information outreach, and facilitating the dissemination of new CHICA-GIS research results and services. This paper describes the initial process for approaching and collaborating with researchers, writing the grant and getting funded, and progress on the project goals to date.
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    Getting off obesity island: how informationists can enhance clinical decision support
    (Medical Library Association, 2014-05-19) Odell, Jere D.; Ralston, Rick K.; Whipple, Elizabeth C.
    Clinical decision support (CDS) will play a key role in improving the health of patients; informationists can support the development of CDS systems by indexing rule libraries and mapping the system logic. This work can help rule developers make more informed choices and understand how rules are related conceptually and operationally. With a map, rules can be written to bridge isolated concepts (islands) and rules that are no longer needed can be weeded. Here we explore the added value that informationists bring to projects by reporting on the role of informationists working on a pediatric CDS.
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    Mapping the rules: conceptual and logical relationships in a system for pediatric clinical decision support
    (2013-10-07) Ralston, Rick K.; Odell, Jere D.; Whipple, Elizabeth C.; Liu, Gilbert C.
    The Child Health Improvement through Computer Automation (CHICA) system uses evidence-based guidelines and information collected in the clinic and stored in an electronic medical record (EMR) to inform physician and patient decision making. CHICA helps physicians to identify and select relevant screenings and also provides personalized, just-in-time information for patients. This system relies on a database of Medical Logic Modules (MLMS) written in the Arden Rules syntax. These MLMs store observations (StorObs) during the clinical encounter which trigger potential screenings and preventive health interventions for discussion with the patient or for follow up at the next visit. This poster shows how informationists worked with the CHICA team to describe the MLMs using standard vocabularies, including Medical Subject Headings (MeSH) and Logical Observation Identifiers Names and Codes (LOINC). After assigning keywords to the database of MLMs, the informationists used visualization tools to generate maps. These maps show how rules are related by logic (shared StorObs) and by concept (shared vocabulary). The CHICA team will use these maps to identify gaps in the clinical decision support database and (if needed) to develop rules which bridge related but currently isolated concepts.
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    The role of informationists in delivering geospatial intelligence to health care professionals
    (National Network of Libraries of Medicine, 2013-10-11) Ralston, Rick K.; Whipple, Elizabeth C.; Odell, Jere D.; Liu, Gilbert C.
    Three informationists at the Indiana University School of Medicine were awarded NLM supplement to work on the Child Health Improvement through Computer Automation (CHICA) system. CHICA is a computer decision support system that interfaces with existing electronic medical record systems (EMRS) and delivers "just in time" patient-relevant guidelines to physicians during the clinical encounter. CHICA-GIS integrates a geographic information system (GIS) with CHICA to refer pediatricians and parents to relevant health services (as needed, for physical activity, dental care, or tutoring) near the patient's neighborhood. The informationists are enhancing the CHICA-GIS system by: improving the accuracy and accessibility of information, managing and mapping the knowledge which undergirds the CHICA-GIS decision support tool, supporting community engagement and consumer health information outreach, and facilitating the dissemination of new CHICA-GIS research results and services. This presentation describes the initial process for approaching and collaborating with researchers, writing the grant and getting funded, and progress on the project goals to date.