The aim of the training program is to develop academic, agency and industrial researchers who have the skills to address fundamental issues in the synthesis, organization and management of health data, information, knowledge and decision making. The program provides advanced training in applied informatics with an academic curriculum for biomedical scientists, health professionals, health librarians and health administrators. The training program is designed to enhance research studies in the area of biomedical knowledge management, clinical concept representation and computational biology, with research clusters dedicated to different dimensions of informatics. The research clusters address fundamental and significant problems in the areas of clinical practice systems, population based research, bioinformatics and clinical concept representation. These investigational domains provide trainees with a mentored research experience that stresses development and evaluation of systems for information processing and management, to support biomedical and health sciences research, health professional education, clinical practice settings, information resource management and dissemination, and organizational administration. The research activities are augmented with graduate program offerings in Health Informatics, associated with its partners in biological, computer, management and information sciences. A general seminar series, teleconferenced discussion sessions, and scheduled trainee meetings provide communication and collaboration between trainees, faculty and mentors, along with associated communities of research investigators, practitioners and graduate students.

National Institute of Health (NIH)
National Library of Medicine (NLM)
Continuing Education Training Grants (T15)
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Study Section
Special Emphasis Panel (ZLM1-MMR-T (J2))
Program Officer
Florance, Valerie
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University of Minnesota Twin Cities
Schools of Medicine
United States
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Pakhomov, Serguei V S; Pedersen, Ted; McInnes, Bridget et al. (2011) Towards a framework for developing semantic relatedness reference standards. J Biomed Inform 44:251-65
Cady, Rhonda; Finkelstein, Stanley; Lindgren, Bruce et al. (2010) Exploring the translational impact of a home telemonitoring intervention using time-motion study. Telemed J E Health 16:576-84
Yoon, Hojung J; Yoon, Hojung Joseph; Guo, Hongfei et al. (2008) Adherence to home-monitoring and its impact on survival in post-lung transplantation patients. AMIA Annu Symp Proc :835-8
Pakhomov, Serguei; Weston, Susan A; Jacobsen, Steven J et al. (2007) Electronic medical records for clinical research: application to the identification of heart failure. Am J Manag Care 13:281-8
Adam, Terrence J; Finkelstein, Stanley M; Parente, Stephen T et al. (2007) Cost analysis of home monitoring in lung transplant recipients. Int J Technol Assess Health Care 23:216-22
Pedersen, Ted; Pakhomov, Serguei V S; Patwardhan, Siddharth et al. (2007) Measures of semantic similarity and relatedness in the biomedical domain. J Biomed Inform 40:288-99
Pakhomov, Sergeui; Chute, Christopher G (2006) A hybrid approach to determining modification of clinical diagnoses. AMIA Annu Symp Proc :609-13
Joshi, Mahesh; Pakhomov, Serguei; Pedersen, Ted et al. (2006) A comparative study of supervised learning as applied to acronym expansion in clinical reports. AMIA Annu Symp Proc :399-403
Pakhomov, Serguei V; Coden, Anni; Chute, Christopher G (2006) Developing a corpus of clinical notes manually annotated for part-of-speech. Int J Med Inform 75:418-29
Gordon, Bradley D; Asplin, Brent R (2004) Using online analytical processing to manage emergency department operations. Acad Emerg Med 11:1206-12

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