This application presents a career development plan in the field of Medical Informatics, spanning clinical trials, computer science and medicine. The long-term objective of this submission is to launch an independent research program aimed at identifying models of organizing and structuring generic data items for computerized measurements of clinical research data. The overall goal of this research is to help standardize clinical trials data, thereby improving patient-oriented research and increasing the translation of research into clinical practice. After completing clinical training in preventive medicine, the candidate participated in a two-year postdoctoral fellowship in Medical Informatics. During this time, the candidate gained experience and expertise in computer science and clinical computing research issues such as clinical database development and design. As of July 1, 2000, the candidate will become an Assistant Professor in the YCMI. This career award will provide invaluable support for the candidate to continue to develop expertise in relevant areas of computer science and patient-oriented health services research, and to achieve the immediate goal of scientific independence as a junior faculty member. An outstanding group of mentors and advisors have been assembled who will provide guidance with respect to the direction of the candidate's research and long-term career goals, and provide advice and counsel on the ethical conduct of research. The career development plan includes additional training to include coursework and intensive workshops in the areas of computer science, investigative medicine, and advanced health services research. The research plan presented below involves: 1) building advanced informatics tools for searching and organizing the internal data dictionary of a clinical research database (Trial/DB) and integrating standardized clinical vocabularies into Trial/DB; 2) developing models that allow related data items to be maintained in organized ways, thus promoting future collaboration and sharing; and 3) collaborating with clinical investigators currently using Trial/DB to test, refine, and improve the tools and models developed above in the context of ongoing or new studies.
| Brandt, Cynthia A; Argraves, Stephanie; Money, Roy et al. (2006) Informatics tools to improve clinical research study implementation. Contemp Clin Trials 27:112-22 |
| Dinu, Valentin; Nadkarni, Prakash; Brandt, Cynthia (2006) Pivoting approaches for bulk extraction of Entity-Attribute-Value data. Comput Methods Programs Biomed 82:38-43 |
| Nadkarni, P M; Brandt, C A (2006) The Common Data Elements for cancer research: remarks on functions and structure. Methods Inf Med 45:594-601 |
| Brandt, Cynthia A; Gadagkar, Rohit; Rodriguez, Cesar et al. (2004) Managing complex change in clinical study metadata. J Am Med Inform Assoc 11:380-91 |
| Brandt, C A; Sun, K; Charpentier, P et al. (2004) Integration of Web-based and PC-based clinical research databases. Methods Inf Med 43:287-95 |
| Brandt, C A; Cohen, D B; Shifman, M A et al. (2004) Approaches and informatics tools to assist in the integration of similar clinical research questionnaires. Methods Inf Med 43:156-62 |
| Brandt, Cynthia A; Morse, Richard; Matthews, Keri et al. (2002) Metadata-driven creation of data marts from an EAV-modeled clinical research database. Int J Med Inform 65:225-41 |
