Research plan: The use of clinical knowledge systems such as UpToDate that provide reliable information at the point of care has been shown to improve patient safety and decision-making. However, because of the overabundance of clinical resources and guidelines, adding new content to UpToDate and ensuring that it is consistent with evidence is time consuming. This career grant proposes to investigate the feasibility of using a novel text mining based informatics approach to semi-automate the management of a clinical knowledge system, using UpToDate as the test bed. Although the methods will be applicable to any clinical knowledge system and any topic, they will be evaluated using two important test topics from cardiology – congestive heart failure and atrial fibrillation. While the existing content of UpToDate is private, the methods and the code we develop to assist in generating the content will be released open-source as part of the Open Health Natural Language Processing (OHNLP) consortium in UIMA framework. Career plan: As most communication of information in clinical practice and biomedical research occurs through the medium of text, the development of methods to render this text computer-interpretable is a prerequisite to the use of this information to improve quality of care and support scientific discovery. The PI’s long-term career goal is to become a leader in biomedical informatics (informatics applied to biomedical data), with focus on textual data such as scientific papers and clinical notes. He has BS in Computer Science, PhD in Biomedical Informatics and over a dozen of peer-reviewed publications in biomedical text mining. His career goal is to advance diverse methods and applications of text mining across biomedical informatics (BMI). He will focus on: a) discovering information needs and gaps that can be filled, b) adapting and extending existing text mining algorithms, and c) validating the utility of the applications in the biomedical environment. Rationale: Making the transition from a mentored researcher to an independent researcher requires three main facets of career growth: a) developing a working familiarity with clinical information systems and medical terminologies; b) understanding the information needs of clinicians; and c) training in clinical research. The proposal began to translate the PI’s knowledge of the text mining methods to practical experience in an operation clinical environment. Courses listed in the “Career Development/Training Activities” have educated him more about the environment and trained him on clinical research. He will continue sharpening his informatics expertise by attending scientific conferences.
|Effective start/end date||9/30/13 → 5/2/16|
- National Library of Medicine (R00LM011389)
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.