Research Interests

Health Informatics

My PhD research in health informatics in social network analysis and knowledge transfer/management. I am interested in how SNA can be applied to online communication amongst healthcare practitioners to better understand both how online communication differs from regular forms of communication, and how this information can be leveraged to improve patient care. Working with the Pediatric Pain Management group at the IWK on a project developing PPM in Thailand, my hope is to leverage online communication forums in order to facilitate tacit knowledge transfer between practitioners.
I am also interested in the inherent knowledege embedded within electonic communications, and how this knowledge can be extracted, organized and leveraged to improve the overall knowledge base. My knowledge linkage project has developed an infobutton to automatically link conversations around clinical problems to published medical literature about that subject.
Other HI subjects I'm interested include incorporating Decision Support Systems into Electronic Medical Records, developing Case Based Reasoning systems that work with EMR data, and on automatic data parsing and data retrieval.

Statistics

As a statistician I am interested in a number of different fields.

computational statistics:

I work almost exclusively with the R statistical programming language for analysis, and have developed two libraries for it: longRPart is an extension of the rpart library for building classification trees for longitudinal outcomes. ResearchMethods is a set of interactive R programs built using the tcltk library that help demonstrate the ideas behind the statistical processes we use in a corresponding online course. I have also written a set of help files for creating GUIs in R using the tcltk library, available here. Note that this is an incomplete list, and not available on CRAN, as I have not contacted the R team about incorporating them into the tcltk library.

literate statistical analysis:

One of the biggest problems with the statistical community is our inability to relate the results of an analysis back to the subject of interest. Using the Sweave package in R along with LaTeX I attempt to integrate analysis with reporting, with the goal of translating robust statistical analysis directly into useful interpretation.

Publications

Presentations