The aim of this paper is to outline a triangulated methodology for studying usage of electronic health information systems which combines the quantitative data accrued from computer logs with qualitative data from in‐depth interviews and observation.
The appropriate methods and inherent issues are reviewed from the literature, with an emphasis on qualitative research. The work of the authors is then highlighted, showing how qualitative methods can inform log analysis.
The paper suggests from the review that it is not only possible but also extremely fruitful to combine quantitative and qualitative data to interpret user behaviour.
The methods used by the group, known as “deep log analysis”, are innovative, and the attempt both to discuss these and to provide concrete examples from this research provides its originality.
