Research Article
Data Recording in Primary Care Field Studies: Patient Records Enhancement Project
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246073, author={Lesley Axelrod and Geraldine Fitzpatrick and Flis Henwood and Jackie Cassell and Helen Smith and Amanda Nicholson and Greta Rait and Greta Rait}, title={Data Recording in Primary Care Field Studies: Patient Records Enhancement Project}, proceedings={User-Centered Design of Pervasive Healthcare Applications}, publisher={IEEE}, proceedings_a={U-CDPHA}, year={2012}, month={4}, keywords={electronic health record primary care field study human-computer interaction}, doi={10.4108/icst.pervasivehealth.2011.246073} }
- Lesley Axelrod
Geraldine Fitzpatrick
Flis Henwood
Jackie Cassell
Helen Smith
Amanda Nicholson
Greta Rait
Greta Rait
Year: 2012
Data Recording in Primary Care Field Studies: Patient Records Enhancement Project
U-CDPHA
IEEE
DOI: 10.4108/icst.pervasivehealth.2011.246073
Abstract
This position paper describes the Human-Computer Interaction (HCI) field studies component of the multidisciplinary Patient Records Enhancement Project (PREP). PREP seeks to understand variability of data found in primary care electronic records, in particular the balance between coded data and doctor’s ‘free text’ notes. HCI fieldwork will establish variables that affect recording practices. In field studies we observe and record data recording practices in general practice (GP) surgeries, interview staff, video consultations with real patients and video consultations with standardized patients (played by medical actors). By standardizing patients we can compare the impact of other variables: different doctors, in different surgeries, using different e-health systems. Our early findings suggest that variability is due to a complex web of reasons, driven by personal, contextual and organizational processes. Findings from thematic analysis will result in design implications for studies by epidemiologists and public health researchers, design of NHS training and work processes, and design of electronic health record interfaces.