User-Centered Design of Pervasive Healthcare Applications

Research Article

Data Recording in Primary Care Field Studies: Patient Records Enhancement Project

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  • @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},
        keywords={electronic health record primary care field study human-computer interaction},
  • 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
    DOI: 10.4108/icst.pervasivehealth.2011.246073
Lesley Axelrod1,*, Geraldine Fitzpatrick2, Flis Henwood3, Jackie Cassell4, Helen Smith4, Amanda Nicholson4, Greta Rait5, Greta Rait5
  • 1: University of Sussex
  • 2: Technical University of Vienna
  • 3: University of Brighton
  • 4: Brighton and Sussex Medical School
  • 5: University College London Medical School
*Contact email:


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.