Personal Patient-Generated Data Visualizations for Diabetes Patients - Archive ouverte HAL Access content directly
Conference Papers Year :

Personal Patient-Generated Data Visualizations for Diabetes Patients

Charles Perin
Lora Oehlberg
  • Function : Author
  • PersonId : 975521


Patients with chronic conditions are usually advised or are self-motivated to track their health data at home and present this data to the healthcare providers during clinical visits. However, often these patient-generated data collections are large, complex and individual. These characteristics make it challenging and time-consuming for providers to understand this data during short clinical visits. We interviewed four diabetes patients and obtained a sample of their data collections to understand their personal lifestyle and perspectives on the process of tracking, recording, and presenting their data. Based on the information we gathered from patients in our study, we designed various personal visualizations tailored to them.
Fichier principal
Vignette du fichier
2018_VIS_PGD-poster.pdf (3.66 Mo) Télécharger le fichier
2018_VIS_PGD-poster-poster.pdf (7.3 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01910365 , version 1 (23-11-2018)


  • HAL Id : hal-01910365 , version 1


Fateme Rajabiyazdi, Charles Perin, Lora Oehlberg, Sheelagh Carpendale. Personal Patient-Generated Data Visualizations for Diabetes Patients. IEEE VIS 2018 Electronic Conference, Oct 2018, Berlin, Germany. ⟨hal-01910365⟩
187 View
192 Download


Gmail Facebook Twitter LinkedIn More