Designing a Digital Artifact for Data Collection to Improve Daily ADHD Medication

Rikard Rosenbacke, Navid Tajhizi, Ioanna Constantiou, Åsa Melhus

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review


Hundreds of millions of persons are affected by Attention-Deficit/Hyperactivity Disorder (ADHD), struggling with lack of concentration, hyperactivity, and emotional regulation. Patients often have the prescription of the same dosage for months to years, and optimizing ADHD medication can be a complex and lengthy trial-and-error process. In this study, we adopt design science methodology to investigate how mobile technologies like smartphones and smartwatches can be used for monitoring and selfreporting data to enable a flexible and personalized pharmacological therapy for ADHD patients on a daily basis. In the initial development of the artifact H-app-y, we focus on patients' self-reporting of emotions in combination with detecting sleep patterns as input in the general psychiatric clinical assessment. It is followed by an investigation about how to add additional input in the iterative development process. We hope that this study can help psychiatrists improve medication and help patients understand themselves better
TitelProceedings of the 30th European Conference on Information Systems (ECIS)
Antal sider11
UdgivelsesstedAtlanta, GA
ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
StatusUdgivet - 2022
BegivenhedThe 30th European Conference on Information Systems (ECIS) 2022: New Horizons in Digitally United Societies - Universitatea de Vest din Timișoara (UVT) / West University of Timişoara (WUT), Timisoara, Rumænien
Varighed: 19 jun. 202224 jun. 2022
Konferencens nummer: 30


KonferenceThe 30th European Conference on Information Systems (ECIS) 2022
LokationUniversitatea de Vest din Timișoara (UVT) / West University of Timişoara (WUT)
NavnProceedings of the European Conference on Information Systems


  • Design science
  • ADHD
  • Digital artifact
  • Affect model