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Patient Generated Data And Affordances: Conversation Cues In Clinical Decision Making
Kristiania University College, Oslo, Norway.
University of Gothenburg, Gothenburg, Sweden.
University West, School of Business, Economics and IT, Divison of Informatics. (LINA)ORCID iD: 0000-0002-4563-0001
2018 (English)In: Proceedings from the annual NOKOBIT conference held at Svalbard the 18th-20th of September 2018, 2018, Vol. 26, p. 1-10, article id 542Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

An increasing number of systems support the use of patient-generated data in patient-provider collaboration.However, there is yet limited understanding of how patient-generated data impact the way healthpersonnel work with data in clinical decision-making processes, and whether patient-generated data mightbe able to support clinical processes, for instance by providing evidence for diagnoses, treatment monitoring,or recovery. In this paper, we explore the use of patient-generated data in clinical decisions in twocase studies. In the first case an App is used by patients in cancer rehabilitation to track their pain levels,frequency of specific events, and symptoms. Rather than requiring patients to remember past events at thetime of the visit, patients can use the App to register events as they happen. In the second case an App isused in conjunction with a set of digital medical devices to track a defined set of parameters in remote carefor patients with chronic conditions. Both Apps are designed with the aim to improve data accuracy andensure data quality. Our findings show that beside gaining data quality and accuracy, patient generateddata work as conversational cues in the context of the interaction between patients and health personnel.This finding is relevant as it shows that patient generated data need to be treated not just as facts but ascues or as an affordance for patient-provider dialogue. Based on this understanding, we identify threedesign implications for Apps for patient-generated data to support patient-provider dialogue.

Place, publisher, year, edition, pages
2018. Vol. 26, p. 1-10, article id 542
Keywords [en]
Patient-generated data, App, Affordance.
National Category
Information Systems
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
URN: urn:nbn:se:hv:diva-12951OAI: oai:DiVA.org:hv-12951DiVA, id: diva2:1251507
Conference
NOKOBIT conference held at Svalbard the 18th-20th of September 2018
Available from: 2018-09-27 Created: 2018-09-27 Last updated: 2018-10-12Bibliographically approved

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Islind, Anna Sigridur

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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