Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home.


Journal

IEEE journal of biomedical and health informatics
ISSN: 2168-2208
Titre abrégé: IEEE J Biomed Health Inform
Pays: United States
ID NLM: 101604520

Informations de publication

Date de publication:
07 2019
Historique:
pubmed: 15 8 2018
medline: 23 1 2020
entrez: 15 8 2018
Statut: ppublish

Résumé

In order to meet the health needs of the coming "age wave," technology needs to be designed that supports remote health monitoring and assessment. In this study we design clinician in the loop (CIL), a clinician-in-the-loop visual interface, that provides clinicians with patient behavior patterns, derived from smart home data. A total of 60 experienced nurses participated in an iterative design of an interactive graphical interface for remote behavior monitoring. Results of the study indicate that usability of the system improves over multiple iterations of participatory design. In addition, the resulting interface is useful for identifying behavior patterns that are indicative of chronic health conditions and unexpected health events. This technology offers the potential to support self-management and chronic conditions, even for individuals living in remote locations.

Identifiants

pubmed: 30106700
doi: 10.1109/JBHI.2018.2864287
pmc: PMC6391215
mid: NIHMS1007378
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1742-1748

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB015853
Pays : United States
Organisme : NINR NIH HHS
ID : R01 NR016732
Pays : United States
Organisme : NIA NIH HHS
ID : R25 AG046114
Pays : United States
Organisme : NIBIB NIH HHS
ID : R25 EB024327
Pays : United States

Références

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Auteurs

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Classifications MeSH