Perceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Māori Views

The exploration revealed that there is a need for greater information about AI and technology for Māori communities and a need to address trust issues relating to the use of technology. Expectations in relation to computer-based applications for health purposes were expressed. The research outcomes will inform future investigations on AI and technology to enhance the health of people with asthma, in particular those designed for Indigenous populations in New Zealand.

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Institutions

Publication Details

Journal
JMIR Formative Research
Published
2024-08-20
DOI
https://doi.org/10.2196/59811
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.48

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article

Perceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Māori Views

Widana Kankanamge Darsha Jayamini, Farhaan Mirza, Amy Hai Yan Chan, M. Asif Naeem et al.
4 citations
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
0.48
article

Perceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Māori Views

Widana Kankanamge Darsha Jayamini, Farhaan Mirza, Amy Hai Yan Chan, M. Asif Naeem, Marie-Claire Bidois-Putt
article en
4 citations

Abstract

The exploration revealed that there is a need for greater information about AI and technology for Māori communities and a need to address trust issues relating to the use of technology. Expectations in relation to computer-based applications for health purposes were expressed. The research outcomes will inform future investigations on AI and technology to enhance the health of people with asthma, in particular those designed for Indigenous populations in New Zealand.

JMIR Formative ResearchVol. 8
University of Kelaniya (LK), University of Auckland (NZ), National University of Computer and Emerging Sciences (PK), Auckland University of Technology (NZ)
Auckland University of Technology, New Zealand
Openalex Percentile: Top 32%
Artificial Intelligence in Healthcare and Education
0.48
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Perceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Māori Views — Widana Kankanamge Darsha Jayamini, Farhaan Mirza, et al. · JMIR Formative Research (2024) | TGRS Research Map | TGRS