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Research Articles

Clinician views on how clinical decision support systems can help diagnose asthma in primary care: a qualitative study

, PhDORCID Icon, , PhDORCID Icon, , PhDORCID Icon, , PhD, , , MSc, , MDORCID Icon, , MDORCID Icon, , PhD, , FRCGPORCID Icon, , MDORCID Icon & , MDORCID Icon show all
Pages 377-385 | Received 06 Sep 2023, Accepted 02 Nov 2023, Published online: 11 Nov 2023

Figures & data

Figure 1. Screenshots from the Asthma Diagnosis Clinical Decision Support System prototype. Panel 1: Clinical features required for the prediction model. Panel 2: Output from the prediction model indicating the probability of an asthma diagnosis. Panel 3: Suggestions for next steps based on the probability of asthma.

Figure 1. Screenshots from the Asthma Diagnosis Clinical Decision Support System prototype. Panel 1: Clinical features required for the prediction model. Panel 2: Output from the prediction model indicating the probability of an asthma diagnosis. Panel 3: Suggestions for next steps based on the probability of asthma.

Table 1. Qualitative interview participant characteristics (n = 16).

Supplemental material

Supplemental Material

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Data availability statement

Anonymised qualitative data generated during the study may be available on application to the corresponding author.