Interstitial Disease
Conditions
Keywords
Artificial Intelligence
Brief summary
The present study aims to evaluate the usefulness of artificial intelligence (AI) in the back-office of an ILD (Interstitial Lung Disease) clinic.
Interventions
The patients will receive questionnaires. The enrolled patients will be asked to provide feedback on the answers they read.
Sponsors
Study design
Eligibility
Inclusion criteria
\- Patients attending ILD clinic of the IRCCS Fondazione Policlinico A. Gemelli.
Exclusion criteria
* Patients unable or unwilling to sign the informed consent * Patients who are senders of one of the emails chosen for the questionnaire * Patients with manifest inability to fill out the questionnaire
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Variation of VAS scores of empathy conveyed in questionnaires administered at T1 and at T2 | 15 days |
| Variation of VAS scores of clarity of the message in questionnaires administered at T1 and at T2 | 15 days |
Secondary
| Measure | Time frame |
|---|---|
| Percentage of answers recognised correctly as answers provided by AI among the total of answers flagged as provided by AI by study subjects | 1 day |
| Stratify the results by patients' demographic characteristics and past experiences with artificial intelligence systems. | 1 day |