Explainable Insulin Decision-making System to Assist Physicians in Diabetes Management
Status
Completed
Conditions
Diabetes
Treatments
Other: with explainable AI assistance
Other: with faulty explainable AI assistance
Other: without AI assistance
Other: with AI dosage assistance
Details and patient eligibility
About
The investigators plan to conduct a multi-case, multi-reader observational study with the primary objective of exploring the effects of an interpretable insulin-assisted decision-making system on physicians' (1) decision accuracy and (2) decision confidence.
Enrollment
48 patients
Sex
All
Ages
18+ years old
Volunteers
Accepts Healthy Volunteers
Inclusion and exclusion criteria
Case:
Inclusion Criteria:
- Patients with T2DM who were admitted to Zhongshan Hospital of Fudan University from 2022.12 to 2023.3.
- Insulin regimen is one of the following: a. Basal regimen: once a day subcutaneous injection of long-acting or ultra-long-acting insulin; b. Premixed regimen: two/three times a day subcutaneous injection of premixed insulin; c. Basal mealtime regimen: three times a day before meals subcutaneous injection of short-acting or rapid-acting insulin, plus once a day injection of long-acting or ultra-long-acting insulin.
Exclusion Criteria:
- Cases will be excluded if there is insufficient information for a valid assessment (missing data on insulin or blood glucose >40%).
Doctor
Inclusion Criteria:
licensed medical practitioner.
Trial design
48 participants in 2 patient groups
senior doctor group
Treatment:
Other: with AI dosage assistance
Other: without AI assistance
Other: with faulty explainable AI assistance
Other: with explainable AI assistance
junior doctor group
Treatment:
Other: with AI dosage assistance
Other: without AI assistance
Other: with faulty explainable AI assistance
Other: with explainable AI assistance
Trial contacts and locations
1
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Data sourced from clinicaltrials.gov
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