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A Study on the Effects of Introducing the AI Meal Logging App "FoodLogAthl" to Improve Dietitian Efficiency and Reduce Patient Burden

The Effectiveness of Introducing an AI Meal Logging App "FoodLogAthl" to Improve Dietitian Efficiency and Reduce Patient Documentation Burden: A Practical Study - FoodLogAthl Effectiveness Study (FLES)

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000059185
Enrollment
12
Registered
2025-09-29
Start date
2025-11-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 2 diabetes mellitus, Hypertension, Dyslipidemia

Interventions

This study is an intervention study using a single-arm A-B design (baseline phase-intervention phase) conducted at a single facility. Intervention:Use of the AI-based dietary recording application

Sponsors

Kanagawa University of Human Services
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Adults aged 20~75 years attending Zushi Orthopedic and Internal Medicine Clinic who have been diagnosed with type 2 diabetes, hypertension, dyslipidemia, or any combination of these conditions. Determined by the attending physician to be eligible for nutritional counseling by a registered dietitian. Able to perform basic operations on their own smartphone (iOS 14.0 or later/Android 6.0 or later) and agree to install the study application.

Exclusion criteria

Exclusion criteria: Individuals with severe renal impairment (eGFR 30 mL/min/1.73m2) or eating disorders, or those judged by the principal investigator or attending physician to be unsuitable for the dietary recording method used in this study.Individuals with cognitive decline or other conditions making it difficult to understand the study or operate the application independently (HDS-R score 20, or as determined by the attending physician).Individuals from whom informed consent cannot be obtained.

Design outcomes

Primary

MeasureTime frame
Workflow efficiency of dietitians' nutritional assessment tasks

Countries

Japan

Contacts

Public ContactAkiko Sunto

Graduate School, Kanagawa University of Human Services Graduate School of Health and Social Welfare

suntou-a@kuhs.ac.jp0468282650

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026