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AI Health Assistant and Type 2 Diabetes

Application of AI Health Assistant in Out of Hospital Management of Patients With Type 2 Diabetes

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05539066
Enrollment
196
Registered
2022-09-14
Start date
2022-10-01
Completion date
2024-09-30
Last updated
2022-09-14

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

Conditions

Health Behavior, Type2 Diabetes Mellitus

Keywords

Type 2 Diabetes, AI health assistant, Off hospital management

Brief summary

The developed health assistant has the functions of intelligent analysis of health data inside and outside the hospital, health reminder, etc. The advantages of AI health assistant management group compared with conventional management group in terms of comprehensive compliance rate, metabolic index level, hypoglycemia incidence rate was further studied.

Detailed description

1. The investigators have developed an AI health assistant suitable for diabetes patients, which has the functions of automatically uploading blood pressure, blood glucose data, intelligent reminder, automatic analysis of reports inside and outside the hospital, intelligent question and answer, etc. it is simple to operate, highly interactive, and maximizes the management level of diabetes patients outside the hospital. 2. Through AI personal health assistant, 196 diabetes patients were managed to further improving the comprehensive compliance rate of metabolic indicators such as blood glucose and blood pressure of diabetes patients, improving the patients' self-management ability.

Interventions

DEVICEAI health assistant

To study the advantages of AI health assistant management group compared with conventional management group in terms of comprehensive compliance rate, metabolic index level, hypoglycemia incidence rate, and mastery of diabetes related knowledge.

Sponsors

Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

The diagnostic criteria of T2DM patients are the diagnostic criteria of the 2017 China guidelines for the prevention and treatment of type 2 diabetes HbA1c 7.5-13% Age: 18-65y BMI 18.5-30kg/m2 The course of disease is less than 5 years Have good cognitive ability and can correctly use health assistants

Exclusion criteria

Acute complications of diabetes (diabetes ketosis, etc.) Diabetes complicating pregnancy or preparing for pregnancy HbA1c \< 7.5% or \> 13% Age \< 18y or age \> 65y Pre pregnancy BMI \< 18.5 or \> 30kg / m2 Severe liver and kidney dysfunction (ALT greater than 2.5 times the upper limit of normal, EGFR less than 45 ml / min / 1.73m2) Using drugs that may affect blood glucose are being used (including steroids, hydroxyprogesterone hexanoate, anti AIDS drugs, etc.)

Design outcomes

Primary

MeasureTime frameDescription
HbA1c compliance rate6 monthsCompliance rate of HbA1c \< 7%
Blood pressure compliance rate6 monthsProportion of patients with blood pressure \< 130 / 80mmHg
Compliance rate of total cholesterol6 monthsProportion of patients with total cholesterol \< 4.5mmol/l
Compliance rate of BMI (Body Mass Index)6 monthsProportion of patients with BMI \< 24 kg/m2

Secondary

MeasureTime frameDescription
Incidence of hypoglycemia6 monthsNumber of attacks with blood glucose less than 3.8mmol/l

Contacts

Primary ContactLiping Gu, doctor
guliping1980@126.com+86(021)63240090

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026