Skip to content

LLM-CoManage: Large Language Model-Enabled Co-Management of Hypertension, Diabetes, and Dyslipidemia

A Cluster-Randomized Trial of Large Language Model-Enabled Coordinated Management for Hypertension, Diabetes, and Dyslipidemia in Community Settings (LLM-CoManage Trial)

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07350486
Acronym
LLM-CoManage
Enrollment
6800
Registered
2026-01-20
Start date
2026-05-14
Completion date
2027-04-30
Last updated
2026-09-04

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

Conditions

Diabetes, Dyslipidemia, Hypertension

Keywords

Large Language Model, Co-Management

Brief summary

This study aims to evaluate the effectiveness of a large language model (LLM)-supported, community-based integrated management model in improving cardiometabolic multimorbidity control among adults with hypertension and coexisting diabetes or dyslipidemia. Adopting an interventional study design, eligible patients will be recruited to compare the disease control indicators between LLM-assisted management and conventional management, so as to verify the effectiveness and safety of the former.

Interventions

OTHERLLM-Enabled Co-management

The intervention is a LLM-enabled, community-based integrated management strategy for cardiometabolic multimorbidity. The LLM system functions as the central intelligence layer, integrating multi-condition clinical information, delivering real-time decision support, coordinating care workflows, and facilitating continuous patient engagement. Within this LLM-enabled framework, community physicians-after standardized training-serve as the core executors of care, delivering guideline-based pharmacologic treatment, lifestyle counseling, and structured monitoring of coexisting cardiometabolic conditions. Policy-aligned performance incentives are used to support physician engagement and implementation fidelity, without altering medication access or underlying clinical protocols. The LLM-enabled intervention is implemented through the HyperMind system, an integrated platform that simultaneously supports clinicians, patients, and health-system oversight.

Sponsors

First Hospital of China Medical University
Lead SponsorOTHER
Beijing Chao Yang Hospital
CollaboratorOTHER
Zhejiang University
CollaboratorOTHER
Shandong Provincial Hospital
CollaboratorOTHER_GOV
Cangzhou Central Hospital
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Masking description

Outcome Assessment Committee members will be blinded to outcome assignment.

Eligibility

Sex/Gender
ALL
Age
40 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Participating communities must meet all of the following criteria: * Have a designated community physician responsible for primary care who is capable of using a smartphone with stable internet access for clinical communication and LLM-assisted management; * No plan for administrative merger or restructuring within the next three years; * Located at least 2 kilometers away from adjacent participating communities (to minimize contamination between clusters). Eligible participants must fulfill all of the following conditions: * Aged 40 years or older; * Uncontrolled hypertension, defined as systolic blood pressure (SBP) ≥140 mmHg or diastolic blood pressure (DBP) ≥ 90 mmHg; * Coexisting diabetes (HbA1c ≥ 7.0%) or coexisting dyslipidemia (LDL-C ≥ 3.4 mmol/L\[130 mg/dL\]); * Able to use a smartphone independently or with assistance from family members; * Has resided in the participating community for at least 6 months; * Has no plan to relocate in the next 3 years; * Enrolled in basic medical insurance for urban and rural residents, employee medical insurance, or the New Rural Cooperative Medical Scheme; * Not currently pregnant or planning pregnancy during the study period; * Free from malignant tumors and deemed to have a life expectancy of at least 3 years, as judged by study physicians; * Willing and able to provide written informed consent.

Exclusion criteria

No specific

Design outcomes

Primary

MeasureTime frameDescription
The between-group difference in the proportion of participants achieving simultaneous control of hypertension and either diabetes or dyslipidemia.6 months after baselineSimultaneous control is defined as BP \< 130/80 mmHg and at least one of the following: HbA1c \< 7.0% or LDL-C \< 2.6 mmol/L (100 mg/dL), with a stricter threshold of \< 1.8 mmol/L (70 mg/dL) for participants with cardiovascular disease(CVD).

Secondary

MeasureTime frameDescription
Net changes in estimated 10-year risk for atherosclerotic CVD.6 months after baselineNet change in estimated 10-year atherosclerotic cardiovascular disease risk.
Proportion of participants achieving control of individual risk factors: BP < 130/80 mmHg (or < 140/90 mmHg); HbA1c < 7.0%; and LDL-C < 2.6 mmol/L (100 mg/dL) or < 1.8 mmol/L (70 mg/dL) for those with CVD.6 months after baselineThe proportion of participants achieving target control of each individual risk factor, including blood pressure, HbA1c, and LDL-C.
Mean systolic blood pressure changes.6 months after baselineMean systolic blood pressure changes of participants.
Mean diastolic blood pressure changes.6 months after baseline.Mean diastolic blood pressure changes of participants.
Mean HbA1c changes.6 months after baseline.Mean HbA1c changes of participants.
Mean LDL-C changes.6 months after baseline.Mean LDL-C changes of participants.
Proportion of participants achieving simultaneous control of BP, HbA1c, and LDL-C.6 months after baselineThe proportion of participants achieving simultaneous control of blood pressure, HbA1c, and LDL-C.
Awareness and treatment rates for hypertension, diabetes, and dyslipidemia.6 months after baselineRates of disease awareness and treatment for hypertension, diabetes, and dyslipidemia.
Proportion of participants receiving integrated, guideline-based management of all indicated conditions.6 months after baselineThe proportion of participants receiving integrated, guideline-based management for indicated conditions.
Mean health expenditures and within-trial cost-utility.6 months after baselineMean health care expenditures and within-trial cost-utility outcomes.
Changes in treatment adherence.6 months after baselineChange in treatment adherence among participants.
Improvements in behavioral risk factors (e.g., diet, physical activity, tobacco use, lifestyle intervention uptake).6 months after baselineChanges in behavioral risk factors including diet, physical activity, and tobacco use.
Patient-reported outcomes related to satisfaction.6 months after baselinePatient-reported satisfaction with LLM will be assessed using a structured scale.
Patient-reported outcomes related to self-management.6 months after baseline.Patient-reported self-management will be assessed using a structured scale.
Patient-reported outcomes related to quality of life.6 months after baseline.Patient-reported quality of life will be assessed using a structured scale.
Patterns of AI-assisted recommendations and digital interactions.6 months after baselineThe patterns of Artificial Intelligence(AI)-assisted recommendations and related digital interactions generated during the study.
Adoption and utilization of the LLM system by physicians and patients.6 months after baselineThe extent of physician and patient adoption and use of the LLM-based system.

Countries

China

Contacts

PRINCIPAL_INVESTIGATORYingxian Sun, MD, PhD

First Hospital of China Medical University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 5, 2026