Effectiveness of Artificial Intelligent Based mHealth System to Reduce ACS Patients Bleeding Events After PCI

Chinese PLA General Hospital (301 Hospital)

Status: Unknown

Conditions: Percutaneous Coronary Intervention; Acute Coronary Syndrome; Bleeding

Treatments: Behavioral: AI based mHealth system

Study type: Interventional

Funder types: Other

Identifiers

NCT03738930

AI-mHealth-pilot

Details and patient eligibility

About

The present study was designed to observe the effectiveness of artificial intelligent based mHealth system(Chronic disease management system) to reduce bleeding events in ACS patients undergoing PCI.

Enrollment: 420 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

age≥18 years, male or female; confirmed acute coronary syndrome patients; undergo percutaneous coronary intervention (PCI) treatment; good command of smart phones agree to participate in this clinical study and sign a written consent form.

Exclusion criteria

ACS admission deemed secondary to other cause such as traffic accidents, trauma, severe upper gastrointestinal bleeding, surgery, or procedure; patients who are not intend to attend 1 year of follow-up study or investigators find that patients are not able to comply with the study's requirements; pregnant women or lactating women; investigators consider patients who were not suitable for participation with other reasons

Trial design

Primary purpose: Prevention

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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420 participants in 2 patient groups

normal follow-up group

No Intervention group

Description:

normal follow-up in ACS patients after PCI

AI based mHealth system follow-up group

Experimental group

Description:

AI based mHealth system follow-up in ACS patients after PCI. ACS patients in this group will receive message to take more notice to bleeding events.

Treatment:

Behavioral: AI based mHealth system