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

NCT03738930 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 420

Last updated 2018-11-13

No results posted yet for this study

Summary

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.

Conditions

  • Acute Coronary Syndrome
  • Percutaneous Coronary Intervention
  • Bleeding

Interventions

BEHAVIORAL

AI based mHealth system

AI based mHealth system is used to deliver self-management contral message and health education message to make patients take notice of bleeding events after PCI.

Sponsors & Collaborators

  • Chinese PLA General Hospital

    lead OTHER

Principal Investigators

  • Yundai Chen, Master · The General Hospital of PLA

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-11-10
Primary Completion
2019-04-01
Completion
2020-01-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03738930 on ClinicalTrials.gov