Ignite Creation Date:
2025-12-18 @ 8:41 AM
Ignite Modification Date:
2025-12-23 @ 10:40 PM
Study NCT ID:
NCT04378985
Status:
None
Last Update Posted:
2020-05-07 00:00:00
First Post:
2020-04-29 00:00:00
Is Possible Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Developing Health Care Service System
Sponsor:
None
Organization:
Study Overview
Official Title:
Developing Health Care Service System Based on Participatory Big Data
Status:
None
Status Verified Date:
2020-05
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
These changes enable the development of healthcare solutions that allow users to actively engage in healthcare and provide appropriate care measures to sufficiently delay or prevent chronic diseases, thereby minimizing the financial losses of the individuals and the society. In particular, chronic diseases such as metabolic syndrome can be prevented or delayed through healthy lifestyle habits. Controversy regarding the effectiveness of using wearable devices and mobile health applications for maintaining lifestyle habits and losing weight exists. Additionally, a study assessing the health of the participants and the disease prevention care for the participants using the genetic data and the lifelog data by the wearable device has not been conducted yet. Therefore, the objective is to operate a lifestyle correction program for examinees who visited a family medicine and health checkup center to develop a user-participation health and disease prevention care system using genetic data and lifelog data. From adults who visited a family medicine and health checkup center, the following should be performed: (1) collect a variety of clinical information, including lifestyle data, physical information, metabolic parameters, genetic information, and metagenomes, which can affect chronic diseases; (2) establish a service model that combines lifestyle data, examination data, and genetic data and analyzes and identifies one's health level through a smartphone application; and (3) examine the effects on the metabolic parameters, lifestyle data, and metagenome (gut microbiome) after using the device (smart healthcare).This pilot study aimed to provide personalized "my data" by linking clinical data and personal lifestyle patterns of the participants who visited a family medicine and examination center.
From adults who visited a family medicine and health check-up center, the following should be performed:
1. Collect a variety of clinical information, including lifestyle data, physical information, metabolic parameters, genetic information, and metagenomes, which can affect chronic diseases
2. Establish a service model that combines lifestyle data, examination data, and genetic data and analyzes and identifies one's health level through a smartphone application
3. Examine the effects on the metabolic parameters, lifestyle data, and metagenome (gut microbiome) after using the device (smart healthcare) "
From adults who visited a family medicine and health check-up center, the following should be performed:
1. Collect a variety of clinical information, including lifestyle data, physical information, metabolic parameters, genetic information, and metagenomes, which can affect chronic diseases
2. Establish a service model that combines lifestyle data, examination data, and genetic data and analyzes and identifies one's health level through a smartphone application
3. Examine the effects on the metabolic parameters, lifestyle data, and metagenome (gut microbiome) after using the device (smart healthcare) "
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: