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Unified Care+

Unified Care+

iHealth Labs Inc.

Health & Fitness免费v1.5.0
App Store
评分

4.8

1,021 条评分

星级

★★★★★

最近更新

2026年2月18日

发布日期

2025年4月9日

更新内容

v1.5.0

- Improve performance - Bug fixes

应用信息

开发者
iHealth Labs Inc.
分类
Health & Fitness
价格
免费
版本
1.5.0
App ID
6741659462

简介

Introducing iHealth Unified Care+, an all-in-one health management app for type 2 diabetes, pre-diabetes, hypertension, obesity, and other chronic conditions. Track vitals, log meals, chat with your care team, and receive personalized guidance from dietitians and health coaches—all in coordination with your doctor. Take control of your health with Unified Care+. Key Features: - Personalized Care Plans and 1-on-1 Health Coaching - Track Comprehensive Health Data from iHealth Devices in One Place - Receive Ongoing Support & Feedback From Your Care team - View Live Continuous Glucose Monitoring (CGM) Data - Expert Nutrition & Lifestyle Coaching to Improve Your Health - Medication & Measurement Reminders - Apple Health Integration for Additional Insights About iHealth Unified Care iHealth Labs develops innovative digital health solutions that empower people to live healthier lives. Unified Care, the company’s all-in-one solution for remote patient monitoring and chronic care management, bridges the care gap between office visits and home. Combining smart monitoring devices with an easy-to-use mobile app and nutrition / lifestyle coaching from a dedicated care team, the program improves patient outcomes while reducing healthcare costs. Take control of your health with iHealth Unified Care. Download the app today! Unified Care+ is only available for patients of physicians in the UC Network. To check if your doctor is a member, please call 1-866-899-3998 (M-F, 6am-5pm PST). Note: Medical device services are currently available only to users in the U.S. Terms of Use: https://www.ihealthunifiedcare.com/terms-of-use

下载量预测

专业 · 预览

预估总下载量

93K68K146K
保守估计乐观估计

5K

低 / 月

7K

预估 / 月

11K

高 / 月

基于1,021 条评分
假设评分率1.1%
应用年龄13 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。