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BCBSTX Wellness Rewards

BCBSTX Wellness Rewards

HealthMine Services, Inc.

Health & Fitness免费v4.31.0
App Store
评分

4.4

23 条评分

星级

★★★★☆

最近更新

2026年5月14日

发布日期

2021年8月25日

更新内容

v4.31.0

Bug fixes and performance improvements.

应用信息

开发者
HealthMine Services, Inc.
分类
Health & Fitness
价格
免费
版本
4.31.0
App ID
1580755982

简介

Are you looking for a fun and easy-to-navigate way of managing your health? There's no need to feel lost on this journey anymore! BCBSTX Wellness Rewards is here to help. We'll make sure you have your personal map and guide you along the path to a healthier life! BCBSTX Wellness Rewards is here to empower you with unique tools to help you: • Understand your health • Know the specific steps you can take to get better or stay healthy • Track your activities using Apple Health and other connected devices (if applicable). Let's do this together and make your health a priority! Note: BCBSTX Wellness Rewards is only available to eligible individuals. What's Included? • To do list: a prioritized list of healthy actions you can take to manage your health. • Message Center: be notified when you have new or completed actions, and when new health insights are available. THIS APPLICATION DOES NOT PROVIDE MEDICAL ADVICE. The information and other material contained on this application is for informational purposes only and is not intended or implied to be a substitute for professional medical advice, diagnosis or treatment. All content, including text, graphics, images and information, contained on or available through this application is for general informational purposes only. Always seek the advice of a qualified healthcare provider with any questions you may have regarding medical conditions or before undertaking a new healthcare regimen. NEVER DISREGARD PROFESSIONAL MEDICAL ADVICE OR DELAY SEEKING MEDICAL TREATMENT BECAUSE OF SOMETHING YOU HAVE READ OR ACCESSED THROUGH THIS APPLICATION.

下载量预测

专业 · 预览

预估总下载量

2K2K3K
保守估计乐观估计

26

低 / 月

36

预估 / 月

57

高 / 月

基于23 条评分
假设评分率1.1%
应用年龄58 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。