
CMED Health
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About
CMED Health is a promising Health-Tech startup that is actively involved in realising the sustainable development goal of Equitable health coverage through digital health inclusion by its cloud-based IoT enabled platform - SUSASTHO App.
VISION
To create a world where everyone has access to affordable, timely and quality healthcare.
MISSION
We are a healthcare organisation aiming to ensure affordable, timely and quality healthcare to 100 million Bangladeshis by 2030 with best technological solutions in a sustainable, humane way.
Our services include -
1. Employee Wellness Solution - DHC
Digital Health Corner (DHC) is a comprehensive healthcare solution that takes care of the health of employees in a company. With this digital healthcare service, office employees and factory workers can get primary and preventive healthcare services by implementing DHC in the office or factory.
2. Community Wellness Solution - SSK
With our SuSastho App, a health worker can easily and efficiently provide digital healthcare to the common people of the area using his/her smartphone with the combination of healthcare agent app and smart medical devices. The one who provides such digital healthcare to the people using SuSastho App is known as Smart Susastho Kormi or SSK. As a local health guardian, he/she is providing good health care to the people of the community.
3. Digital General Practitioner - GP Model
The GP model is the ultimate end-to-end digitally-enabled healthcare service that focuses on making healthcare available, affordable and accurate for all. In this model, people can get preventive & primary medical care delivered to their doorstep with the help of Digital Health Account along with all other healthcare services as & when needed.
Apart from these three key services, CMED also works with various public and private organisations through its health projects. It also performs as a bridge to enable retailers to get SMART health devices to ensure more
Keywords
health account, artificial intelligence, iot, health inclusion, machine learning, artificial intelligence & machine learning, digital health
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