Healthcare analytics and Artificial Intelligence services for Doctors and other experts

Enabling next technology revolution in healthcare for practical use of healthcare experts

Why it's important ?

Quality health analytics is vital to an effective health program. Knowing simple patterns like change in cholesterol ratios over a period of time and co-relating it with other vital health parameters can ensure early mitigation to potential health problem. Also broad applications of AI and machine learning in the healthcare domain are fast developing which can deliver an accurate diagnosis and individual treatment.

What is offered ?

With 1Carecloud analytics framework Doctors can better understand health and treatment effectiveness patterns. Also leveraging some of the most advance Machine Learning (ML) algorithm from leading digital companies we provide unprecedented insight into disease and health improvement opportunity. with ML a healthcare specialist can understand patterns and potential reasons at community and geography levels

Program benefits

Researchers have developed medical machine learning algorithm to predict a disease probability and influencing factors. Deep learning in healthcare identifies complex patterns automatically, and helps Doctors make intelligent decisions by processing images, health vital parameters using cloud platform. The future is full of opportunities with AI and we are committed to bring the best of it to the healthcare industry across the globe

Limitations

This is a partner service offering for analytics and AI framework creation with the help of subject experts. However it is not a substitute for certified medical specialist in an emergency situation or medical treatment. The purpose of this digital services is meant to expand the knowledge from specialist and present it in a easy to understand format related to health and disease management not replace the services of a specialist

HOW IT WORKS

From setting up device development environment to launching global business for healthcare devices

Step No 1

Data Engineering

Data from diverse sources are converted into a common data lake with due security considerations

Our data science experts work closely with domain experts and algorithm providers to create right framework

Step No 1

Step No 2

Data churning for outcomes

After due validations the data for beta patients are churned through our analytics framework and ML algorithm/s.

During the process we seek to collaborate with global institutes for their expertise

Step No 2

Step No 3

Compliance and launch

Once a use pattern is established it is send to compliance bodies for approval (if required) before production release.

After step 2, the framework is catalogued on our platform and offered to target specialist