Machine learning models to screen employees for relevant health checks

As part of employee benefits, organisations right now intuitively zero in on a single health check package which they think fits all their employees and offer this for free to all their employees. This approach of One package fits all’ not only fails to be relevant to most employees but also increases the corporate’s wellness budget. Continue reading “Machine learning models to screen employees for relevant health checks”

Heat maps for Employee Health Insights

An organisation spends approximately 1500 Rs/annum per employee for covering their medical check up costs. In top corporates, these costs contribute to 65-70% of their total annual employee benefits expense. But, the organisation’s prime concern to implement intervention programs is still unmet given their inability to identify health risks concerning their employees.
Continue reading “Heat maps for Employee Health Insights”

Making a case for data driven corporate wellness & health coach programs

Investment in employee wellness can reap huge dividends – not just for the company, but also for the individual employees. And which organization wouldn’t like their employees to be healthy, motivated and more productive!?

Traditionally, very few companies had employees’ health and wellbeing high on their priority list. Barring few organizations, organizations neither had intent, nor the knowhow about this. However, of late, several organizations realized the importance of healthier employees. Healthier workforce helps organizations increase productivity, reduce absenteeism and increase motivation. This in turn not only benefits the employee but has impact on overall organization’s performance. Continue reading “Making a case for data driven corporate wellness & health coach programs”

19% of users suffer from Hypertension, Know more.

A WHO study says that globally, cardiovascular disease accounts for approximately one third of the total deaths. Out of this, complications of hypertension is responsible for at least 45% of deaths.

India is placed at a higher risk due to lack of Hypertension awareness, treatment and control status, with only half of the urban and a quarter of the rural hypertensive individuals being aware of its presence.

-Ganesh Shankar, Data consultant @ eKincare

Continue reading “19% of users suffer from Hypertension, Know more.”

#Aarogyasri @ #Telangana. #Warangal and #Hyderabad have highest percentage of Aarogyasri claims

We followed up on our analysis of the Aarogyasri scheme spends of Andhra Pradesh by running a similar analysis on the data for Telangana State.

We analyzed the Aarogyasri claims during the period July’14 till July’15 from public data available on, to understand how funds are being spent in Telangana.

– Ganesh Voona Analytics consultant @

Continue reading “#Aarogyasri @ #Telangana. #Warangal and #Hyderabad have highest percentage of Aarogyasri claims”