MobileActive.org

‘Aarogyam’ is a Sanskrit word which means "complete freedom from illness”. Aarogyam is an ICT based responsive system which ensures and involves active participation of all key stakeholders viz. local administration, health facilities and doctors, frontline health workers (ASHA (Accredited Social Health Activists), ANM (Auxiliary Nurse Midwife), and AWW (Angan Wadi Workers)), village heads and beneficiaries, to ensure that a pregnant woman is provided with ANC, PNC and complete immunization throughout the continuum of care.   Aarogyam maintains a village wise database of all the beneficiaries (pregnant/lactating women, children up to 5 years) of an area, which gets continually updated with new data generating on the field with the help of front line health workers. The database thus generated is the backbone of the software system used by Aarogyam. This system generates automated alerts in the form of vernacular voice calls/SMS to the beneficiary thus enabling the beneficiary with vital information at their door step.   The system not only provides beneficiary with the information to be acted upon but also ensures that the services are delivered to the beneficiary by generating automated alerts (vernacular voice calls/SMS) for the ANM and Block level health officials, informing them of due services in their area.  

Patient data collection and emergency health service is the primary challenge in developing countries. Risk assessment of pregnant mother and healthcare based on priority is almost impossible in present health service of Bangladesh.

A pilot study was done in three urban slums of Dhaka where BRAC health workers were provided with mobiles. A smart algorithm was incorporated in the mobiles. The mobile solution came up with useful findings. The health workers now could send data directly to central MIS system which reduced previous time lag. A secure web page contained all the patient data which was accessible by BRAC Personnel from anywhere any time. An automated risk assessing decision tree categorized the patients depending on their risk levels for timely treatment.

The mobile solution proposed a pro-active, cost-effective platform for rapid health service for pregnant mothers and neonates with reduced manpower.