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.
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.
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