Driven by rapid growth in rural areas, India will be home to an estimated 627 million internet users by the end of this year. If harnessed correctly, this penetration of the internet coupled with digital technology can transform healthcare delivery in rural India. Fully recognizing the possibilities and potential of such an intervention, ASMAN has developed a unique digital platform that is one of the key features of this program: ASMAN Application.

ASMAN Application is a clinical decision support system to help healthcare providers make informed decisions during the intrapartum and immediate postpartum period in order to save mothers and newborns. The application captures vitals in real time, from the time of admission until discharge. It improves quality of care by alerting nurses to possible risks and complications and helping them to follow best practices while caring for mothers and newborns. It improves quality of care by alerting nurses to possible risks and complications and helping them to follow best
practices while caring for mothers and newborns during delivery and until their discharge.

Key features of
ASMAN Application:


Nurses enter case data on digitized maternity case sheets in real time, which has helped reduce manual paperwork and make referrals easier. Integrated into the case sheets is:

Safe Childbirth Checklist: this is a step-by-step instruction guide adapted from World Health Organization. This useful checklist can be followed at the time of admission, before delivery or before a caesarean, within an hour after delivery and before discharge. All the data entered in the case sheets are backed up and available for remote access.

e-Partograph: this is a tool that monitors the progress of labour. It is self-generated, and nurses only have to enter the necessary parameters into the application.

identification of high-risk cases

When any of the parameters entered on the application is beyond the normal range, ASMAN application’s clinical rule algorithm generates alerts for service providers and sends notifications via SMS to doctors on their mobile phones. It also monitors if the case is high risk, the stage of delivery and also assesses if the case is an indication for C-section


It is important for healthcare providers to monitor maternal and foetal vital signs during labour to help them support labour, identify complications and make crucial decisions. For this, ASMAN program uses:

  • An e-Partograph, which is a software platform to monitor labour progress and is integrated into the digitized case sheets. It makes data entry efficient, provides instant data graphs, reminds nurses to take critical recordings and provides alerts when measurements are abnormal. It helps in the early identification and handling of complications

Dashboard, Registers and reports

A system generated live dashboard is aggregated at the facility, district and state levels. It enables program managers and government officials to view live cases and patient information in real time, and supports decision making and advocacy. The dashboard also makes it possible for officers to compare indicators across all facilities, thus helping in overall monitoring and
evaluation through data analytics. The government standardized registers can be generated from ASMAN Application. Through this, ASMAN hopes to create a shift from only reporting and compliance, to authentic value
creation for service providers and decision makers.

Self-directed learning platform

ASMAN application has an on-demand learning platform that is available in-facility on ASMAN tablet and on-the-go and is well equipped with audio, video tutorials and context specific refresher videos. This educational
content, as well as the clinical guidelines and related content on the Safe
Delivery App, gives healthcare providers, easy-to-understand and practical
information on how to manage complications that they encounter in the labor room while caring for mothers and newborns. The ASMAN game
available provides a collection of engaging and innovative 29 game-based clinical scenarios aiding in capacity building of healthcare providers to manage complicated cases.