ARMMAN: Transforming Last-Mile Health Digitally
How ARMMAN leveraged a custom mobile app and automated MIS to enable real-time risk identification, improve last-mile health delivery, and ensure timely intervention for high-risk pregnancies.
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Case at a Glance
ARMMAN is a non-profit organization leveraging technology to empower mothers, children, and health workers with critical information and services across the continuum of care. Through a public health lens, ARMMAN builds scalable, cost effective digital health solutions to reduce preventable maternal and child mortality and morbidity
Operating in remote tribal regions with poor maternal and neonatal health, ARMMAN's Arogya Sakhi program faced challenges including manual data collection, delayed risk classification, limited real-time visibility, and fragmented referral tracking, hindering scalability and timely interventions.
ARMMAN digitally transformed by equipping Arogya Sakhis with a custom Android app for data capture, automated risk alerts, and referral management. This solution included integrated backend dashboards for real-time visibility, automated decision support, and offline capabilities. Implementation involved a phased, co-created rollout with extensive training and support.
ARMMAN's Arogya Sakhi program faced significant hurdles in delivering maternal and neonatal care in remote, tribal regions of Maharashtra. These areas suffered from poor health indicators, weak infrastructure, and limited access to care, compounded by geographical isolation and socio-cultural factors.
- Manual Data Collection: Reliance on paper-based forms led to inefficiencies, including delayed risk identification and errors.
- Lack of Real-time Oversight: Program managers lacked immediate visibility into field activities and health outcomes.
- Fragmented Referral Tracking: Ensuring high-risk cases reached appropriate facilities was challenging due to disconnected tracking.
- Limited Scalability: Manual processes and lack of real-time data hindered the program's ability to expand and effectively manage cases.
These issues collectively limited scalability and the timely escalation of high-risk cases, underscoring an urgent need for a robust, digitally-enabled solution.
To address these challenges, ARMMAN initiated a strategic digital transformation, empowering Community Health Workers (CHWs) with mobile-based tools and establishing robust data-driven program oversight.
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Technology Choices:
- Implemented a custom Android mobile application for Arogya Sakhis, enabling real-time data capture, automated risk alerts, and streamlined referral pathways.
- Ensured critical offline capabilities were integrated into the app for reliable use in low-connectivity rural areas.
- Developed an integrated backend system with dynamic dashboards to provide real-time data visibility and automated decision support for supervisors and program managers.
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Implementation Approach:
- Executed a phased rollout, co-created with frontline teams to ensure contextual relevance and user adoption.
- Conducted extensive capacity-building programs for CHWs to enhance digital literacy and application proficiency.
- Established continuous feedback loops and iterative updates based on field testing and user input.
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Support & Funding:
- Provided dedicated tech support via a helpdesk to address real-time issues and minimize disruptions.
- Secured funding from various CSR donors (e.g., GEP, Chevron, Kotak Foundation, Citius Tech) and collaborated with strategic tech and evaluation partners.
The digital transformation profoundly improved the Arogya Sakhi program's reach, operational efficiency, and quality of maternal and neonatal care.
- Zero maternal deaths among identified high-risk pregnancies since digital escalation protocols were introduced (2023–24).
- 90% follow-up up for high-risk cases identified by the app.
- 100% digital field data collection achieved by 2021, leading to enhanced data quality and real-time visibility for supervisors.
- Reduced CHW paperwork, increasing time for direct beneficiary engagement and counselling.
- Improved donor transparency through data-backed reporting
- Optimized resource allocation via better referral mechanisms.
- Embedded data-driven decision-making within operations.
- Solidified ARMMAN's credibility as a model for last-mile service delivery.
Technology Stack
| Tool | Where it was used | What it enabled | Type |
|---|---|---|---|
| Custom Android Mobile Application | Field data collection, risk alerts, and referral tracking by health workers | Real-time data capture, automated risk stratification, and improved follow-ups | Proprietary |
| Automated MIS | Centralized data management and program monitoring | Real-time visibility and streamlined reporting for supervisors | Proprietary |
| Digital Risk Stratification System | Identifying high-risk pregnancies and triggering alerts | Timely escalation and zero maternal deaths among identified high-risk cases | Proprietary |
| Backend Dashboards | Monitoring program metrics and field performance | Data-driven decision-making and improved oversight | Proprietary |
Key Project Learnings
Involving ground teams in co-creation is crucial for user acceptance and effective implementation..
Offline capabilities are vital for consistent data collection in low-connectivity areas.
Data literacy is key: Training supervisory teams to interpret and act on data maximizes dashboard value.