Health Equity · Digital Health · AI · Nepal

Health Equity
Through
Technology

Health Equity & Action Lab Initiative for Global Health Nepal

HEALING Nepal is a health innovation initiative developing digital health tools that improve healthcare delivery in low-resource settings, via disease identification, risk prediction, supporting clinical decisions, and follow-up.

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Based in Kathmandu, Nepal

What We Do

Focus Areas

We build community-deployable AI tools that are practical, evidence-based, and designed for clinicians working in low-resource environments.

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Mental Health Clinical Decision Support

Digital App-Based mhGAP clinical decision support tool for management of common mental health conditions in primary care setting

A simple digital app that provides step-by-step clinical decision support for screening, diagnosis, treatment, and follow-up at the community level using the mhGAP guidelines.

Depression, Anxiety & Substance use

🤱

Maternal Health Surveillance

Risk stratification models that analyzes remotely collected antenatal care data to identify high-risk pregnancies early.

This helps rural health workers prioritize care, reduce preventable complications, and ensure timely referrals without needing constant specialist access.

Antenatal care, high-risk pregnancy, monitoring, postpartum follow-up

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Surgical Aftercare

Post-operative wound monitoring at primary care settings and remote consultation with teams from tertiary care settings for postoperative management.

Health workers and patients can track healing progress through photos and simple symptom reports by the help of system using convoluted neural network to flag early signs of infection or complications, reducing unnecessary travel to tertiary hospitals.

Remote wound monitoring, Symptom tracking dashboards, Early-warning systems

Our Process

How It Works

From research to real-world deployment, we move through a inclusive, collaborative, and user-centred approach to bring digital tools to serve individuals who are under-represented.

Research & Identify

We engage primary healthcare workers and communities to understand the needs, challenges, and opportunities for AI integration in healthcare delivery.

Prototype & Validate

We develop quick prototypes and test them with clinical partners. We iterate tools until it works in real-time low-resource settings.

Deploy & Scale

We release practical, low-bandwidth tools that the primary healthcare workers and communities can easily use and adopt.

Latest

News & Updates

Stay up to date with our project milestones, partnerships, and deployments.

Research February 2025

mhGAP Clinical Decision Support Tool: Prototype Phase

Oreintation of primary healthcare workers of Devdaha Municipal Hospital on app-based mhGAP clinical decision support tool.

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Partnership January 2025

Community Health Worker Engagement: Rural Municipality

Meeting with community health workers in Ward-09, Panauti Municipality on potential barriers and facilitators of digital health tools in their existing workflows.

Maternal and child health community engagement

Maternal Health December 2024

Maternal Risk Stratification Model — Data Collection

Baseline data collection for our maternal health risk prediction model has commenced in partnership with community health posts, focusing on high-risk pregnancy identification in rural communities.

Conference October 2025

Presented at ACS Clinical Congress 2025, Chicago

Dr. Prajjwol Luitel presented research on congenital genitourinary anomaly identification and referral in Nepal at the American College of Surgeons Clinical Congress 2025 in Chicago, USA.

Community 2024

School-Based Mental Health Awareness Training

Mental health awareness sessions for class 6-10 students in Sarada Primary School, Panauti, with an aim to destigmatize mental health from young age.

Research 2024

Naltural Language Processing for Autism in Low-Resource Settings

Natural Language Processing-based autism screening tool adapted for low-resource settings, using speech and language pattern analysis to support early identification in primary healthcare settings.

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Innovation 2025

Introducing PRIYA: AI-Powered Wound Surveillance

Predictive Risk Intelligence for Your Abdominal wound — a multimodal AI-powered, community-deployed wound surveillance platform for early detection of post-cesarean surgical site infection. PRIYA combines thermal imaging, skin-tone-calibrated wound photography, and clinical metadata to generate objective wound metrics, detect early signs of infection, support triage, and predict healing trajectories — ultimately reducing complications, healthcare costs, and improving recovery outcomes.

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Health Equity
Through
Technology