Empowering Lady Health Workers with AI Routing to Solve Healthcare Coordination Failures in Rural Khyber Pakhtunkhwa
Authors: Shah, Muhammad Nameer
Affiliation: University Of Agriculture, Peshawar
Publication date: 2026-06-18
Publication pathway: Journal Publication
Collection: NSRI Student Research Journal
NSRI Student Research Journal
Online ISSN: 3143-5653
Volume: 1 Issue: 1 Pages/article: Article 0088
PDF: Open PDF/manuscript
Abstract
This study examines maternal healthcare coordination issues in rural Khyber Pakhtunkhwa (KPK), Pakistan. Despite current infrastructure, rural communities face significant obstacles due to the uneven geographic distribution of physicians and fragmented health governance. The study suggests a decentralized digital approach that equips Lady Health Workers (LHWs) with AI-assisted triage and routing, alongside a telemedicine welfare fund. Analysis of existing digital systems and LHW programs suggests that bridging the gap between discovery and care via trusted community intermediaries may significantly lower preventable maternal mortality without the need for additional physical facilities. Findings suggest that the healthcare crisis in KPK appears to be primarily a problem of coordination and discovery rather than a shortage of infrastructure.
Keywords
Applied Science - Computer Science
Citation
Publication Details
ISSN: Online ISSN: 3143-5653
License: Author-retained; open access display by NSRI unless a separate article license states otherwise.
Peer review status: NSRI uses editorial and scholarly review. When appropriate, manuscripts may undergo blinded review by reviewers with relevant subject knowledge.
AI disclosure: No AI disclosure is attached to this public record unless stated in the manuscript.
Conflict of interest statement: No conflict of interest statement is attached to this public record unless stated in the manuscript.
References
References are available in the manuscript PDF when provided.