JMIR Publications

ABSTRACT

Background:

Inefficient emergency referral systems in low- and middle-income countries (LMICs) like Pakistan contribute to delays in patient care, miscommunication, and inadequate preparedness at receiving facilities, ultimately worsening health outcomes, especially in time-critical specialties like Neurosurgery. Khyber Pakhtunkhwa (KPK), like many regions in Pakistan, lacks a streamlined referral mechanism across its healthcare facilities.

Objective:

This study led by neurosurgical specialists, aims to design, implement, and evaluate a digital emergency referral system—the KPK MTI Referral Application—to enhance patient triage, real-time communication, and system-wide monitoring. The goal is to improve the efficiency, transparency, and responsiveness of the emergency referral process across KPK’s healthcare system.

Methods:

A user-centered, mobile- and web-based referral platform will be developed, tailored to KPK’s health infrastructure and digital landscape. The mixed-methods study will include quantitative analysis of referral patterns and outcomes, as well as qualitative feedback from healthcare providers and patients across major Medical Teaching Institutions (MTIs), district hospitals, and tehsil hospitals. Key features of the application will include a user-friendly interface, real-time bed availability, automated and specialty-specific referral forms, image upload functionality, instant notifications, unique referral IDs, and dashboards for monitoring and analytics. The study will be conducted in phases, including requirement gathering, development, testing, and deployment. Ethical considerations such as data anonymization, patient confidentiality, and secure storage will be addressed.

Results:

The evaluation will focus on measurable improvements including a reduction in unnecessary referrals, improved response times, increased bed utilization rates, decreased patient mortality, cost savings, and enhanced satisfaction among patients and healthcare providers.

Conclusions:

The study’s findings will inform policy recommendations for broader adoption of digital referral systems in KPK and other LMICs facing similar challenges.