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AZIZ SHUAIB AUSI
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Research Summary: Digital Medicines Information at National Scale: Search Behaviour and System Performance of MediVerify Across 1.5 Million Queries

Original authors
Attribution requires verification
Original source
arXiv — Computers and Society
Summary & Analysis prepared by
Aziz Shuaib Ausi
Resource type
Research Summary / Knowledge Resource
Resource published on AZIZ OS
25 September 2026
Reading time
1 min
Publication type
Knowledge Resource
Availability
Open access
About this Summary & Analysis

AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.

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An analysis of Sri Lanka's national online medicines information platform, MediVerify, revealed significant public engagement with 1.49 million queries in its first year. The study aimed to characterize medicine information-seeking behavior, identify discrepancies between public demand and essential medicines policy, and assess system performance. This research highlights the utility of national-scale digital health platforms in understanding population healthcare needs and informing policy.

Why it matters

This research demonstrates the potential of national digital health platforms to generate valuable data for understanding public healthcare needs and behaviors at scale. The insights gained can inform strategic planning for medicine accessibility, regulatory policy adjustments, and resource allocation, particularly in developing economies.

Key insights

  • MediVerify, Sri Lanka's national online platform for National Medicines Regulatory Authority (NMRA)-approved medicines information, processed over 1.49 million queries within its first year of operation.
  • The analysis focused on anonymized query data collected between July 2024 and July 2025.
  • The research aimed to characterize medicine information-seeking behavior in a Low- and Middle-Income Country (LMIC) context.
  • A key objective was to identify potential mismatches between public demand for medicine information and existing essential medicines policy.
  • The study also evaluated the technical performance of the MediVerify system.
  • Queries were normalized and mapped to 11,933 approved medicines.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2609.28946

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Verification ID
ASA-EXE-2026-00806
Version
v1.0 · r0
Issued
25 September 2026
Resource prepared by
Aziz Shuaib Ausi
Resource status
Research Summary / Knowledge Resource
Underlying work
Digital Medicines Information at National Scale: Search Behaviour and System Performance of MediVerify Across 1.5 Million Queries
Original authors
Attribution requires verification
Original source
arXiv — Computers and Society
Provenance status
Attribution requires verification
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