Health Systems and Policy Research

  • ISSN: 2254-9137
  • Journal h-index: 10
  • Journal CiteScore: 1.70
  • Journal Impact Factor: 1.84
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
Indexed In
  • China National Knowledge Infrastructure (CNKI)
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
  • Google Scholar
Share This Page
Recommended Webinars & Conferences


Designing a Robust Public Health Management Information System (PHMIS) for Improved Health Outcomes in Lesotho

Litlhokoe Daniel Mohlomi*

The paper presents research findings and recommendations on the study of the phenomenon that, the healthcare service delivery in Lesotho is fragmented and therefore risky to the lives of patients. The research was conducted through interviews and focus group meeting discussions with participants (potential patients, healthcare professionals, and administrators). The results reveal that the challenges encountered by healthcare professionals during the provision of care are mainly caused by the non-sharing of medical records by healthcare facilities. Moreover, the medical records of patients are fragmented. Therefore, during the provision of care, the patient’s medical record is never complete, which increases the chances of medication errors by healthcare professionals. Consequently, the research recommends the design of a web-based, electronic Public Health Management Information System (PHMIS) that should be accessible by authorised, registered, public and private healthcare professionals. The design of a system should adopt technologies and techniques that support sharing of decentralised healthcare services nationwide, within the confines of the laws/policies of the Government of Lesotho. Furthermore, the paper recommends a future study to establish the extent to which Artificial Intelligence (AI) can be used to support the envisaged PHMIS by enhancing healthcare service delivery and medical research.


Healthcare facilities; Healthcare professionals; Medical records; Electronic medical records; Health information system; Health systems fragmentation; Integration; Critical success factors; Healthcare services; Medical information

Published Date: 2023-07-21; Received Date: 2023-06-10