A minimal e-referral for meaningful share of maternal health information in public health scenarios

Rohini R. Rao, Krishnamoorthi Makkithaya, Veena G. Kamath, Reena Cordeiro

Research output: Contribution to journalArticle

Abstract

Primary health centres (PHCs) across India provide antenatal, delivery and postnatal healthcare to expecting mothers. In case the expecting mother suffers from a pregnancy-related medical condition that cannot be treated at the PHC, she is referred to the nearest specialist or secondary hospital. The objective of this paper is to present a minimal, affordable and interoperable extensible markup language (XML)-based electronic referral (e-referral) prototype. The e-referral system transfers patient information from the PHC to a specialist at any hospital, for pregnancy-related medical problems. A subject matter expert (SME) panel was formed to identify the minimal dataset and an optimal format for e-referrals in the maternal use case. The data quality of the proposed e-referral information was measured. The e-referral data structures were proven to be complete. The interoperability level achieved by the e-referral prototype was quantified. The minimal e-referral is human processable or syntactically interoperable. The XML-based e-referral data can be very easily integrated with existing hospital information systems.

Original languageEnglish
Pages (from-to)142-162
Number of pages21
JournalInternational Journal of Electronic Healthcare
Volume8
Issue number2-4
DOIs
Publication statusPublished - 2015

All Science Journal Classification (ASJC) codes

  • Health Policy
  • Health Informatics

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