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PRISM framework

A paradigm shift for designing, strengthening and evaluating routine health information systems

Bibliographic Data

ID11491950
AuthorsAnushka Aqil (0000-0001-8237-6420, In-Q-Tel, corresponding author), Theo Lippeveld (John Snow (United States)), D Hozumi (Program for Appropriate Technology in Health)
Year2009
Volume24
Issue3
Pages217-228
Publication date2009-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Policy and Planning (JOURNAL)
Journal identifiersISSN: 0268-1080 • E-ISSN: 1460-2237
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/heapol/czp010
PMID19304786
PMCIDPMC2670976
OpenAlexW2126983401
LanguageEN
Citations received55
References cited30

The utility and effectiveness of routine health information systems (RHIS) in improving health system performance in developing countries has been questioned. This paper argues that the health system needs internal mechanisms to develop performance targets, track progress, and create and manage knowledge for continuous improvement. Based on documented RHIS weaknesses, we have developed the Performance of Routine Information System Management (PRISM) framework, an innovative approach to design, strengthen and evaluate RHIS. The PRISM framework offers a paradigm shift by putting emphasis on RHIS performance and incorporating the organizational, technical and behavioural determinants of performance. By describing causal pathways of these determinants, the PRISM framework encourages and guides the development of interventions for strengthening or reforming RHIS. Furthermore, it conceptualizes and proposes a methodology for measuring the impact of RHIS on health system performance. Ultimately, the PRISM framework, in spite of its challenges and competing paradigms, proposes a new agenda for building and sustaining information systems, for the promotion of an information culture, and for encouraging accountability in health systems.

Accountability · Business · Knowledge management · Paradigm shift · Political science · Prism · Process management · Public health · Big Data and Business Intelligence · Computer Science · Electronic Health Records Systems · Health Informatics · Medicine · Mobile Health and mHealth Applications · Nursing

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Unique citing works55
Citations per year3,24
Citation span2009 - 2026 (18)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 50
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