Factors that promote or inhibit the implementation of e-health systems: an explanatory systematic review
by Frances Mair
Co-authored with: Carl May, Catherine O’Donnell, Tracy Finch, Frank Sullivan & Elizabeth Murray
Objective To systematically review the literature on the implementation of e-health to identify: (1) barriers and... more
Objective To systematically review the literature on the implementation of e-health to identify: (1) barriers and facilitators to e-health implementation, and (2) outstanding gaps in research on the subject.
Methods MEDLINE, EMBASE, CINAHL, PSYCINFO and the Cochrane Library were searched for reviews published between 1 January 1995 and 17 March 2009. Studies had to be systematic reviews, narrative reviews, qualitative metasyntheses or meta-ethnographies of e-health implementation. Abstracts and papers were double screened and data were extracted on country of origin; e-health domain; publication date; aims and methods; databases searched; inclusion and exclusion criteria and number of papers included. Data were analysed qualitatively using normalization process theory as an explanatory coding framework.
Findings Inclusion criteria were met by 37 papers; 20 had been published between 1995 and 2007 and 17 between 2008 and 2009. Methodological quality was poor: 19 papers did not specify the inclusion and exclusion criteria and 13 did not indicate the precise number of articles screened. The use of normalization process theory as a conceptual framework revealed that relatively little attention was paid to: (1) work directed at making sense of e-health systems, specifying their purposes and benefits, establishing their value to users and planning their implementation; (2) factors promoting or inhibiting engagement and participation; (3) effects on roles and responsibilities; (4) risk management, and (5) ways in which implementation processes might be reconfigured by user-produced knowledge.
Conclusion The published literature focused on organizational issues, neglecting the wider social framework that must be considered when introducing new technologies.
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Seen by:Ontology development for health care in India
by Iti Mathur
Co-authored with: Shruti Mathur, Nisheeth Joshi
Multi-view interaction modelling of human collaboration processes: A business process study of head and neck cancer care in a Dutch academic hospital
by Marco Stuit
Marco Stuit, Hans Wortmann, Nick Szirbik, Jan Roodenburg
Journal of Biomedical Informatics, 44(6), pages 1039-1055, 2011.
Digital Gods: the Making of a Medical Fact for Rural Diagnostic Software
by Payal Arora
Chronic shortage of doctors in rural India seriously impacts the quality of healthcare available to villagers. In... more Chronic shortage of doctors in rural India seriously impacts the quality of healthcare available to villagers. In recent years, there has been considerable excitement in digital diagnostics as a possible answer to this situation by allowing non-doctors to diagnose and treat patients. This paper focuses on one such diagnostic tool that has gained serious traction amongst transnational health foundations and State governments alike. Here, the focus is on the customization and localization of this software through a pilot study in Central Himalayas. A baseline survey and extensive interviews are conducted for categorization and population of health data content. This entailed the analyzing of the segmentation and transfer of health information of disease history and symptoms from the patient to the software as well as situating this study in the larger understanding of the healthcare system in this community. In doing so, this paper argues that much of such health information is difficult to categorize and sufficiently vague to provide for confident diagnostics. Further, the data population of the treatment segment is deeply political and socio-cultural. Thereby, this paper problematizes the innate assumption underlying the design of such software- that being that there is one way to diagnose and treat patients based on pure information.
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