Prof. Alain Pinsonneault wins Best Paper Award at Hawaii International Conference on System Sciences
Prof. Alain Pinsonneault has won the Best Paper Award, IT in Health Care track, at the Hawaii International Conference on Systems Sciences for his paper entitled, 'The Impact of IT on Quality of Care: Evaluation of an integrated chronic disease management system.' Prof. Pinsonneault was also a Best Paper Nominee, Organizational Systems and Technology track, at the same conference for his paper entitled, 'Conceptualizing the IT artifact via the construct of organizational integration.'
1) The Impact of IT on Quality of Care: Evaluation of an integrated chronic disease management system (Best Paper Award)
Authors: Pinsonneault, A., Dakshinamoorthy, V., Reidel, K., and Tamblyn, R.,
Fragmentation of health care service delivery is one of the main challenges in North American health systems. IT is often seen as a solution to fragmentation in care delivery. In this paper, we study the impact of electronically integrating primary care physicians, specialists, hospitals, and pharmacists, on the quality of care delivered to patients. We hypothesize that an electronically integrated prescription, drug, and disease management system will have both a direct and an indirect effect on quality of care. The results of our study based on data from before and after electronic integration, from a matched set of 15,626 patients with electronic integration and 15, 626 patients in a control group, who visited over 95 physicians in a large North American health network, show that patients treated through the electronically integrated system had better quality of care in the follow-up period and a higher continuity of care, compared to the control group.
2) Conceptualizing the IT artifact via the construct of organizational integration (Best Paper Nominee)
Authors: Pinsonneault, A. and Barki, H.
Drawing on the concept of organizational integration, we developed a typology that allows us to classify organizational IT applications and better understand, explain, and potentially predict their impacts. As a preliminary test of the typology, the empirical evidence of past research on the impacts of IT on organizational performance was reviewed. We classified the organizational IT applications that were studied in previous work according to our proposed typology and compared their results on IT impacts against the impacts hypothesized in our proposed framework. The proposed framework correctly predicted 87% of past significant findings and 51% of the non-significant findings of extant research (the overall prediction rate was 76%). This is a significant improvement in our predictive abilities as none of the latter studies had hypothesized non-significant effects of IT on performance.
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