B
Bahlol Rahimi
Researcher at Urmia University of Medical Sciences
Publications - 51
Citations - 951
Bahlol Rahimi is an academic researcher from Urmia University of Medical Sciences. The author has contributed to research in topics: Information system & Health informatics. The author has an hindex of 12, co-authored 47 publications receiving 637 citations. Previous affiliations of Bahlol Rahimi include Linköping University.
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A Systematic Review of the Technology Acceptance Model in Health Informatics.
TL;DR: Telemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period.
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Methods to Evaluate Health information Systems in Healthcare Settings: A Literature Review
Bahlol Rahimi,Vivian Vimarlund +1 more
TL;DR: It is shown that there is no standard framework for evaluation effects and outputs of implementation and use of IT in the healthcare setting and that until today no studies explore the impact of IT on the healthcare system’ productivity and effectiveness.
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Health Information System Implementation: A Qualitative Meta-analysis
TL;DR: It is found that merely implementing an HIS will not automatically increase organizational efficiency and strategic, tactical, and operational actions have to be taken into consideration, including management involvement, integration in healthcare workflow, establishing compatibility between software and hardware and, most importantly, user involvement, education and training.
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Organization-wide adoption of computerized provider order entry systems: a study based on diffusion of innovations theory
TL;DR: It is emphasized that CPOE system designers and healthcare decision-makers should continually collect users' feedback about the systems, while not forgetting that it also is necessary to inform the users about the potential benefits involved.
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The Top 100 Articles in the Medical Informatics: a Bibliometric Analysis
TL;DR: The findings of the current study provide an insight on the frequency of citations for top cited articles published in Medical Informatics as well as quality of the works, journals, and the trends steering Medical Informics.