Background: Vaccination is the effective and long-term pharmacological solution to deal with COVID-19. Information technology (IT) and electronic immunization can be effective in accelerating and improving vaccine coverage. The aim of this paper is to develop multi-dimensional framework of e-health roadmap to response Covod-19 pandemic and examine the role of IT for improving vaccine distribution in Iran.
Methods: The study methodology was based on a two-stage Delphi method which included literature studies at the beginning. Key steps in creating a roadmap in this study include definition, development and evaluation. The initial conceptual model was developed after literature review. Proposed roadmap was reviewed and evaluated in two stages based on the Delphi method by experts in the fields of E-health.
Results: In the e-health roadmap model, 14 stages of vaccine distribution were presented in three phases of vaccination and then were determined the type of technology in each phase. The 4 conceptual models were approved based on the two stages Delphi approach in a survey of 14 e-health experts. In the second phase of the Delphi process, the selected items were sent back to the specialists to verification. Then e-health roadmap was confirmed by experts and was finalized the approved model.
Conclusions: The technology-based roadmap is one plan in the form of a transfer strategy that aligns goals with specific technical solutions and helps to meet them. This roadmap empowers decision makers to decide on alternative paths and achieve goals.
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http://dx.doi.org/10.1186/s12889-021-11419-y | DOI Listing |
Telemed J E Health
December 2024
Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
An Agency for Healthcare Research and Quality-funded Think Tank, held at Michigan State University, brought together a wide range of subject matter experts in telemedicine, telehealth, digital health, digital access, and health care. The authors of this article represented a group focused on the research needs, constructs, and strategies in the post-COVID era. While telemedicine and telehealth grew exponentially during the pandemic, the challenges that have been with us for decades, while ameliorated to some extent, remain.
View Article and Find Full Text PDFLearn Health Syst
October 2024
Office of Research and Development, Veterans Health Administration, U.S. Department of Veterans Affairs Washington DC USA.
Objective: Learning Health Systems (LHSs) have not directly informed evidence-based policymaking. The Translation-to-Policy (T2P) Learning Cycle aligns scientists, end-users, and policymakers to support a repeatable roadmap of innovation and quality improvement to optimize effective policies toward a common public health goal. We describe T2P learning cycle components and provide examples of their application.
View Article and Find Full Text PDFStud Health Technol Inform
September 2024
The Australian e-Health Research Centre, CSIRO, Brisbane, QLD, Australia.
There is growing evidence for the benefits of eHealth interventions with Aboriginal and Torres Strait Islander people. Yet, there is a lack of guidance for culturally safe, relevant, and sustainable initiatives with Aboriginal and Torres Strait Islander peoples and organisations. To this end a research program was established to develop a roadmap for eHealth with Aboriginal and Torres Strait Islander peoples.
View Article and Find Full Text PDFStud Health Technol Inform
July 2024
Department of Nursing Science, University of Turku, Finland.
Common data models provide a standardized way to represent data used in federated learning tasks. The aim of this review was to explore the development and use of common data models to harmonize electronic health record data in health research. The data search yielded 724 records, of which 19 were included for this study.
View Article and Find Full Text PDFMed J Aust
August 2024
Dobney Hypertension Centre, University of Western Australia, Perth, WA.
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