ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2019
Disseminating Research Outputs: The CrowdHEALTH Project.
Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Health Professionals' Perception about Big Data Technology in Greece.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Advanced Interoperability Techniques: Structure Mapping Service in CrowdHEALTH Project.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Modelling and Evaluation of Policies.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Health in All Policy Making Utilizing Big Data.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
- Classification Techniques for Cardio-Vascular Diseases Using Supervised Machine Learning.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2020Article
- Evidence-based Public Health Policy Models Development and Evaluation using Big Data Analytics and Web Technologies.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDissemination benefits come from the outputs integration and implementation by the key audience, who will also determine the relevance and usability of the disseminated content.
aimOne of the CrowdHEALTH project's objectives is the transition from patient health records towards the Holistic Health Records (HHRs) and Social HHR. The CrowdHEALTH project aims at integrating high volumes of health-related data collected from various sources to support policy-making decisions.
methodsThe European Federation for Medical Informatics (EFMI) supports the development of an effective Communication and Collaboration Plan identifying the messages, the tools and channels in disseminating the project and its outcomes to the target audience based on the McGuire approach.
resultsThe process for defining the dissemination strategy is a cyclic one as shown in the following figure involving review of each step periodically The next step was to define the four dimension dissemination approach based on McGuire attributes of persuasive communication. The objectives, target groups, key messages, the tools and channels where defined at this stage.
conclusionThe CrowdHEALTH project and its outcomes were disseminated with a variety of tools and channels such as scientific journals, conferences, exhibitions and social media communication.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.