ArticleYearbook of medical informatics2020
International Academy of Health Sciences Informatics (IAHSI): Strategy and Focus Areas, 1st Version.
Article in Yearbook of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Reflections Towards the Future of Medical Informatics.Yearbook of medical informatics · 2023Article
- Identifying a Clinical Informatics or Electronic Health Record Expert Witness for Medical Professional Liability Cases.Applied clinical informatics · 2023Article
- The International Academy of Health Sciences Informatics (IAHSI): 2020 Report.Yearbook of medical informatics · 2021Article
- The International Academy of Health Sciences Informatics (IAHSI): IMIAs Academy is Now Established and on Track.Yearbook of medical informatics · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe International Academy of Health Sciences Informatics (IAHSI) is the Academy of the International Medical Informatics Association (IMIA). As an international forum for peers in biomedical and health informatics, the Academy shall play an important role in exchanging knowledge, providing education and training, and producing policy documents.
objectivesA major priority of the Academy's activities in its inaugural phase was to define its strategy and focus areas in accordance with its objectives and to prioritize the Academy's work, which can then be transferred to respective taskforces.
methodThis document reflects the major outcomes of intensive discussions that occurred during 2019. It was presented at the Academy's 3rd Plenary on August 25th, 2019, in Lyon, France.
resultsRegardless of the 'living nature' of the strategy and focus areas document, it was concluded during the Plenary that the first version, which will be used as a base for decisions on the Academy's future activities, should be made available to a broad audience. Three out of eight 'Visions for IAHSI', presented in the IMIA Yearbook of Medical Informatics 2018, were identified as central for developing, implementing, and evaluating the Academy's strategic directions: (1) advise governments and organizations on developing health and health sciences through informatics, (2) stimulate progress in biomedical and health informatics research, education, and practice, and (3) share and exchange knowledge. Taskforces shall be implemented to work in the following areas, which were considered as priority themes: (1) artificial intelligence in health: future collaboration of entities with natural and with artificial intelligence in health care, and (2) current landscape of standards for digital health.
conclusionsTaskforces are now being established. Besides specific key performance indicators, suggested for monitoring the work of theses taskforces, the strategy to monitor the progress of the Academy itself has to be measured by relevant and acceptable metrics.
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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.