ArticleLearning health systems2023
Reflections on defining a standard for computable expression of scientific knowledge: What teach us Yoda can.
Article in Learning health systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Reflections on defining a standard for computable expression of scientific knowledge: What teach us Yoda can.Learning health systems · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Science advances at a slow pace but can be accelerated with a standard for computable expression of scientific knowledge, more precisely a technical standard for electronic data exchange of machine-interpretable data expressing scientific knowledge. Efforts to achieve this vision include Evidence-Based Medicine on Fast Healthcare Interoperability Resources (EBMonFHIR), COVID-19 Knowledge Accelerator (COKA), Computable Publishing LLC, Scientific Knowledge Accelerator Foundation, and the Fast Evidence Interoperability Resources (FEvIR) Platform. The vision for communicating scientific research results to be instantly found, viewed, sent, received, and incorporated into thousands of system is a Just-in-time Evidence Dissemination and Integration (JEDI) vision. Reflections on JEDI teachings in a fun way helps explain the focus on the "Resource" to make science computable, how a precise specification of evidence changes perspectives, the need to reset standard terminologies, the inclusive nature of efforts to achieve the vision, and the critical demand to realize the vision.
Indexed as
Identifiers
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.