ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
Integrating a Federated Healthcare Data Query Platform With Electronic IRB Information Systems.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record.The American journal of cardiology · 2023Review
- A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics.Journal of biomedical informatics · 2014Article
- Federated querying architecture with clinical & translational health IT application.Journal of medical systems · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Human subjects are indispensable for clinical and translational research. Federal and local agencies issue regulations governing the conduct of research involving human subjects in order to properly protect study participants. Institutional Review Boards (IRBs) have the authority to review human subject research to ensure concordance with these regulations. One of the primary goals of the IRB oversight is to protect research participants' privacy by carefully reviewing the data used and disclosed during a study. However, there are major challenges for IRBs in the typical research process. Due to the information disconnect between the data providers (e.g., a clinical data warehouse) and the IRB, it is often impossible to tell exactly what data has been disclosed to investigators. This causes time-consuming, inefficient, and often ineffective monitoring of clinical studies. This paper proposes an integrated architecture that interconnects a federated healthcare data query platform with an electronic IRB system.
Indexed as
Identifiers
21346987PMC3041360What 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.