ArticleBMC medical informatics and decision making2018
Implementation of informatics for integrating biology and the bedside (i2b2) platform as Docker containers.
Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- i2b2-ML: module to facilitate machine learning in the informatics for integrating biology and the bedside platform.JAMIA open · 2026Article
- How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned.Orphanet journal of rare diseases · 2024Article
- Integrating row level security in i2b2: segregation of medical records into data marts without data replication and synchronization.JAMIA open · 2023Article
- I2b2-etl: Python application for importing electronic health data into the informatics for integrating biology and the bedside platform.Bioinformatics (Oxford, England) · 2022Article
- Use of automatic SQL generation interface to enhance transparency and validity of health-data analysis.Informatics in medicine unlocked · 2022Article
- Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group.Journal of medical Internet research · 2021Review
- Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation.JMIR medical informatics · 2020Article
- Cloud Services for Patient Cohort Identification Using the Informatics for Integrating Biology and the Bedside Platform.BioMed research international · 2020Article
- A Method for Integrating Healthcare Provider Organization and Research Sponsor Systems and Workflows to Support Large-Scale Studies.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Extending i2b2 into a framework for semantic abstraction of EHR to facilitate rapid development and portability of Health IT applications.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Automated Population of an i2b2 Clinical Data Warehouse using FHIR.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundInformatics for Integrating Biology and the Bedside (i2b2) is an open source clinical data analytics platform used at over 200 healthcare institutions for querying patient data. The i2b2 platform has several components with numerous dependencies and configuration parameters, which renders the task of installing or upgrading i2b2 a challenging one. Even with the availability of extensive documentation and tutorials, new users often require several weeks to correctly install a functional i2b2 platform. The goal of this work is to simplify the installation and upgrade process for i2b2. Specifically, we have containerized the core components of the platform, and evaluated the containers for ease of installation.
resultsWe developed three Docker container images: WildFly, database, and web, to encapsulate the three major deployment components of i2b2. These containers isolate the core functionalities of the i2b2 platform, and work in unison to provide its functionalities. Our evaluations indicate that i2b2 containers function successfully on the Linux platform. Our results demonstrate that the containerized components work out-of-the-box, with minimal configuration.
conclusionsContainerization offers the potential to package the i2b2 platform components into standalone executable packages that are agnostic to the underlying host operating system. By releasing i2b2 as a Docker container, we anticipate that users will be able to create a working i2b2 hive installation without the need to download, compile, and configure individual components that constitute the i2b2 cells, thus making this platform accessible to a greater number of institutions.
Indexed as
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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.