ReviewHealthcare informatics research2014
Free/Libre open source software in health care: a review.
Review in Healthcare informatics research, 2014. 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.
- Building and Sustaining Open-Source Medical Device Projects.IEEE transactions on bio-medical engineering · 2025Review
- Web-Based DICOM Viewers: A Survey and a Performance Classification.Journal of imaging informatics in medicine · 2025Article
- Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system.Scientific reports · 2024Article
- Synaptonemal & CO analyzer: A tool for synaptonemal complex and crossover analysis in immunofluorescence images.Frontiers in cell and developmental biology · 2023Article
- Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges.JMIR formative research · 2022Article
- Leveraging Data Science for a Personalized Haemodialysis.Kidney diseases (Basel, Switzerland) · 2020Review
- Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria.Healthcare informatics research · 2019Article
- Advantages and Disadvantages in Image Processing with Free Software in Radiology.Journal of medical systems · 2018Article
- Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review.JMIR medical informatics · 2017Review
- The State of Open Source Electronic Health Record Projects: A Software Anthropology Study.JMIR medical informatics · 2017Article
- Open-source LIMS in Vietnam: The path toward sustainability and host country ownership.International journal of medical informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo assess the current state of the art and the contribution of Free/Libre Open Source Software in health care (FLOSS-HC).
methodsThe review is based on a narrative review of the scientific literature as well as sources in the context of FLOSS-HC available through the Internet. All relevant available sources have been integrated into the MedFLOSS database and are freely available to the community.
resultsThe literature review reveals that publications about FLOSS-HC are scarce. The largest part of information about FLOSS-HC is available on dedicated websites and not in the academic literature. There are currently FLOSS alternatives available for nearly every specialty in health care. Maturity and quality varies considerably and there is little information available on the percentage of systems that are actually used in health care delivery.
conclusionsThe global impact of FLOSS-HC is still very limited and no figures on the penetration and usage of FLOSS-HC are available. However, there has been a considerable growth in the last 5 to 10 years. While there where only few systems available a decade ago, in the meantime many systems got available (e.g., more than 300 in the MedFLOSS database). While FLOSS concepts play an important role in most IT related sectors (e.g., telecommunications, embedded devices) the healthcare industry is lagging behind this trend.
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.