ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2020
Can Neo4j Replace PostgreSQL in Healthcare?
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 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
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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.
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Who cites it
4 citing papers in PubMed.
- Unlocking electronic health records: a hybrid graph RAG approach to safe clinical AI for patient QA.Frontiers in digital health · 2026Article
- The importance of graph databases and graph learning for clinical applications.Database : the journal of biological databases and curation · 2023Review
- From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights.Journal of medical systems · 2023Article
- Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study.BMC surgery · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our current big data landscape prompts us to develop new analytical skills in order to make the best use of the abundance of datasets at hand. Traditionally, SQL databases such as PostgreSQL have been the databases of choice, and newer graph databases such as Neo4j have been relegated to the analysis of social network and transportation datasets. In this paper, we conduct a side by side comparison of PostgreSQL (using SQL) and Neo4j (using Cypher) using the MIMIC-III patient database as a case study. We found that, while Neo4j is more time intensive to implement, its queries are less complex and have a faster runtime than comparable queries performed in PostgreSQL. This leads to the conclusion that while PostgreSQL is adequate as a database, Neo4j should be considered a viable contender for health data storage and analysis.
Identifiers
32477687PMC7233060What 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.