ArticleJournal of the Society for Clinical Data Management2023
Geographic Information Systems as Data Sharing Infrastructure for Clinical Data Warehouses.
Article in Journal of the Society for Clinical Data Management, 2023. 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
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
4 citing papers in PubMed.
- Spatio-Temporal Modeling for Multi-County Opioid Overdose Surveillance: A Unified Graph Convolutional Framework.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Article
- Geospatial Imprecision With Constraints for Precision Public Health: Algorithm Development and Validation.Online journal of public health informatics · 2024Article
- Compliance considerations in the geo-enrichment of an EHR data warehouse with social and environmental determinants of health.Journal of clinical and translational science · 2024Article
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
Abstract
Introduction: The sharing of patient location data is heavily regulated by laws that protect patient privacy and by institutional review boards that are designed to protect the rights and wellbeing of human subjects. Patient location data has incredible value for research due to environmental social determinants of health that heavily influence patient outcomes. The misalignment of sensitivity and utility creates a barrier for researchers that wish to understand the impact of neighborhood-level social determinants of health (SDOH) on health outcomes. Objectives: We describe data warehousing solutions for the safe and ethical enhancement of patient location data; these enhancements will enable easier data sharing. Methods: We deploy geographic information systems (GIS) as a complementary data warehousing service that imports patient addresses, processes the data, and returns results back to the warehouse for others to use and disseminate. Results: We processed 1.3 million patients and added facets about their location to our data warehouse, where they may later be requested for research. We further added de-identified information about the demographics of patient locations from the United States Census Bureau, which assists researchers in understanding the impact of location-driven SDOH. Conclusions: GIS support is a necessary component of a clinical data warehouse and sharing derived, de-identified data is both feasible and useful for research. Open-source software lowers the barrier of adoption and the cost associated with deriving these contextual data points.
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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.