ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2009
Toward a fully de-identified biomedical information warehouse.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Implementation of data access and use procedures in clinical data warehouses. A systematic review of literature and publicly available policies.BMC medical informatics and decision making · 2020Pooled it
- Operationalizing a research-oriented learning healthcare system across covered entities: cross-institutional strategies and innovations.npj health systems · 2025Article
- The Detection of Date Shifting in Real-World Data.Applied clinical informatics · 2023Article
- Mapping the Flow of Pediatric Trauma Patients Using Process Mining.Applied clinical informatics · 2018Article
- Preserving temporal relations in clinical data while maintaining privacy.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- "The Google of Healthcare": enabling the privatization of genetic bio/databanking.Annals of epidemiology · 2016Review
- A De-identification method for bilingual clinical texts of various note types.Journal of Korean medical science · 2015Article
- Genetic data sharing and privacy.Neuroinformatics · 2015Article
- Article
- Characteristics desired in clinical data warehouse for biomedical research.Healthcare informatics research · 2014Article
- Building blocks for a clinical imaging informatics environment.Journal of digital imaging · 2014Article
- Lessons Learned from Development of De-identification System for Biomedical Research in a Korean Tertiary Hospital.Healthcare informatics research · 2013Article
- Radiomics: the process and the challenges.Magnetic resonance imaging · 2012Review
- Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness research.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Clinical use of an enterprise data warehouse.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Information Warehouse at the Ohio State University Medical Center is a comprehensive repository of business, clinical, and research data from various source systems. Data collected here is a valuable resource that facilitates both translational research and personalized healthcare. The use of such data in research is governed by federal privacy regulations with oversight by the Institutional Review Board. In 2006, the Information Warehouse was recognized by the OSU IRB as an "Honest Broker" of clinical data, providing investigators with de-identified or limited datasets under stipulations contained in a signed data use agreement. In order to streamline this process even further, the Information Warehouse is developing a de-identified data warehouse that is suitable for direct user access through a controlled query tool that is aimed to support both research and education activities. In this paper we report our findings on performance evaluation of different de-identification schemes that may be used to ensure regulatory compliance while also facilitating practical database updating and querying. We also discuss how date-shifting in the de-identification process can impact other data elements such as diagnosis and procedure codes and consider a possible solution to those problems.
Indexed as
Identifiers
20351882PMC2815386W1715893944What 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.