ArticlePerspectives in health information managemen2015
Patient Matching within a Health Information Exchange.
Article in Perspectives in health information managemen, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- The substance-exposed birthing person-infant/child dyad and health information exchange in the United States.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- A Mortality Surveillance Collaboration Between a Health System and Public Health Department.American journal of public health · 2023Article
- A Privacy-Preserving Distributed Medical Data Integration Security System for Accuracy Assessment of Cancer Screening: Development Study of Novel Data Integration System.JMIR medical informatics · 2022Article
- A process to deduplicate individuals for regional chronic disease prevalence estimates using a distributed data network of electronic health records.Learning health systems · 2022Article
- Article
- Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control.Applied clinical informatics · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this article is to describe the patient matching problems resulting from the Nationwide Health Information Network's automated patient discovery specification and propose a more effective and secure approach for patient matching between health information organizations participating in a health information exchange. This proposed approach would allow the patient to match his or her identity between a health information organization's electronic health records (EHRs) at the same time the patient identifies which EHR data he or she consents to share between organizations. The patient's EHR username/password combination would be the credential used to establish and maintain health information exchange identity and consent data. The software developed to support this approach (e.g., an EHR health information exchange module) could also allow a patient to see what health information was shared when and with whom.
Indexed as
Identifiers
26755901PMC4696093What 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.