An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System

dc.contributor.authorGichoya, Judy
dc.contributor.authorGamache, Roland E.
dc.contributor.authorVreeman, Daniel J.
dc.contributor.authorDixon, Brian E.
dc.contributor.authorFinnell, John T.
dc.contributor.authorGrannis, Shaun
dc.contributor.departmentFamily Medicine, School of Medicine
dc.date.accessioned2025-05-28T10:54:06Z
dc.date.available2025-05-28T10:54:06Z
dc.date.issued2012
dc.description.abstractPatients move across healthcare organizations and utilize services with great frequency and variety. This fact impacts both health information technology policy and patient care. To understand the challenges faced when developing strategies for effective health information exchange, it is important to understand patterns of patient movement and utilization for many healthcare contexts, including managing public-health notifiable conditions. We studied over 10 years of public-health notifiable diseases using the nation's most comprehensive operational automatic electronic laboratory reporting system to characterize patient utilization patterns. Our cohort included 412,699 patients and 833,710 reportable cases. 11.3% of patients had multiple notifiable case reports, and 19.5% had notifiable disease data distributed across 2 or more institutions. This evidence adds to the growing body of evidence that patient data resides in many organizations and suggests that to fully realize the value of HIT in public health, cross-organizational data sharing must be meaningfully incentivized.
dc.eprint.versionFinal published version
dc.identifier.citationGichoya J, Gamache RE, Vreeman DJ, Dixon BE, Finnell JT, Grannis S. An evaluation of the rates of repeat notifiable disease reporting and patient crossover using a health information exchange-based automated electronic laboratory reporting system. AMIA Annu Symp Proc. 2012;2012:1229-1236.
dc.identifier.urihttps://hdl.handle.net/1805/48431
dc.language.isoen_US
dc.publisherAmerican Medical Informatics Association
dc.relation.journalAMIA Annual Symposium Proceedings
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePMC
dc.subjectCommunicable diseases
dc.subjectDisease notification
dc.subjectHealth information management
dc.subjectPopulation surveillance
dc.titleAn Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Gichoya2012Evaluation-CCBY.pdf
Size:
575.01 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.04 KB
Format:
Item-specific license agreed upon to submission
Description: