To evaluate the impact of electronic health record (EHR) interoperability on the quality of immunization data in the North Dakota Immunization Information System (NDIIS). NDIIS doses administered data was evaluated for completeness of the patient and dose-level core data elements for records that belong to interoperable and non-interoperable providers. Data was compared at three months prior to electronic health record (EHR) interoperability enhancement to data at three, six, nine and twelve months post-enhancement following the interoperability go live date. Doses administered per month and by age group, timeliness of vaccine entry and the number of duplicate clients added to the NDIIS was also compared, in addition to, immunization rates for children 19 - 35 months of age and adolescents 11 - 18 years of age. Doses administered by both interoperable and non-interoperable providers remained fairly consistent from pre-enhancement through twelve months post-enhancement. Comparing immunization rates for infants and adolescents, interoperable providers had higher rates both pre- and post-enhancement than non-interoperable providers for all vaccines and vaccine series assessed. The overall percentage of doses entered into the NDIIS within one month of administration varied slightly between interoperable and non-interoperable providers; however, there were significant changes between the percentage of doses entered within one day and within one week with the percentage entered within one day increasing and within one week decreasing with interoperability. The number of duplicate client records created by interoperable providers increased from 94 duplicates pre-enhancement to 10,552 at twelve months post-enhancement, while the duplicates from non-interoperable providers only increased from 300 to 637 over the same period. Of the 40 core data elements in the NDIIS, there was some difference in completeness between the interoperable versus non-interoperable providers. Only middle name, sex, county, phone number, mother's maiden name, vaccine manufacturer, lot number and expiration date were significantly (>=5%) different between the two provider groups. Interoperability with provider EHRs has had an impact on NDIIS data quality. Timeliness of data entry has improved and overall doses administered have remained fairly consistent, as have the immunization rates for the providers assessed. There are more technical and non-technical interventions that will need to be accomplished by NDIIS staff and vendor to help reduce the negative impact of duplicate record creation, as well as, data completeness.
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http://dx.doi.org/10.5210/ojphi.v8i2.6380 | DOI Listing |
Stud Health Technol Inform
January 2024
Staff Unit for Medical & Scientific Technology Development & Coordination, Bonn University Hospital, Germany.
To understand and handle the COVID-19 pandemic, digital tools and infrastructures were built in very short timeframes, resulting in stand-alone and non-interoperable solutions. To shape an interoperable, sustainable, and extensible ecosystem to advance biomedical research and healthcare during the pandemic and beyond, a short-term project called "Collaborative Data Exchange and Usage" (CODEX+) was initiated to integrate and connect multiple COVID-19 projects into a common organizational and technical framework. In this paper, we present the conceptual design, provide an overview of the results, and discuss the impact of such a project for the trade-off between innovation and sustainable infrastructures.
View Article and Find Full Text PDFOrphanet J Rare Dis
December 2022
Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Introduction: Rare disease patient data are typically sensitive, present in multiple registries controlled by different custodians, and non-interoperable. Making these data Findable, Accessible, Interoperable, and Reusable (FAIR) for humans and machines at source enables federated discovery and analysis across data custodians. This facilitates accurate diagnosis, optimal clinical management, and personalised treatments.
View Article and Find Full Text PDFJ Am Med Dir Assoc
May 2021
College of Nursing and Health Professions, Drexel University, Philadelphia, PA; College of Computing and Informatics, Drexel University, Philadelphia, PA.
Objectives: Characterize the work that home health care (HHC) admission nurses complete as part of the medication reconciliation tasks, explore the impact of shared electronic medication data (interoperability) from the referral source on medication reconciliation, and highlight opportunities to enhance medication reconciliation with respect to transition in care to HHC agencies.
Design: Observational field study.
Settings And Participants: Three diverse Pennsylvania HHC agencies; each used different electronic health record systems with different interoperability characteristics.
Sensors (Basel)
February 2019
Network Planning and Mobile Communications Lab, University of Cantabria, 39012 Santander, Spain.
Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available. Consequently, service providers can only access vertical data silos that imply high costs and jeopardize their solutions market potential. It is necessary to transform the current situation with competing non-interoperable IoT platforms into a common ecosystem enabling the emergence of cross-platform, cross-standard, and cross-domain IoT services and applications.
View Article and Find Full Text PDFOnline J Public Health Inform
September 2016
North Dakota Department of Health, Division of Disease Control.
To evaluate the impact of electronic health record (EHR) interoperability on the quality of immunization data in the North Dakota Immunization Information System (NDIIS). NDIIS doses administered data was evaluated for completeness of the patient and dose-level core data elements for records that belong to interoperable and non-interoperable providers. Data was compared at three months prior to electronic health record (EHR) interoperability enhancement to data at three, six, nine and twelve months post-enhancement following the interoperability go live date.
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