ArticleApplied clinical informatics2012
Use of more than one electronic medical record system within a single health care organization.
Article in Applied clinical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Leveraging Real-World Data for Clinical Decision Making in Geriatric Oncology.Drugs & aging · 2026Review
- Ten tips to carry out video consultations in nephrology.Clinical kidney journal · 2024Review
- Potential Benefits of Non-Fungible Tokens (NFTs) and Blockchain Technology in Dermatology.Dermatology practical & conceptual · 2024Article
- From "Local Control" to "Dependency": Transitions to Single-Vendor Integrated Electronic Health Record Systems and Their Implications for the EHR Workforce.Journal of general internal medicine · 2023Article
- Decreasing Racial Disparities in Preventable Emergency Department Visits Through Hospital Health Information Technology Patient Engagement Functionalities.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023Observational
- Perspectives on Challenges and Opportunities for Interoperability: Findings From Key Informant Interviews With Stakeholders in Ohio.JMIR medical informatics · 2023Article
- The Utility of Oncology Information Systems for Prognostic Modelling in Head and Neck Cancer.Journal of medical systems · 2023Article
- Article
- Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Single-Vendor Electronic Health Record Use Is Associated With Greater Opportunities for Organizational and Clinical Care Improvements.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022Article
- Infobuttons for Genomic Medicine: Requirements and Barriers.Applied clinical informatics · 2021Article
- Status of health information exchange: a comparison of six countries.Journal of global health · 2019Article
- Health systems' use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Qualitative study exploring the phenomenon of multiple electronic prescribing systems within single hospital organisations.BMC health services research · 2018Article
- Hospitals' adoption of intra-system information exchange is negatively associated with inter-system information exchange.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Enhancing a Commercial EMR with an Open, Standards-Based Publish-Subscribe Infrastructure.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- A rational approach to legacy data validation when transitioning between electronic health record systems.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016Review
- From bed to bench: bridging from informatics practice to theory: an exploratory analysis.Applied clinical informatics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Healthcare organizations vary in the number of electronic medical record (EMR) systems they use. Some use a single EMR for nearly all care they provide, while others use EMRs from more than one vendor. These strategies create a mixture of advantages, risks and costs. Based on our experience in two organizations over a decade, we analyzed use of more than one EMR within our two health care organizations to identify advantages, risks and costs that use of more than one EMR presents. We identified the data and functionality types that pose the greatest challenge to patient safety and efficiency. We present a model to classify patterns of use of more than one EMR within a single healthcare organization, and identified the most important 28 data types and 4 areas of functionality that in our experience present special challenges and safety risks with use of more than one EMR within a single healthcare organization. The use of more than one EMR in a single organization may be the chosen approach for many reasons, but in our organizations the limitations of this approach have also become clear. Those who use and support EMRs realize that to safely and efficiently use more than one EMR, a considerable amount of IT work is necessary. Thorough understanding of the challenges in using more than one EMR is an important prerequisite to minimizing the risks of using more than one EMR to care for patients in a single healthcare organization.
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What 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.