ArticleJournal of the American Medical Informatics Association : JAMIA2013
Using electronic health records to save money.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Cancer Care in Jordan: Multidisciplinary Solutions Needed for Complex Disparities.JCO global oncology · 2025Article
- Methodological issues of the electronic health records' use in the context of epidemiological investigations, in light of missing data: a review of the recent literature.BMC medical research methodology · 2023Review
- Hypertension and Its Associations with Dental Status: Data from the Dental, Oral, Medical Epidemiological (DOME) Nationwide Records-Based Study.Journal of clinical medicine · 2021Article
- The role of medical data in efficient patient care delivery: a review.Risk management and healthcare policy · 2019Review
- A Framework for Performance Comparison among Major Electronic Health Record Systems.Perspectives in health information managemen · 2019Article
- Electronic Medical Records in Greece and Oman: A Professional's Evaluation of Structure and Value.International journal of environmental research and public health · 2018Article
- Clinical and Para Clinical Information Needs of Infertility Electronic Health Records in Iran: A Delphi Study.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2017Article
- Cost-Effectiveness Evaluation of EHR: Simulation of an Abdominal Aortic Aneurysm in the Emergency Department.Journal of medical systems · 2016Article
- Evaluation Study for an ISO 13606 Archetype Based Medical Data Visualization Method.Journal of medical systems · 2015Article
- The journey through grief: insights from a qualitative study of electronic health record implementation.Health services research · 2015Article
- Electronic Health Record Challenges, Workarounds, and Solutions Observed in Practices Integrating Behavioral Health and Primary Care.Journal of the American Board of Family Medicine : JABFMObservational
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesHealth information technology, especially electronic health records (EHRs), can be used to improve the efficiency and effectiveness of healthcare providers. This study assessed the cost-savings of incorporating a list of preferred specialty care providers into the EHRs used by all primary care physicians (PCPs), accompanied by a comprehensive implementation plan.
methodsOn January 1, 2005, all specialty clinic providers at the Israeli Defense Forces were divided into one of four financial classes based on their charges, class 1, the least expensive, being the most preferred, followed by classes 2-4. This list was incorporated into the EHRs used by all PCPs in primary care clinics. PCPs received comprehensive training. Target referral goals were determined for each class and measured for 4 years, together with the total cost of all specialist visits in the first year compared to the following years. Quality assessment (QA) scores were used as a measure of the program's effect on the quality of patient care.
resultsDuring 2005-2008, a marginally significant decline in referrals to class 1 was observed (r=-0.254, p=0.078), however a significant increase in referral rates to class 2 was observed (r=0.957, p=0.042), concurrent with a decrease in referral rates to classes 3 and 4 (r=-0.312, p=0.024). An inverse correlation was observed between year and total costs for all visits to specialists (2008 prices; r=-0.96, p=0.04), and between the mean cost of one specialist visit over the 4 years, indicating a significant reduction in real costs (2008 prices; r=-0.995, p=0.005). QA was not affected by these changes (r=0.94, p=0.016).
conclusionsFrom a policy perspective, our data suggest that EHR can facilitate effective utilization of healthcare providers and decrease costs.
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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.