Evidence map›Paper›PMID 23462876›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2013

Using electronic health records to save money.

Yosefa Bar-Dayan, Halil Saed, Mona Boaz, Yehudith Misch, Talia Shahar, Ilan Husiascky, Oren Blumenfeld

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Electronic Medical Records in Greece and Oman: A Professional's Evaluation of Structure and Value.International journal of environmental research and public health · 2018
    Article
  8. 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 · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yosefa Bar-DayanMedical Corps, Israel Defense Forces, Tel Aviv, Israel. bardayan@netvision.net.il
Halil Saed
Mona Boaz
Yehudith Misch
Talia Shahar
Ilan Husiascky
Oren Blumenfeld

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cost SavingsAmbulatory Care FacilitiesElectronic Health RecordsHumanscost-containmentelectronic health recordhealthcareHealth information technologyprimary care physicianreturn on investment

Identifiers

PMID23462876
PMCPMC3715342

What OpenQuestion holds

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Registered trials

None linked

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.