Evidence map›Paper›PMID 29998456›Full record

ArticleApplied clinical informatics2018

Creation and Use of an Electronic Health Record Reporting Database to Improve a Laboratory Test Utilization Program.

Danielle E Kurant, Jason M Baron, Genti Strazimiri, Kent B Lewandrowski, Joseph W Rudolf, Anand S Dighe

Abstract read
In one paragraph

Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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

6 authors.

Danielle E KurantDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States.
Jason M BaronDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States.
Genti StrazimiriPartners HealthCare, Boston, Massachusetts, United States.
Kent B LewandrowskiDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States.
Joseph W RudolfDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States.
Anand S DigheDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLaboratory-based utilization management programs typically rely primarily on data derived from the laboratory information system to analyze testing volumes for trends and utilization concerns. We wished to examine the ability of an electronic health record (EHR) laboratory orders database to improve a laboratory utilization program.

methodsWe obtained a daily file from our EHR containing data related to laboratory test ordering. We then used an automated process to import this file into a database to facilitate self-service queries and analysis.

resultsThe EHR laboratory orders database has proven to be an important addition to our utilization management program. We provide three representative examples of how the EHR laboratory orders database has been used to address common utilization issues. We demonstrate that analysis of EHR laboratory orders data has been able to provide unique insights that cannot be obtained by review of laboratory information system data alone. Further, we provide recommendations on key EHR data fields of importance to laboratory utilization efforts.

conclusionWe demonstrate that an EHR laboratory orders database may be a useful tool in the monitoring and optimization of laboratory testing. We recommend that health care systems develop and maintain a database of EHR laboratory orders data and integrate this data with their laboratory utilization programs.

Indexed as

Clinical Laboratory TechniquesDatabases, FactualElectronic Health RecordsResearch DesignHumans

Identifiers

PMID29998456
PMCPMC6041118

What OpenQuestion holds

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Registered trials

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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.