Evidence map›Paper›PMID 29843696›Full record

ArticleBMC medical informatics and decision making2018

Implementation of a patient-facing genomic test report in the electronic health record using a web-application interface.

Marc S Williams, Melissa S Kern, Virginia R Lerch, Jonathan Billet, Janet L Williams, Gregory J Moore

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Using social media listening to understand barriers to genomic medicine for those living with Ehlers-Danlos syndromes and hypermobility spectrum disorders.Health expectations : an international journal of public participation in health care and health policy · 2023
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  10. Calling on Primary Care to Prevent BRCA-Related Cancers.Journal of general internal medicine · 2020
    Article
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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.

Marc S WilliamsGenomic Medicine Institute, Geisinger, 100 North Academy Avenue, Danville, PA, USA. mswilliams1@geisinger.edu.ORCID 0000-0001-6165-8701
Melissa S KernCenter for Pharmacy Innovation and Outcomes, Geisinger, Danville, PA, USA.
Virginia R LerchInstitute for Advanced Application, Geisinger, Danville, PA, USA.
Jonathan BilletInstitute for Advanced Application, Geisinger, Danville, PA, USA.
Janet L WilliamsGenomic Medicine Institute, Geisinger, 100 North Academy Avenue, Danville, PA, USA.
Gregory J MooreInstitute for Advanced Application, Geisinger, Danville, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenomic medicine is emerging into clinical care. Communication of genetic laboratory results to patients and providers is hampered by the complex technical nature of the laboratory reports. This can lead to confusion and misinterpretation of the results resulting in inappropriate care. Patients usually do not receive a copy of the report leading to further opportunities for miscommunication. To address these problems, interpretive reports were created using input from the intended end users, patients and providers. This paper describes the technical development and deployment of the first patient-facing genomic test report (PGR) within an electronic health record (EHR) ecosystem using a locally developed standards-based web-application interface.

methodsA patient-facing genomic test report with a companion provider report was configured for implementation within the EHR using a locally developed software platform, COMPASS™. COMPASS™ is designed to manage secure data exchange, as well as patient and provider access to patient reported data capture and clinical display tools. COMPASS™ is built using a Software as a Service (SaaS) approach which exposes an API that apps can interact with.

resultsAn authoring tool was developed that allowed creation of patient-specific PGRs and the accompanying provider reports. These were converted to a format that allowed them to be presented in the patient portal and EHR respectively using the existing COMPASS™ interface thus allowing patients, caregivers and providers access to individual reports designed for the intended end user.

conclusionsThe PGR as developed was shown to enhance patient and provider communication around genomic results. It is built on current standards but is designed to support integration with other tools and be compatible with emerging opportunities such as SMART on FHIR. This approach could be used to support genomic return of results as the tool is scalable and generalizable.

Indexed as

DisclosureElectronic Health RecordsGenetic TestingMedical Informatics ApplicationsPatient Access to RecordsProfessional-Patient RelationsHumansCommunicationElectronic health recordsGenomicsMedical informatics applicationsPatient access to recordsPatient-centered care

Identifiers

PMID29843696
PMCPMC5975475

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.