Evidence map›Paper›PMID 34486675›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

The ecosystem of apps and software integrated with certified health information technology.

Wesley Barker, Christian Johnson

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Review
  3. A scoping review of rule-based clinical decision support malfunctions.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Article
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  10. The need for a new generation of digital mental health tools to support more accessible, effective and equitable care.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
    Article
  11. Article
  12. Data saves lives: bottom-up, professionally-led endorsement would increase the chance of success.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    Article
  13. Article
  14. Article
  15. Review
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  18. Progress toward contextualized, persuasive, and integrated consumer information technologies for health.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  19. 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

2 authors.

Wesley BarkerUS Department of Health and Human Services, Office of the National Coordinator for Health Information Technology, Washington, DC, USA.
Christian JohnsonUS Department of Health and Human Services, Office of the National Coordinator for Health Information Technology, Washington, DC, USA.

Funding

ONCHIT HHS
6 · The paper itself

Abstract

objectiveThis study: 1) characterized the app market by EHR app gallery and type of app; 2) tracked changes in the EHR app galleries from the end of 2019 through 2020; and 3) examined how apps connect to EHR data systems, and if the apps support the HL7 FHIR standard. MATERIALS AND

methodsWe developed a program that gathered data from the public app galleries hosted by Allscripts, athenahealth, Cerner Corporation, Epic Systems Corporation, and SMART. Data collection for this study began in December 2019 and ended December 2020. The program was run 11 times during this period, and the data collected were used to generate the findings and trends observed in this study.

resultsThe total number of unique apps increased from 600 to 734 during the study period. The most common types of apps marketed were intended for administrative (42%) and clinical use (38%). About 1 in 5 apps (22%) described support for the FHIR standard. Support for FHIR varied by intended functionality and gallery. DISCUSSION: This study provides early insights into the number of third-party apps that are connecting to EHRs, what services they provide, and if these connections use standards-based application programming interfaces (APIs).

conclusionIt is a federal government priority to improve the access and use of electronic health information, including third-party apps that can introduce competition as well as best-of-breed functions and user experiences. This study shows that there is room for growth, and variation exists among some of the largest EHR developers.

Indexed as

Health Level SevenMedical InformaticsEcosystemElectronic Health RecordsSoftwareAPIsappsFHIRhealth ITinteroperability

Identifiers

PMID34486675
PMCPMC8510286

What OpenQuestion holds

Textmetadata
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.