Evidence map›Paper›PMID 33675659›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

A landscape survey of planned SMART/HL7 bulk FHIR data access API implementations and tools.

James Jones, Daniel Gottlieb, Joshua C Mandel, Vladimir Ignatov, Alyssa Ellis, Wayne Kubick, Kenneth D Mandl

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Pathling: analytics on FHIR.Journal of biomedical semantics · 2022
    Article
  13. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  14. Article
  15. The ecosystem of apps and software integrated with certified health information technology.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  16. 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

7 authors.

James JonesComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Daniel GottliebComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Joshua C MandelComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Vladimir IgnatovComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Alyssa EllisComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Wayne KubickHealth Level Seven International, Ann Arbor, Michigan, USA.
Kenneth D MandlComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-9781-0477

Funding

Instrumenting the Delivery System for a Genomics Research Information CommonsU01TR002623 · NCATS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2019 to 2024
$8.6M
NCATS NIH HHS U01 TR002623
6 · The paper itself

Abstract

The Office of National Coordinator for Health Information Technology final rule implementing the interoperability and information blocking provisions of the 21st Century Cures Act requires support for two SMART (Substitutable Medical Applications, Reusable Technologies) application programming interfaces (APIs) and instantiates Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) as a lingua franca for health data. We sought to assess the current state and near-term plans for the SMART/HL7 Bulk FHIR Access API implementation across organizations including electronic health record vendors, cloud vendors, public health contractors, research institutions, payors, FHIR tooling developers, and other purveyors of health information technology platforms. We learned that many organizations not required through regulation to use standardized bulk data are rapidly implementing the API for a wide array of use cases. This may portend an unprecedented level of standardized population-level health data exchange that will support an apps and analytics ecosystem. Feedback from early adopters on the API's limitations and unsolved problems in the space of population health are highlighted.

Indexed as

EcosystemHealth Level SevenElectronic Health RecordsSoftwareSurveys and Questionnairesapplicationshealth information systemmedical informatics

Identifiers

PMID33675659
PMCPMC8661398

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.