Evidence map›Paper›PMID 40424614›Full record

ArticleJMIR medical informatics2025

Identifying and Optimizing Factors Influencing the Implementation of a Fast Healthcare Interoperability Resources Accelerator: Qualitative Study Using the Consolidated Framework for Implementation Research-Expert Recommendations for Implementing Change Approach.

Jane Li, Emma Maddock, Michael Hosking, Kate Ebrill, Jeremy Sullivan, Kylynn Loi, Danielle Tavares-Rixon, Rajiv Jayasena, Grahame Grieve, Alana Delaforce

Abstract read
In one paragraph

Article in JMIR medical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Jane LiAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0000-0002-2936-2318
Emma MaddockAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0009-0006-1069-1142
Michael HoskingAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0009-0004-9285-4456
Kate EbrillAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0009-0005-7266-8098
Jeremy SullivanAustralian Government Department of Health, Disability and Ageing, Canberra, Australia.ORCID https://orcid.org/0009-0002-0146-7027
Kylynn LoiAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0009-0007-7503-4722
Danielle Tavares-RixonAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0009-0005-9066-1607
Rajiv JayasenaAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0000-0003-4943-8524
Grahame GrieveHealth Intersections Pty Ltd, Melbourne, Australia.ORCID https://orcid.org/0000-0003-3438-2759
Alana DelaforceAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0000-0002-3931-2875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFragmented sharing of health information is known to negatively impact patient care and outcomes. To support the sharing of health information between systems, Fast Healthcare Interoperability Resources (FHIR) has emerged as the global interoperability standard for health information exchange. To speed up the process of adoption, various FHIR accelerator groups have been formed. FHIR accelerators such as the Sparked program in Australia enable communities and collaborative groups to develop high-quality FHIR standards for health care information exchange and encourage widespread uptake. However, limited research exists on the development, delivery, and implementation of FHIR accelerator programs.

objectiveThis study used qualitative methods to identify the key components of the Sparked FHIR accelerator, what factors influence implementation, and which strategies may help enhance its delivery.

methodsSemistructured interviews were conducted with Sparked stakeholders in the early stage of the program. The Sparked FHIR accelerator intervention components were described using a standardized reporting checklist (Template for Intervention Description and Replication). The Consolidated Framework for Implementation Research (CFIR) 2.0 was used to analyze factors influencing implementation. On the basis of a cumulative majority analysis, the most mentioned factors influencing implementation were identified. These factors were then mapped to the Expert Recommendations for Implementing Change (ERIC) tool to identify strategies for enhancing the implementation of the Sparked program.

resultsA total of 17 participants were interviewed, including program leads, cochairs, representatives of software industry implementers, clinicians, and consumers. In total, 8 key CFIR influencing factors were identified: engaging, innovation design, assessing needs, local conditions, access to knowledge and information, partnerships and connections, capability, and work infrastructure. After mapping the top CFIR influencing factors to the ERIC tool, 5 strategy clusters were identified: adapt and tailor to context, develop stakeholder interrelations, support participants, train and educate stakeholders, and use evaluative and iterative strategies.

conclusionsThis study enabled the core components of the Sparked FHIR accelerator to be defined and identified the factors that have the strongest influence on program implementation. Using the CFIR-ERIC approach facilitated the generation of expert-informed recommendations for improving the implementation of Sparked, but researcher recommendations were needed to supplement the tool. This research offers valuable insights for decision makers and implementers.

Indexed as

Health Information ExchangeHealth Information InteroperabilityAustraliaHumansQualitative ResearchConsolidated Framework for Implementation Researchdigital healthExpert Recommendations for Implementing ChangeFast Healthcare Interoperability Resources acceleratorFHIR acceleratorimplementation enhancement planinteroperability standardsSparked

Identifiers

PMID40424614
PMCPMC12152436

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.