ArticleApplied clinical informatics2025
Initial Real-World Pilot of the MedMorph Reference Architecture: Hepatitis C Surveillance and Research.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
objectivesThis study aimed to demonstrate real-world use of the Making Electronic Data More Available for Research and Public Health (MedMorph) Reference Architecture (RA) for automated exchange of hepatitis C-related data for public health surveillance and research using Fast Healthcare Interoperability Resources (FHIR).
methodsPilot participants included a public health authority (PHA), research organization (RO), clinical sites, and electronic health record (EHR) vendors. The RA was tested for hepatitis C public health surveillance and research data exchange. A mixed methods evaluation used multiple data sources to assess impact of the RA compared with usual methods.
resultsAfter implementation of the RA components, there was no burden on clinical staff to report data for public health surveillance or research purposes. Data were successfully transferred and passed from EHR to PHA and RO, which revealed the value of receiving clinical data in addition to laboratory data via electronic laboratory reporting for the PHA and limitations in the Bulk FHIR standard.
conclusionInitial results indicate potential for long-term reduction of level of effort of reporting while improving the availability and completeness of clinical data for public health surveillance and research. Using a FHIR-based approach that aligns with regulatory health information technology certification requirements and existing infrastructure may reduce implementation burden. The MedMorph approach can enhance public health surveillance and research, resulting in improved data completeness and reduced reporting burden through automated data exchange using industry standards. MedMorph will continue to inform Centers for Disease Control and Prevention's Public Health Data Strategy, which provides the agency's direction for data modernization.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.