Articlenpj health systems2026
Feasibility assessment of an EHR-integrated research platform for prospective data collection in community oncology practice.
Article in npj health systems, 2026. 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
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Post-approval observational studies that rely on traditional data collection approaches may be burdensome for community oncology settings with limited research infrastructure. We conducted a prospective observational study using an EHR-integrated platform to evaluate its feasibility for streamlining data collection in community oncology. We were able to capture high-quality data on infusion-related reactions in patients with multiple myeloma receiving daratumumab. The EHR-integrated platform included centralized patient identification, automated EHR-to-electronic data capture system data transfer, and centralized abstraction services. Over 11 months, 82 patients enrolled at four US community oncology sites, with 30.5% identifying as Black or Hispanic. Across 4568 essential data points: missingness accounted for 0.59%, 91% of data points were eligible for automated transfer, median transfer time for structured data was 1.7 days, and query frequency was <2% with a median resolution time of 5.1 days. This pilot study demonstrated that EHR-integrated platforms can be operationalized in community oncology settings with high data completeness and rapid, diverse enrollment, expanding access to clinical trials outside traditional research centers and producing more generalizable results.
Identifiers
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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.