ArticleJAMIA open2026
Identifying strategies to leverage electronic health records and health information technology in colorectal cancer screening in primary care clinics.
Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
5 authors.
Funding
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Abstract
Introduction: We report on using electronic health records (EHRs) and other health information technology (IT) (eg, REDCap, Excel, and population-health tools) for tracking patients and managing interventions to improve colorectal screening (CRC) among primary care practices who participated in the National Cancer Institute's Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) program. Methods: We conducted semi-structured, recorded interviews with staff from 7 ACCSIS Research Projects (RPs). Using the interview notes, we conducted content analysis to report on the characteristics of the EHR systems and health IT, and thematic analysis to identify key concepts related to the ability to capture and monitor data for CRC screening. Results: RPs used different data capture models to support EHRs and health IT: (1) Discussion: RPs would benefit from more streamlined data capture and reporting for managing CRC screening in primary care. Efforts reportedly fell onto staff who could have benefited from training around data handling and EHR-specific navigation. Conclusions: RPs experienced challenges in leveraging data capture models for EHR and health IT data management. Our research calls for technical capabilities that promote more efficient data capture and reporting, as well as greater capacity building among clinic staff.
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