ArticleJournal of registry management2024
Digital Cancer Care and the Vision for Transforming the Quality of Care.
Article in Journal of registry management, 2024. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
National efforts are underway to build a digital health system that can deliver existing knowledge real-time to increase evidence-based clinical decision-making and provide continuous learning models to reduce clinical errors. Electronic medical records and health information exchanges are increasing access to medical records for patients, professionals, and health systems. A next step will be to develop decision-support models with high-quality data from the clinical record. Patient findings that contribute to creating a diagnosis and a therapeutic plan-as well as all relevant outcomes measuring success or failure of such plans-need to be readily available as data to inform models. Registrars have been turning clinical narratives into high-quality standardized and structured data to monitor cancer trends for decades. Despite great success, it would be costly to scale this human-dependent process to include abstraction of all clinical and laboratory findings in real-time. Efforts to structure data after the fact using natural language processing have yielded mixed results. This article posits that cancer registrar professionals might play a new role in advising and assisting in the creation of novel approaches to abstracting high-quality clinical data. This would include building and auditing more standardized and structured clinical records, such as synoptic reports. Furthermore, in the absence of a single, comprehensive national patient registry, cancer registries are probably most qualified to take on the challenge of collecting, storing, and reporting all the additional clinical and biologic cancer data needed to build models that inform individual care and improve the overall quality of care. Improving the quality of patient care is the imperative behind national digital health care efforts. High-quality comprehensive cancer data will be a cornerstone to the success of this effort in oncology. Cancer registries and cancer registrar professionals have a lot to offer in the efforts to close the quality gaps in oncology care.
Indexed as
Identifiers
39897604PMC11781280What Socratic 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 Socratic graph.