ArticlePerspectives in health information managemen2019
Big Data Analytics in Healthcare: Investigating the Diffusion of Innovation.
Article in Perspectives in health information managemen, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 21 citations in OpenAlex.
- Assessment of real-world evidence research competencies in federated research networks: a maternal health fellowship program evaluation.JAMIA open · 2026Article
- Outcomes of an Emergency Department opioid alternatives Program implemented within a safety-net hospital system.BMC emergency medicine · 2025Article
- Orthodontic Educational Landscape in the Contemporary Context: Insights from Educators.Seminars in orthodontics · 2024Article
- Uncovering a pseudoscience: an analysis of 'biological dentistry' Instagram posts.Acta odontologica Scandinavica · 2024Article
- The Clinical Researcher Journey in the Artificial Intelligence Era: The PAC-MAN's Challenge.Healthcare (Basel, Switzerland) · 2023Article
- A framework for digital health equity.NPJ digital medicine · 2022Review
- Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case.JMIR medical informatics · 2021Article
- Artificial intelligence and the hunt for immunological disorders.Current opinion in allergy and clinical immunology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The shortage of data scientists has restricted the implementation of big data analytics in healthcare facilities. This survey study explores big data tool and technology usage, examines the gap between the supply and the demand for data scientists through Diffusion of Innovations theory, proposes engaging academics to accelerate knowledge diffusion, and recommends adoption of curriculum-building models. For this study, data were collected through a national survey of healthcare managers. Results provide practical data on big data tool and technology skills utilized in the workplace. This information is valuable for healthcare organizations, academics, and industry leaders who collaborate to implement the necessary infrastructure for content delivery and for experiential learning. It informs academics working to reengineer their curriculum to focus on big data analytics. The paper presents numerous resources that provide guidance for building knowledge. Future research directions are discussed.
Indexed as
Identifiers
31423120PMC6669368W2982561462What 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.