ArticleJournal of the American Medical Informatics Association : JAMIA2020
Economic evaluations of big data analytics for clinical decision-making: a scoping review.
Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Medical AI across Data Regimes to Promote Proactive Health.Health data science · 2026Review
- Achieving health equity in immune disease: leveraging big data and artificial intelligence in an evolving health system landscape.Frontiers in big data · 2025Review
- Metacognitive processes, situational factors, and clinical decision-making in nursing education: a quantitative longitudinal study.BMC medical education · 2024Article
- Clinical Care of Hyperthyroidism Using Wearable Medical Devices in a Medical IoT Scenario.Journal of healthcare engineering · 2022Article
- Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research.Computational intelligence and neuroscience · 2022Article
- How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.BMC medical informatics and decision making · 2021Article
- The Clinical Information Systems Response to the COVID-19 Pandemic.Yearbook of medical informatics · 2021Review
- Article
- Optimization of Human Motion Recognition Information Processing System Based on GA-BP Neural Network Algorithm.Computational intelligence and neuroscience · 2021Article
- Human Skeleton Detection and Extraction in Dance Video Based on PSO-Enabled LSTM Neural Network.Computational intelligence and neuroscience · 2021Article
- Construction of Financial Management Early Warning Model Based on Improved Ant Colony Neural Network.Computational intelligence and neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveMuch has been invested in big data analytics to improve health and reduce costs. However, it is unknown whether these investments have achieved the desired goals. We performed a scoping review to determine the health and economic impact of big data analytics for clinical decision-making. MATERIALS AND
methodsWe searched Medline, Embase, Web of Science and the National Health Services Economic Evaluations Database for relevant articles. We included peer-reviewed papers that report the health economic impact of analytics that assist clinical decision-making. We extracted the economic methods and estimated impact and also assessed the quality of the methods used. In addition, we estimated how many studies assessed "big data analytics" based on a broad definition of this term.
resultsThe search yielded 12 133 papers but only 71 studies fulfilled all eligibility criteria. Only a few papers were full economic evaluations; many were performed during development. Papers frequently reported savings for healthcare payers but only 20% also included costs of analytics. Twenty studies examined "big data analytics" and only 7 reported both cost-savings and better outcomes. DISCUSSION: The promised potential of big data is not yet reflected in the literature, partly since only a few full and properly performed economic evaluations have been published. This and the lack of a clear definition of "big data" limit policy makers and healthcare professionals from determining which big data initiatives are worth implementing.
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.