Evidence map›Paper›PMID 20190055›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Bridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness.

Jeffrey M Ferranti, Matthew K Langman, David Tanaka, Jonathan McCall, Asif Ahmad

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Business intelligence tools to optimize the appropriateness of the diagnostic process for clinical and epidemiologic purposes in a multicenter veterinary pathology service.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    Article
  7. Review
  8. IRB Process Improvements: A Machine Learning Analysis.Journal of clinical and translational science · 2017
    Article
  9. Article
  10. Clinical Information Systems - From Yesterday to Tomorrow.Yearbook of medical informatics · 2016
    Review
  11. Article
  12. Article
  13. Semantic ETL into i2b2 with Eureka!AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013
    Article
  14. Clinical use of an enterprise data warehouse.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012
    Article
  15. Quantifying clinical data quality using relative gold standards.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010
    Article
  16. Electronic health records - beyond meaningful use.Applied clinical informatics · 2010
    Article
  17. Comparison of computerized surveillance and manual chart review for adverse events.Journal of the American Medical Informatics Association : JAMIA
    Article
  18. Assessing the Disruption Impact on Healthcare Delivery.Journal of primary care & community health
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jeffrey M FerrantiDepartment of Pediatrics, Duke University Medical Center, Durham, North Carolina 27705, USA. ferra007@mc.duke.edu
Matthew K Langman
David Tanaka
Jonathan McCall
Asif Ahmad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare is increasingly dependent upon information technology (IT), but the accumulation of data has outpaced our capacity to use it to improve operating efficiency, clinical quality, and financial effectiveness. Moreover, hospitals have lagged in adopting thoughtful analytic approaches that would allow operational leaders and providers to capitalize upon existing data stores. In this manuscript, we propose a fundamental re-evaluation of strategic IT investments in healthcare, with the goal of increasing efficiency, reducing costs, and improving outcomes through the targeted application of health analytics. We also present three case studies that illustrate the use of health analytics to leverage pre-existing data resources to support improvements in patient safety and quality of care, to increase the accuracy of billing and collection, and support emerging health issues. We believe that such active investment in health analytics will prove essential to realizing the full promise of investments in electronic clinical systems.

Indexed as

Decision Support Systems, ManagementEfficiency, OrganizationalFinancial ManagementRisk ManagementCost ControlHumansInfluenza VaccinesIntensive Care Units, NeonatalMedication SystemsNorth CarolinaOrganizational Case StudiesUser-Computer InterfaceInfluenza Vaccines

Identifiers

PMID20190055
PMCPMC3000785

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.