Evidence map›Paper›PMID 22127563›Full record

ArticleHealth care management science2012

Modeling and analysis of work flow and staffing level in a computed tomography division of University of Wisconsin Medical Foundation.

Junwen Wang, Shichuan Quan, Jingshan Li, Amy M Hollis

Abstract read
PubMed Publisher
In one paragraph

Article in Health care management science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Junwen WangDepartment of Industrial and Systems Engineering, University of Wisconsin, Madison, WI 53706, USA. junwen@engr.wisc.edu
Shichuan Quan
Jingshan Li
Amy M Hollis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a Markov chain model is developed to model the work flow in a computed tomography (CT) imaging department at University of Wisconsin Medical Foundation. Using this model, we estimate the patient length of stay and investigate different configurations of radiology specialists for potential efficiency improvement to reduce flow time and cost. What-if analysis is carried out to investigate the impact of various staffing levels and sensitivity study is used to identify the bottleneck operation, i.e., the most impeding one whose improvement can lead to the highest productivity increase.

Indexed as

Efficiency, OrganizationalModels, StatisticalWorkflowAcademic Medical CentersHumansMarkov ChainsPersonnel Staffing and SchedulingRadiology Department, HospitalTask Performance and AnalysisTomography, X-Ray ComputedWisconsin

Identifiers

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.