Evidence map›Paper›PMID 30259195›Full record

ArticleJournal of medical systems2018

Maximizing Patient Coverage Through Optimal Allocation of Residents and Scribes to Shifts in an Emergency Department.

Phichet Wutthisirisart, Gabriela Martinez, Heather A Heaton, Kalyan Pasupathy, Moriah S Thompson, Mustafa Y Sir

Abstract read
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In one paragraph

Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Phichet WutthisirisartMayo Clinic Department of Health Sciences Research, Mayo Clinic Kern Center for the Science of Health Care Delivery, 200 First Street SW, Rochester, MN, 55905, USA.
Gabriela MartinezSiemens Healthineers, Manhasset, NY, USA.
Heather A HeatonMayo Clinic Department of Emergency Medicine, Rochester, MN, USA.
Kalyan PasupathyMayo Clinic Department of Health Sciences Research, Mayo Clinic Kern Center for the Science of Health Care Delivery, 200 First Street SW, Rochester, MN, 55905, USA.
Moriah S ThompsonAerospace Medicine, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Mustafa Y SirMayo Clinic Department of Health Sciences Research, Mayo Clinic Kern Center for the Science of Health Care Delivery, 200 First Street SW, Rochester, MN, 55905, USA. sir.mustafa@mayo.edu.ORCID http://orcid.org/0000-0003-1805-6195

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residents and scribes in an Emergency Department (ED) work closely with an attending physician. Residents care for patients under the supervision of the attending physician, whereas scribes assist physicians with documentation contemporaneously with the patient encounter. Optimal allocation of these roles to shifts is crucial to improve patient care, physician productivity, and to increase learning opportunities for residents. Since resident and scribe availability varies on a monthly basis, the allocation of these roles into different shifts within a pre-designed ED physician shift template must be dynamically adjusted. Using historical patient flow timestamp data as well as information about the patient-coverage capacity of an ED care team, a data-driven model was developed for optimally determining which shifts must be staffed by residents and scribes to maximize patient coverage and to calculate the relative importance of a shift. This relative importance metric aids decision-making in adjusting the allocation of residents and scribes to various shifts as their availability fluctuates. Since the model uses historical timestamp data, which all EDs are mandated to collect, the approach is generalizable to all EDs.

Indexed as

DocumentationEmergency Service, HospitalResource AllocationHumansInternship and ResidencyPhysiciansPatient volumeResidentsScribesStaffing schedulingWorkload

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.