Evidence map›Paper›PMID 19238894›Full record

ArticleJournal of medical systems2009

Process modeling of ICU patient flow: effect of daily load leveling of elective surgeries on ICU diversion.

Alexander Kolker

Abstract read
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In one paragraph

Article in Journal of medical systems, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
11.4field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 101 citations in OpenAlex.

  1. Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  2. Article
  3. Impact of hospital strain on excess deaths during the COVID-19 pandemic-United States, july 2020-july 2021.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  4. Hospital preparedness during epidemics using simulation: the case of COVID-19.Central European journal of operations research · 2022
    Article
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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

1 author at 1 institution in 1 country.

Alexander KolkerFroedtert Hospital, Milwaukee, WI, USA. alexanderkolker@yahoo.com
Froedtert Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the considerable number of publications on ICU patient flow and analysis of its variability, a basic and practically important question remained unanswered: what maximum number of elective surgeries per day should be scheduled (along with the competing demand from emergency surgeries) in order to reduce diversion in an ICU with fixed bed capacity to an acceptable low level, or prevent it at all? The goal of this work was to develop a methodology to answer this question. An ICU patient flow simulation model was developed to establish a quantitative link between the daily load leveling of elective surgeries (elective schedule smoothing) and ICU diversion. It was demonstrated that by scheduling not more than four elective surgeries per day ICU diversion due to 'no ICU beds' would be practically eliminated. However this would require bumping 'extra' daily surgeries to the block time day of another week which could be up to 2 months apart. Because not all patients could wait that long for their elective surgery, another more practical scenario was tested that would also result in a very low ICU diversion: bumping 'extra' daily elective surgeries within less than 2 weeks apart, scheduling not more than five elective surgeries per day, and strict adherence to the ICU admission/ discharge criteria.

Indexed as

Models, OrganizationalComputer SimulationElective Surgical ProceduresEmergency Service, HospitalHospital Bed CapacityHumansIntensive Care UnitsPatient AdmissionPatient TransferPersonnel Staffing and SchedulingResource Allocation

Identifiers

PMID19238894
OpenAlexW1992047004

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.