ArticleHealth care management science2007
Short term hospital occupancy prediction.
Article in Health care management science, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed.
- Forecasting hospital bed occupancy: a time series approach with prophet.BMC medical informatics and decision making · 2026Article
- Data-driven identification of outpatient-suitable procedures: a machine learning approach.Health care management science · 2026Article
- Feasibility of forecasting future critical care bed availability using bed management data.BMJ health & care informatics · 2024Article
- Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study.JMIR medical informatics · 2024Article
- Entropy Optimization by Redesigning Organization in Hospital Operations.Entropy (Basel, Switzerland) · 2023Article
- Two-Step Approach for Occupancy Estimation in Intensive Care Units Based on Bayesian Optimization Techniques.Sensors (Basel, Switzerland) · 2023Article
- Estimation of Occupancy Using IoT Sensors and a Carbon Dioxide-Based Machine Learning Model with Ventilation System and Differential Pressure Data.Sensors (Basel, Switzerland) · 2023Article
- Modeling COVID-19 hospital admissions and occupancy in the Netherlands.European journal of operational research · 2023Article
- EpiBeds: Data informed modelling of the COVID-19 hospital burden in England.PLoS computational biology · 2022Article
- Airborne infection risk assessment of COVID-19 in an inpatient department through on-site occupant behavior surveys.Journal of building engineering · 2022Article
- Leveraging electronic health record data to inform hospital resource management : A systematic data mining approach.Health care management science · 2021Article
- How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis.JMIR public health and surveillance · 2021Article
- Implication of excessive length of stay of asthma patient with heterogenous status attributed to air pollution.Journal of environmental health science & engineering · 2021Article
- Article
- Symbiotic simulation for the operational management of inpatient beds: model development and validation using Δ-method.Health care management science · 2020Article
- Theoretical bounds and approximation of the probability mass function of future hospital bed demand.Health care management science · 2020Article
- Predicting Intracerebral Hemorrhage Patients' Length-of-Stay Probability Distribution Based on Demographic, Clinical, Admission Diagnosis, and Surgery Information.Journal of healthcare engineering · 2019Article
- Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data.JMIR medical informatics · 2016Article
- Real-time prediction of inpatient length of stay for discharge prioritization.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Cardiac catheterization laboratory inpatient forecast tool: a prospective evaluation.Journal of the American Medical Informatics Association : JAMIA · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inpatient census, or occupancy, is a primary driver of resource use in hospitals. Fluctuations in occupancy complicate decisions related to staffing, bed management, ambulance diversions, and may ultimately impact both quality of patient care and nursing job satisfaction. We describe our approach in building a computerized model to provide short-term occupancy predictions for an entire hospital by nursing unit and shift. Our model is a comprehensive system built using real hospital data and utilizes statistical predictions at the individual patient level. We discuss the results of piloting an early version of the model at a mid-size community hospital. The primary focus of the paper is on the development and methodology of a second generation of the predictive occupancy model. The results and accuracy of this new model is compared to a variety of other predictive methods based on tests using 2 years of actual hospital data.
Indexed as
Identifiers
17323654What 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.