ArticlePloS one2018
Analysis of length of hospital stay using electronic health records: A statistical and data mining approach.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05778487 (The Effects of Preoperative Carbohydrate Loading on Elderly Patients Undergoing Orthopaedic Spine Surgery - A CSORN Study), which is not on this map. Cited by 125 papers, 4 of them syntheses that pooled it.
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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.
The Effects of Preoperative Carbohydrate Loading on Elderly Patients Undergoing Orthopaedic Spine Surgery - A CSORN Study
Who cites it
125 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The impact of surgical trainee involvement in total hip arthroplasty: a systematic review of surgical efficacy, patient safety, and outcomes.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2023Pooled it
- Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- Virtual surgical planning in orthognathic surgery with the use of patient-specific plates compared with conventional plates. A systematic review focusing on complications, financial expenses, professional and patient-reported outcome measures.Medicina oral, patologia oral y cirugia bucal · 2022Pooled it
- Machine learning and artificial intelligence in cardiac transplantation: A systematic review.Artificial organs · 2022Pooled it
- Effect of digital tools to promote hospital quality and safety on adverse events after discharge.Journal of the American Medical Informatics Association : JAMIA · 2024Trial
- Robustness of zero truncated negative binomial models over traditional models with application to analysing factor association to length of ICU stay in a middle-income country.BMC research notes · 2026Article
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- Postoperative hospital stay and associated factors among adult surgical patients at a specialized hospital in Ethiopia.BMC surgery · 2025Article
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- Clinical Outcomes Associated with Parenteral Nutrition Caloric Provision in Geriatric Patients with Infectious Colitis.Nutrients · 2025Observational
- Prediction of prolonged length of stay from first 2 days of hospitalization data: a SHAP value-based variable selection method for a simplified model.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025Article
- Short-midterm outcomes of preoperative extrauterine growth restriction in premature infants with critical congenital heart disease after surgery.BMC pediatrics · 2025Article
- Factors influencing hospital length of stay in febrile neutropenia: A retrospective cohort study of Turkish patients with solid tumors.Medicine · 2025Observational
- Inpatient Child and Adolescent Psychiatry Youth with Autism and/or Intellectual Disabilities: Clinical Characteristics and Considerations.Journal of autism and developmental disorders · 2025Article
- Strategies to Reduce Hospital Length of Stay: Evidence and Challenges.Medicina (Kaunas, Lithuania) · 2025Review
- Quadriceps muscle thickness as measured by point-of-care ultrasound is associated with hospital length of stay among hospitalised older patients.Age and ageing · 2025Article
- A comparative study of neuro-fuzzy and neural network models in predicting length of stay in university hospital.BMC health services research · 2025Article
- Development of Multiservice Machine Learning Models to Predict Postsurgical Length of Stay and Discharge Disposition at the Time of Case Posting.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025Article
- Care coordination and patient safety outcome: a graph-based approach.npj health systems · 2025Article
- Modelling in-hospital length of stay: A comparison of linear and ensemble models for competing risk analysis.PloS one · 2025Article
65 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe length of stay (LOS) is an important indicator of the efficiency of hospital management. Reduction in the number of inpatient days results in decreased risk of infection and medication side effects, improvement in the quality of treatment, and increased hospital profit with more efficient bed management. The purpose of this study was to determine which factors are associated with length of hospital stay, based on electronic health records, in order to manage hospital stay more efficiently. MATERIALS AND
methodsResearch subjects were retrieved from a database of patients admitted to a tertiary general university hospital in South Korea between January and December 2013. Patients were analyzed according to the following three categories: descriptive and exploratory analysis, process pattern analysis using process mining techniques, and statistical analysis and prediction of LOS.
resultsOverall, 55% (25,228) of inpatients were discharged within 4 days. The department of rehabilitation medicine (RH) had the highest average LOS at 15.9 days. Of all the conditions diagnosed over 250 times, diagnoses of I63.8 (cerebral infarction, middle cerebral artery), I63.9 (infarction of middle cerebral artery territory) and I21.9 (myocardial infarction) were associated with the longest average hospital stay and high standard deviation. Patients with these conditions were also more likely to be transferred to the RH department for rehabilitation. A range of variables, such as transfer, discharge delay time, operation frequency, frequency of diagnosis, severity, bed grade, and insurance type was significantly correlated with the LOS.
conclusionsAccurate understanding of the factors associating with the LOS and progressive improvements in processing and monitoring may allow more efficient management of the LOS of inpatients.
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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.