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Are medical outliers associated with worse patient …

    https://bmjopen.bmj.com/content/7/5/e015676
    The phenomenon of medical outliers is more common in publicly funded health systems.13 It has been observed in England, Wales, Spain, France, Italy, Sweden, Australia and New Zealand, but as it has not been extensively researched there is scarce good-quality evidence available.1 2 9 13–21 In England’s NHS it is an issue often documented in internal hospital reports, with some organisations having put in place standard operating procedures and process pathways indicating when a patient ...

Medical outliers – a ‘wicked’ problem | RCP Journals

    https://www.rcpjournals.org/content/futurehosp/6/Suppl_2/67
    The Royal College of Physicians (RCP) guidance on safe medical staffing was used as a template. 2 Key areas in need of improvement were identified and …

Univariate Outliers: A Conceptual Overview for the Nurse …

    https://pubmed.ncbi.nlm.nih.gov/29969044/
    If ignored or improperly handled, outliers have the potential to distort the estimate of the parameter of interest and thus compromise the generalizability of research findings. A …

What Quality and Safety of Care for Patients Admitted to …

    https://link.springer.com/article/10.1007/s11606-019-05008-4
    The study by Lepage et al. 14 identified five domains of potential failure in the management of outliers: care in emergency department, transfer to the outlying …

The increasing impact of length of stay “outliers” on …

    https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-021-06972-6
    Outlier cases increased both in number (from 297 to 412) and as a percent of total discharges (0.98 to 1.56%), and outlier patient days increased from 6.7 to 9.8% of …

Are medical outliers associated with worse patient …

    https://pubmed.ncbi.nlm.nih.gov/28490563/
    A medical outlier is a hospital inpatient who is classified as a medical patient for an episode within a spell of care and has at least one non-medical ward placement …

(PDF) A Systematic Review of Outliers …

    https://www.researchgate.net/publication/221334605_A_Systematic_Review_of_Outliers_Detection_Techniques_in_Medical_Data_-_Preliminary_Study
    Outlier Detection and Removal Algorithm in K-Means and Hierarchical Clustering Article Full-text available Aug 2017 Lopamudra Dey Anwesha Barai View Show …

Guidelines for Removing and Handling …

    https://statisticsbyjim.com/basics/remove-outliers/
    Outliers can be very informative about the subject-area and data collection process. It’s essential to understand how outliers occur and whether they might …

Identification of Outliers in Medical …

    http://article.sapub.org/10.5923.j.statistics.20140406.01.html
    Outlier detection is a very important concept in the medical data analysis. The complex relationships that appear with regard to diabetic symptoms of the patient, …

Detecting and Treating Outliers | How to …

    https://www.analyticsvidhya.com/blog/2021/05/detecting-and-treating-outliers-treating-the-odd-one-out/
    Median is used if there is an outlier in the dataset. Mode is used if there is an outlier AND about ½ or more of the data is the same. ‘Mean’ is the only measure …



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