The ability to predict the length of hospital stay allows for better planning and cost reduction. But what does it take to develop such a solution? Let's see.
Accurate calculation of hospital length of stay (LOS) from the English Hospital Episode Statistics (HES) is important for a wide range of audit and research purposes. The two methodologies which are commonly used to achieve this differ in their accuracy and complexity. We compare these methods ...
Free Essay: 3.4.4. Patients total Length of stay in the hospital Patient’s length of stay needs to be accurately evaluated to build a complete and accurate...
In this study we present a method to make a realistic calculation of the potential reduction of hospital days. We will assess the development of lengths of stay in Dutch hospitals and calculate the potential reduction of length of stay if all hospitals would work as efficiently as the benchmark...
“Automated activation of the RRT by Masimo Patient SafetyNet applied to medical ward patients significantly reduced CPR events and rates, reduced hospital length of stay, and increased the number of RRT activations. There was no difference in the ICU admission rates. Further evaluation of the ...
BMC Health Services Research (2021) 21:940 https://doi.org/10.1186/s12913-021-06972-6 RESEARCH Open Access The increasing impact of length of stay "outliers" on length of stay at an urban academic hospital Andrew H. Hughes1,2*, David Horrocks Jr2, Curtis Leung2, Melissa B. Richardson2...
Let’s walk through the process of calculating the average length of stay in Excel using a step-by-step guideline: Step 1 – Insert In and Out Dates Consider a hypothetical scenario where we have data records for five patients in a hospital. ...
BMC Health Services Research (2018) 18:594 https://doi.org/10.1186/s12913-018-3376-3 RESEARCH ARTICLE Open Access Impact of oropharyngeal dysphagia on healthcare cost and length of stay in hospital: a systematic review Stacie Attrill1* , Sarahlouise White1, Joanne Murray...
The study also pointed out the inadequacy of choosing lognormal distribution and gamma distribution to fit the length of hospital stay. The empirical analysis results show that the use of the 6-phase Markov model to fit the length of stay is better than other distribution, but there is also ...
The average postoperative hospital stay was 6.36 days, the duration of oncologic diagnosis was 7.91 months, the operative time was 5.7 hours, and three deaths were recorded within the 30-day postoperative period. Table 1 provides a summary description of the sociodemographic and clinical ...