AI Article Synopsis

  • Stanford Health Care serves around 9 million people and has seen significant changes after opening a second hospital in late 2019 and the impact of the COVID-19 pandemic.
  • There was a notable increase in both laboratory tests (45%) and anatomic pathology (AP) cases (17%) following the pandemic, linked to a rise in hospital census driven by more emergency department admissions and longer patient stays.
  • The hospital reached overcapacity levels of 103% for AP cases and 114% for lab tests, leading to challenges in performing clinical activities, especially surgical procedures, prompting recommendations for improved operational efficiency in the post-pandemic landscape.

Article Abstract

Stanford Health Care, which provides about 7% of overall healthcare to approximately 9 million people in the San Francisco Bay Area, has undergone significant changes due to the opening of a second hospital in late 2019 and, more importantly, the COVID-19 pandemic. We examine the impact of these events on anatomic pathology (AP) cases, aiming to enhance operational efficiency in response to evolving healthcare demands. We extracted historical census, admission, lab tests, operation, and AP data since 2015. An approximately 45% increase in the volume of laboratory tests (P < 0.0001) and a 17% increase in AP cases (P < 0.0001) occurred post-pandemic. These increases were associated with progressively increasing (P < 0.0001) hospital census. Census increase stemmed from higher admission through the emergency department (ED), and longer lengths of stay mostly for transfer patients, likely due to the greater capability of the new ED and changes in regional and local practice patterns post-pandemic. Higher census led to overcapacity, which has an inverted U relationship that peaked at 103% capacity for AP cases and 114% capacity for laboratory tests. Overcapacity led to a lower capability to perform clinical activities, particularly those related to surgical procedures. We conclude by suggesting parameters for optimal operations in the post-pandemic era.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10982550PMC
http://dx.doi.org/10.1016/j.acpath.2024.100113DOI Listing

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