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Intra- and post-pandemic impact of the COVID-19 outbreak on Stanford Health Care.
Phongpreecha, Thanaphong; Berson, Eloise; Xue, Lei; Shome, Sayane; Saarunya, Geetha; Fralick, Jennifer; Ruiz-Tagle, Bernardita Guridi; Foody, Andrew; Chin, Alexander L; Lim, Michael; Arthofer, Rudolph; Albini, Christopher; Montine, Kathleen; Folkins, Ann K; Kong, Christina S; Aghaeepour, Nima; Montine, Thomas; Kerr, Alison.
Afiliación
  • Phongpreecha T; Department of Pathology, Stanford University, USA.
  • Berson E; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, USA.
  • Xue L; Department of Biomedical Data Science, Stanford University, USA.
  • Shome S; Department of Pathology, Stanford University, USA.
  • Saarunya G; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, USA.
  • Fralick J; Department of Biomedical Data Science, Stanford University, USA.
  • Ruiz-Tagle BG; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, USA.
  • Foody A; Department of Biomedical Data Science, Stanford University, USA.
  • Chin AL; Department of Pediatrics, Stanford University, USA.
  • Lim M; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, USA.
  • Arthofer R; Department of Biomedical Data Science, Stanford University, USA.
  • Albini C; Department of Pediatrics, Stanford University, USA.
  • Montine K; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, USA.
  • Folkins AK; Department of Biomedical Data Science, Stanford University, USA.
  • Kong CS; Department of Pediatrics, Stanford University, USA.
  • Aghaeepour N; Stanford Health Care, USA.
  • Montine T; Stanford Health Care, USA.
  • Kerr A; Stanford Health Care, USA.
Acad Pathol ; 11(2): 100113, 2024.
Article en En | MEDLINE | ID: mdl-38562568
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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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Acad Pathol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Acad Pathol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos