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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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BACKGROUND: Inpatient hallway beds are one solution to mitigate emergency department (ED) crowding due to boarding of admitted patients. Alternative Care Areas (AltCA) beds are located in inpatient hallways, cardiac catheterization lab, and endoscopy. We examined whether AltCA beds were associated with increased risk of patient safety and quality outcomes: transfer to Intensive Care Unit (ICU), mortality, hospital-acquired infections (HAI), falls, and 72-hour hospital readmission. METHODS: Retrospective cohort study of patients age >18 years admitted from the ED to non-ICU beds at an urban, academic hospital. AltCA bed exclusion criteria: dementia, frequent respiratory interventions, contact or airborne isolation, psychiatric admission, and inability to ambulate. The study periods were: pre-intervention 9/1/2014-3/31/2015, transition 9/1/2015-3/31/2016, and post-intervention 9/1/2016-3/31/2017. Data analysis used unadjusted and multivariable analyses which controlled for age, sex, race, ethnicity, insurance, ED triage Emergency Service Index (ESI) level, and telemetry order. RESULTS: The study included 16,801 patients, with 622 (3.7%) patients in AltCA beds. AltCA beds had younger patients than standard inpatient beds, 57.7 years and 61.7 years; fewer telemetry order, 48.4% and 59.3%; and fewer ESI level 2, 16.1% and 26.2%. AltCA beds had shorter hospital LOS than standard inpatient beds, 2.7 days and 3.4 days. AltCA beds had decreased risk of transfer to ICU -10.6 (95%CI: -18.3, -2.8) and HAI -13.4 (95%CI: -20.3, -6.5) compared to standard inpatient beds. CONCLUSION: Patients in AltCA beds did not have increased risk of patient safety and quality outcomes but rather decreased risk of transfer to ICU and HAI than standard inpatient beds.

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OBJECTIVE: The aim of this study is to evaluate the effect of 2 hospital-wide interventions on achieving a discharge-before-noon rate of 40%. BACKGROUND: A multidisciplinary team led by administrative and physician leadership developed a plan to diminish capacity constraints by minimizing late afternoon hospital discharges using 2 patient flow management techniques. METHODS: The study was a preintervention/postintervention retrospective analysis observing all inpatients discharged across 19 inpatient units in a 484-bed, academic teaching hospital measuring calendar month discharge-before-noon percentage, patient satisfaction, and readmission rates. Patient satisfaction and readmission rates were used as baseline metrics. RESULTS: The discharge-before-noon percentage increased from 14% in the 11-month preintervention period to an average of 24% over the 11-month postintervention period, whereas patient satisfaction scores and readmission rates remained stable. CONCLUSIONS: Implementation of the 2 interventions successfully increased the percentage of discharges before noon yet did not achieve the goal of 40%. Patient satisfaction and readmission rates were not negatively impacted by the program.

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