Výsledky vyhledávání - "urgent care clinics"

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Forecasting patient demand at urgent care clinics using explainable machine learning

Autor: Teo Susnjak, Paula Maddigan

Publikováno v: CAAI Transactions on Intelligence Technology, Vol 8, Iss 3, Pp 712-733 (2023)

Abstract Urgent care clinics and emergency departments around the world periodically suffer from extended wait times beyond patient expectations due to surges in patient flows. The delays arising from inadequate staffing levels during these periods h

Externí odkaz: https://doaj.org/article/77e921d8acf747eaaf33ac8252a710df

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Increasing Safety Net Antibiotic Prescriptions for Acute Otitis Media in Urgent Care Clinics

Autor: Jennifer McKinsey, MD, Brian R. Lee, PhD, MPH, Donna Wyly, DNP, RN, CPNP-AC, PPCNP-BC ONC, Holly Austin, MD, Dinah Dosdos, MD, Emily Murdock, MSN, APRN, NP-C, CPEN, Aimy Patel, MD, Rana E. El Feghaly, MD, MSCI, Amanda Nedved, MD

Publikováno v: Journal of Pediatrics: Clinical Practice, Vol 14, Iss , Pp 200122- (2024)

Objective: To evaluate the effectiveness of multifaceted interventions in improving the use of safety net antibiotic prescriptions (SNAPs) for nonsevere acute otitis media (AOM). Study design: We used quality improvement methodology to develop iterat

Externí odkaz: https://doaj.org/article/94053910a88a4cc4bae6a83804d610ca

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Diagnosis and Treatment of Pneumonia in Urgent Care Clinics: Opportunities for Improving Care.

Autor: Hart, James H¹ (AUTHOR), Sakata, Theadora^1,2 (AUTHOR), Eve, Jacqueline R³ (AUTHOR), Butler, Allison M⁴ (AUTHOR), Wallin, Anthony¹ (AUTHOR), Carman, Chad¹ (AUTHOR), Atwood, Brenda¹ (AUTHOR), Srivastava, Rajendu^2,5 (AUTHOR), Jones, Barbara E^6,7 (AUTHOR), Stenehjem, Edward A⁸ (AUTHOR), Dean, Nathan C^6,9 (AUTHOR) nathan.dean@imail.org

Publikováno v: Open Forum Infectious Diseases. Mar2024, Vol. 11 Issue 3, p1-7. 7p.

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Forecasting Patient Demand at Urgent Care Clinics using Machine Learning

Autor: Maddigan, Paula, Susnjak, Teo

Urgent care clinics and emergency departments around the world periodically suffer from extended wait times beyond patient expectations due to inadequate staffing levels. These delays have been linked with adverse clinical outcomes. Previous research

Externí odkaz: http://arxiv.org/abs/2205.13067