Transformation of dental services from a governmental model to a revenue-generation model of operation in a tertiary care hospital: a health economics assessment.

Background: Healthcare in Saudi Arabia is under transformation from a national free health service to a system paid either by insurance or governmental funds. This change will impact the model of operation including dental services.

Objectives: Estimate the revenue of the Department of Dentistry based on an insurance-based billing system.

Data-Driven Prediction for COVID-19 Severity in Hospitalized Patients.

Clinicians urgently need reliable and stable tools to predict the severity of COVID-19 infection for hospitalized patients to enhance the utilization of hospital resources and supplies. Published COVID-19 related guidelines are frequently being updated, which impacts its utilization as a stable go-to resource for informing clinical and operational decision-making processes. In addition, many COVID-19 patient-level severity prediction tools that were developed during the early stages of the pandemic failed to perform well in the hospital setting due to many challenges including data availability, model generalization, and clinical validation.

COVID-19 Intelligence-Driven Operational Response Platform: Experience of a Large Tertiary Multihospital System in the Middle East.

The COVID-19 pandemic has resulted in global disruptions within healthcare systems, leading to quick dynamic fluctuations in hospital operations and supply chain management. During the early months of the pandemic, tertiary multihospital systems were highly viewed as the go-to hospitals for handling these rapid healthcare challenges caused by the rapidly increasing number of COVID-19 cases. Yet, this pandemic has created an urgent need for coordinated mechanisms to alleviate increasing pressures on these large multihospital systems and ensure services remain high-quality, accessible, and sustainable.

The usefulness of an ambulatory care pharmacy performance dashboard during the COVID-19 pandemic in a complex tertiary care system.

Purpose: To describe the usefulness of an innovative "semi-real-time" pharmacy dashboard in managing workload during the unpredictable coronavirus disease 2019 (COVID-19) pandemic.

Summary: We created a pharmacy dashboard to monitor workload and key performance indicators during the dynamic COVID-19 crisis. The dashboard accessed the prescribing workload from our clinical information system and filled prescriptions from robotic prescription dispensing systems.