A5074323189- Machine Learning in Healthcare
- Chronic Disease Management Strategies
- Sepsis Diagnosis and Treatment
- Telemedicine and Telehealth Implementation
- Frailty in Older Adults
- Pediatric Hepatobiliary Diseases and Treatments
- Healthcare Systems and Public Health
- Cardiovascular Issues in Pregnancy
- Acute Myocardial Infarction Research
- Cardiac, Anesthesia and Surgical Outcomes
- Anesthesia and Sedative Agents
- Cardiac Structural Anomalies and Repair
- Geriatric Care and Nursing Homes
- Clinical Reasoning and Diagnostic Skills
- Minimally Invasive Surgical Techniques
- Gallbladder and Bile Duct Disorders
- Anesthesia and Pain Management
Virtua Health
2023-2024
Townsville Hospital
2020
Background: The reliability of neuromuscular monitoring is essential in optimizing anesthesia outcomes. Quantitative Train-of-Four (TOF) has emerged as a tool for ensuring precise blockade management. Objectives: This study aims to compare the efficacy and safety reversal guided by quantitative TOF with conducted without such monitoring. Methods: A literature-based analysis was conducted, evaluating existing data trends regarding use clinical practice. Performance metrics, precision...
The purpose of this study was to compare health outcomes for patients receiving acute care in their homes through a Hospital at Home (HaH) program inpatients the traditional hospital setting.We compared HaH Virtua Health 2022 (N = 271) during same year 13,776) with diagnoses. We defined as recommendations subacute rehabilitation (SAR) upon discharge recommendation indicates need additional therapy based on physician's assessment patient. Specifically, we searched notes electronic medical...
Background: Sepsis has remained a leading cause of bed occupancy and mortality in medical ICU around the world. There is limited epidemiological information from south Asian countries about prognostic factors for outcome such patients which very important planning treatment strategies.Aim: We investigated various sepsis also use APACHE II scoring system as tool.Methodology: analysed 50 with admitted to ICU. All demographic, etiological, clinical investigatory parameters were recorded score...
Abstract Background Discharge date prediction plays a crucial role in healthcare management, enabling efficient resource allocation and patient care planning. Accurate estimation of the discharge can optimize hospital operations facilitate better outcomes. Materials Methods In this study, we employed systematic approach to develop model. We collaborated closely with clinical experts identify relevant data elements that contribute accuracy. Feature engineering was used extract predictive...
Abstract Purpose The purpose of this study was to validate Hospital at Home as an appropriate care option for patients certain diagnostic-related groups and acuity levels. Patients methods We compared outcomes in a program Virtua Health 2022 (N = 272) traditional inpatients hospitals during the same year who did not participate 13879). defined recommendations subacute rehabilitation (SAR) final disposition upon inpatient discharge. Specifically, we searched electronic medical records terms...
Abstract Background Sepsis is a life-threatening condition caused by dysregulated response to infection, affecting millions of people worldwide. Early diagnosis and treatment are critical for managing sepsis reducing morbidity mortality rates. Materials Methods A systematic design approach was employed build model that predicts sepsis, incorporating clinical feedback identify relevant data elements. XGBoost utilized prediction, interpretability achieved through the application Shapely...