A5062766174- Patient Safety and Medication Errors
- Clinical Reasoning and Diagnostic Skills
- Cardiac Imaging and Diagnostics
- Medical Malpractice and Liability Issues
- Pleural and Pulmonary Diseases
- Renal function and acid-base balance
- Thermal Regulation in Medicine
- Clinical practice guidelines implementation
- Diet and metabolism studies
- Sepsis Diagnosis and Treatment
- Blood Coagulation and Thrombosis Mechanisms
- Frailty in Older Adults
- Ultrasound in Clinical Applications
- Heart Failure Treatment and Management
- Hemodynamic Monitoring and Therapy
- Metabolism and Genetic Disorders
- Amoebic Infections and Treatments
- Vibrio bacteria research studies
- Thallium and Germanium Studies
- Acute Myocardial Infarction Research
- Geriatric Care and Nursing Homes
- Neurological and metabolic disorders
- Medical Imaging and Pathology Studies
- Long-Term Effects of COVID-19
- Health Systems, Economic Evaluations, Quality of Life
Fremantle Hospital
2012-2023
Sir Charles Gairdner Hospital
2018
Royal Perth Hospital
2009
Pleural infection is a clinical challenge; its microbiology can be complex. Epidemiological and outcome data of pleural in adult Australians are lacking. We describe the bacteriology outcomes Australian adults with culture-positive (CPPI) over 6-year period.Cases CPPI were identified through Western public hospitals electronic record. Culture isolates, admission dates, vital status, co-morbidities, radiology, blood fluid tests extracted.In total, 601 cases (71.4% males; median age: 63 years...
Long Covid is now regarded as a chronic disease that follows from an acute infection of SARS-CoV-2. Patients themselves were at the forefront developing scientific understanding disease, which was followed up by government related health institutions. This analysis describes how patient led research initiated development institutions’ “case definitions” long and these definitions more suited to providing set “diagnostic criteria” for Covid.
Abstract Background A patient’s self-reported health-related quality of life (HRQoL) can be quantified by a patient-reported outcome measure (PROM). HRQoL provide another avenue to understand the ‘post-hospital syndrome’, period after hospital discharge that patient remains vulnerable subsequent re-admission. The purpose study was establish feasibility collecting older inpatients treated for acute illnesses on medical ward. Feasibility PROM would qualitatively judged upon completion time,...
<p>The objective of this prospective cohort study was to assess the marginal gain in diagnostic accuracy when physical examination and interpretation technological tests are added history taking. In study, 258 patients were assessed consecutively by two physicians at Acute Medical Units (AMU) one emergency department (ED) three teaching hospitals. After talking each patient, differential diagnoses listed, with confidence scores. These lists modified after subsequent station information...
fails for a cause: understanding medical diagnostic Everything error using reliability and maintainability engineering
A 79-year-old woman was admitted with new onset confusion. Her past medical history included heart failure and...
<h3>Background</h3> Patient reported outcome measures are comprised of either sets questionnaires or patient global assessment based on visual analogue scale (VAS). These patient-reported lack accuracy and/or clinical feasibility when comparing heterogeneous groups with different diseases, characterizing patients systemic disease involving organ systems. <h3>Objectives</h3> Developing a feasible measure VAS <h3>Methods</h3> Patients were asked to rate their health status in 10cm (0–100%)...
Background: In white patients venous thromboembolism (VTE) is a multifactorial disease. Concomitant with provoking clinical risk factors in > 70% of cases genetic polymorphisms, for example the factor (F5) polymorphism at rs6025, prothrombin (PT) variants rs1799963 and rs3136516 are known as additional factors. The aim this analysis was to evaluate additive role gender ABO blood group (BG: 0 versus non-0) case-control design.