Transforming the perioperative medicine care model: The Singapore experience.
Xiu Lj SimCharlene Xw KwaYingke HeKai L NgEileen Y SimHairil Rizal AbdullahPublished in: Anaesthesia and intensive care (2023)
More than 300 million surgeries are performed worldwide annually. Established perioperative centres in the UK, USA and Australia have demonstrated the impact of improving perioperative care in reducing costs, increasing patient satisfaction and improving population health. Likewise, the surgical burden of care in Asia is increasing, but with sociocultural, economic and epigenetic differences compared to the west. As Singapore's largest hospital, the Singapore General Hospital pre-admission perioperative clinic sees about 20,000 patients annually. We aim to illustrate Singapore General Hospital's perioperative model of care to contribute to the paucity of literature describing perioperative programme implementation within Asia, and to encourage the cross-sharing of perioperative practices internationally. Our perioperative framework navigates risk assessment, risk counselling, and mitigation of health, medical and functional risks to better patients' perioperative outcomes and population health. We have implemented evidence-based pathways for common conditions such as anaemia and malnutrition, including a multidisciplinary programme for the elderly to tackle frailty and reduce length of stay. We describe how we have enhanced local risk profiling with the Combined Assessment of Risk Encountered in Surgery surgical risk calculator derived locally using a gradient boosting machine learning model. Finally, we report clinical outcomes of these interventions and discuss further challenges and new initiatives at each tier of our perioperative model. Our perioperative care model provides a framework that other centres can adopt to promote value-driven care, while catering for differences in the Asian population, thereby promoting evidence-based improvements in the area of perioperative medicine.
Keyphrases
- healthcare
- cardiac surgery
- patients undergoing
- quality improvement
- risk assessment
- palliative care
- machine learning
- end stage renal disease
- acute kidney injury
- primary care
- chronic kidney disease
- systematic review
- patient satisfaction
- newly diagnosed
- type diabetes
- study protocol
- randomized controlled trial
- metabolic syndrome
- gene expression
- physical activity
- mental health
- climate change
- deep learning
- dna methylation
- human health
- minimally invasive
- artificial intelligence
- social media
- smoking cessation
- risk factors
- adipose tissue
- cross sectional
- hepatitis c virus
- insulin resistance
- single cell
- peritoneal dialysis
- health information
- percutaneous coronary intervention
- middle aged
- prognostic factors
- electronic health record
- coronary artery disease
- double blind