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
- palliative care
- risk assessment
- machine learning
- primary care
- acute kidney injury
- end stage renal disease
- clinical trial
- public health
- newly diagnosed
- pain management
- metabolic syndrome
- systematic review
- climate change
- gene expression
- randomized controlled trial
- social media
- human health
- health information
- prognostic factors
- acute coronary syndrome
- single cell
- physical activity
- deep learning
- cross sectional
- big data
- weight loss
- heavy metals