How to do Advice and Guidance well.
Carolyn CharmanHannah E WainmanAswatha RabindranathnambiChin WhybrewHywel C WilliamsPublished in: Clinical and experimental dermatology (2023)
The COVID-19 pandemic has accelerated a rapid expansion of digital Advice and Guidance (A&G) across UK medical and surgical specialties. Dermatology A&G requests have increased by over 400% since the onset of the pandemic in 2020, with rapid expansion of teledermatology A&G services across England. Dermatology A&G is usually carried out asynchronously through dedicated digital platforms such as the NHS e-Referral service, with streamlined conversion to referral if clinically indicated. A&G with images is advocated as the main referral pathway to dermatology specialist services in England (excluding the two-week wait suspected skin cancer pathway). Providing dermatological care through A&G requires specific clinical skill sets to ensure rapid, safe and collaborative delivery, and optimisation of educational benefit. Little published guidance is available to signpost clinicians to what constitutes a high-quality A&G request and response. This educational article discusses good clinical practice based on extensive local and national experience from primary and secondary care doctors. We cover digital communication skills, shared decision making, clinical competency, and building collaborative links between patients, referrers and specialists. High quality A&G, with agreed turn-around times and optimisation of technology can significantly streamline patient care and strengthen links between clinicians, providing it is appropriately resourced within the wider planning of elective care and outpatient activity.
Keyphrases
- healthcare
- quality improvement
- palliative care
- primary care
- skin cancer
- patient safety
- mental health
- affordable care act
- end stage renal disease
- clinical practice
- newly diagnosed
- sars cov
- chronic kidney disease
- coronavirus disease
- loop mediated isothermal amplification
- pain management
- deep learning
- chronic pain
- machine learning
- randomized controlled trial
- cross sectional
- clinical trial
- optical coherence tomography
- single molecule
- health insurance
- study protocol
- patient reported