This talk belongs to @0wenyan9 Owen Yang at his personal capacity, not a property of NHS or Universities.

Myself

Taiwan/UK; paediatrician/GP registrar/social scientist (education/adolescent psychology); statistics (epidemiology; social scientists/education); BMA rep for Oxford/South Central (outgoing)/Medical Academic/Diversity; healthcare databases (UK/Taiwan)

Primary care: snapshot

Risk management: positive predicted value for parents, for GP, and for the secondary care. It is not always about diagnosis and why.

A typical day of a patient in the NHS: routine management, routine prevention, urgent simple, urgent complex. Gateways: GP, 111, 999, A&E, screening, self-referrals.

A typical week of a GP in the NHS: triage; patient facing time and non-facing time; primary-secondary care interface (mental health, musculoskeletal health; psychosocial issues; end of life; safeguarding; shotgun license; fit note; substance use; language barriers; refugees; learning disabilities; care home ward rounds). Who is out of touch?

General introduction to the NHS: who pays the bill and who use the service. My take on cultural difference in ‘service’.

NHS vs GPs: Are GPs civil servants? Who pays the bill? Who runs the practice? Pay for performance and pay for service; QoF; are GP rubbish (generalists vs specialists; risk of false positives); why can I not see my GP?

Healthcare data flow

My opinion: researchers are working-age people (70 is young to me) and need to understand more about healthy and realistic, multi-component ageing; prevention is self-management; respect psychology and economics; do not mix patient and researcher roles; do not confuse life priorities and funding preferences; be less British (be inquisitive and share more stigmatised concerns).

CPRD, HES, and gaps: Primary care; community care; outpatients; hospitals; urgent care

Are hospital diagnoses accurate? Are you a medical researcher or data mining scientist? Have you heard of survival analysis? (Acute chest pain; dementia; depression; rheumatoid arthritis; prostate cancer)

Are primary care data accurate? Are you a medical researcher or data mining scientist? Have you heard of selection bias? (BMI; smoking; alcohol; hypertension; diabetes)

Other topics for another day

Diagnosis or condition-specific insights; more on how to run a GP surgery.

How we die: pain, mobility, breathing, and communication