key challenges to med lecture Flashcards
Key challenges to medicine
pop growth, aging population, tech advances - cannot absorb tech from different countries, some people don’t even have the basic version of what we use
Burden of disease
magnitude
some people more susceptible to disease than others - why?
illness can be analysed at a cellular level
system not ready to cope with aging and growing population so burden of disease changes
advanced age group - multimorbidity, mental health, dementia - no treatment or prevention because can’t access the brain
Aging
still mystery
chronic disease (NCDs)
longer lifespan = dementia
distribution of deaths by age has changed dramatically
majority of death over age of 50, mainly 75+
sig impact on how we look at health service
more people living over 90
5% of spenders account for half of the spending - high needs, high cost cases
not enough resources to care for them - money shifts from other areas
health budget 145billion in UK
obesity
government intervene at an international level
pollution stress and diet change DNA
most disease linked to obesity - major epidemic, no specific solution
population v individual management
high weight = high cancer risk - reduce weight can save a lot of money on cancer treatment
diabetes - reversible
personalised medicine
intervention adaptable to individual patient’s genetic composition
high expectations
access to info
major contribution to health is economics and social changes happing in society
real time cancer diagnosis - intelligent electric surgical knife, vapourised smoke analysed by mass spec to detect chemicals, real time identification of malignant tissue - survival time will be longer
remote control microbots - see picture of any part of the body without surgery
block growth of cancer cells by interfering with targeted molecules for carcinogenesis and tumour growth - expensive so need to tax rich people more
activate and inhibit T cells
Resistance to AB
no significant investment in new AB
worse than terrorism
end modern medicine
activate and inhibit receptor of T cells - target disease like cancer
Technology, information and evidence
benefits and risks
population and individual access to knowledge
evidence - generation and access
AI - diagnosis and treatment
half of scientific research may be untrue
BIG data
AI based therapy - algorithms expedate in minutes all available evidence into real benefits
cause over diagnosis - more harm than good
Todays and future work force
shortage of health professionals
hoe competent?
curriculum development
multidisciplinary team/skills
impact on medicine and practice
master info technology and evidence
prevention and control of chronic diseases
work in interdisciplinary team
design and quality improvement of service
break the silos between the service
maximise population benefit
