How to lower the high cost of medicine

An example of this is shown by studies of stock picking
skill in which few are able to beat the market for any prolonged period. Persisting differences in ability are how we
confirm skill. Experts, using the recognition
primed decision model, can be reliable in a regular predictable environment
that can be learned with practice. See
Gladwell’s book ,”Blink”

These do not need to be complicated. Robyn Dawes article “The Robust Beauty of
Improper Linear Models in Decision Making” demonstrates that an even weight
model of predictors has equal validity to a multiple regression. Simple examples: Marital stability= frequency of lovemaking –
frequency of quarrels or Virginia Apgar’s newborn assessment scores.
In his E-myth, Book Gerber discusses the franchise prototype
rules, which are: 1. The prototype will provide value. Using algorithms in medicine will lead to the
best possible result. Even if the
algorithm is just equal to the expert, the algorithm is less costly. 2. People with the lowest possible level of
skill will operate the model. If
expertise is only used where it adds value this will lead to significant cost
savings. 3. The model creates
order. 4. The model is documented in a
manual. 5. The model provides
predictable service. 6. The model
utilizes a uniform color and dress and facilities code.
Anesthesia is an area where much of this has been
adopted. The field has been protocolled
and now nurse anesthetists are used.
The future is evidence based diagnosis and treatment protocols by less
skilled practitioners with proper tools and training. Highly
skilled people will be needed to make the algorithms and monitor outcomes.