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Dr. Kramer refers to various people in various medical cases but redacts their names.

The Journal of the American Medical Association and the medical community as a whole embraced “evidence based medicine” back in the 90s and claimed that individual case stories were inferior, antiquated, and a thing of the past.

Oxford University press and the New England Journal of Medicine started writing case reports embracing stories.

The main point of the article is that doctors need individual stories about patient success stories but that the current medical community has largely done away with this. His argument is that that are needed because of their impact on patients, their use in identifying problems like depression, knowing others have felt the same or have the same condition can give hope, and they can inspire research agendas.

The author conducted his research by personal experience and reference to case examples.

I looked into how EMS operates in situations that are beyond protocols, standing orders, and medical control. I also looked into how story cases are used by other medical professionals. Further I looked into how “evidence” based approaches are formulated for studies and research.

1) “Repeatedly, I have been surprised by the impact that even lightly sketched case histories can have on readers.”

2) “But even the manifesto conceded that less formal expertise would remain important in the areas of practice that had not been subject to high-level testing. THAT confession covers much of the territory.”

1) “Repeatedly, I have been surprised by the impact that even lightly sketched case histories can have on readers.”

2) “But even the manifesto conceded that less formal expertise would remain important in the areas of practice that had not been subject to high-level testing. THAT confession covers much of the territory.”

The author addresses public health by making the case that “evidence based medicine” is not always there for every type of case nor is it always infallible. This effects emergency response where there are so many variables and there are no datasets, protocols, or studies for some cases.