This book was a hodgepodge of important/interesting topics, many of which I agreed with wholeheartedly (though some I had mixed feelings about). A selection of topics:
- We (i.e., doctors and patients) need to start leveraging personalized genomic information, to better spot genetic diseases, know about adverse drug interactions in advance, etc. Also, the FDA made some bad decisions about regulating straight-to-consumer genetic testing [agree!! Other great books on this topic are The $1,000 Genome by Davies, and The Language of Life by NIH director Collins]
- We should all own, and automatically have access to, our own medical records (lab tests, scans, notes from doctor visits, etc), as a basic right and also to streamline the system, cut down on repeat testing, etc. [agree!]
- Medical procedures/care in the US is too expensive; there should be more openness and standardization when it comes to medical costs [makes sense, though this is a prominent, complex topic, and I have less confident opinions about how to overhaul our pretty-broken medical system]
- Using existing and soon-to-come technology (smartphones, apps, connected sensors, "internet of things," etc), each patient will soon be able to generate a deluge of data about themselves and their health; we need to get better at managing this wealth of data, auto-interpreting it, and putting it in the hands of the individual in a way that enables them to be engaged in their own health. [totally agree -- for those aware of "active learning" strategies in the classroom, its the same idea: rather than having a "sage(/professor/doctor) on the stage" do *all* the deep thinking and interpretation and pronouncing the answer, the student/patient benefits immensely by being engaged in the data analysis and taking charge of their own health/learning -- of course, without fully abandoning verification/guidance by the "sage." Interestingly, the objections from both "sages" ("they won't be able to figure it out on their own!") seem similarly unfounded, and in fact often demonstrably false in practice.]
- Social media allows patients with rare conditions or specific to connect with other sufferers and compare experiences, treatments, etc [sure, though this can lead to rabbit trails, bad advice, hypochondriacs, etc]
- One of the topics he returned to frequently throughout the book, and which I have the most mixed feelings about, is the idea of paternalism in medicine -- the idea that "doctor knows best," and the problem that doctors are sometimes unreceptive/uninformative/uncommunicative/unfriendly/rude/out-of-touch/etc when it comes to discussing and weighing options, respecting the patient as a "partner" in managing their health, etc. I mostly agree (he provided, and we've all heard, horror stories about doctors who won't listen, miss important warning signs, etc), though I don't think he addressed that, often, the doctor actually *does* know best! He didn't address at all the problem of antivaccination, homeopathy, etc, that are blatantly wrong, yet the patient might feel strongly in favor of. How to deter patients from this, if not a paternalistic pronouncement (or enrolling the patient in a whole series of college science courses?).
I do think one of the most beneficial ways to get patients engaged in a productive way is to have them collecting objective, quantitative data about their own health [blood pressure, glucose levels, heart rate, temperature, asthma attack frequency, etc etc], so that they can have evidence-based conversations with their doctor. With the proper data (not just anectodal recollections), it could become clear that a certain medication is wearing off by the end of the day, or that a particular exercise habit often triggers asthma attacks, or that a certain strategy/drug isn't working for cholesterol, etc etc. This data is valuable for both the doctor (less guessing) and the patient (more engaged in own health).
- A final important topic was the idea that, for the good of everyone, yet without violating privacy, we need to collect all this data (genomic, physiological, environmental, pharmacological, etc) from large numbers of people, and get better at analyzing it, cross-referencing it, etc. By amassing a database of multi-variate information, we have an incredible opportunity to identify *personalized*, evidence-based solutions for various health problems in a way we never have before.
This is definitely the longest review I've written -- mostly for my own reference later. ;) In the end, I'm not 100% convinced by *all* of his arguments, and it seemed more disjointed than it could have (and perhaps a bit too broad?). Overall a great, thought-provoking read.