Reddit Reddit reviews Hacking Healthcare: A Guide to Standards, Workflows, and Meaningful Use

We found 5 Reddit comments about Hacking Healthcare: A Guide to Standards, Workflows, and Meaningful Use. Here are the top ones, ranked by their Reddit score.

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Computer Science
Hacking Healthcare: A Guide to Standards, Workflows, and Meaningful Use
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5 Reddit comments about Hacking Healthcare: A Guide to Standards, Workflows, and Meaningful Use:

u/duhlman · 31 pointsr/InternetIsBeautiful

So I'm the author of "Meaningful Use & Beyond" which is on that site. It is definitely not licensed to be distributed there. Looks to me like someone just downloaded a lot of books from O'Reilly's Safari and loaded them on that site.

I get that maybe you're dirt poor and you can't afford a lot of books but if you can afford them think about signing up for O'Reillys safari service where you can get a lot of books a month for very little money.

If nothing else please buy the latest edition of my book: "Hacking Healthcare" http://www.amazon.com/Hacking-Healthcare-Standards-Workflows-Meaningful/dp/1449305024
Hacking Healthcare at Amazon If you buy 5 then I can afford a beer to have with dinner tonight. PS: Kids, don't become an author for the money.

u/ftrotter · 4 pointsr/healthIT

This is clearly an opportunity for a shameless self promotion.

I wrote what is likely to be the most popular guide to making this transition and I lurk here on reddit at least in part to answer specific Health IT questions... and get ideas for the next edition.

HTH,
-ft

u/johnnyh749 · 3 pointsr/healthIT

The other posters are pretty spot on, so I'll skip to providing some pointers.

Healthcare is filled with tons of niches, so you may want to zero in on the types of data this company deals with. E.g. Radiology is its own world with the RIS/PACS, DICOM, Modalities, same with Pathology, etc.
Hacking Healthcare provides a pretty nice overview, so you could take a look at that (O'Reilly sells it as a PDF if you need it ASAP).

Some things you may want to look into more (at least wikipedia / google a bit):

  • HL7 -- Is the way clinical data moves around. The older 2.x format is so entrenched in many areas that it worth knowing. It is a pipe-delimited format with message types (the common ones I see are ADT for admissions, discharges, & transfers, and ORM/ORU for Orders and Results, respectively). The 3.x version is XML-based. The CDA from v3 is useful. FHIR is definitely awesome, but still so early that effectively no systems I know of use it yet.
  • Common coding systems: CPT (the procedure) & ICD9 (why was a procedure ordered) are common.
  • Ontologies such as UMLS/SNOMED, LOINC, RadLex, ... many domains have their own terminologies.

    At the end of the day, healthcare is complex (whether that complexity is actually warranted is a discussion for another day), so I'm sure a healthcare analytics company would love someone who could hit the ground running. But the fact of the matter is that healthcare is in desperate need of people who can help make sense of the tons of data we are now generating. A quick learner who can learn from "domain experts" (the physician exec) would definitely be useful.
u/caust12 · 1 pointr/sysadmin

Get yourself a copy of this book, very informative, looks like what you need:

OReilly's Hacking Healthcare

also available as an ebook on google books.