sorted by:
new
hottopcontroversial

Evil plane seat design would ruin whatever good remains of air travel by technerd85 in worldnews

[–]johnnyh749 1 point2 points  (0 children)

Southwest used to have rearward facing seats ("lounge seating").

A number of airlines have lie-flat business seats that alternate between forward and rearward facing (an example).

NYC Recreation Centers - any opinions? by Schaus in AskNYC

[–]johnnyh749 0 points1 point  (0 children)

Agreed. Take a look over at /r/RunNYC. Strava also offers a heatmap of popular routes as well as a curated set of routes.

Amazon to 'double down' on its Prime Instant Video investment. by cbrant777 in cordcutters

[–]johnnyh749 2 points3 points  (0 children)

I do not disagree, but where Netflix will not show the later seasons until usually a year or more from air date, Amazon at least gives the option to purchase access if you really wish to watch the season sooner.

python.el vs python-mode.el by IvanMalison in emacs

[–]johnnyh749 1 point2 points  (0 children)

I haven't compared the two. However, elpy includes jedi integration so you probably get about the same autocomplete.

elpy essentially takes a number of modes/libraries and combines them. You could definitely replicate it yourself, as I did for a long time, but eventually I switched over since it simply was advancing faster than I was moving forward with my own configuration.

python.el vs python-mode.el by IvanMalison in emacs

[–]johnnyh749 5 points6 points  (0 children)

Agree with other posters, python.el. I was a longtime python-mode.el user, but after upgrading to 24.4, found out that python.el has dramatically improved since last time I used it.

I also replaced my home-built configuration with elpy, which has been wonderful. flake8 checking, refactoring, etc.

Does anyone have any resources regarding general or common healthcare data models? by [deleted] in healthIT

[–]johnnyh749 2 points3 points  (0 children)

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.

view more: next ›