Special thanks to the contributors of the open-source mongodb which was used in this project. Athena analyses data sets in multiple well-known data formats such as CSV, JSON, Apache ORC, Avro, and Parquet and uses standard SQL queries, which are easy to understand and use for existing data management teams. As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun. Amazon Athena is a serverless interactive query service used to analyze data in Amazon S3.
The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). You can hover over an item for a second and the frequency score should pop up. The blueness of the results represents their relative frequency. She is often allegorized into a personification of wisdom. Describe Athena, Phoebus Apollo, Artemis, and Aphrodite. EHR transitions can be a painful but necessary change for clinics. The patron goddess of Athens, worshiped as the goddess of wisdom, handicrafts, and warfare. Juno was Hera, Neptune was Poseidon, Minerva was Athena, Venus was Aphrodite, Mars was Ares. iScribe helps you to write on a normal paper in the natural form of the writing. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here). Providers used iScribes mobile EHR app with athenaClinicals for a seamless go-live. iScribe, The perfect companion for your online teaching. In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: " woman" versus " man" and " boy" versus " girl". The parser simply looks through each book and pulls out the various descriptions of nouns. Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. Eventually I realised that there's a much better way of doing this: parse books!
How It Works After performing a 5-10 minute (seriously) API integration between iScribe and Athena, users are free to start logging patient data through the mobile EHR app.
While playing around with word vectors and the " HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. iScribe is the mobile-ready documentation tool that lets you get the full functionality of Athena without having to touch it at all. In addition, FOI realized ~$120,000 in annual savings by switching from transcription to iScribe’s Mobile Platform.The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms). Providers who utilized iScribe had an improvement in encounter close rates and were able to continue documenting their patient encounters without significant volume reduction. Clinics often delay EHR transitions, trying to avoid the revenue and productivity loss during go-live weeks, as providers and staff slowly adjust to documenting encounters at lower patient volumes.ĩ2 Florida Orthopedic Institute (FOI) providers trained and subsequently went live with iScribe’s services including AirMic, Mobile EHR Platform, and Virtual Scribe Services concurrently with the organization’s athenahealth go-live day.īy FOI engaging in simultaneous go-lives with iScribe and athenahealth, 75% less support tickets were received from Command Center and iScribe providers did not suffer from expected productivity losses.
This decision impacts the entire organization from registration and billing to providers and their support staff. EHR transitions can be a painful but necessary change for clinics.