Sentiment Analysis and Natural Language Processing (NLP) have always fascinated me yet I never really understood the inner-workings of this type of analysis and never made the time to dig into the science. Until recently, I didn’t even know that you could collect tweets for free using Twitter’s Search and Streaming APIs. A few days and several blogs later, I’ve now set up R to work with both the Search and Streaming APIs. Since much of the information was located on disparate websites, I thought I’d give a general recap here. This first post deals with using the Twitter Search API and R to collect tweets. Before I dig into the code, there are some notes I want to touch on (which I later learned from Twitter’s documentation). Continue reading…
The U.S. Government Accountability Office (GAO) recently released a document detailing an investigation on the difficulties and costs associated with launching Healthcare.gov, the federal health insurance marketplace implemented as a result of the Patient Protection and Affordable Care Act (PPACA), informally known as Obamacare. The report, titled HEALTHCARE.GOV: Ineffective Planning and Oversight Practices Underscore the Need for Improved Contract Management provides a timeline of events that led to more than $200 mil (or almost 27%) in cost overruns, with the Government paying approximately $946 mil from fiscal year 2010 through March 2014. Continue reading…
After working with 5 different datasets published by the Centers for Medicare and Medicaid Services (CMS), the most comprehensive dataset on EHR use, incentive payments, provider demographics, EHR vendor information and more is now available for download on my website. This new dataset contains the following information: Continue reading…
CoveredCA previously released enrollment numbers in the Affordable Care Act (ACA) health insurance exchanges here. According to their reports, almost 1.4 million (1,395,929) Californians enrolled in insurance plans sold on the exchange through April 15th, 2014, with Los Angeles, Orange County and San Diego County taking the top 3 spots in total number of enrollments (see table below). CoveredCA beat their projections of enrolling at least 400,000 – 700,000 individuals (according to a Sept 2013 document) by triple digit percents, already reaching levels forecast for 2015-2016.
|County||Total Enrolled||% of Total Enrolled||% of County Population||County Population Estimate|
About a year ago, I posted a visualization of EMR/EHR attestation numbers from data provided by CMS and the ONC. Almost 16 months later, the attestation landscape hasn’t changed very much. From a geographical perspective, highly populated states continue to have the highest overall percentage attesting organizations (EPs and hospitals). However, keep in mind that these numbers are not adjusted for population size or number of total practices/hospitals per state. The maps below simply portray the yearly proportions of attestations coming from each state (so for each year, we would expect 100% total when adding up all states).
Trends in State Attestation (interactive)
Overall (2011-June 2013), California-based EPs and hospitals have sent in the most number of attestations at 6.83% of the entire set, followed by Florida and Texas at 5.59% and 5.55%. Of the continental states, Alaska, Wyoming and Vermont rank lowest at 0.07%, 0.11% and 0.17% respectively. A notable mention goes to Utah that saw a significant increase in successful attestations, going from 1.36% of total 2012 attestations to 7.77% of total 2013 attestations. Continue reading…