I apologize for being offline for the past month. Between illnesses, weddings, and the start of the school year, I cut back on blogging and twitter. I finally feel like I’m back into the swing of things.
I am looking forward to the Virginia Health Equity Conference later this week. Although the conference will mainly be attended by medicine and public health people, I hope to blog about health care during the conference. So keep an eye on the blog. You can follow the conference twitter feed here.
I have been closely following the national debate surrounding health care and health insurance. Although it seems like the issue is mainly a macro-economics issue, I really do think that OR has a lot to offer, particularly in predicting the costs and benefits of treatment and care. But I see so much misinformation (sometimes well-meaning people with the wrong information, and sometimes more sinister ulterior motives) that I easily get discouraged about having a rational, quantitative discussion using OR methodologies.
Last week, I tried discussing some of the health care issues in my class (probability and statistics for engineers). After introducing Bayes rule, I illustrated why it implies that preventive medicine costs so much, in general. I think the discussion backfired. David Brooks explains it better [podcast link here]–when I try, I come off sounding like a an insensitive monster that wants to deny people health care. Really, I just want good numbers to support the debate so we can make good decisions. I’m not sure what the answer is, because I have no idea what the facts are yet. I hope OR is instrumental in providing the facts.