title: How Automation Can Help Alleviate the Budget Crunch in Public Health Research.
abstract: In an era of severe funding constraints for public health research, more efficient means of conducting research will be needed if scientific progress is to continue. At present major funders, such as the National Institutes of Health, do not provide specific instructions to grant authors or to reviewers regarding the cost efficiency of the research that they conduct. Doing so could potentially allow more research to be funded within current budgetary constraints and reduce waste. I describe how a blinded randomized trial was conducted for $ 275,000 by completely automating the consent and data collection processes. The study used the participants' own computer equipment, relied on big data for outcomes, and outsourced some costly tasks, potentially saving $1 million in research costs.
authors.affiliation: Peter A. Muennig is with the Mailman School of Public Health, Columbia University, New York, NY.
authors.forename: Peter A
authors.initials: PA
authors.lastname: Muennig
mesh_terms: D001331:Automation / Q000191:economics* / Q000379:methods; D002017:Budgets; D003625:Data Collection / Q000191:economics* / Q000379:methods; D017598:Efficiency, Organizational; D006801:Humans; D009316:National Institutes of Health (U.S.) / Q000191:economics / Q000706:statistics & numerical data; D011635:Public Health Administration / Q000191:economics*; D012106:Research / Q000191:economics*; D012107:Research Design; D012109:Research Support as Topic / Q000191:economics / Q000706:statistics & numerical data; D014481:United States