How Automation Can Help Alleviate the Budget Crunch in Public Health Research
Bibliographic Data
| ID | 11027441 |
|---|---|
| Authors | Peter Muennig (0000-0002-4234-0498, Columbia University, corresponding author), Peter A Muennig (Peter A. Muennig is with the Mailman School of Public Health, Columbia University, New York, NY.) |
| Year | 2015 |
| Volume | 105 |
| Issue | 9 |
| Pages | e19-e22 |
| Publication date | 2015-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0090-0036 • E-ISSN: 1541-0048 |
| Publisher | American Public Health Association (PUBLISHER • US) |
| DOI | 10.2105/ajph.2015.302782 |
| PMID | 26180952 |
| OpenAlex | W1929181352 |
| Language | EN |
| References cited | 10 |
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
Business · Crunch · Data collection · Environmental health · Political science · Public health · Public relations · Sociology · Ethics in Clinical Research · Health Policy Implementation Science · Medicine · Nursing · Primary Care and Health Outcomes
| Citation velocity | historical |
|---|---|
| Highly cited | No |