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How Automation Can Help Alleviate the Budget Crunch in Public Health Research
by
Muennig, Peter A.
in
Automation
/ Automation - economics
/ Automation - methods
/ Big Data
/ Breast cancer
/ Budgets
/ Clinical trials
/ Consent
/ Constraints
/ Cost analysis
/ Cost control
/ Cost reduction
/ Data collection
/ Data Collection - economics
/ Data Collection - methods
/ Efficiency
/ Efficiency, Organizational
/ Epidemiology
/ Ethics
/ Experiments
/ Funding
/ Government
/ Grants
/ Health care expenditures
/ Health research
/ Health services
/ Humans
/ Institutes
/ Laboratories
/ Mammography
/ Medical records
/ Medical research
/ Medical screening
/ Municipal employees
/ National Institutes of Health (U.S.) - economics
/ National Institutes of Health (U.S.) - statistics & numerical data
/ Online
/ Other Chronic Disease
/ Other Statistics/Evaluation/Research
/ Outsourcing
/ Patients
/ Privacy
/ Prostate
/ Prostate cancer
/ Public health
/ Public Health Administration - economics
/ Research - economics
/ Research Design
/ Research Support as Topic - economics
/ Research Support as Topic - statistics & numerical data
/ Socioeconomic Factors
/ Task forces
/ United States
2015
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How Automation Can Help Alleviate the Budget Crunch in Public Health Research
by
Muennig, Peter A.
in
Automation
/ Automation - economics
/ Automation - methods
/ Big Data
/ Breast cancer
/ Budgets
/ Clinical trials
/ Consent
/ Constraints
/ Cost analysis
/ Cost control
/ Cost reduction
/ Data collection
/ Data Collection - economics
/ Data Collection - methods
/ Efficiency
/ Efficiency, Organizational
/ Epidemiology
/ Ethics
/ Experiments
/ Funding
/ Government
/ Grants
/ Health care expenditures
/ Health research
/ Health services
/ Humans
/ Institutes
/ Laboratories
/ Mammography
/ Medical records
/ Medical research
/ Medical screening
/ Municipal employees
/ National Institutes of Health (U.S.) - economics
/ National Institutes of Health (U.S.) - statistics & numerical data
/ Online
/ Other Chronic Disease
/ Other Statistics/Evaluation/Research
/ Outsourcing
/ Patients
/ Privacy
/ Prostate
/ Prostate cancer
/ Public health
/ Public Health Administration - economics
/ Research - economics
/ Research Design
/ Research Support as Topic - economics
/ Research Support as Topic - statistics & numerical data
/ Socioeconomic Factors
/ Task forces
/ United States
2015
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Do you wish to request the book?
How Automation Can Help Alleviate the Budget Crunch in Public Health Research
by
Muennig, Peter A.
in
Automation
/ Automation - economics
/ Automation - methods
/ Big Data
/ Breast cancer
/ Budgets
/ Clinical trials
/ Consent
/ Constraints
/ Cost analysis
/ Cost control
/ Cost reduction
/ Data collection
/ Data Collection - economics
/ Data Collection - methods
/ Efficiency
/ Efficiency, Organizational
/ Epidemiology
/ Ethics
/ Experiments
/ Funding
/ Government
/ Grants
/ Health care expenditures
/ Health research
/ Health services
/ Humans
/ Institutes
/ Laboratories
/ Mammography
/ Medical records
/ Medical research
/ Medical screening
/ Municipal employees
/ National Institutes of Health (U.S.) - economics
/ National Institutes of Health (U.S.) - statistics & numerical data
/ Online
/ Other Chronic Disease
/ Other Statistics/Evaluation/Research
/ Outsourcing
/ Patients
/ Privacy
/ Prostate
/ Prostate cancer
/ Public health
/ Public Health Administration - economics
/ Research - economics
/ Research Design
/ Research Support as Topic - economics
/ Research Support as Topic - statistics & numerical data
/ Socioeconomic Factors
/ Task forces
/ United States
2015
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How Automation Can Help Alleviate the Budget Crunch in Public Health Research
Journal Article
How Automation Can Help Alleviate the Budget Crunch in Public Health Research
2015
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Overview
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.
Publisher
American Public Health Association
Subject
/ Big Data
/ Budgets
/ Consent
/ Ethics
/ Funding
/ Grants
/ Humans
/ National Institutes of Health (U.S.) - economics
/ National Institutes of Health (U.S.) - statistics & numerical data
/ Online
/ Other Statistics/Evaluation/Research
/ Patients
/ Privacy
/ Prostate
/ Public Health Administration - economics
/ Research Support as Topic - economics
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