Innovation and solutions in evidence science
The current focus of GoodScience, Inc. is on ‘meta-research’—research about how we do research—in health care. Based on a systems model for real world evidence generation, GoodScience is promulgating methods for optimizing the integrity and value of information in the research process. Research with observational data (without formal experimental design and randomization) is conceived as an information and communication technology problem: the accurate and efficient transmission of information through a channel of communication. By identifying the numerous sources of entropy (information loss or distortion) in the health research process and applying the best solution set we can create a more efficient and productive evidence generation system. This has very pragmatic implications for optimizing cost efficiency and value generation for any evidence generation endeavor; and ultimately, for outcomes for patients.
• GoodScience is designing a head-to-head contest and comparison (strengths and shortcomings) of best-practice statistical modeling and Machine Learning to elucidate and characterize optimal applications of both in health care.
• GoodScience is designing a collaboration platform for causal knowledge development and curation to support optimal practice in statistical modeling.
• Consulting and Advisory Boards
• Thought leadership communicated in social media blog posts.