Characterizing treatment pathways at scale using the OHDSI network.

@article{Hripcsak2016CharacterizingTP,
  title={Characterizing treatment pathways at scale using the OHDSI network.},
  author={George Hripcsak and Patrick B. Ryan and Jon Duke and Nigam Haresh Shah and Rae Woong Park and Vojtech Huser and Marc A. Suchard and Martijn J. Schuemie and Frank J. DeFalco and Adler J. Perotte and Juan M. Banda and Christian G. Reich and Lisa M. Schilling and Michael E. Matheny and Daniella Meeker and Nicole L. Pratt and David Madigan},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2016},
  volume={113 27},
  pages={7329-36}
}
Observational research promises to complement experimental research by providing large, diverse populations that would be infeasible for an experiment. Observational research can test its own clinical hypotheses, and observational studies also can contribute to the design of experiments and inform the generalizability of experimental research. Understanding the diversity of populations and the variance in care is one component. In this study, the Observational Health Data Sciences and… CONTINUE READING