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Clinical guidelines are available in abundance, through peer-reviewed medical journals, library-based databases and evidence-based reports. But these guidelines may not provide recommendations that are ideal for our patients’ individual needs. What if we could merge relevant data from a range of studies, creating instant meta-analyses tailored to our patients? Host Dr. Jennifer Shu explores this concept with Dr. Todd Feinman, practicing hospitalist at Harbor-UCLA Medical Center in Torrance, Calif., and founder of Doctor Evidence, a Web-based customizable digital database of disease treatment and drug efficacy information. Could medical organizations use similar mechanisms to develop policy statements or clinical recommendations?
By ReachMDClinical guidelines are available in abundance, through peer-reviewed medical journals, library-based databases and evidence-based reports. But these guidelines may not provide recommendations that are ideal for our patients’ individual needs. What if we could merge relevant data from a range of studies, creating instant meta-analyses tailored to our patients? Host Dr. Jennifer Shu explores this concept with Dr. Todd Feinman, practicing hospitalist at Harbor-UCLA Medical Center in Torrance, Calif., and founder of Doctor Evidence, a Web-based customizable digital database of disease treatment and drug efficacy information. Could medical organizations use similar mechanisms to develop policy statements or clinical recommendations?