Transcription of Optimizing Strategies for CLINICAL DECISION SUPPORT
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The Learning Health System Series Optimizing Strategies for CLINICAL . DECISION . SUPPORT . Summary of a Meeting Series James E. Tcheng; Suzanne Bakken; David W. Bates; Hugh Bonner III;. Tejal K. Gandhi; Meredith Josephs; Kensaku Kawamoto; Edwin A. Lomotan;. Erin Mackay; Blackford Middleton; Jonathan M. Teich; Scott Weingarten;. Marianne Hamilton Lopez, Editors WA SH I NGTON, DC. NA DU. NAT IONA L AC A DE M Y OF M E DIC I N E 5 0 0 F I F T H S T R E E T, N W WA S H I NG T ON , D C 2 0 0 01. NOTICE: This publication has undergone peer review according to procedures established by the National Academy of Medicine (NAM).
for the circumstance. To achieve such a system, effective and timely approaches for managing the ever-expanding and complex array of clinical knowledge and person-speciic data are essential for accelerating routine identiication and delivery of the best available evidence to the point of choice by clinicians and patients.
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Form, 2018, IRS tax forms, Special, 2017