Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions

• Main Authors: Morris, AH, Stagg, B, Lanspa, M, Orme, J, Clemmer, TP, Weaver, LK, Thomas, F, Grissom, CK, Hirshberg, E, East, TD, Wallace, CJ, Young, MP, Sittig, DF, Pesenti, A, Bombino, M, Beck, E, Sward, KA, Weir, C, Phansalkar, SS, Bernard, GR, Taylor Thompson, B, Brower, R, Truwit, JD, Steingrub, J, Duncan Hite, R, Willson, DF, Zimmerman, JJ, Nadkarni, VM, Randolph, A, Curley, MAQ, Newth, CJL, Lacroix, J, Agus, MSD, Lee, KH, Deboisblanc, BP, Scott Evans, R, Sorenson, DK, Wong, A, Boland, MV, Grainger, DW, Dere, WH, Crandall, AS, Facelli, JC, Huff, SM, Haug, PJ, Pielmeier, U, Rees, SE, Karbing, DS, Andreassen, S, Fan, E, Goldring, RM, Berger, KI, Oppenheimer, BW, Wesley Ely, E, Gajic, O, Pickering, B, Schoenfeld, DA, Tocino, I, Gonnering, RS, Pronovost, PJ, Savitz, LA, Dreyfuss, D, Slutsky, AS, Crapo, JD, Angus, D, Pinsky, MR, James, B, Berwick, D
• 其他作者: DEAN'S OFFICE (MEDICINE)
• 格式: Review
• 出版: 2023
• 主題: Clinical Decision-Making; Computers; Documentation; Electronic Health Records; Humans; Learning Health System
• 在線閱讀: https://scholarbank.nus.edu.sg/handle/10635/246029
• 機構: National University of Singapore

10.1093/jamia/ocaa294