Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16651, first published .
Applying A/B Testing to Clinical Decision Support: Rapid Randomized Controlled Trials

Applying A/B Testing to Clinical Decision Support: Rapid Randomized Controlled Trials

Applying A/B Testing to Clinical Decision Support: Rapid Randomized Controlled Trials

Journals

  1. Last B, Buttenheim A, Futterer A, Livesey C, Jaeger J, Stewart R, Reilly M, Press M, Peifer M, Wolk C, Beidas R. A pilot study of participatory and rapid implementation approaches to increase depression screening in primary care. BMC Family Practice 2021;22(1) View
  2. Ziemann A, Sibley A, Scarbrough H, Tuvey S, Robens S. Academic health science networks' experiences with rapid implementation practice during the COVID-19 pandemic in England. Frontiers in Health Services 2022;2 View
  3. Ehrmann D, Gallant S, Nagaraj S, Goodfellow S, Eytan D, Goldenberg A, Mazwi M. Evaluating and reducing cognitive load should be a priority for machine learning in healthcare. Nature Medicine 2022;28(7):1331 View
  4. Dorr D, D'Autremont C, Richardson J, Bobo M, Terndrup C, Dunne M, Cheng A, Rope R. Patient-Facing Clinical Decision Support for High Blood Pressure Control: Patient Survey. JMIR Cardio 2023;7:e39490 View
  5. Gaysynsky A, Heley K, Chou W. An Overview of Innovative Approaches to Support Timely and Agile Health Communication Research and Practice. International Journal of Environmental Research and Public Health 2022;19(22):15073 View
  6. Wilson M, Palmer E, Asselbergs F, Harris S. Integrated rapid-cycle comparative effectiveness trials using flexible point of care randomisation in electronic health record systems. Journal of Biomedical Informatics 2023;137:104273 View

Books/Policy Documents

  1. Turchioe M, Creber R. Personal Health Informatics. View