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Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15770, first published .
Doctor in lab coat writing on clipboard with stethoscope and laptop

Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial

Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial

Journals

  1. Rodriguez P, Veenstra D, Heagerty P, Goss C, Ramos K, Bansal A. A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models. Value in Health 2022;25(3):350 View
  2. Wohlgemut J, Pisirir E, Stoner R, Perkins Z, Marsh W, Tai N, Kyrimi E. A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems. BMC Medical Informatics and Decision Making 2024;24(1) View
  3. Gunn C, Boyer N, Sheikh S, Lee J, Woloshin S, Specht J, Hubbard R, Aiello Bowles E, Tosteson A. Patient- and Physician-Identified Considerations for Clinical Implementation of a New Risk-Based Prediction Tool to Guide Surveillance Mammography in Breast Cancer Survivors. JCO Oncology Practice 2026 View