This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1185) Diabetes (187) ePrescribing and Innovations in Pharmacies (54) Diabetes Health Services and System Innovations (117) Hypertension Prevention and Treatment (224)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16421, first published .
Impact of a “Chart Closure” Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study

Impact of a “Chart Closure” Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study

Impact of a “Chart Closure” Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study

Authors of this article:

Magaly Ramirez1 Author Orcid Image ;   Kimberly Chen2 Author Orcid Image ;   Robert W Follett2 Author Orcid Image ;   Carol M Mangione3, 4 Author Orcid Image ;   Gerardo Moreno5 Author Orcid Image ;   Douglas S Bell3 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Shah S, Yeheskel A, Hossain A, Kerr J, Young K, Shakik S, Nichols J, Yu C. The Impact of Guideline Integration into Electronic Medical Records on Outcomes for Patients with Diabetes: A Systematic Review. The American Journal of Medicine 2021;134(8):952 View
  2. Reuben D, Rosenstein H, Chen K, Pillai A, Lee D, Meshkat S, Chen G. A population‐based, electronic health record‐guided approach to improve the quality of dementia care. Journal of the American Geriatrics Society 2023;71(3):927 View
  3. Emamekhoo H, Carroll C, Stietz C, Pier J, Lavitschke M, Mulkerin D, Sesto M, Tevaarwerk A. Supporting Structured Data Capture for Patients With Cancer: An Initiative of the University of Wisconsin Carbone Cancer Center Survivorship Program to Improve Capture of Malignant Diagnosis and Cancer Staging Data. JCO Clinical Cancer Informatics 2022;(6) View
  4. Chen W, Howard K, Gorham G, O’Bryan C, Coffey P, Balasubramanya B, Abeyaratne A, Cass A. Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis. Journal of the American Medical Informatics Association 2022;29(10):1757 View
  5. Ulgu M, Laleci Erturkmen G, Yuksel M, Namli T, Postacı Ş, Gencturk M, Kabak Y, Sinaci A, Gonul S, Dogac A, Özkan Altunay Z, Ekinci B, Aydin S, Birinci S. A Nationwide Chronic Disease Management Solution via Clinical Decision Support Services: Software Development and Real-Life Implementation Report. JMIR Medical Informatics 2024;12:e49986 View