Published on in Vol 5, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9889, first published .
An Optimization Program to Help Practices Assess Data Quality and Workflow With Their Electronic Medical Records: Observational Study

An Optimization Program to Help Practices Assess Data Quality and Workflow With Their Electronic Medical Records: Observational Study

An Optimization Program to Help Practices Assess Data Quality and Workflow With Their Electronic Medical Records: Observational Study

Journals

  1. Dinsdale E, Hannigan A, O’Connor R, O’Doherty J, Glynn L, Casey M, Hayes P, Kelly D, Cullen W, O’Regan A. Communication between primary and secondary care: deficits and danger. Family Practice 2019 View
  2. Mangin D, Lawson J, Adamczyk K, Guenter D. Embedding “Smart” Disease Coding Within Routine Electronic Medical Record Workflow: Prospective Single-Arm Trial. JMIR Medical Informatics 2020;8(7):e16764 View
  3. Rahal R, Mercer J, Kuziemsky C, Yaya S. Factors affecting the mature use of electronic medical records by primary care physicians: a systematic review. BMC Medical Informatics and Decision Making 2021;21(1) View
  4. Tell A, Westenhöfer J, Harth V, Mache S. Stressors, Resources, and Strain Associated with Digitization Processes of Medical Staff Working in Neurosurgical and Vascular Surgical Hospital Wards: A Multimethod Study. Healthcare 2023;11(14):1988 View

Books/Policy Documents

  1. Fung D, Poremski D. Starting At the Beginning. View