Published on in Vol 2, No 1 (2013): Jan-Jun

Understanding Electronic Medical Record Adoption in the United States: Communication and Sociocultural Perspectives

Understanding Electronic Medical Record Adoption in the United States: Communication and Sociocultural Perspectives

Understanding Electronic Medical Record Adoption in the United States: Communication and Sociocultural Perspectives

Authors of this article:

Priya Nambisan1 ;   Gary L Kreps2 ;   Stan Polit3

Journals

  1. Ghanei Gheshlagh R, Nourozi Tabrizi K, Dalvandi A, Ebadi A. Development and Validation of Resilience Scale in Patients with Cardiovascular and Respiratory Diseases. Iranian Red Crescent Medical Journal 2018;20(1) View
  2. Kolowitz B, Lauro G, Venturella J, Georgiev V, Barone M, Deible C, Shrestha R. Clinical Social Networking—A New Revolution in Provider Communication and Delivery of Clinical Information across Providers of Care?. Journal of Digital Imaging 2014;27(2):192 View
  3. Hanna L, Gill S, Newstead L, Hawkins M, Osborne R. Patient perspectives on a personally controlled electronic health record used in regional Australia. Health Information Management Journal 2017;46(1):42 View
  4. Najaftorkaman M, Ghapanchi A, Talaei‐Khoei A, Ray P. A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research. Journal of the Association for Information Science and Technology 2015;66(3):576 View
  5. McAlearney A, Hefner J, Sieck C, Rizer M, Huerta T. Evidence-based management of ambulatory electronic health record system implementation: An assessment of conceptual support and qualitative evidence. International Journal of Medical Informatics 2014;83(7):484 View
  6. Struik M, Koster F, Schuit A, Nugteren R, Veldwijk J, Lambooij M. The preferences of users of electronic medical records in hospitals: quantifying the relative importance of barriers and facilitators of an innovation. Implementation Science 2014;9(1) View
  7. Lambooij M, Drewes H, Koster F. Use of electronic medical records and quality of patient data: different reaction patterns of doctors and nurses to the hospital organization. BMC Medical Informatics and Decision Making 2017;17(1) View
  8. Dennison K, Neil E, Powden C, Eberman L. Collegiate Athletic Trainers' Self-Reported Strategies and Motives for Using Electronic Medical Record Systems and Investigations Into Meaningful Use. Athletic Training & Sports Health Care 2021;13(5) View
  9. Iqbal U, Hsu C, Nguyen P, Clinciu D, Lu R, Syed-Abdul S, Yang H, Wang Y, Huang C, Huang C, Chang Y, Hsu M, Jian W, Li Y. Cancer-disease associations: A visualization and animation through medical big data. Computer Methods and Programs in Biomedicine 2016;127:44 View
  10. Hasan N, Bao Y, Miah S, Fenton A. Factors influencing the young physicians’ intention to use Internet of Things (IoT) services in healthcare. Information Development 2023;39(4):902 View
  11. Arabi Y, Al Ghamdi A, Al-Moamary M, Al Mutrafy A, AlHazme R, Al Knawy B. Electronic medical record implementation in a large healthcare system from a leadership perspective. BMC Medical Informatics and Decision Making 2022;22(1) View
  12. Jimma B, Enyew D. Barriers to the acceptance of electronic medical records from the perspective of physicians and nurses:A scoping review. Informatics in Medicine Unlocked 2022;31:100991 View

Books/Policy Documents

  1. Kreps G. The Handbook of Applied Communication Research. View
  2. Medhekar A, Nguyen J. Opportunities and Challenges in Digital Healthcare Innovation. View
  3. Overton B. Encyclopedia of Big Data. View
  4. O’ Connor Y, O’ Connor S, Heavin C, Gallagher J, O’ Donoghue J. Applied Computing in Medicine and Health. View
  5. Medhekar A, Nguyen J. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. View
  6. Overton B. Encyclopedia of Big Data. View