Strong IT effort underpins MOE/MAR success.
نویسندگان
چکیده
During the MOE/MAR implementation, the University Health Network's IT department faced a range of issues as it attempted to take advantage of recent technological advances and satisfy users within budget constraints. The challenges of doing so in this large, academic hospital organization are identified, drawing on both successful and less successful design and implementation efforts.
منابع مشابه
Active physician participation key to smooth MOE/MAR rollout.
Fundamental to the project's success was acceptance of MOE/MAR by UHN's physicians, yet many physicians questioned whether MOE/MAR would impede their ability to care for their patients. To ensure physician adoption, UHN presented MOE/MAR as a patient safety initiative from the beginning.
متن کاملTransforming healthcare organizations: looking back to see the future.
With a strong sense that MOE/MAR and its implementation have been a resounding success, the authors offer a final set of insights for healthcare leaders.
متن کاملThorough planning and full participation by pharmacists is key to MOE/MAR success.
The successful implementation of the Medication Order Entry/Medication Administration Record project was dependent on the Pharmacy department working collaboratively with many other stakeholders in the organization. To do this, the Pharmacy department faced numerous technical, staffing, workflow and clinical practice challenges during the design and implementation of MOE/ MAR.
متن کاملImplementing MOE/MAR: balancing project management with change management.
When Toronto-based University Health Network initiated its Medication Order Entry/Medication Administration Record project in 2001, it was well understood by the organization that this would be one of the largest change management initiatives undertaken, and would require rigorous project management, significant clinical involvement and a well-developed change management program.
متن کاملTwo-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings
Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings Tony Cai a , Weidong Liu b & Yin Xia a a Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA, 19104 b Department of Mathematics, Institute of Natural Sciences and MOE-LSC, Shanghai Jiao Tong University, Shanghai, China Accepted author version posted online: 02...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Healthcare quarterly
دوره 10 Spec No شماره
صفحات -
تاریخ انتشار 2006