Title |
Enterprise Imaging Governance: HIMSS-SIIM Collaborative White Paper
|
---|---|
Published in |
Journal of Digital Imaging, June 2016
|
DOI | 10.1007/s10278-016-9883-z |
Pubmed ID | |
Authors |
Christopher J. Roth, Louis M. Lannum, Carol L. Joseph |
Abstract |
Enterprise imaging governance is an emerging need in health enterprises today. This white paper highlights the decision-making body, framework, and process for optimal enterprise imaging governance inclusive of five areas of focus: program governance, technology governance, information governance, clinical governance, and financial governance. It outlines relevant parallels and differences when forming or optimizing imaging governance as compared with other established broad horizontal governance groups, such as for the electronic health record. It is intended for CMIOs and health informatics leaders looking to grow and govern a program to optimally capture, store, index, distribute, view, exchange, and analyze the images of their enterprise. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 47% |
Germany | 1 | 6% |
Canada | 1 | 6% |
Brazil | 1 | 6% |
Unknown | 6 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 59% |
Practitioners (doctors, other healthcare professionals) | 3 | 18% |
Scientists | 2 | 12% |
Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 71 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 18% |
Lecturer | 9 | 13% |
Student > Bachelor | 8 | 11% |
Student > Ph. D. Student | 6 | 8% |
Student > Doctoral Student | 3 | 4% |
Other | 14 | 20% |
Unknown | 18 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 15% |
Computer Science | 8 | 11% |
Nursing and Health Professions | 7 | 10% |
Social Sciences | 6 | 8% |
Engineering | 5 | 7% |
Other | 12 | 17% |
Unknown | 22 | 31% |