Title |
Clinical review: The hospital of the future - building intelligent environments to facilitate safe and effective acute care delivery
|
---|---|
Published in |
Critical Care, April 2012
|
DOI | 10.1186/cc11142 |
Pubmed ID | |
Authors |
Brian W Pickering, John M Litell, Vitaly Herasevich, Ognjen Gajic |
Abstract |
The translation of knowledge into rational care is as essential and pressing a task as the development of new diagnostic or therapeutic devices, and is arguably more important. The emerging science of health care delivery has identified the central role of human factor ergonomics in the prevention of medical error, omission, and waste. Novel informatics and systems engineering strategies provide an excellent opportunity to improve the design of acute care delivery. In this article, future hospitals are envisioned as organizations built around smart environments that facilitate consistent delivery of effective, equitable, and error-free care focused on patient-centered rather than provider-centered outcomes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 28% |
India | 2 | 11% |
Uruguay | 1 | 6% |
Saudi Arabia | 1 | 6% |
Mexico | 1 | 6% |
Spain | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 56% |
Practitioners (doctors, other healthcare professionals) | 7 | 39% |
Scientists | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 5% |
Brazil | 3 | 2% |
Indonesia | 1 | <1% |
Germany | 1 | <1% |
Canada | 1 | <1% |
South Africa | 1 | <1% |
Belgium | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Unknown | 126 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 19% |
Researcher | 23 | 16% |
Student > Master | 20 | 14% |
Other | 11 | 8% |
Student > Doctoral Student | 8 | 6% |
Other | 32 | 23% |
Unknown | 21 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 51 | 36% |
Nursing and Health Professions | 14 | 10% |
Engineering | 13 | 9% |
Computer Science | 7 | 5% |
Social Sciences | 7 | 5% |
Other | 23 | 16% |
Unknown | 27 | 19% |