Part II of Health Care Engineering begins with statistics on the occurrence of medical errors and adverse events, and includes some technological solutions. A chapter on electronic medical records follows. The knowledge management process divided into four steps is described; this includes a discussion on data acquisition, storage, and retrieval. The next two chapters discuss the other three steps of the knowledge management process (knowledge discovery, knowledge translation, knowledge integration and sharing). The last chapter briefly discusses usability studies and clinical trials. This two-part book consolidates material that supports courses on technology development and management issues in health care institutions. It can be useful for anyone involved in design, development, or research, whether in industry, hospitals, or government.

Autorentext

Monique Frize is a Distinguished Professor at Carleton and Professor Emerita at University of Ottawa. She was a biomedical engineer for 18 years in hospitals (1971-1989) and a professor in electrical and biomedical engineering since 1989. Monique Frize published over 200 papers in journals and conference proceedings on artificial intelligence in medicine, infrared imaging, ethics and women in engineering and science. She is SeniorMember of IEEE, Fellow of the Canadian Academy of Engineering (1992), Fellow of Engineers Canada (2010), Officer of the Order of Canada (1993) and recipient of the 2010 Gold Medal from Professional Engineers Ontario and the Ontario Society of Professional Engineers. On January 1, 2012, she will be a Fellow of IEEE for her work in clinical engineering and engineering education. She received five honorary doctorates in Canadian universities since 1992. Her book:The Bold and the Brave: A history of women in science and engineering was released by University of Ottawa Press in November 2009

Inhalt
Preface.- Adverse Events, Medical Errors, and the Role of Information Technology in Reducing Them.- The Electronic Medical Record (EMR): Design, Safety, and Meaningful Use.- Knowledge Management (KM) in a Clinical Environment: Data Acquisition, Storage, and Retrieval.- Knowledge Discovery (KD): Data Analysis and Data Mining Tools.- Knowledge Translation (KT), Integration, and Sharing (KIS) in a Clinical Environment.- Clinical Trials and Usability Studies in a Medical Environment.