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At least 1,243 records · Page 69Linked to original sources
PubMed1998

Innovative informatics education: aligning theory and practice through strategic partnership.

The University of Victoria School of Health Information Science (HINF) and The Toronto Hospital (TTH) have formed a strategic partnership to align current information management theory with practical experience. The fourth year undergraduate course in Information Management and Technology was redesigned to include a joint research project with TTH. Staff from TTH were paired with groups of 2-3 students to explore current information management issues. Technology such as electronic mail and conference calls enabled timely communication. Final results were presented via video conference at the end of the term and jointly graded by the professor and hospital staff. Over the three years, a variety of projects have been undertaken and the approach has been refined. Each year offered new insight to both students and staff. Findings include several key success factors: senior level support, early planning, timely communication, access to technology, and opportunity for staff and student feedback. This partnership offers strategic advantages to both organizations in innovation, mutual learning, recruiting, and partnership. Next steps include expansion of the project to a regional model and seminars on current information management topics for TTH staff.

Canada↗
PubMed1998

Concepts of a Web-based open distributed textbook for the multimodal diagnostics of gastrointestinal tumours with MRI, CT and video-endoscopy addressing students of medicine and students of medical informatics as two different target groups.

Multimodal diagnostics of gastrointestinal tumours with MRI, CT and video-endoscopy is a rapidly changing domain. The education at our universities should overcome the obstacles of traditional learning based on paper media and oral lectures with retention rates of 10-30% only. The paper presents the objectives and the results of the design phase of the project ODITEB1-Open Distributed TExt Book, for Computer-Assisted Instruction in the domain mentioned above. The main objective is to produce an electronic interactive textbook in order to shift education to more efficient learning settings with higher retention rates. The main concepts are 1) three-layer architecture (dynamic case layer, intermediate query layer, static instruction layer) 2) case pool distribution 3) active learners experience (interactive exploration of original image data).

Computer-Assisted Instruction↗
PubMed1999

[Informatics, robotics and medicine].

Information technology is becoming common use in Medicine. Among the numerous applications are data processing, image analysis, 3D reconstruction, telemedicine, to mention only few of them. The interest of computers in surgical research and development is lesser known. Two examples are given: computer aided conception and simulation of physiologic systems. Robotics has been introduced more recently. There are three types of robotics corresponding to three types of use: targetting used by neural surgeons to localize tumors or anatomical structures, visualization used by general surgeons to hold and mobilize laparoscopes, instrumentation introduced more recently by cardiac surgeons to perform totally endoscopic cardiac operations. All these techniques open new ways for tomorrow "Instrumental Medicine".

Image Processing, Computer-Assisted↗
PubMed1999

Ten essential clinical informatics skills.

Information skills are basic to good medical practice. Every clinician needs to understand the principles of data interpretation, the logical foundations of the diagnostic process, and the management of uncertainty in clinical knowledge. Understanding the implications of using one medium rather than another is central to developing effective communication skills as these communication options become commonplace in the community.

Communication↗
PubMed1999

Clinical informatics: 2000 and beyond.

Healthcare has begun to flounder in the mounting flood of data available from automated monitoring equipment, microprocessor controlled life-support equipment, such as ventilators, ever more sophisticated laboratory tests, and the myriad of minor technological wonders that every hospital and clinic seem to collect. It is no longer enough to merely display the data in a large spreadsheet or on a complex, colorful time-sequence graph. The next generation of healthcare information systems must help the clinician to assimilate the myriad of data and to make fast and effective decisions. The following is a list of features that the next generation of computer systems will have to include if they are to have a significant impact on the quality of patient care: data acquisition, data storage, information display, data processing, and decision support. By automating or streamlining repetitive or complex tasks, correlating and presenting complex and potentially confusing data, and tracking patient outcomes, the computer can augment clinicians' skills to improve patient care.

Computer Systems↗