Basic life SUPPORT (BLS) following by Advanced cardiac life SUPPORT (ACLS) is intended to rescue the patients with acute circulatory or respiratory failure or both. The most important determinant of short and long-term neurologically intact survival is the interval from the onset of the cardiac or respiratory onset to restoration of effective spontaneous functions of these vital activities.It is commonly accepted that every physician, regardless of specialty, should be able to  perform CPR. It must be also emphasized that CPR, almost invariably, necessitates a rapid interventional follow-care with ACLS procedure.Without well-performed basic life SUPPORT, advanced cardiac life SUPPORT is of no remark-: able benefit, BLS and ACLS are processes that must be performed step by step and with respect to the patient's condition.

Introduction & Background: Radiology practice like any other discipline in medicine consists of professional problem solving. A practicing radiologist may face different kinds of problems from pathology finding in im-age, suggestion of appropriate workup in a specific situation, formulating relevant differential diagnosis list for comparison with normal variants and artifacts. When a radiologist has the opportunity to use a computer he/she will also be able to use digital material/technology to solve these problems and make sound DECISIONs. The available methods/materials for digital DECISION SUPPORT in radiology may be categorized as follow: A. Image Processing When a radiological image is captured or converted to digital format, techniques like edge enhancement and contrast change may improve the diagnostic value of an image and help in DECISION making. B. Computer-aided Detection Thoracic imaging and mammography are two fields with promising advances in computer-aided diagnosis (CAD). The ultimate role of CAD is as a second opinion besides radiologists own perception. It is obvious how-ever that when available, CAD may decrease detection errors in radiology practice. C. DECISION SUPPORT Databases Image Banks: An electronic atlas may be used to compare patient image to a predefined classified set of im-ages in order to help radiologist in pattern recognition. This may also be used for anatomic details and variants. Knowledge Bases: A digital differential diagnosis table or algorithmic approach to a specific problem may be helpful in reading room. Digital Textbooks: Classical radiological textbooks may be used in routine practice to remember some definitions, lists or hints, When available, digital version of textbooks are invaluable DECISION aids. D. Internet resources Online resources can be easily updated, widely used by different users, uniformly applied by different radiolo-gists. Although digital DECISION SUPPORT materials and technology have been proved effective for radiologists, they are not widely available. There exists some commercial products and free mainly online university re-sources. 

Quality Function Deployment (QFD) has been traditionally used as a planning tool primarily for product development and quality improvement. In this context, many people have used QFD for making DECISIONs on how to prioritize critical product areas from a customer perspective.However, it is the position of the author that the QFD process can be viewed as a DECISION SUPPORT system that would encompass multiple facets of information to enhance the quality and output of the DECISION making process in the course of product development. In this paper, the author submits the QFD process in combination with other engineering DECISION making tools such as the Pugh concept selection and the Kepner-Tregoe analysis technique as a DECISION making and modeling process that is as old as management science itself. Specifically, the attempt is made to illustrate how QFD provides an iterative sequence of steps involved in DECISION making, from the initial problem identification to a proposal for the actual implementation plan. To make this position more applicable to the reader, the subject has been approached from an actual business environment.