The lab parts are:
Tutorial labs, designed to help you understand just enough of the computer skills needed to conduct the project experiment for the week. Our course is not designed to teach you how to use a computer, although you do have to learn enough about this to be able to use a computer to do the experiment. The course is designed to teach you how computers are used, by professionals, and how such use can in fluence the relationships between them and their clients.
Film labs, designed to help sensitize you to the problems that computer usage (or skills) can cause between a professional persion and his or her clients. The film labs involve the showing of a film that is carefully selected to dramatize a particular kind of problem that can go so far as to actually harm people. Following the film, the second part of the lab, usually done that afternoon, is to work in a small group to prepare an essay to submit and ultimately make part of your class web site, that contrasts the film and the project lab that occurs that week.
Project labs, designed to have you learn, by direct participation, about a computer use or skill that could (should?) decidely enhance the relationship between you as a professional and your clients. Enhancements such as beeter communication, awareness, and understanding are candidates. Others would be better sharing of decision making power, and better collaboration between client and professional person. A set of five basic computer skills form the primary tools for doing these experiments. They are
The central rationale to these labs is to have them occur closely enough, and to be so directly experiential, that you will be sensitized to the strong impact that computer usage or computer skills can have on people who practice and participate in the health professions. What you do as a result of that sensitization is, of course, up to you.
Image and data generation (prepared and captured) Image and data sharing (networks and the web) Lab and Office automaton (robotics, records, billing, recall, etc.) Statistical decision making (drug efficacy) Data base designs (the Electronic Patient Record)