constraints faced by the system, and the assumptions that were made both about the systems it will be interacting with, and the people who will be using the system.
2.1 Product Perspective
The system is the data analysis portion of an electronic medical record. The system will, given a diagnosis from a doctor about a certain patient, find and create a relevant treatment plan for that patient. The system will suggest these treatments using information regarding patient specific information, medical best practices and relevant clinical trials. As seen in figure 2.1, the TreatmentManager will get all of this information and then be able to design a treatment.
Figure 2.1. TreatmentManager
The system is just one part of a complete EMR system. The other pieces of an EMR system are the data collection and data dissemination pieces respectively. The data collection piece of the system would be required to collect all of the input given by medical professionals, and store all of this data into an accessible location. The project would use this information and make a treatment decision using all of this data. The other piece of a successful EMR, the data dissemination piece, would take the information, and find current medical trends. It would check whether people from a certain area were more prone to a certain disease. See Figure 2.2 for an example of a complete EMR system. Notice that the data dissemination and data analysis pieces run concurrently. This is because both systems take the same data from the data collection section, and use it in different ways.
Data Ana ys s
Data Co ect on
Data D ssem nat on
Figure 2.2. Complete EMR System
Template based on IEEE Std 830-1998 for SRS. Modifications (content and ordering of information) have been made by Betty H.C. Cheng, Michigan State University (chengb at chengb.cse.msu.edu)