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Health informatics business case concepts

Demonstrate a mastery of the health informatics business case concepts, as well as, ability to
deliver a business justification in a clear and succinct format. This assignment is intended to mirror a real life
health information system business case process similar to those used at some health organizations. Students
are expected to provide well researched, thoughtful, and grammatically correct justifications for transitioning
from a state paper-based public health data collection system to an electronic system from the business
owner/programmatic perspective. A made-up scenario for the assignment is described in more detail under
section II.
You are the program lead for your state’s Cancer Registry Reporting program in the Department of Health and
have been tasked with leading the development of a business case to justify a transition from paper based
reporting to an electronic cancer surveillance system. You are collaborating closely with the Department’s
Health Informaticist Jane Field and the five other Cancer Program team members to complete the business
case and justification. The group has already determined that the Centers for Disease Control and Prevention’s
(CDC) free Registry Plus Suite is the preferred solution for the Cancer Registry Reporting program given that it
appears CDC will continue to support the core development, ongoing maintenance and software support
services at no cost to states. However, you have determined that the Department will need to procure
resources for help with Registry Plus Suite installation, setup, workflow redesign, connections to key data
sources, as well as, initial help desk support. The five other Cancer Program team members will focus on the
project management, communications, training, help desk support, reporting and analytics, and engagement
with key data sources.
The Department Director, Sally Newton, has requested a January 2019 go-live which needs to account for key
milestones in the software development life cycle. Immediately after the go-live, the team will work on
connecting to key data sources in several phases; the data sources include, hospitals, pathology labs,
oncology practices and radiation centers.
Clearly and succinctly address the following areas as part of a business justification for the investment to
Department leadership:

Sample Solution

ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor[15]. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl
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