HCS 533 WEEK 3 System Structures Overview (Learning Team Assignment)

<span itemprop="name">HCS 533 WEEK 3 System Structures Overview (Learning Team Assignment)</span>

HCS 533 WEEK 3 System Structures Overview (Learning Team Assignment)

Resource: System Structures Overview Grading Criteria

Your Learning Team is responsible for the selection of an information system structure used in health care. The following are some examples:

  • Clinical information structures, such as clinical data sets and severity of illness indexes
  • Health record structures in computer-driven formats
  • Administrative structures for clinical coordination and analysis of utilization patterns
  • Financial structures
  • Disease classification structures necessary for reimbursement and epidemiological data collection

Select an information system structure from above or find your own. The faculty member must approve your selection by Week Two.

Develop a 600- to 700-word summary with your team that includes each of the following items:

  • A description of the information system structure that was selected
  • The reason for your selection
  • How this structure is applicable to your work area
  • The benefits of your selection
  • Any negative aspects of your selection

Use a minimum of three references that directly support your analysis. This information will also be used for the final Learning Team assignment.

Format your paper consistent with APA guidelines.

Submit your assignment.

HCS 533 WEEK 3 System Structures Overview (Learning Team Assignment)

Resource: System Structures Overview Grading Criteria

Your Learning Team is responsible for the selection of an information system structure used in health care. The following are some examples:

  • Clinical information structures, such as clinical data sets and severity of illness indexes
  • Health record structures in computer-driven formats
  • Administrative structures for clinical coordination and analysis of utilization patterns
  • Financial structures
  • Disease classification structures necessary for reimbursement and epidemiological data collection