Using Modeling During Systems Analysis


Using Modeling During Systems Analysis

The Learning Resources for this week highlight the importance of taking a measured and methodical approach to planning for an information technology system at a health care organization. This Discussion gives you the opportunity to reflect on the different types of modeling that can be employed during systems analysis and to consider the value that modeling can bring to the process.

To prepare for this Discussion, consider the following scenario:

You are a member of a task force at a multi-specialty practice that is planning to purchase an electronic prescribing (e-prescribing) system. Although you and the other task force members are aware of the diverse functional needs of your practice and of the potential capabilities of e-prescribing systems that would supposedly meet these needs, you are not convinced that any e-prescribing system will ultimately achieve a high level of adoption and use within the practice. You decide to do some modeling as part of systems analysis; however, you and your fellow task force members are working under tight deadlines and only have a very limited window of time in which to do the modeling.

By Day 4, post a comprehensive response to the following:

· What one kind of modeling would you opt to do in this scenario? Why?

· How would doing this particular kind of modeling benefit the practice in the short term?

· How would it benefit the practice farther along in the systems development life cycle?

Read a selection of your colleagues’ postings.

By Day 6, respond to at least one of your colleagues’ postings in one or more of the following ways:

  • Ask a probing question.
  • Expand on the colleague’s posting with additional insight and resources.
  • Offer polite disagreement or critique, supported with evidence.

In addition, you may respond as follows:

  • Offer and support an opinion.
  • Validate an idea with your own experience.
  • Make a suggestion or comment that guides or facilitates the discussion.

Return to this Discussion in a few days to read the responses to your initial posting. Note what you have learned and/or any insights you have gained as a result of your colleagues’ comments. You are not required to post these final insights.

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  • Course Text: Wager, K. A., Lee, F. W., & Glaser, J.  P. (2017). Health care information systems: A practical approach for health care management (4th ed.). San Francisco: Jossey-Bass.
    • Chapter 5, “System Acquisition” (read pp. 141-143 through “Systems Development Life Cycle”)

      This reading selection introduces the systems development life cycle, which outlines the process an organization generally goes through in planning, selecting, implementing, and evaluating a health care information system.

  • Course Text: Tan, J. K. (2021). Adaptive health management information systems: Concepts, cases, and practical applications (4th ed.). Jones and Bartlett. 

    • Chapter 8, “Digital Health Strategic Planning and Strategies for Health Systems”


  • Bouamrane, M.-M., McGee-Lennon, M., Brewster, S., & Mair, F. (2011). Using process-mapping to design integrated health information management systems. 2011 24th International Symposium on Computer-Based Medical Systems (CBMS), Computer-Based Medical Systems (CBMS), 2011 24th International Symposium On, 1–6.
  • Teixeira, L., Xambre, A. R., Figueiredo, J., & Alvelos, H. (2016). Analysis and Design of a Project Management Information System: Practical Case in a Consulting Company. Procedia Computer Science100, 171–178.
  • Love, V. D., & Ness, L. R. (2016). Integrating ITSM into the corporate environmentJournal of Health Care Compliance18(3), 5–12.
  • Karahanna, E., Adela Chen, Qianqian Ben Liu, & Serrano, C. (2019). Capitalizing on health information technology to enable digital advantage in U.S. hospitals. MIS Quarterly43(1), 113–140.
  • Baillieu, R., Hoang, H., Sripipatana, A., Nair, S., & Lin, S. C. (2020). Impact of health information technology optimization on clinical quality performance in health centers: A national cross-sectional study. PloS One15(7), e0236019.

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