Discussion: The Inclusion of Nurses in the Systems Development Life Cycle

NURS 6051

Discussion: The Inclusion of Nurses in the Systems Development Life Cycle

The Inclusion of Nurses in the Systems Development Life Cycle SAMPLE 1

The involvement of nurses in every stage of the is critical when purchasing and implementing new health information technology systems. The primary implications associated with the failure are inclusive of the potential loss of engagement of the nurses are the primary care providers since their attention is inadequately captured (East & Robinson, 2017). The next complexity associated with the practice is creating an environment that lacks trust in the change process and reliability in the competence and experience of the change implementers. Moreover, this is attributed to the concept that new systems integrate competing priorities that are viable to decline the interest of target nurses (French-Bravo & Crow, 2018). As a result, this triggers instances of frustration and employee burnout. The other implication is that conceptualized individual goals and nurse beliefs and ideologies may not align with the organizational values. Hence, this contributes to a loss of individualistic connection with the new system leading to inefficiency.

The initial involvement of nurses triggers commitment to the as they are empowered and encouraged to participate in different stages of the SDLC. Further, the participation helps overcome the challenges by allowing for the connection of the nurses to the delivery care systems leading to personalized relationships and motivation when serving patient populations (Chreim et al., 2020). Moreover, this effectively prompts dedication of time and efforts towards implementing the new system. If the nurses are not effectively involved in the process, it implies that the first contact with the system is during the implementation. It limits the nurse’s scope of the specific details integrated making, which potentially delays the execution process (East & Robinson, 2017). In my organizational setting, I have been involved in planning a new healthcare technology that aims to improve service provision to patients by minimizing the time spent in consultation and prescription. The involvement eased the implementation process as I understood the core elements of the proposals and could help others execute the program effectively, resulting in quality patient outcomes.

References

Chreim, S., Williams, B. B., Janz, L., & Dastmalchian, A. (2020). Change agency in a primary   health care context: The case of distributed leadership. Health care management       review, 35(2), 187-199.

East, L., & Robinson, J. (2017). Change in the process: bringing about change in health care through action research. Journal of clinical nursing, 3(1), 57-61.

French-Bravo, M. & Crow, G. (2018). Shared Governance: The Role of Buy-In In Bringing             About Change. OJIN: The Online Journal of Issues in Nursing, 20(2).

Debora, geat point of views.

I am also agreeing with you in reference to The initial involvement of nurses triggers commitment to the proposed systems as they are empowered and encouraged to participate in different stages of the SDLC. We need nurses in al aspect of SDLC process. According to McGonigle and Mastrian (2018), the Systems Delopement Life Cycle (SDLC) is similar to the nursing progress were nurses use assessment, diagnosis, planning, implenting, and evaluation when caring for our patients.

It is also essential for nurses to be involved in the initial phases of the SDLC process. There are several issues should be considered before proceeding
with an analysis plan:

1. It may be necessary to adjust for patient care
unit, timeofday, or patient volume to account
for possible confounding.

2. Consider the structure and roles of staff,
especially between organizations. For example,
one site may hire nursing assistants; therefore,
nurses in this organization may perform less
administrative work than those in an
organization without nursing assistants.

3. Your data collection and analysis plan should be
based on sound methodology. To achieve valid
results, consider planning your analysis with the
input of a trained statistician to determine
sample size and appropriate statistical
techniques. It is not uncommon to begin
analyzing data, only to find the original
statistical plan was flawed, leaving you with
data that is inadequate for analysis.

4. Because of the complex environments of
inpatient organizations, implementing health
IT is not just a technical undertaking. Multiple
factors from the implementation could cause
changes in nurses’ work, including policy
changes and training. Consider having a trained
human factors professional review your plan

Reference

McGonigle, D., & Mastrain, K.G (2018). Nursing informatics and the foundation of knowledge (4th Ed.). Jones  and Bartlett learning.

Agency for Healthcare Research and Quality. (n.d.a). Health IT evaluation toolkit and evaluation measures quick reference guide. Retrieved January 26, 2022, from https://digital.ahrq.gov/health-it-evaluationkit