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NURS FPX 6416 Assessment 3 Needs Assessment Meeting with Stakeholders

Student Name

Capella University

NURS-FPX 6416 Managing the Nursing Informatics Life Cycle

Prof. Name


Evaluation of Information System Change at Villa Hospital

Information system changes in healthcare organizations, such as Villa Hospital, are pivotal in overcoming barriers, alleviating financial burdens, and ensuring comprehensive patient support and access to healthcare services. The implementation of Information System Change can significantly enhance the overall performance of the organization and improve patients’ well-being (Wang et al., 2018).

Part 1: Evaluation Report, Framework Components

The framework for evaluating our system change comprises three key components. Firstly, assessing information quality; secondly, examining the outcomes and effects of the system change; and thirdly, evaluating the structural quality of the system change. These components align with Kurt Lewin’s Change Management theory, focusing on unfreezing, changing, and refreezing stages. This framework allows for a comprehensive evaluation of planned organizational changes, including remote patient monitoring and a patient portal system introduction, aimed at enhancing patient care, monitoring, and treatment (Menear et al., 2019).

Assessing the Impact of Change Project

Evaluating the change in a healthcare organization involves three stages: unfreezing, changing, and refreezing. These stages enable comprehensive assessment of the change project’s impact. Firstly, stakeholders are provided with relevant information regarding the technological change, corresponding to the unfreezing method or the information quality component. Secondly, the new technology or system is implemented, and the outcomes are assessed. Thirdly, the utilization of the new system helps monitor and assess its structural quality within the organization (Edwards et al., 2020).

Defining the Quality of the Information Framework

During the initial phase of defining information system changes, such as remote patient monitoring or a patient portal, it is crucial to evaluate data correctness and completeness. This can be achieved using the CRAAP test, examining Currency, Relevancy, Authority, Accuracy, and Purpose. Additionally, information quality depends on user satisfaction levels, assessable through surveys. Privacy concerns of patients are also essential, and adherence to Protected Health Information System (PHI) guidelines is imperative. Patient satisfaction should be considered when defining changes, determined based on patient health condition assessments (Abrams et al., 2022).

Defining Outcomes of Quality Care Framework

The outcomes of the system change are measured through the efficiency and appropriateness of care. The implementation plan, designed to be executed within six months, allows monitoring of changes during the first three months. Efficiency is gauged based on productivity, patient satisfaction, cost-effectiveness, and reduction in mortality rates due to chronic or other diseases. Implementing remote patient monitoring and a patient portal enhances productivity by providing comprehensive care and monitoring from home (Mohammed et al., 2019).

Defining the Structural Quality Framework

The third component involves structural changes within the system. During this phase, it is crucial to determine whether the organization supports the new system and assess the effectiveness of the software and hardware used within the trial period. Additionally, the overall functionality of the system can be evaluated through surveys, initial system monitoring, and stakeholder feedback (Agarwal et al., 2019).

Part 2: Evaluation Plan Table

The comprehensive plan for Villa Hospital emphasizes five key aspects: goals, components, measurements, frequency, and rationale measurements for the desired implementation plan. The primary objectives are to provide cutting-edge medical care in a comfortable environment, with a focus on including all participants in the change process and executing changes effectively. The chosen measures aim to increase knowledge and understanding of the information system’s utilization, ultimately improving patient health, quality of care, and patient satisfaction (Hathaliya et al., 2019).

Part 3: Overview Discussion with Stakeholders

The training implementation plan involves engaging five key stakeholders: the IT team, administrators, project managers, nurse informaticists, and Clinical Informatics. The primary goal is to bring about positive change in the healthcare organization of Villa Hospitals, encompassing the implementation of remote patient monitoring and patient portals to enhance patient care at home. The evaluation report outlines the framework components employed for change management, including Quality information, outcomes of quality care, and structural quality of system change (Al-Khawaja et al., 2019).

The evaluation plan encompasses monitoring potential barriers, such as patients’ concerns about receiving comprehensive care at home and financial considerations. Additionally, it addresses nurses’ concerns regarding increased workload. These barriers will be monitored through the implementation of changes, including remote patient monitoring and patient portal enhancements, enabling nurses to monitor patients effectively and ensuring patients receive thorough care.

Monitoring these barriers is essential, particularly when the mortality rate of patients is on the rise due to concerns about timely and at-home treatment. Gathering specific data in this regard will help reduce the risk of mortality, increase patient satisfaction, and decrease the overall cost of treatment. It is crucial to acknowledge that patients often require extensive care after discharge. Furthermore, patient portals and remote monitoring technology will alleviate the burden on nurses (Al-Khawaja et al., 2019).


The implementation of remote patient monitoring and patient portals constitutes a fundamental part of our change plan. These changes have the potential to significantly increase patient satisfaction, alleviate concerns about treatment costs, and provide healthcare services to patients in the comfort of their homes. Additionally, these changes will reduce the burden on healthcare staff, allowing them to work more productively (Hathaliya et al., 2019).


Abrams, S., Delf, L., Drummond, R., & Kelly, K. (2022). The CRAAP Test. Open. Oregon

Agarwal, S., Sripad, P., Johnson, C., Kirk, K., Bellows, B., Ana, J., Blaser, V., Kumar, M. B., Buchholz, K., Casseus, A., Chen, N., Dini, H. S. F., Deussom, R. H., Jacobstein, D., Kintu, R., Kureshy, N., Meoli, L., Otiso, L., Pakenham-Walsh, N., & Zambruni, J. P. (2019). A conceptual framework for measuring community health workforce performance within primary health care systems. Human Resources for Health, 17(1).\

Al-khafajiy, M., Baker, T., Chalmers, C., Asim, M., Kolivand, H., Fahim, M., & Waraich, A. (2019). Remote health monitoring of the elderly through wearable sensors. Multimedia Tools and Applications, 78(17), 24681–24706.

Edwards, K., Prætorius, T., & Nielsen, A. P. (2020). A model of cascading change: orchestrating planned and emergent change to ensure employee participation. Journal of Change Management, 20(4), 1–27.

NURS FPX 6416 Assessment 3 Needs Assessment Meeting with Stakeholders

Griggs, K. N., Ossipova, O., Kohlios, C. P., Baccarini, A. N., Howson, E. A., & Hayajneh, T. (2018). Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. Journal of Medical Systems, 42(7).

Hathaliya, J., Sharma, P., Tanwar, S., & Gupta, R. (2019). Blockchain-based remote patient monitoring in healthcare 4.0. 2019 IEEE 9th International Conference on Advanced Computing (IACC).

Menear, M., Blanchette, M.-A., Demers-Payette, O., & Roy, D. (2019). A framework for value-creating learning health systems. Health Research Policy and Systems, 17(1).

Mohammed, K. I., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alsalem, M. A., Albahri, A. S., Hadi, A., & Hashim, M. (2019). Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure. Journal of Medical Systems, 43(7), 223.

Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(1), 3–13.

NURS FPX 6416 Assessment 3 Needs Assessment Meeting with Stakeholders