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NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Evaluation of an Information System Change

Information System Changes in healthcare organizations (Villa Hospital) will help to overcome barriers, reduce the financial burden and provide patients with full support and access to the healthcare system. With the help of Information System Change, the overall performance level of the organization and patients’ well-being will be enhanced. The information system includes Remote patient monitoring and a patient portal to be present in an information system. In this assessment, we will provide you with a report of the evaluation of our information system change plan and its impact on the healthcare system (Wang et al., 2018). 

NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Part 1: Evaluation Report, Framework Components

Framework system consists of three components: The first part will provide the information quality, the Second will provide outcomes and effects of system change, and the third, what is the structural quality of that system change. These components depend upon the Change Management theory designed by Kurt that focuses on unfreezing, changing, and refreezing. With the help of this framework, we can evaluate the changes in the organization that we have planned like adding remote patient monitoring and a patient portal system for patients so that patient burden will be reduced, patients will get enhanced care and immediate monitoring and treatment(Menear et al., 2019). 

How to Access the Impact of Change Project 

The change in a healthcare organization can be accessed with three stages of Change management healthcare staff can use unfreeze, change, and refreezing stages with which we can access the impact of the change project. First is to provide stakeholders with relevant information regarding the technological change (remote patient monitoring and adding a patient portal in the information system) and also about the quality of change which is called as unfreeze method or information quality component of the framework. Secondly, implement or put that new technology or system in place which is considered to be the second stage of Change management (change), and also detect the outcomes of system change with the evaluation framework component. Thirdly it includes the utilization of a new system (refreeze) which will help to monitor or detect the structural quality of the new system in the organization (Edwards et al., 2020). 

  • Defining the Quality of the Information Framework 

In the first phase when you were defining your information systems change like remote patient monitoring or patient portal it is important to detect the correctness and completeness of data can be checked with the CRAAP test that will focus on Currency, Relevancy, Authority, Accuracy, and Purpose. Quality of information will also depend upon user satisfaction level that can be evaluated through surveys. With the new system, we will also detect the privacy concern of the patients as it is important that the new change will meet the guidelines of the Protected Health Information System (PHI) (Griggs et al., 2018). While defining, we must keep in mind the patient satisfaction level towards that new change whether patients want that change or not and that can be detected by the patient’s health condition (Abrams et al., 2022).

  • Defining Outcomes of Quality Care Framework

Outcomes of the system will be detected with the efficiency and appropriateness of care. As the implementation plan is designed and will be implemented in six months, we can monitor changes in the trial period of new changes within three months. In the trial period, efficiency will be detected through productivity as how productive this system is for patients whether the system is satisfying patient concerns, that system is economical for patients, and also reduces the death rate in the organization due to chronic or other diseases. With the help of remote patient monitoring and a patient portal, overall productivity will be enhanced as patients get full attention, care, monitoring, or treatment while staying at home (Mohammed et al., 2019). 

  • Defining the Structural Quality Framework

The third component includes a structural change in the system and in this phase, we have to define whether the organization has support for the system and how much effectiveness of software and hardware the use of the system is within the trial period. Along with this, we will also detect the overall functionality of the system this can be done by surveys, system initial monitoring, and feedback from stakeholders (Agarwal et al., 2019). 

NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Part 2: Evaluation Plan Table

The realistic Plan that is carried out for Villa Hospital focuses on five aspects goals, components, measurement, frequency,  and rationale measurements of the desired implementation plan. Vila Health is undergoing a change with the goal of providing cutting-edge medical care in a comfortable environment. Three framework components include Quality of Information, Outcomes of quality care, and structural quality of system change. This plan focuses on two major goals: to include all the participants in the meeting and to put changes into action. This chosen measure totally related to the outcome because it will increase their knowledge and understanding of utilizing the information system which will positively impact on the patient’s health. The chosen framework and measurement goals will improve the quality of performances plus increase patient satisfaction. In the table, we have provided measurement goals, frequency, and rationale measurements (Hathaliya et al., 2019). 

Part 3: Overview Discussion with Stakeholders

The training implementation Plan includes five stakeholders IT team, administrators, project managers, nurse informaticists, and Clinical Informatics, and the project goal is two bring change in the healthcare organization of Villa hospitals. The change includes Remote patient monitoring and patient portals that will help patients to get excessive care while staying at home. The evaluation report is designed to tell you the framework components used for change management (Quality information, outcomes of quality care, and structural quality of system change) (Al-Khawaja et al., 2019). 

The evaluation plan includes the monitoring of some barriers as patients did not get full care while staying at home and that is why the satisfaction level of patients is low and also they have financial concerns. Along with this nurses also have concerns like overburden. The monitoring will be accomplished by implementing changes like Remote patient monitoring and patient portal changes will help nurses to monitor patients through an information system and patients will also get full care. 

We monitor these barriers when the death rate of patients become high and most of the patient have the concerning issue that they would not get on time and at-home treatment. This specific data will reduce the risk of mortality and increase patient satisfaction level and also reduces costly treatment. One or two cogent points are that patients need excessive care after discharge from hospitals and that will be provided with remote patient monitoring. Along with this, nurses’ burden will be reduced with patient portals and remote monitoring technology (Al-Khawaja et al., 2019). 

Conclusion 

Remote patient monitoring and patient portals are the basic implementation plan because of this implementation, patients’ satisfaction rate goes high, the patient would not have to worry about treatment costs, and Healthcare will be provided to patients while staying at home. Along with this, the implementation of these changes will reduce the burden on healthcare staff and they will focus on their work with more productivity (Hathaliya et al., 2019). 

NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

References

Abrams, S., Delf, L., Drummond, R., & Kelly, K. (2022). The CRAAP Test. Open. Oregon state.education. https://open.oregonstate.education/goodargument/chapter/craap-test/

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). https://doi.org/10.1186/s12960-019-0422-0\

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. 

https://doi.org/10.1007/s11042-018-7134-7

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. 

https://doi.org/10.1080/14697017.2020.1755341

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). https://doi.org/10.1007/s10916-018-0982-x

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).

https://doi.org/10.1109/iacc48062.2019.8971593

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). https://doi.org/10.1186/s12961-019-0477-3

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. https://doi.org/10.1007/s10916-019-1362-x

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.

https://doi.org/10.1016/j.techfore.2015.12.019

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