MSN 6416 Assessment 3 Evaluation of an Information System Change

Sample Answer for MSN 6416 Assessment 3 Evaluation of an Information System Change Included After Question

Write a 3-4 page evaluation report analyzing the frameworks for evaluating the impact of an information system and system change. Create an Excel or Word table evaluation plan for the project. Record an audio memo of three minutes or fewer to explain your plan to stakeholders.


Your submission will include three parts. The first part will be a written 3–4 page evaluation report, in which you will analyze the frameworks for evaluating the impact of an information system and system change. The second part will be a single page evaluation plan table. The third part will be a recorded audio or video overview discussion for stakeholders. The recording must be 3 minutes in duration or fewer. You can submit Parts 1 and 2 together as one document with the table listed as an appendix.

Part 1: Evaluation Report

For this part of your submission, you will define the three types of framework components. One is related to quality of information that is generated by the information system change, the second relates to the effects on outcomes of quality care due to the system change, and the third is the structural quality of the system with the change (Garcia-Dia, 2019, p. 376).

A Sample Answer For the Assignment: MSN 6416 Assessment 3 Evaluation of an Information System Change

Title: MSN 6416 Assessment 3 Evaluation of an Information System Change  

System change is crucial in present-day health care delivery as organizations transit to data-driven care. With nursing informatics enabling health care organizations to optimize outcomes, technologies to improve patient outcomes should be continually harnessed. A new or changed information system should improve functionality in the form of interoperability and information integration. However, nursing informatics specialists can only determine whether they have achieved this goal by evaluating the information system change. This evaluation report analyzes the frameworks for assessing the impact of an information change system change. They include the quality of information, outcomes of quality care, and structural quality frameworks.

Quality of Information Framework

In the implementation phase, different stakeholders worked collaboratively to change the current organization’s system characterized by inefficiencies and inconveniences. The system has not been up-to-date in terms of functionality and poses a significant risk to patients’ safety due to security vulnerabilities. Encouragingly, the new system has fixed many areas with the correctness of data among the leading areas as far as the quality of information is concerned. The current system prevents information duplication during order entries. It also ensures that data cannot be tampered with due to enhanced security. Unlike the previous system, the current system prevents data editing unless authorized by the data manager.

Other benefits associated with the system change include user satisfaction and patient privacy. Regarding user satisfaction, health information systems should be user-friendly; convenience should be prioritized (Hirschtritt & Hirschtritt, 2019). The new system factors this element by facilitating a mobile view. Data sharing in real-time to facilitate communication enhances satisfaction too. Communication through health information systems promotes inter-professional collaboration (Vos et al., 2020). The biometric identification tool for users addresses the patient privacy concern. It ensures that patient data will only be accessed and shared by authorized users.

Patient satisfaction is also expected to be high with the new system. Karaca and Durna (2019) found that one way of enhancing patient satisfaction is providing care that meets their needs and promoting confidence in care professionals and health systems. Interprofessional collaboration that the new system promotes will increase patient satisfaction since patient concerns will be addressed professionally, expertly, and timely. Besides, the new system allows patients to feed their data in multiple formats. As a result, patients can provide data in documents, images, video, audio files, or other ways as appropriate.

Outcomes of Quality Care Framework

Technology in health care helps to minimize the wastage of resources. In this case, technological systems should enhance efficiency, which is the same as the new system. Correct patient and user identification and quick information sharing will enable health care providers to serve more patients than before daily. Inefficiencies prompted by system hitches and avoidable delays will be eliminated. According to Bagshaw et al. (2020), delays in health care delivery increase the cost of care, lead to extended hospital stays and are among the leading causes of patient dissatisfaction. Efficient systems eliminate this problem by improving timeliness in care delivery.

The other central element of the quality care framework is the appropriateness of care. In the health practice, appropriate care is portrayed as providing proper care for all people, conditions, and situations (Coulter et al., 2019). The new system enables the organization to achieve this goal by enabling data-driven care. Enhanced interoperability implies that health care providers will readily interact and share patient data and make accurate decisions.

Structural Quality Framework

The primary reference items under this framework include organizational support, hardware and software effectiveness, and the overall functionality of the system. The new system has an improved structure for organizational support, enabling it to classify files and data depending on their characteristics. Additional functions in the overall structure include information dashboards and chat rooms.  The hardware component has also been significantly improved by using a current version to allow compatibility with the updated software and operating system.

Like the hardware component, the software is highly effective in supporting the system functions and encouraging use. The software version is current, and the system also allows automatic software updates. Here, the implication is that the system will not hamper the system functionality through update problems. Overall, the system functionality is excellent and will enable the organization to provide care that meets present day’s demands. It is defined by three primary elements- efficiency, user-friendliness, and security.


The shift from old to new health information systems can be challenging depending on the approaches a health care organization applies and the team involved. The current shift is facilitated by a multidisciplinary team, highly skilled in many areas pertaining to organizational change and technology integration in health practice. After implementation, it is crucial to evaluate a project to determine whether it met the desired objectives. As discussed under each framework, a new health information system should improve the quality of information and care. It should also be characterized by structural advancement to support more functions. It should be secure, user-friendly, and efficient always.


Bagshaw, S. M., Tran, D. T., Opgenorth, D., Wang, X., Zuege, D. J., Ingolfsson, A., … & Thanh, N. X. (2020). Assessment of costs of avoidable delays in intensive care unit discharge. JAMA Network open3(8), e2013913-e2013913. doi:10.1001/jamanetworkopen.2020.13913

Coulter, I., Herman, P., Ryan, G., Hilton, L., Hays, R. D., & Members of CERC Team. (2019). The challenge of determining appropriate care in the era of patient-centered care and rising health care costs. Journal of Health Services Research & Policy24(3), 201-206. doi:10.1177/1355819618815521

Hirschtritt, M. E., & Hirschtritt, D. B. (2019). Improving usability of health information technology. Jama322(4), 364-365. doi:10.1001/jama.2019.6455

Karaca, A., & Durna, Z. (2019). Patient satisfaction with the quality of nursing care. Nursing Open6(2), 535-545. DOI: 10.1002/nop2.237

Vos, J. F., Boonstra, A., Kooistra, A., Seelen, M., & van Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties. BMC Health Services Research20(1), 1-11.

This project provides a shift from an old, inefficient model to a new, highly effective system. The primary goal is to ensure that the organization has an efficient system, highly interoperable, facilitating data capture, and data transmission in real-time. Preliminary analysis shows that the new system is more capacitated to promote data-driven care. From a quality of information perspective, the new system has improved data correctness besides reducing the chances of tampering with patient data. Outcomes of quality care evaluation reveal a system that will help to reduce delays in information sharing. The system is also better in terms of structure and data organization.

Progressive improvement is necessary hence the need for system monitoring. I will monitor the number and types of data files fed into the system and the average time used in serving patients. Data will be tracked under each component after three months, and a comparative analysis will be done to determine the extent of change. Evaluating the number and types of data files will help determine whether the system is consuming data in multiple formats as envisioned. Changes in the average time used in serving patients will reliably indicate whether the system has improved efficiency, removed delays, and promoted interprofessional collaboration. As a concluding observation, stakeholders have been supportive up to this point. It is now the time to devise sustainability strategies to ensure that the system change will be lasting.

Evaluation Plan Table

GoalsFramework ComponentMeasurementsFrequency of MeasurementReasons for Choosing the Measures
To have an efficient system, highly interoperable, facilitating data capture and data transmission in real-time.Quality of information frameworkOutcomes of quality care frameworkNumber and types of data files fed into the system.The average time used in serving patientsThree months         Three monthsEvaluating the number and types of data files will help to determine whether the system is consuming data in multiple formats as envisioned.Changes in the average time used in serving patients will reliably indicate whether the system has improved efficiency, removed delays, and promoted interprofessional collaboration.