Assessment 3: Evaluation of an Information System Change

Hello everyone,

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.

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Evaluation Plan Table

Goals

Framework Component

Measurements

Frequency of Measurement

Reasons for Choosing the Measures

To have an efficient system, highly interoperable, facilitating data capture and data transmission in real-time.

· Quality of information framework

· Outcomes of quality care framework

a) Number and types of data files fed into the system.

b) The average time used in serving patients

Three months

a) Evaluating the number and types of data files will help to determine whether the system is consuming data in multiple formats as envisioned.

b) Changes in the average time used in serving patients will reliably indicate whether the system has improved efficiency, removed delays, and promoted interprofessional collaboration.