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University of Nairobi School of Computing and Informatics model for postimplementation evaluation of health information systems: The case of the 2 in Kenya by James Kara nu Gather P56/78997/2009Supervised
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Anyone involved in the post-implementation process of a model can benefit from having a model for post-implementation. This includes data scientists, machine learning engineers, software developers, project managers, and stakeholders responsible for monitoring the performance and impact of the implemented model. Having a detailed and well-documented model for post-implementation helps ensure transparency, reproducibility, and effective communication among all stakeholders.
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A model for post-implementation is a structured framework or plan that outlines the steps and processes required after a project has been completed.
The project manager or team responsible for the completion of the project is typically required to file a model for post-implementation.
A model for post-implementation can be filled out by documenting the project outcomes, lessons learned, recommendations for future projects, and any follow-up actions required.
The purpose of a model for post-implementation is to ensure that the outcomes of the project are documented, that any necessary follow-up actions are identified, and that lessons learned are captured for future projects.
Information that must be reported on a model for post-implementation includes project outcomes, lessons learned, recommendations for future projects, and follow-up actions.
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