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Evaluating a Newly Implemented Technology in Practice

Evaluating a Newly Implemented Technology in Practice

Evaluation is analyzing the performance and efficacy of a newly installed technology by looking at the information and feedback channels used by stakeholders and actors engaged in achieving the desired outcomes. When new technology is utilized in a context, the reviewing team looks at how it affects workflow, efficiency, performance, patient values, and results. A comprehensive review analyzes the technology and the device’s worth from the technical, market, and consumer viewpoints and then reconciles the findings in a legitimate context. Reviewing newly deployed technology gives policymakers, health professionals, funding agencies, and health consumers the knowledge they need to evaluate the advantages and relative worth of health technologies and processes after they’ve been implemented in a setting. Hire our assignment writing services in case your assignment is devastating you.

The evaluation process involves systematic approaches to determine new technology’s impacts, properties, and effects. The evaluation process involves appraisal, assessment, and decision-making regarding the performance of new technology (Mishra et al., 2020). The evaluation team collects data, information, feedback, and critical reviews of scientific evidence produced during the assessment while utilizing the newly implemented technology. The appraisal phase involves a committee that reviews the check, considering all possible factors to make appropriate recommendations. The last step undertaken during valuation involves decision-making or implementation of the recommendations. The phase-only exists where a gap exists, and a correct decision must be made to reconcile the optimum results.

The evaluation process utilizes two main data collection methods: primary and secondary data methods (Safi et al., 2018). The primary data method collects information through observation studies and evidence from clinical trials. In contrast, Secondary data methods combine preliminary data with information from other sources like patient feedback to understand the performance of the technology. An example of an evaluation of technology is determining how insulin pumps have improved the health outcomes and quality of life for diabetic patients. Another example of evaluation is the study of the impacts of linear accelerators on the treatment and management of cancer and their influence on treatment sessions and individual needs.

References

Mishra, A. R., Mardani, A., Rani, P., & Zavadskas, E. K. (2020). A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures—Journal l of Cleaner Production, 272, 122807.

Safi, S., Thiessen, T., & Schmailzl, K. J. (2018). Acceptance and resistance of new digital technologies in medicine: a qualitative study. JMIR research protocols, 7(12), e11072.

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Question 


Evaluating a Newly Implemented Technology in Practice

How do you determine if the technology implemented was a success? Provide examples.

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